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1. A Next-Generation Approach to Airline Reservations: Integrating Cloud Microservices with AI and Blockchain for Enhanced Operational Performance

Author

Barua, Biman and Kaiser, M. Shamim

Subjects
Computer Science - Artificial Intelligence, Computer Science - Computational Engineering, Finance, and Science
Abstract

This research proposes the development of a next generation airline reservation system that incorporates the Cloud microservices, distributed artificial intelligence modules and the blockchain technology to improve on the efficiency, safety and customer satisfaction. The traditional reservation systems encounter issues related to the expansion of the systems, the integrity of the data provided and the level of service offered to the customers, which is the main focus of this architecture through the modular and data centric design approaches. This will allow different operations such as reservations, payments, and customer data management among others to be performed separately thereby facilitating high availability of the system by 30% and enhancing performance of the system by 40% on its scalability. Such systems contain AI driven modules that utilize the past booking patterns along with the profile of the customer to estimate the demand and make recommendations, which increases to 25 % of customer engagement. Moreover, blockchain is effective in engaging an incorruptible ledger system for the all transactions therefore mitigating fraud incidences and increasing the clarity by 20%. The system was subjected to analysis using a simulator and using machine learning evaluations that rated it against other conventional systems. The results show that there were clear enhancements in the speed of transactions where the rates of secure data processing rose by 35%, and the system response time by 15 %. The system can also be used for other high transaction industries like logistics and hospitality. This structural design is indicative of how the use of advanced technologies will revolutionize the airline reservation sector. The implications are growing effectiveness, improvement in security and greater customer contentment., Comment: 25 pages, 8 figures

Published
2024

2. Leveraging Microservices Architecture for Dynamic Pricing in the Travel Industry: Algorithms, Scalability, and Impact on Revenue and Customer Satisfaction

Author

Barua, Biman and Kaiser, M. Shamim

Subjects
Computer Science - Computational Engineering, Finance, and Science, Computer Science - Computation and Language, Computer Science - Distributed, Parallel, and Cluster Computing, Computer Science - Computer Science and Game Theory
Abstract

This research investigates the implementation of a real-time, microservices-oriented dynamic pricing system for the travel sector. The system is designed to address factors such as demand, competitor pricing, and other external circumstances in real-time. Both controlled simulation and real-life application showed a respectable gain of 22% in revenue generation and a 17% improvement in pricing response time which concern the issues of scaling and flexibility of classical pricing mechanisms. Demand forecasting, competitor pricing strategies, and event-based pricing were implemented as separate microservices to enhance their scalability and reduce resource consumption by 30% during peak loads. Customers were also more content as depicted by a 15% increase in satisfaction score post-implementation given the appreciation of more appropriate pricing. This research enhances the existing literature with practical illustrations of the possible application of microservices technology in developing dynamic pricing solutions in a complex and data-driven context. There exist however areas for improvement for instance inter-service latency and the need for extensive real-time data pipelines. The present research goes on to suggest combining these with direct data capture from customer behavior at the same time as machine learning capacity developments in pricing algorithms to assist in more accurate real time pricing. It is determined that the use of microservices is a reasonable and efficient model for dynamic pricing, allowing the tourism sector to employ evidence-based and customer centric pricing techniques, which ensures that their profits are not jeopardized because of the need for customers., Comment: 19 pages, 18 figures

Published
2024

3. Novel Architecture for Distributed Travel Data Integration and Service Provision Using Microservices

Author

Barua, Biman and Kaiser, M. Shamim

Subjects
Computer Science - Computational Engineering, Finance, and Science, Computer Science - Computation and Language, Computer Science - Distributed, Parallel, and Cluster Computing
Abstract

