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235 results on '"Jamil, Faisal"'

1. A Lightweight Blockchain and Fog-enabled Secure Remote Patient Monitoring System

Author

Cheikhrouhou, Omar, Mershad, Khaleel, Jamil, Faisal, Mahmud, Redowan, Koubaa, Anis, and Moosavi, Sanaz Rahimi

Subjects
Computer Science - Cryptography and Security, Computer Science - Networking and Internet Architecture
Abstract

IoT has enabled the rapid growth of smart remote healthcare applications. These IoT-based remote healthcare applications deliver fast and preventive medical services to patients at risk or with chronic diseases. However, ensuring data security and patient privacy while exchanging sensitive medical data among medical IoT devices is still a significant concern in remote healthcare applications. Altered or corrupted medical data may cause wrong treatment and create grave health issues for patients. Moreover, current remote medical applications' efficiency and response time need to be addressed and improved. Considering the need for secure and efficient patient care, this paper proposes a lightweight Blockchain-based and Fog-enabled remote patient monitoring system that provides a high level of security and efficient response time. Simulation results and security analysis show that the proposed lightweight blockchain architecture fits the resource-constrained IoT devices well and is secure against attacks. Moreover, the augmentation of Fog computing improved the responsiveness of the remote patient monitoring system by 40%., Comment: 32 pages, 13 figures, 5 tables, accepted by Elsevier "Internet of Things; Engineering Cyber Physical Human Systems" journal on January 9, 2023

Published
2023
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2. Toward Intelligent Ethnicity Recognition and Face Anonymization: An IncepX-Ensemble Model

Author

Jamil, Faisal, Jamil, Harun, Goos, Gerhard, Series 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, Nguyen, Ngoc Thanh, editor, Franczyk, Bogdan, editor, Ludwig, André, editor, Núñez, Manuel, editor, Treur, Jan, editor, Vossen, Gottfried, editor, and Kozierkiewicz, Adrianna, editor

Published
2024
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3. Intelligent Handling of Noise in Federated Learning with Co-training for Enhanced Diagnostic Precision

Author

Babar, Farah Farid, Jamil, Faisal, Babar, Faiza Fareed, Goos, Gerhard, Series 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, Nguyen, Ngoc Thanh, editor, Franczyk, Bogdan, editor, Ludwig, André, editor, Núñez, Manuel, editor, Treur, Jan, editor, Vossen, Gottfried, editor, and Kozierkiewicz, Adrianna, editor

Published
2024
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4. Intelligent Cognitive Fusion in Human-Robot Interaction: A Autism Spectrum Disorder Case Study

Author

Alsboui, Tariq, Badawy, Abeer, Jamil, Faisal, Alqatawneh, Ibrahim, Hameed, Ibrahim A., Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, van Leeuwen, Jan, Series Editor, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Kobsa, Alfred, Series Editor, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Nierstrasz, Oscar, Series Editor, Pandu Rangan, C., Editorial Board Member, Sudan, Madhu, Series Editor, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Deshpande, R.D., Series Editor, Vardi, Moshe Y, Series Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Kurosu, Masaaki, editor, and Hashizume, Ayako, editor

Published
2024
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5. Toward Intelligent Telepresence Robotics for Enhancing Elderly Healthcare in Smart Care Home

Author

Shah, Syed Hammad Hussain, Badawy, Abeer, Jamil, Faisal, Alsboui, Tariq, Hameed, Ibrahim A., Goos, Gerhard, Series Editor, Hartmanis, Juris, Founding Editor, van Leeuwen, Jan, Series Editor, Hutchison, David, Editorial Board Member, Kanade, Takeo, Editorial Board Member, Kittler, Josef, Editorial Board Member, Kleinberg, Jon M., Editorial Board Member, Kobsa, Alfred, Series Editor, Mattern, Friedemann, Editorial Board Member, Mitchell, John C., Editorial Board Member, Naor, Moni, Editorial Board Member, Nierstrasz, Oscar, Series Editor, Pandu Rangan, C., Editorial Board Member, Sudan, Madhu, Series Editor, Terzopoulos, Demetri, Editorial Board Member, Tygar, Doug, Editorial Board Member, Deshpande, R.D., Series Editor, Vardi, Moshe Y, Series Editor, Bertino, Elisa, Editorial Board Member, Gao, Wen, Editorial Board Member, Steffen, Bernhard, Editorial Board Member, Yung, Moti, Editorial Board Member, Woeginger, Gerhard, Editorial Board Member, Kurosu, Masaaki, editor, and Hashizume, Ayako, editor

Published
2024
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7. Intelligent 3D Network Protocol for Multimedia Data Classification using Deep Learning

Author

Syed, Arslan, Aldhahri, Eman A., Iqbal, Muhammad Munawar, Ali, Abid, Muthanna, Ammar, Jamil, Harun, and Jamil, Faisal

