Search

Your search keyword '"Prasad, Rajesh"' showing total 36 results
Start Over Author "Prasad, Rajesh" Publication Year Range This year
36 results on '"Prasad, Rajesh"'

4. Natural Language Processing for Emotion Recognition and Analysis

Author

Gavhane, Jyoti, Prasad, Rajesh, Jadhav, Asavari, Parashar, Sushil, Marques, Oge, Series Editor, Chaudhury, Baishali, Editorial Board Member, Culibrk, Dubravko, Editorial Board Member, Hadid, Abdenour, Editorial Board Member, Kitamura, Felipe, Editorial Board Member, Riegler, Michael, Editorial Board Member, Schumacher, Joe, Editorial Board Member, Soares, Anderson, Editorial Board Member, Stojanovic, Branka, Editorial Board Member, Thampi, Sabu, Editorial Board Member, Van Ooijen, Peter, Editorial Board Member, Willingham, David, Editorial Board Member, Garg, Muskan, editor, and Prasad, Rajesh Shardanand, editor

Published
2024
Full Text
View/download PDF

7. Causes of Cyber Fraud in Commercial Banks in Nigeria: A Case Study of Zenith Banks in Abuja

Author

Unwana, Ekong Eyo, Prasad, Rajesh, 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, Roy, Nihar Ranjan, editor, Tanwar, Sudeep, editor, and Batra, Usha, editor

Published
2024
Full Text
View/download PDF

8. Automatic Text Document Classification by Using Semantic Analysis and Lion Optimization Algorithm

Author

Ranjan, Nihar M., Prasad, Rajesh S., Mane, Deepak T., Angrisani, Leopoldo, Series Editor, Arteaga, Marco, 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, 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, Mukhopadhyay, Subhas, Series Editor, Ning, Cun-Zheng, Series Editor, Nishida, Toyoaki, Series Editor, Oneto, Luca, Series Editor, Panigrahi, Bijaya Ketan, 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, Tan, Kay Chen, Series Editor, Gunjan, Vinit Kumar, editor, Kumar, Amit, editor, Zurada, Jacek M., editor, and Singh, Sri Niwas, editor

Published
2024
Full Text
View/download PDF

10. Contributors

Author

Abbirooban, Subramaniam, primary, Abhilash, K., additional, Abilash, K., additional, Ahuja, Kriti, additional, Al-Abyadh, Mohammed Hasan Ali, additional, Attuluri, Vamsi Kumar, additional, Chandra, Duvvi Roopesh, additional, Choudhary, Mangi Lal, additional, Choudhury, Nabanita, additional, Doewes, Rumi Iqbal, additional, Dwivedi, Divya, additional, Gangadharan, Syam Machinathu Parambil, additional, Garg, Vivek Kumar, additional, Goel, Neelam, additional, Gupta, Umesh, additional, Hoang, Vinh Truong, additional, Indu, H., additional, Jain, Vasu, additional, Jain, Paridhi, additional, Joshi, Ruchi, additional, K.K., Swathikiran, additional, Keerthika, M., additional, Krebsz, Markus, additional, Kumar, Kukatlapalli Pradeep, additional, Kumar, Mohit, additional, Kumar, Sunil, additional, Kuralamudhu, M.K., additional, Kurdhi, Nughthoh Arfawi, additional, Maheswari, G., additional, Nuryadin, Islahuzzaman, additional, Prasad, Rajesh, additional, Prasad, Jayashree, additional, Purnama, Sapta Kunta, additional, Ranjan, Nihar, additional, Singh, Manvendra, additional, Singh, Suyesha, additional, Singh, Divya, additional, Thiruthuvanathan, Michael Moses, additional, Trivedi, Gargi, additional, and Vasanth, M. Sundararaj, additional

Published
2024
Full Text
View/download PDF

12. Breast Cancer Detection in Mammography using Faster Region Convolutional Neural Networks and Group Convolution.

Author

Sani, Zaharaddeen, Prasad, Rajesh, and Hashim, Ezzeddin Kamil Mohamed

Subjects
*CONVOLUTIONAL neural networks, *IMAGE enhancement (Imaging systems), *EARLY detection of cancer, *BREAST cancer, *DATA scrubbing, *BREAST
Abstract