This paper introduces a microservices architecture for the purpose of enhancing the flexibility and performance of an airline reservation system. The architectural design incorporates Redis cache technologies, two different messaging systems (Kafka and RabbitMQ), two types of storages (MongoDB, and PostgreSQL). It also introduces authorization techniques, including secure communication through OAuth2 and JWT which is essential with the management of high-demand travel services. According to selected indicators, the architecture provides an impressive level of data consistency at 99.5% and a latency of data propagation of less than 75 ms allowing rapid and reliable intercommunication between microservices. A system throughput of 1050 events per second was achieved so that the acceptability level was maintained even during peak time. Redis caching reduced a 92% cache hit ratio on the database thereby lowering the burden on the database and increasing the speed of response. Further improvement of the systems scalability was done through the use of Docker and Kubernetes which enabled services to be expanded horizontally to cope with the changes in demand. The error rates were very low, at 0.2% further enhancing the efficiency of the system in handling real-time data integration. This approach is suggested to meet the specific needs of the airline reservation system. It is secure, fast, scalable, all serving to improve the user experience as well as the efficiency of operations. The low latency and high data integration levels and prevaiing efficient usage of the resources demonstrates the architecture ability to offer continued support in the ever growing high demand situations., Comment: 20 pages, 12 figures

Published
2024

4. Enhancing Resilience and Scalability in Travel Booking Systems: A Microservices Approach to Fault Tolerance, Load Balancing, and Service Discovery

Author

Barua, Biman and Kaiser, M. Shamim

Subjects
Computer Science - Software Engineering, Computer Science - Artificial Intelligence, Computer Science - Computational Engineering, Finance, and Science, Computer Science - Machine Learning
Abstract

This paper investigates the inclusion of microservices architecture in the development of scalable and reliable airline reservation systems. Most of the traditional reservation systems are very rigid and centralized which makes them prone to bottlenecks and a single point of failure. As such, systems do not meet the requirements of modern airlines which are dynamic. Microservices offer better resiliency and scalability because the services do not depend on one another and can be deployed independently. The approach is grounded on the Circuit Breaker Pattern to maintain fault tolerance while consuming foreign resources such as flight APIs and payment systems. This avoided the failure propagation to the systems by 60% enabling the systems to function under external failures. Traffic rerouting also bolstered this with a guarantee of above 99.95% uptime in systems where high availability was demanded. To address this, load balancing was used, particularly the Round-Robin method which managed to enhance performance by 35% through the equal distribution of user requests among the service instances. Health checks, as well as monitoring in real-time, helped as well with failure management as they helped to contain failures before the users of the system were affected. The results suggest that the use of microservices led to a 40% increase in system scalability, a 50% decrease in downtime and a support for 30% more concurrent users than the use of monolithic architectures. These findings affirm the capability of microservices in the development of robust and flexible airline ticket booking systems that are responsive to change and recover from external system unavailability., Comment: 18 pages, 3 figures

Published
2024

5. Optimizing Travel Itineraries with AI Algorithms in a Microservices Architecture: Balancing Cost, Time, Preferences, and Sustainability

Author

Barua, Biman and Kaiser, M. Shamim

Subjects
Computer Science - Software Engineering, Computer Science - Artificial Intelligence, Computer Science - Computers and Society, Computer Science - Machine Learning
Abstract

The objective of this research is how an implementation of AI algorithms in the microservices architecture enhances travel itineraries by cost, time, user preferences, and environmental sustainability. It uses machine learning models for both cost forecasting and personalization, genetic algorithm for optimization of the itinerary, and heuristics for sustainability checking. Primary evaluated parameters consist of latency, ability to satisfy user preferences, cost and environmental concern. The experimental results demonstrate an average of 4.5 seconds of response time on 1000 concurrent users and 92% of user preferences accuracy. The cost efficiency is proved, with 95% of provided trips being within the limits of the budget declared by the user. The system also implements some measures to alleviate negative externalities related to travel and 60% of offered travel plans had green options incorporated, resulting in the average 15% lower carbon emissions than the traditional travel plans offered. The genetic algorithm with time complexity O(g.p.f) provides the optimal solution in 100 generations. Every iteration improves the quality of the solution by 5%, thus enabling its effective use in optimization problems where time is measured in seconds. Finally, the system is designed to be fault-tolerant with functional 99.9% availability which allows the provision of services even when requirements are exceeded. Travel optimization platform is turned dynamic and efficient by this microservices based architecture which provides enhanced scaling, allows asynchronous communication and real time changes. Because of the incorporation of Ai, cost control and eco-friendliness approaches, the system addresses the different user needs in the present days travel business., Comment: 18 pages, 6 figures