Subjects
Computer Science - Computer Vision and Pattern Recognition, Computer Science - Artificial Intelligence, I.2.11, H.4, C.2.2
Abstract

In videos, the human's actions are of three-dimensional (3D) signals. These videos investigate the spatiotemporal knowledge of human behavior. The promising ability is investigated using 3D convolution neural networks (CNNs). The 3D CNNs have not yet achieved high output for their well-established two-dimensional (2D) equivalents in still photographs. Board 3D Convolutional Memory and Spatiotemporal fusion face training difficulty preventing 3D CNN from accomplishing remarkable evaluation. In this paper, we implement Hybrid Deep Learning Architecture that combines STIP and 3D CNN features to enhance the performance of 3D videos effectively. After implementation, the more detailed and deeper charting for training in each circle of space-time fusion. The training model further enhances the results after handling complicated evaluations of models. The video classification model is used in this implemented model. Intelligent 3D Network Protocol for Multimedia Data Classification using Deep Learning is introduced to further understand spacetime association in human endeavors. In the implementation of the result, the well-known dataset, i.e., UCF101 to, evaluates the performance of the proposed hybrid technique. The results beat the proposed hybrid technique that substantially beats the initial 3D CNNs. The results are compared with state-of-the-art frameworks from literature for action recognition on UCF101 with an accuracy of 95%., Comment: 21 pages, 10 figures

Published
2022

8. Inerter-based Elastic Metamaterials for Band Gap at Extremely Low Frequency

Author

Jamil, Faisal, Chen, Fei, Deng, Bolei, Parker, Robert G., and Wang, Pai

Subjects
Physics - Applied Physics, Condensed Matter - Other Condensed Matter
Abstract

We reveal the unique and fundamental advantage of inerter-based elastic metamaterials by a comparative study among different configurations. When the embedded inerter is connected to the matrix material on both ends, the metamaterial shows definite superiority in forming a band gap in the ultra-low frequency -- equivalently the ultra-long wavelength -- regime, where the unit cell size can be four or more orders of magnitude smaller than the operating wavelength. In addition, our parametric studies in both one and two dimensions pave the way towards designing next-generation metamaterials for structural vibration mitigation., Comment: 5 figures

Published
2022
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13. Fabrication and Structural Design of MXene-Based Hydrogels

Author

Manzoor, Asif, Jamil, Faisal, Salman, Abbas Washeel, Khalid, Farrukh Aslam, Shoukat, Umar Sohail, Iqbal, Muhammad Adnan, Husen, Azamal, Series Editor, Jawaid, Mohammad, Series Editor, Rizwan, Komal, editor, Khan, Anish, editor, and Ahmed Asiri, Abdullah Mohammed, editor

Published
2023
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19. Assessing equitable use of large language models for clinical decision support in real-world settings: fine-tuning and internal-external validation using electronic health records from South Asia

Author

Hasheminasab, Seyed Alireza, primary, Jamil, Faisal, additional, Afzal, Muhammad Usman, additional, Khan, Ali Haider, additional, Ilyas, Sehrish, additional, Noor, Ali, additional, Abbas, Salma, additional, Cheema, Hajira Nisar, additional, Shabbir, Muhammad Usman, additional, Hameed, Iqra, additional, Ayub, Maleeha, additional, Masood, Hamayal, additional, Jafar, Amina, additional, Khan, Amir Mukhtar, additional, Nazir, Muhammad Abid, additional, Jamil, Muhammad Asaad, additional, Sultan, Faisal, additional, and Khalid, Sara, additional

Published
2024
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25. Photochemical synthesis in inorganic chemistry.

Author

Kanwal, Rimsha, Al-Araji, Riyadh R., Ibrahim, Ahmad H., Iqbal, Muhammad Adnan, Bibi, Shamsa, Zafar, Adina, Yaseen, Muhammad, Shoukat, Umar Sohail, and Jamil, Faisal

Subjects
INORGANIC synthesis, INORGANIC chemistry, ARTIFICIAL photosynthesis, INORGANIC compounds, ENERGY transfer
Abstract

In the last few decades, photochemistry has great influence on all type of synthetic processes. While photochemical synthesis is emerging field in inorganic chemistry as it impart various magnificent properties to materials that are used for synthesis of nano-sized materials to giant supramolecular structures. There are many photochemical based synthetic approaches like electron, atom, energy transfer depending upon the need of product where one can switch the pathway. A variety of inorganic compounds have been synthesized like dienes, nitrides, indoles, gold nano-particles and supramolecular structures using photochemical route. Photochemical synthesis has various applications like artificial photosynthesis and fluorophores. [ABSTRACT FROM AUTHOR]

Published
2024
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33. A lightweight blockchain and fog-enabled secure remote patient monitoring system