Breast cancer is a prevalent and potentially life-threatening medical condition characterized by uncontrolled cell proliferation within breast tissue. This global health concern predominantly among women, although it can affect men as well. The timely and accurate detection of breast cancer is critical, as it significantly influenced treatment outcomes and survival rates. Despite advancements in human-based diagnostic methods, inherent limitations such as subjectivity, human error, and fatigue persist. To address these constraints, computer-vision-based techniques have been explored for breast cancer detection, aiming to enhance early detection, reduce diagnostic errors, and improve patient outcomes. This study advances previous approaches by integrating group convolution and the Special Euclidean motion group as a features extractor into the Faster Region Convolutional Neural Networks framework of Detectron2. This integration offers the advantage of enhancing the Convolutional Neural Network by incorporating a method to preserve invariant and equivariant features, effectively leveraging symmetries in mammography images. The INbreast dataset, comprising 410 images from 115 cases, including 90 instances with bilateral breast involvement in women, was utilized. To ensure data compatibility, DICOM to PNG and XML to JSON format conversions were performed. A data enhancement pipeline, encompassing techniques such as image cropping, truncation normalization, contrast-limited adaptive histogram equalization, and image synthesis, was employed for data preprocessing and cleaning. The proposed technique demonstrated competitive results in breast cancer detection, achieving a recall rate of 97.22. This underscores the efficacy of the integrated approach in improving diagnostic accuracy and holds promise for advancing computer-vision-based breast cancer detection methodologies. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

15. On uniqueness and Somigliana theorem for a thermoelastic theory.

Author

Ranjan, Amitabh Gyan, Kumar, Pravin, and Prasad, Rajesh

Subjects
RECIPROCITY theorems, THERMOELASTICITY, GENERALIZATION
Abstract

The main concern of the present article is based on unified generalized thermoelasticity in an isotropic and homogeneous medium. The uniqueness theorem and Betti type reciprocal principle are derived. Based on the reciprocal theorem, the generalization of the Somigliana and Green theorem is also established in the present context. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

16. FCM with Spatial Constraint Multi-Kernel Distance-Based Segmentation and Optimized Deep Learning for Flood Detection.

Author

Prasad, Rajesh S., Prasad, Jayashree Rajesh, Chaudhari, Bhushan S., Ranjan, Nihar M., and Srivastava, Rajat

Subjects
*OPTIMIZATION algorithms, *DEEP learning, *REMOTE-sensing images, *CORONAVIRUSES, *DATABASES
Abstract

Floods are the deadly and catastrophic disasters, causing loss of life and harm to assets, farmland, and infrastructure. To address this, it is necessary to devise and employ an effective flood management system that can immediately identify flood areas to initiate relief measures as soon as possible. Therefore, this research work develops an effective flood detection method, named Anti- Corona-Shuffled Shepherd Optimization Algorithm-based Deep Quantum Neural Network (ACSSOA-based Deep QNN) for identifying the flooded areas. Here, the segmentation process is performed using Fuzzy C-Means with Spatial Constraint Multi-Kernel Distance (MKFCM_S) wherein the Fuzzy C-Means (FCM) is modified with Spatial Constraints Based on Kernel-Induced Distance (KFCM_S). For flood detection, Deep QNN has been used wherein the training progression of Deep QNN is done using designed optimization algorithm, called ACSSOA. Besides, the designed ACSSOA is newly formed by the hybridization of Anti Corona Virus Optimization (ACVO) and Shuffled Shepherd Optimization Algorithm (SSOA). The devised method was evaluated using the Kerala Floods database, and it acquires the segmentation accuracy, testing accuracy, sensitivity, and specificity with highest values of 0.904, 0.914, 0.927, and 0.920, respectively. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