Published
2024

6. Blockchain-Based Trust and Transparency in Airline Reservation Systems using Microservices Architecture

Author

Barua, Biman and Kaiser, M. Shamim

Subjects
Computer Science - Software Engineering, Computer Science - Computational Engineering, Finance, and Science
Abstract

This research gives a detailed analysis of the application of blockchain technology to the airline reservation systems in order to bolster trust, transparency, and operational efficiency by overcoming several challenges including customer control and data integrity issues. The study investigates the major components of blockchain technology such as decentralised databases, permanent records of transactions and transactional clauses executed via codes of programs and their impacts on automated systems and real-time tracking of audits. The results show a 30% decrease in booking variations together with greater data synchronization as a result of consensus processes and resistant data formations. The approach to the implementation of a blockchain technology for the purpose of this paper includes many APIs for the automatic multi-faceted record-keeping system including the smart contract execution and controllable end-users approach. Smart contracts organized the processes improving the cycle times by 40% on the average while guaranteeing no breach of agreements. In addition to this, the architecture of the system has no single point failure with over 98% reliability while measures taken to improve security have led to 85% of the customers expressing trust in the services provided. In summation, the results suggest that reservations in the airline sector stand a chance of being redefined with blockchain through savoring the benefits of a single source of truth while attempting to resolve this intrinsic problem of overcomplexity. Although the system improves the experience of customers and the level of operational transparency, issues concerning scalability and regulatory adherence. This research is also a stepping stone for further studies that are intended to address these challenges and more applicable to the airline industry., Comment: 17 pages, 7 Figures

Published
2024

8. Internet of Educational Things (IoET): Enhancing Learning Experiences for People with Disabilities

Author

Ahmed, Afrin, Kaiser, M. Shamim, Rahman, Md. Sazzadur, Al Mamun, Shamim, Rahman, M. Mostafizur, Mahmud, Mufti, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Mahmud, Mufti, editor, Kaiser, M. Shamim, editor, Bandyopadhyay, Anirban, editor, Ray, Kanad, editor, and Al Mamun, Shamim, editor

Published
2025
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9. Exploring the Effectiveness of Region-Based CNNs in Skin Cancer Diagnosis

Author

Mahmud, Tanjim, Barua, Koushick, Chakma, Kanchan, Chakma, Rishita, Sharmen, Nahed, Kaiser, M. Shamim, Hossain, Md. Sazzad, Hossain, Mohammad Shahadat, Andersson, Karl, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Mahmud, Mufti, editor, Kaiser, M. Shamim, editor, Bandyopadhyay, Anirban, editor, Ray, Kanad, editor, and Al Mamun, Shamim, editor

Published
2025
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10. A Deep Learning-Based Approach for Engagement Assessment of Students with Autism Spectrum Disorder

Author

Aminul Islam Shanto, Md., Joya, Sraboni Ghosh, Shamim Kaiser, M., Sazzadur Rahman, Md., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Mahmud, Mufti, editor, Kaiser, M. Shamim, editor, Bandyopadhyay, Anirban, editor, Ray, Kanad, editor, and Al Mamun, Shamim, editor

Published
2025
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11. A Two-Stage Stacking Ensemble Learning for Employee Attrition Prediction

Author

Barman, Sourav, Biswas, Md. Raju, Marjan, Sultana, Nahar, Nazmun, Imam, Md. Hasan, Mahmud, Tanjim, Kaiser, M. Shamim, Hossain, Mohammad Shahadat, Andersson, Karl, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Mahmud, Mufti, editor, Kaiser, M. Shamim, editor, Bandyopadhyay, Anirban, editor, Ray, Kanad, editor, and Al Mamun, Shamim, editor

Published
2025
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12. Deep Learning Solutions for Detecting Bangla Fake News: A CNN-Based Approach

Author

Habiba, Sultana Umme, Mahmud, Tanjim, Naher, Sultana Rokeya, Aziz, Mohammad Tarek, Rahman, Taohidur, Datta, Nippon, Hossain, Mohammad Shahadat, Andersson, Karl, Shamim Kaiser, M., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Mahmud, Mufti, editor, Kaiser, M. Shamim, editor, Bandyopadhyay, Anirban, editor, Ray, Kanad, editor, and Al Mamun, Shamim, editor