Author

Cheikhrouhou, Omar, Mershad, Khaleel, Jamil, Faisal, Mahmud, Redowan, Koubaa, Anis, Moosavi, Sanaz Rahimi, Cheikhrouhou, Omar, Mershad, Khaleel, Jamil, Faisal, Mahmud, Redowan, Koubaa, Anis, and Moosavi, Sanaz Rahimi

Abstract

IoT has enabled the rapid growth of smart remote healthcare applications. These IoT-based remote healthcare applications deliver fast and preventive medical services to patients at risk or with chronic diseases. However, ensuring data security and patient privacy while exchanging sensitive medical data among medical IoT devices is still a significant concern in remote healthcare applications. Altered or corrupted medical data may cause wrong treatment and create grave health issues for patients. Moreover, current remote medical applications’ efficiency and response time need to be addressed and improved. Considering the need for secure and efficient patient care, this paper proposes a lightweight Blockchain-based and Fog-enabled remote patient monitoring system that provides a high level of security and efficient response time. Simulation results and security analysis show that the proposed lightweight blockchain architecture fits the resource-constrained IoT devices well and is secure against attacks. Moreover, the augmentation of Fog computing improved the responsiveness of the remote patient monitoring system by 40%.

Published
2024

34. Ruthenium complexes for breast cancer therapy.

Author

Sadique, Shaheen, Baqer, Abeer Ameen, Salman, Abbas Washeel, Iqbal, Muhammad Adnan, Kadim, Mustafa M., Jamil, Faisal, Majeed, Adnan, Manahil, Shaista, and Altaf, Areeba

Subjects
BREAST cancer, RUTHENIUM compounds, PLATINUM, TRIPLE-negative breast cancer, CANCER treatment, LIGANDS (Chemistry), ANTINEOPLASTIC agents
Abstract

Breast cancer cells have long been inhibited by polypyridine Ru(II) complexes, which are excellent antitumor agents. Due to their multi-targeting properties, this class of ruthenium complexes has received increasing attention as anticancer drug candidates approach to various cellular targets. The aim of this review is to give information about the ligands that were carefully chosen for ruthenium complexes. There has been a great deal of interest in using ruthenium-based complexes to treat breast cancer. Several species have shown potential as treatment candidates. However, further research is needed to determine how these agents affect the metastatic potential of breast cancer cells. The mechanism of action of Ru-based anticancer candidates NAMI-A and KP1019 during phase I clinical trials has been discussed. This article explains hormone-positive breast cancer and triple-negative breast-cancer treatment by using Ru complexes. Although platinum (Pt-based) anticancer medication is widely used in cancer treatment, a minor improvement has been seen and that is Platinum replaced with Ruthenium for its anticancer properties. We have also highlighted the best effective ruthenium-based complexes in treating T.N.B.C. (triple-negative breast cancer) here in this collection. [ABSTRACT FROM AUTHOR]

Published
2024
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40. Synthesis, Characterization, and Evaluation of Antifungal Activity of 1-Butyl-3-hexyl-1H-imidazol-2(3H)-selenone by Surface-Enhanced Raman Spectroscopy

Author

Huda, Noor ul, primary, Wasim, Muhammad, additional, Nawaz, Haq, additional, Majeed, Muhammad Irfan, additional, Javed, Muhammad Rizwan, additional, Rashid, Nosheen, additional, Iqbal, Muhammad Adnan, additional, Tariq, Anam, additional, Hassan, Ahmad, additional, Akram, Muhammad Waseem, additional, Jamil, Faisal, additional, and Imran, Muhammad, additional

Published
2023
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41. Ruthenium complexes for breast cancer therapy

Author

Sadique, Shaheen, primary, Baqer, Abeer Ameen, additional, Salman, Abbas Washeel, additional, Iqbal, Muhammad Adnan, additional, Kadim, Mustafa M., additional, Jamil, Faisal, additional, Majeed, Adnan, additional, Manahil, Shaista, additional, and Altaf, Areeba, additional

Published
2023
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44. Detection of different chemical moieties in aqueous media by luminescent Europium as sensor.

Author

Bashir, Komal, Jamil, Faisal, Iqbal, Muhammad Adnan, Nazir, Sadia, Shoukat, Umar Sohail, Bashir, Anam, Nasrullah, Kainat, and Rehman, Ateeq-Ur

Subjects
*MOIETIES (Chemistry), *EUROPIUM, *AQUATIC sports safety measures, *TRACE metals, *DETECTORS
Abstract

Detection of different chemical moieties especially trace metals is important for humans as well as water safety. In this review, different detectors synthesized by the combination of different ligands with luminescent europium complexes were discussed for the separation of metals and chemical moieties in aqueous media. These detectors displayed high sensitivity and selectivity. The limit-of-detection values were very low indicating that these detectors are best suitable for the sensing of chemical moieties and trace metals. These detectors' luminescent changes could be noticed with the naked eye. [ABSTRACT FROM AUTHOR]

Published
2023
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