19. How can machine learning predict cholera: insights from experiments and design science for action research.

Author

Amshi, Hauwa Ahmad, Prasad, Rajesh, Sharma, Birendra Kumar, Yusuf, Saratu Ilu, and Sani, Zaharaddeen

Subjects
*CHOLERA, *MACHINE learning, *DESIGN science, *SCIENTIFIC experimentation, *ACTION research, *EXPERIMENTAL design
Abstract

Cholera is a leading cause of mortality in Nigeria. The two most significant predictors of cholera are a lack of access to clean water and poor sanitary conditions. Other factors such as natural disasters, illiteracy, and internal conflicts that drive people to seek sanctuary in refugee camps may contribute to the spread of cholera in Nigeria. The aim of this research is to develop a cholera outbreak risk prediction (CORP) model using machine learning tools and data science. In this study, we developed a CORP model using design science perspectives and machine learning to detect cholera outbreaks in Nigeria. Nonnegative matrix factorization (NMF) was used for dimensionality reduction, and synthetic minority oversampling technique (SMOTE) was used for data balancing. Outliers were detected using density-based spatial clustering of applications with noise (DBSCAN) were removed improving the overall performance of the model, and the extreme-gradient boost algorithm was used for prediction. The findings revealed that the CORP model outcomes resulted in the best accuracy of 99.62%, Matthews's correlation coefficient of 0.976, and area under the curve of 99.2%, which were improved compared with the previous findings. The developed model can be helpful to healthcare providers in predicting possible cholera outbreaks. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

21. Enhancing Cyber Threat Detection with an Improved Artificial Neural Network Model

Author

Oyinloye, Toluwase Sunday, Arowolo, Micheal Olaolu, and Prasad, Rajesh

Abstract

Identifying cyber-attacks that attempt to compromise digital systems is a critical function of intrusion detection systems (IDS). Data labeling difficulties, incorrect conclusions, and vulnerability to malicious data injections are only a few drawbacks of using machine learning algorithms for cybersecurity. To overcome these obstacles, researchers have created several network IDS models, such as the Hidden Naive Bayes Multiclass Classifier and supervised/unsupervised machine learning techniques. This study provides an updated learning strategy for artificial neural network (ANN) to address data categorization problems caused by unbalanced data. Compared to traditional approaches, the augmented ANN’s 92% accuracy is a significant improvement owing to the network’s increased resilience to disturbances and computational complexity, brought about by the addition of a random weight and standard scaler. Considering the ever-evolving nature of cybersecurity threats, this study introduces a revolutionary intrusion detection method.

Published
2024
Full Text
View/download PDF

22. Exploring the Ethical Dimensions and Societal Consequences of Affective Computing

Author

Mishra, Deepa, Deshpande, Sonali, Anna, Mallikarjuna Gupta, Tiwari, Anupriya, Marques, Oge, Series Editor, Chaudhury, Baishali, Editorial Board Member, Culibrk, Dubravko, Editorial Board Member, Hadid, Abdenour, Editorial Board Member, Kitamura, Felipe, Editorial Board Member, Riegler, Michael, Editorial Board Member, Schumacher, Joe, Editorial Board Member, Soares, Anderson, Editorial Board Member, Stojanovic, Branka, Editorial Board Member, Thampi, Sabu, Editorial Board Member, Van Ooijen, Peter, Editorial Board Member, Willingham, David, Editorial Board Member, Garg, Muskan, editor, and Prasad, Rajesh Shardanand, editor

Published
2024
Full Text
View/download PDF

23. Visual Emotion Recognition Through Affective Computing

Author

Praneesh, M., Marques, Oge, Series Editor, Chaudhury, Baishali, Editorial Board Member, Culibrk, Dubravko, Editorial Board Member, Hadid, Abdenour, Editorial Board Member, Kitamura, Felipe, Editorial Board Member, Riegler, Michael, Editorial Board Member, Schumacher, Joe, Editorial Board Member, Soares, Anderson, Editorial Board Member, Stojanovic, Branka, Editorial Board Member, Thampi, Sabu, Editorial Board Member, Van Ooijen, Peter, Editorial Board Member, Willingham, David, Editorial Board Member, Garg, Muskan, editor, and Prasad, Rajesh Shardanand, editor