Published
2025
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13. A Deep Learning-Based Framework for Detecting Depression from Electroencephalogram Signals

Author

Singh, Akshay Kumar, Singh, Pawan Kumar, Kaiser, M. Shamim, Mahmud, Mufti, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Mahmud, Mufti, editor, Kaiser, M. Shamim, editor, Bandyopadhyay, Anirban, editor, Ray, Kanad, editor, and Al Mamun, Shamim, editor

Published
2025
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14. Ensemble Learning Approaches for Alzheimer’s Disease Classification in Brain Imaging Data

Author

Mahmud, Tanjim, Aziz, Mohammad Tarek, Uddin, Mohammad Kamal, Barua, Koushick, Rahman, Taohidur, Sharmen, Nahed, Shamim Kaiser, M., Sazzad Hossain, Md., Hossain, Mohammad Shahadat, Andersson, Karl, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Mahmud, Mufti, editor, Kaiser, M. Shamim, editor, Bandyopadhyay, Anirban, editor, Ray, Kanad, editor, and Al Mamun, Shamim, editor

Published
2025
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17. Early Prediction of Chronic Kidney Disease Using Machine Learning Algorithms with Feature Selection Techniques

Author

Umme Habiba, Sultana, Tasnim, Farzana, Hasan Chowdhury, Mohammad Saeed, Islam, Md. Khairul, Nahar, Lutfun, Mahmud, Tanjim, Kaiser, M. Shamim, Hossain, Mohammad Shahadat, Andersson, Karl, Ghosh, Ashish, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Mahmud, Mufti, editor, Ben-Abdallah, Hanene, editor, Kaiser, M. Shamim, editor, Ahmed, Muhammad Raisuddin, editor, and Zhong, Ning, editor

Published
2024
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18. YOLO-V4 Based Detection of Varied Hand Gestures in Heterogeneous Settings

Author

Aziz, Atia Binti, Basnin, Nanziba, Farshid, Mohammad, Akhter, Mohoshena, Mahmud, Tanjim, Andersson, Karl, Hossain, Mohammad Shahadat, Kaiser, M. Shamim, Ghosh, Ashish, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Mahmud, Mufti, editor, Ben-Abdallah, Hanene, editor, Kaiser, M. Shamim, editor, Ahmed, Muhammad Raisuddin, editor, and Zhong, Ning, editor

Published
2024
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20. A BERT-Based Chatbot to Support Cancer Treatment Follow-Up

Author

Bappy, Arup Dutta, Mahmud, Tanjim, Kaiser, M. Shamim, Shahadat Hossain, Mohammad, Andersson, Karl, Ghosh, Ashish, Editorial Board Member, Zhou, Lizhu, Editorial Board Member, Mahmud, Mufti, editor, Ben-Abdallah, Hanene, editor, Kaiser, M. Shamim, editor, Ahmed, Muhammad Raisuddin, editor, and Zhong, Ning, editor

Published
2024
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21. Toward Distributed Security Based Healthcare System

Author

Sayed, Samia, Shahrear Famous, Muammar, Ahammad, Shakil, Hossain, Tanjila, Khan, Risala T., Kaiser, M. Shamim, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Kaiser, M. Shamim, editor, Singh, Raghvendra, editor, Bandyopadhyay, Anirban, editor, Mahmud, Mufti, editor, and Ray, Kanad, editor

Published
2024
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22. Exploring Open Access Cybersecurity Datasets for Machine Learning-Based Cyberattack Detection

Author

Alam, Meherun Bintey, Chowdhury, Mariam, Easha, Umma Habiba, Shamim Kaiser, M., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Kaiser, M. Shamim, editor, Singh, Raghvendra, editor, Bandyopadhyay, Anirban, editor, Mahmud, Mufti, editor, and Ray, Kanad, editor

Published
2024
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23. Towards Federated-Deep Learning-Based Glaucoma Detection from Color Fundus Images

Author

Easha, Umma Habiba, Obaydullah, M., Arif, Jayed, Shamim Kaiser, M., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Kaiser, M. Shamim, editor, Singh, Raghvendra, editor, Bandyopadhyay, Anirban, editor, Mahmud, Mufti, editor, and Ray, Kanad, editor

Published
2024
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24. Enhancing Diagnosis: An Ensemble Deep Learning Model for Brain Tumor Detection and Classification

Author

Mahmud, Tanjim, Barua, Anik, Barua, Koushick, Basnin, Nanziba, Hossain, Mohammad Shahadat, Andersson, Karl, Kaiser, M. Shamim, Hossain, Md. Sazzad, Monju, Mahabuba, Sharmen, Nahed, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Arefin, Mohammad Shamsul, editor, Kaiser, M. Shamim, editor, Bhuiyan, Touhid, editor, Dey, Nilanjan, editor, and Mahmud, Mufti, editor

Published
2024
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25. A Novel Approach to Detect Stroke from 2D Images Using Deep Learning

Author

Chowdhury, Nezat Akter, Mahmud, Tanjim, Barua, Anik, Basnin, Nanziba, Barua, Koushick, Iqbal, Aseef, Hossain, Mohammad Shahadat, Andersson, Karl, Kaiser, M. Shamim, Hossain, Md. Sazzad, Das, Sudhakar, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Arefin, Mohammad Shamsul, editor, Kaiser, M. Shamim, editor, Bhuiyan, Touhid, editor, Dey, Nilanjan, editor, and Mahmud, Mufti, editor

Published
2024
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29. Effect of Pre- and Post-processing Thermal Treatments on Mechanical Behavior of Jute-Textile Reinforced Polymer Composites

Author

Ahmed, Asif, Sharmila, Raisa, Salim Kaiser, M., Reaz Ahmed, S., Chaari, Fakher, Series Editor, Gherardini, Francesco, Series Editor, Ivanov, Vitalii, Series Editor, Haddar, Mohamed, Series Editor, Cavas-Martínez, Francisco, Editorial Board Member, di Mare, Francesca, Editorial Board Member, Kwon, Young W., Editorial Board Member, Trojanowska, Justyna, Editorial Board Member, Xu, Jinyang, Editorial Board Member, Kumari, Poonam, editor, and Dwivedy, Santosha Kumar, editor

Published
2024
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31. A Novel Approach to Detect Stroke from 2D Images Using Deep Learning

Author

Chowdhury, Nezat Akter, primary, Mahmud, Tanjim, additional, Barua, Anik, additional, Basnin, Nanziba, additional, Barua, Koushick, additional, Iqbal, Aseef, additional, Hossain, Mohammad Shahadat, additional, Andersson, Karl, additional, Kaiser, M. Shamim, additional, Hossain, Md. Sazzad, additional, and Das, Sudhakar, additional

Published
2024
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32. Your Face Mirrors Your Deepest Beliefs-Predicting Personality and Morals through Facial Emotion Recognition

Author

Gloor, P. A., Colladon, A. Fronzetti, Altuntas, E., Cetinkaya, C., Kaiser, M. F., Ripperger, L., and Schaefer, T.

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Computers and Society, Computer Science - Machine Learning, H.4.0, I.2.10, J.4
Abstract

Can we really "read the mind in the eyes"? Moreover, can AI assist us in this task? This paper answers these two questions by introducing a machine learning system that predicts personality characteristics of individuals on the basis of their face. It does so by tracking the emotional response of the individual's face through facial emotion recognition (FER) while watching a series of 15 short videos of different genres. To calibrate the system, we invited 85 people to watch the videos, while their emotional responses were analyzed through their facial expression. At the same time, these individuals also took four well-validated surveys of personality characteristics and moral values: the revised NEO FFI personality inventory, the Haidt moral foundations test, the Schwartz personal value system, and the domain-specific risk-taking scale (DOSPERT). We found that personality characteristics and moral values of an individual can be predicted through their emotional response to the videos as shown in their face, with an accuracy of up to 86% using gradient-boosted trees. We also found that different personality characteristics are better predicted by different videos, in other words, there is no single video that will provide accurate predictions for all personality characteristics, but it is the response to the mix of different videos that allows for accurate prediction.