Published
2024
Full Text
View/download PDF

24. Affective Computing for Health Management via Recommender Systems: Exploring Challenges and Opportunities

Author

Sneha, Raza, Shaina, Marques, Oge, Series Editor, Chaudhury, Baishali, Editorial Board Member, Culibrk, Dubravko, Editorial Board Member, Hadid, Abdenour, Editorial Board Member, Kitamura, Felipe, Editorial Board Member, Riegler, Michael, Editorial Board Member, Schumacher, Joe, Editorial Board Member, Soares, Anderson, Editorial Board Member, Stojanovic, Branka, Editorial Board Member, Thampi, Sabu, Editorial Board Member, Van Ooijen, Peter, Editorial Board Member, Willingham, David, Editorial Board Member, Garg, Muskan, editor, and Prasad, Rajesh Shardanand, editor

Published
2024
Full Text
View/download PDF

25. From Data to Emotions: Affective Computing in Voice Emotion Detection

Author

Singh, Richa, Srivastava, Nidhi, Marques, Oge, Series Editor, Chaudhury, Baishali, Editorial Board Member, Culibrk, Dubravko, Editorial Board Member, Hadid, Abdenour, Editorial Board Member, Kitamura, Felipe, Editorial Board Member, Riegler, Michael, Editorial Board Member, Schumacher, Joe, Editorial Board Member, Soares, Anderson, Editorial Board Member, Stojanovic, Branka, Editorial Board Member, Thampi, Sabu, Editorial Board Member, Van Ooijen, Peter, Editorial Board Member, Willingham, David, Editorial Board Member, Garg, Muskan, editor, and Prasad, Rajesh Shardanand, editor

Published
2024
Full Text
View/download PDF

26. The Synergy of Clinical Psychology and Affective Computing: Advancements in Emotion Recognition and Therapy

Author

Joshi, Ruchi, Jadeja, Mahipal, Marques, Oge, Series Editor, Chaudhury, Baishali, Editorial Board Member, Culibrk, Dubravko, Editorial Board Member, Hadid, Abdenour, Editorial Board Member, Kitamura, Felipe, Editorial Board Member, Riegler, Michael, Editorial Board Member, Schumacher, Joe, Editorial Board Member, Soares, Anderson, Editorial Board Member, Stojanovic, Branka, Editorial Board Member, Thampi, Sabu, Editorial Board Member, Van Ooijen, Peter, Editorial Board Member, Willingham, David, Editorial Board Member, Garg, Muskan, editor, and Prasad, Rajesh Shardanand, editor

Published
2024
Full Text
View/download PDF

27. The Role of Affective Computing in Social Justice: Harnessing Equity and Inclusion

Author

Chaube, Neha, Kerketta, Reetika, Sharma, Samta, Shinde, Anand, Marques, Oge, Series Editor, Chaudhury, Baishali, Editorial Board Member, Culibrk, Dubravko, Editorial Board Member, Hadid, Abdenour, Editorial Board Member, Kitamura, Felipe, Editorial Board Member, Riegler, Michael, Editorial Board Member, Schumacher, Joe, Editorial Board Member, Soares, Anderson, Editorial Board Member, Stojanovic, Branka, Editorial Board Member, Thampi, Sabu, Editorial Board Member, Van Ooijen, Peter, Editorial Board Member, Willingham, David, Editorial Board Member, Garg, Muskan, editor, and Prasad, Rajesh Shardanand, editor

Published
2024
Full Text
View/download PDF

28. The Science of Emotion: Decoding and Analysis of Human Emotional Landscape

Author

Marruthachalam, Rithanyavarshikaa, Amudha, P., Sivakumari, S., Marques, Oge, Series Editor, Chaudhury, Baishali, Editorial Board Member, Culibrk, Dubravko, Editorial Board Member, Hadid, Abdenour, Editorial Board Member, Kitamura, Felipe, Editorial Board Member, Riegler, Michael, Editorial Board Member, Schumacher, Joe, Editorial Board Member, Soares, Anderson, Editorial Board Member, Stojanovic, Branka, Editorial Board Member, Thampi, Sabu, Editorial Board Member, Van Ooijen, Peter, Editorial Board Member, Willingham, David, Editorial Board Member, Garg, Muskan, editor, and Prasad, Rajesh Shardanand, editor