Published
2021
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33. A Reviewer Recommender System for Scientific Articles Using a New Similarity Threshold Discovery Technique

Author

Azad, Saiful, Hoque, M. Ariful, Rimon, Nahim Ahmed, Habib, M. Mahabub Sazid, Mahmud, Mufti, Kaiser, M. Shamim, Karim, M. Rezaul, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Kaiser, M. Shamim, editor, Waheed, Sajjad, editor, Bandyopadhyay, Anirban, editor, Mahmud, Mufti, editor, and Ray, Kanad, editor

Published
2023
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34. An Efficient and Secure Data Deduplication Scheme for Cloud Assisted Storage Systems with Access Control

Author

Nahiduzzaman, Md., Kaiser, M. Shamim, Ahmed, Muhammad R., Tania, Marzia Hoque, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Kaiser, M. Shamim, editor, Waheed, Sajjad, editor, Bandyopadhyay, Anirban, editor, Mahmud, Mufti, editor, and Ray, Kanad, editor

Published
2023
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35. Low-Cost Energy Efficient Encryption Algorithm for Portable Device

Author

Alam, Abrar Fahim, Kaiser, M. Shamim, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Kaiser, M. Shamim, editor, Waheed, Sajjad, editor, Bandyopadhyay, Anirban, editor, Mahmud, Mufti, editor, and Ray, Kanad, editor

Published
2023
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38. A Scalable, Heterogeneous Hardware Platform for Accelerated AIoT based on Microservers

Author

Griessl, R., primary, Porrmann, F., additional, Kucza, N., additional, Mika, K., additional, Hagemeyer, J., additional, Kaiser, M., additional, Porrmann, M., additional, Tassemeier, M., additional, Flottmann, M., additional, Qararyah, F., additional, Waqar, M., additional, Trancoso, P., additional, Ödman, D., additional, Gugala, K., additional, and Latosinski, G., additional

Published
2023
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41. The Design, Construction, and Commissioning of the KATRIN Experiment

Author

Aker, M., Altenmüller, K., Amsbaugh, J. F., Arenz, M., Babutzka, M., Bast, J., Bauer, S., Bechtler, H., Beck, M., Beglarian, A., Behrens, J., Bender, B., Berendes, R., Berlev, A., Besserer, U., Bettin, C., Bieringer, B., Blaum, K., Block, F., Bobien, S., Bohn, J., Bokeloh, K., Bolz, H., Bornschein, B., Bornschein, L., Böttcher, M., Bouquet, H., Boyd, N. M., Brunst, T., Burritt, T. H., Caldwell, T. S., Chaoui, Z., Chilingaryan, S., Choi, W., Corona, T. J., Cox, G. A., Debowski, K., Deffert, M., Descher, M., Barrero, D. Díaz, Doe, P. J., Dragoun, O., Drexlin, G., Dunmore, J. A., Dyba, S., Edzards, F., Eichelhardt, F., Eitel, K., Ellinger, E., Engel, R., Enomoto, S., Erhard, M., Eversheim, D., Fedkevych, M., Felden, A., Fischer, S., Formaggio, J. A., Fränkle, F. M., Franklin, G. B., Frenzel, H., Friedel, F., Fulst, A., Gauda, K., Gehring, R., Gil, W., Glück, F., Görhardt, S., Grimm, J., Grohmann, S., Groh, S., Grössle, R., Gumbsheimer, R., Hackenjos, M., Häßler, D., Hannen, V., Harms, F., Harper, G. C., Hartmann, J., Haußmann, N., Heizmann, F., Helbing, K., Held, M., Hickford, S., Hilk, D., Hillen, B., Hiller, R., Hillesheimer, D., Hinz, D., Höhn, T., Holzmann, S., Horn, S., Hötzel, M., Houdy, T., Howe, M. A., Huber, A., James, T., Jansen, A., Kaiser, M., Karl, C., Kazachenko, O., Kellerer, J., Kippenbrock, L., Kleesiek, M., Kleifges, M., Kleinfeller, J., Klein, M., Köllenberger, L., Kopmann, A., Korzeczek, M., Kosmider, A., Kovalík, A., Krasch, B., Krause, H., Kraus, M., Kuckert, L., Kumb, A., Kunka, N., Lasserre, T., La Cascio, L., Lebeda, O., Leber, M. L., Lehnert, B., Leiber, B., Letnev, J., Lewis, R. J., Le, T. L., Lichter, S., Lokhov, A., Poyato, J. M. Lopez, Machatschek, M., Malcherek, E., Mark, M., Marsteller, A., Martin, E. L., Mehret, K., Meloni, M., Melzer, C., Menshikov, A., Mertens, S., Minter, L. I., Monreal, B., Mostafa, J., Müller, K., Myers, A. W., Naumann, U., Neumann, H., Niemes, S., Oelpmann, P., Off, A., Ortjohann, H. -W., Osipowicz, A., Ostrick, B., Parno, D. S., Peterson, D. A., Plischke, P., Poon, A. W. P., Prall, M., Priester, F., Ranitzsch, P. C. -O., Reich, J., Renschler, P., Rest, O., Rinderspacher, R., Robertson, R. G. H., Rodejohann, W., Rodenbeck, C., Rohr, P., Röllig, M., Röttele, C., Rupp, S., Ryšavý, M., Sack, R., Saenz, A., Sagawe, M., Schäfer, P., Schaller, A., Schimpf, L., Schlösser, K., Schlösser, M., Schlüter, L., Schneidewind, S., Schön, H., Schönung, K., Schrank, M., Schulz, B., Schwarz, J., Šefčík, M., Seitz-Moskaliuk, H., Seller, W., Sibille, V., Siegmann, D., Slezák, M., Spanier, F., Steidl, M., Sturm, M., Sun, M., Tcherniakhovski, D., Telle, H. H., Thorne, L. A., Thümmler, T., Titov, N., Tkachev, I., Trost, N., Valerius, K., VanDevender, B. A., Van Wechel, T. D., Vénos, D., Verbeek, A., Vianden, R., Hernández, A. P. Vizcaya, Vogt, K., Wall, B. L., Wandkowsky, N., Weber, M., Weingardt, H., Weinheimer, C., Weiss, C., Welte, S., Wendel, J., Wierman, K. J., Wilkerson, J. F., Wolf, J., Wüstling, S., Xu, W., Yen, Y. -R., Zacher, M., Zadoroghny, S., Zboril, M., and Zeller, G.