Published
2024
Full Text
View/download PDF

29. Affective Computing in Mood Disorders: Beyond Conventional Diagnostic Tools to Modern Technologies

Author

Sinha, Nidhi, Srivastava, Priyanka, Ganesh, M. P., Marques, Oge, Series Editor, Chaudhury, Baishali, Editorial Board Member, Culibrk, Dubravko, Editorial Board Member, Hadid, Abdenour, Editorial Board Member, Kitamura, Felipe, Editorial Board Member, Riegler, Michael, Editorial Board Member, Schumacher, Joe, Editorial Board Member, Soares, Anderson, Editorial Board Member, Stojanovic, Branka, Editorial Board Member, Thampi, Sabu, Editorial Board Member, Van Ooijen, Peter, Editorial Board Member, Willingham, David, Editorial Board Member, Garg, Muskan, editor, and Prasad, Rajesh Shardanand, editor

Published
2024
Full Text
View/download PDF

30. The Horizon of Consciousness for Affective Computing: Future Trends and Possibilities

Author

Garg, Muskan, Marques, Oge, Series Editor, Chaudhury, Baishali, Editorial Board Member, Culibrk, Dubravko, Editorial Board Member, Hadid, Abdenour, Editorial Board Member, Kitamura, Felipe, Editorial Board Member, Riegler, Michael, Editorial Board Member, Schumacher, Joe, Editorial Board Member, Soares, Anderson, Editorial Board Member, Stojanovic, Branka, Editorial Board Member, Thampi, Sabu, Editorial Board Member, Van Ooijen, Peter, Editorial Board Member, Willingham, David, Editorial Board Member, Garg, Muskan, editor, and Prasad, Rajesh Shardanand, editor

Published
2024
Full Text
View/download PDF

31. Enhancing Affective Computing in NLP Through Data Augmentation: Strategies for Overcoming Limited Data Availability

Author

Ansari, Gunjan, Saxena, Chandni, Marques, Oge, Series Editor, Chaudhury, Baishali, Editorial Board Member, Culibrk, Dubravko, Editorial Board Member, Hadid, Abdenour, Editorial Board Member, Kitamura, Felipe, Editorial Board Member, Riegler, Michael, Editorial Board Member, Schumacher, Joe, Editorial Board Member, Soares, Anderson, Editorial Board Member, Stojanovic, Branka, Editorial Board Member, Thampi, Sabu, Editorial Board Member, Van Ooijen, Peter, Editorial Board Member, Willingham, David, Editorial Board Member, Garg, Muskan, editor, and Prasad, Rajesh Shardanand, editor

Published
2024
Full Text
View/download PDF

32. Advancements in Multimodal Emotion Recognition: Integrating Facial Expressions and Physiological Signals

Author

Vairamani, Ajantha Devi, Marques, Oge, Series Editor, Chaudhury, Baishali, Editorial Board Member, Culibrk, Dubravko, Editorial Board Member, Hadid, Abdenour, Editorial Board Member, Kitamura, Felipe, Editorial Board Member, Riegler, Michael, Editorial Board Member, Schumacher, Joe, Editorial Board Member, Soares, Anderson, Editorial Board Member, Stojanovic, Branka, Editorial Board Member, Thampi, Sabu, Editorial Board Member, Van Ooijen, Peter, Editorial Board Member, Willingham, David, Editorial Board Member, Garg, Muskan, editor, and Prasad, Rajesh Shardanand, editor