Subjects
Physics - Instrumentation and Detectors, High Energy Physics - Experiment
Abstract

The KArlsruhe TRItium Neutrino (KATRIN) experiment, which aims to make a direct and model-independent determination of the absolute neutrino mass scale, is a complex experiment with many components. More than 15 years ago, we published a technical design report (TDR) [https://publikationen.bibliothek.kit.edu/270060419] to describe the hardware design and requirements to achieve our sensitivity goal of 0.2 eV at 90% C.L. on the neutrino mass. Since then there has been considerable progress, culminating in the publication of first neutrino mass results with the entire beamline operating [arXiv:1909.06048]. In this paper, we document the current state of all completed beamline components (as of the first neutrino mass measurement campaign), demonstrate our ability to reliably and stably control them over long times, and present details on their respective commissioning campaigns., Comment: Added missing acknowledgement, corrected performance statement in chapter 4.2.5, updated author list and references

Published
2021
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43. Comparison Between Explainable AI Algorithms for Alzheimer’s Disease Prediction Using EfficientNet Models

Author

Jahan, Sobhana, Saif Adib, Md. Rawnak, Mahmud, Mufti, Kaiser, M. Shamim, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Liu, Feng, editor, Zhang, Yu, editor, Kuai, Hongzhi, editor, Stephen, Emily P., editor, and Wang, Hongjun, editor

Published
2023
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44. Exploring Deep Transfer Learning Ensemble for Improved Diagnosis and Classification of Alzheimer’s Disease

Author

Mahmud, Tanjim, Barua, Koushick, Barua, Anik, Das, Sudhakar, Basnin, Nanziba, Hossain, Mohammad Shahadat, Andersson, Karl, Kaiser, M. Shamim, Sharmen, Nahed, Goos, Gerhard, Founding Editor, Hartmanis, Juris, Founding Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Liu, Feng, editor, Zhang, Yu, editor, Kuai, Hongzhi, editor, Stephen, Emily P., editor, and Wang, Hongjun, editor

Published
2023
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45. An Explainable Alzheimer’s Disease Prediction Using EfficientNet-B7 Convolutional Neural Network Architecture

Author

Jahan, Sobhana, Shamim Kaiser, M., Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Hossain, Md. Sazzad, editor, Majumder, Satya Prasad, editor, Siddique, Nazmul, editor, and Hossain, Md. Shahadat, editor