Published
2024
Full Text
View/download PDF

33. Ethical Considerations in Affective Computing

Author

Saxena, Chandni, Marques, Oge, Series Editor, Chaudhury, Baishali, Editorial Board Member, Culibrk, Dubravko, Editorial Board Member, Hadid, Abdenour, Editorial Board Member, Kitamura, Felipe, Editorial Board Member, Riegler, Michael, Editorial Board Member, Schumacher, Joe, Editorial Board Member, Soares, Anderson, Editorial Board Member, Stojanovic, Branka, Editorial Board Member, Thampi, Sabu, Editorial Board Member, Van Ooijen, Peter, Editorial Board Member, Willingham, David, Editorial Board Member, Garg, Muskan, editor, and Prasad, Rajesh Shardanand, editor

Published
2024
Full Text
View/download PDF

34. Personalized Well-Being Interventions (PWIs): A New Frontier in Mental Health

Author

Lokhande, Harshad, Garware, Chaitanya, Kudale, Trupti, Kumar, Rajeev, Marques, Oge, Series Editor, Chaudhury, Baishali, Editorial Board Member, Culibrk, Dubravko, Editorial Board Member, Hadid, Abdenour, Editorial Board Member, Kitamura, Felipe, Editorial Board Member, Riegler, Michael, Editorial Board Member, Schumacher, Joe, Editorial Board Member, Soares, Anderson, Editorial Board Member, Stojanovic, Branka, Editorial Board Member, Thampi, Sabu, Editorial Board Member, Van Ooijen, Peter, Editorial Board Member, Willingham, David, Editorial Board Member, Garg, Muskan, editor, and Prasad, Rajesh Shardanand, editor

Published
2024
Full Text
View/download PDF

35. Analysis of the crack problem under unified generalized thermoelasticity.

Author

Ranjan, Amitabh Gyan, Kumar, Sudesh, Kumar, Pravin, and Prasad, Rajesh

Abstract

AbstractThe present article aims to manifest a two-dimensional dynamical problem based on a unified way of dual-phase lags generalized thermoelasticity. The problem deals with finite mode-I crack due to tensile force in an unbounded linear thermoelastic space under a specified stress distribution and temperature. Here the governing equations are constructed for a homogenous and isotropic medium. Boundary conditions convert the problem into four dual integral equations, whose solution corresponds to the solution of Fredholm’s integral equation of first order. The integral transform methods are applied to obtain the solution to a problem. An inversion of the Laplace transform using the Bellman method is applied to determine the numerical value of the components of temperature, stress, and displacement for copper material, which are interpreted graphically. Moreover, the stress intensity factor (SIF) near the crack center is calculated and shown graphically. [ABSTRACT FROM AUTHOR]

Published
2024
Full Text
View/download PDF

36. How can machine learning predict cholera: insights from experiments and design science for action research.

Author

Ahmad Amshi H, Prasad R, Sharma BK, Yusuf SI, and Sani Z

Subjects
Humans, Machine Learning, Disease Outbreaks, Algorithms, Health Services Research, Cholera epidemiology
Abstract

Cholera is a leading cause of mortality in Nigeria. The two most significant predictors of cholera are a lack of access to clean water and poor sanitary conditions. Other factors such as natural disasters, illiteracy, and internal conflicts that drive people to seek sanctuary in refugee camps may contribute to the spread of cholera in Nigeria. The aim of this research is to develop a cholera outbreak risk prediction (CORP) model using machine learning tools and data science. In this study, we developed a CORP model using design science perspectives and machine learning to detect cholera outbreaks in Nigeria. Nonnegative matrix factorization (NMF) was used for dimensionality reduction, and synthetic minority oversampling technique (SMOTE) was used for data balancing. Outliers were detected using density-based spatial clustering of applications with noise (DBSCAN) were removed improving the overall performance of the model, and the extreme-gradient boost algorithm was used for prediction. The findings revealed that the CORP model outcomes resulted in the best accuracy of 99.62%, Matthews's correlation coefficient of 0.976, and area under the curve of 99.2%, which were improved compared with the previous findings. The developed model can be helpful to healthcare providers in predicting possible cholera outbreaks.

Published
2024
Full Text
View/download PDF

Catalog

Books, media, physical & digital resources
See catalog results