Published
2023
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46. Use of Genetic Algorithm and Finite-Difference Time-Domain Calculations to Optimize 'Plasmonic' Thin-Film Solar Cell Performance

Author

Haque, Abrar Jawad, Shaky, Mustafa Mohammad, Hasan, Sabrina Nurhan, Khan, Tawseef Ahmed, Shamim Kaiser, M., Chowdhury, Mustafa Habib, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Hossain, Md. Sazzad, editor, Majumder, Satya Prasad, editor, Siddique, Nazmul, editor, and Hossain, Md. Shahadat, editor

Published
2023
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47. Deep Learning-Based Skin Disease Detection Using Convolutional Neural Networks (CNN)

Author

Sazzadul Islam Prottasha, Md., Mahjabin Farin, Sanjan, Bulbul Ahmed, Md., Zihadur Rahman, Md., Kabir Hossain, A. B. M., Shamim Kaiser, M., Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Hossain, Md. Sazzad, editor, Majumder, Satya Prasad, editor, Siddique, Nazmul, editor, and Hossain, Md. Shahadat, editor

Published
2023
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48. HealthBlock: A Secured Healthcare System Using Blockchain

Author

Rahman, Md. Mahfujur, Sifat, Md. Nur Amin, Rahman, Mostafizur, Rahman, Mushfiqur, Mamun, Shamim Al, Kaiser, M. Shamim, Angrisani, Leopoldo, Series Editor, Arteaga, Marco, Series Editor, Panigrahi, Bijaya Ketan, Series Editor, Chakraborty, Samarjit, Series Editor, Chen, Jiming, Series Editor, Chen, Shanben, Series Editor, Chen, Tan Kay, Series Editor, Dillmann, Rüdiger, Series Editor, Duan, Haibin, Series Editor, Ferrari, Gianluigi, Series Editor, Ferre, Manuel, Series Editor, Hirche, Sandra, Series Editor, Jabbari, Faryar, Series Editor, Jia, Limin, Series Editor, Kacprzyk, Janusz, Series Editor, Khamis, Alaa, Series Editor, Kroeger, Torsten, Series Editor, Li, Yong, Series Editor, Liang, Qilian, Series Editor, Martín, Ferran, Series Editor, Ming, Tan Cher, Series Editor, Minker, Wolfgang, Series Editor, Misra, Pradeep, Series Editor, Möller, Sebastian, Series Editor, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Pascucci, Federica, Series Editor, Qin, Yong, Series Editor, Seng, Gan Woon, Series Editor, Speidel, Joachim, Series Editor, Veiga, Germano, Series Editor, Wu, Haitao, Series Editor, Zamboni, Walter, Series Editor, Zhang, Junjie James, Series Editor, Hossain, Md. Sazzad, editor, Majumder, Satya Prasad, editor, Siddique, Nazmul, editor, and Hossain, Md. Shahadat, editor

Published
2023
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49. Machine Learning and Deep Learning Methods for the Detection of Schizophrenia Using Magnetic Resonance Images and EEG Signals: An Overview of the Recent Advancements

Author

Shaffi, Noushath, Mahmud, Mufti, Hajamohideen, Faizal, Subramanian, Karthikeyan, Shamim Kaiser, M., Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Joshi, Amit, editor, Mahmud, Mufti, editor, and Ragel, Roshan G., editor

Published
2023
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50. A Hybrid Approach for Stress Prediction from Heart Rate Variability

Author

Zawad, Md. Rahat Shahriar, Rony, Chowdhury Saleh Ahmed, Haque, Md. Yeaminul, Banna, Md. Hasan Al, Mahmud, Mufti, Kaiser, M. Shamim, Kacprzyk, Janusz, Series Editor, Gomide, Fernando, Advisory Editor, Kaynak, Okyay, Advisory Editor, Liu, Derong, Advisory Editor, Pedrycz, Witold, Advisory Editor, Polycarpou, Marios M., Advisory Editor, Rudas, Imre J., Advisory Editor, Wang, Jun, Advisory Editor, Mandal, Jyotsna Kumar, editor, and De, Debashis, editor

Published
2023
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