Scholarly PublicationItems where Author is "Usmani, U.A."
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Up a levelUsmani, U.A. and Happonen, A. and Watada, J. and Khakurel, J. (2023) Artificial Intelligence Applications in Healthcare. Lecture Notes in Networks and Systems, 694 LN. pp. 1085-1104. ISSN 23673370
Usmani, U.A. and Happonen, A. and Watada, J. and Khakurel, J. (2023) Artificial Intelligence Applications in Healthcare. Lecture Notes in Networks and Systems, 694 LN. pp. 1085-1104. ISSN 23673370
Usmani, U.A. and Watada, J. and Jaafar, J. and Aziz, I.A. and Roy, A. (2023) A Deep Learning Algorithm to Monitor Social Distancing in Real-Time Videos: A Covid-19 Solution. Internet of Things, Part F. pp. 73-90. ISSN 21991073
Usmani, U.A. and Happonen, A. and Watada, J. (2023) Enhancing Artificial Intelligence Control Mechanisms: Current Practices, Real Life Applications and Future Views. Lecture Notes in Networks and Systems, 559 LN. pp. 287-306. ISSN 23673370
Usmani, U.A. and Happonen, A. and Watada, J. (2023) Revolutionizing Transportation: Advancements in Robot-Assisted Mobility Systems. Lecture Notes in Networks and Systems, 754 LN. pp. 603-619. ISSN 23673370
Usmani, U.A. and Happonen, A. and Watada, J. (2023) Revolutionizing Transportation: Advancements in Robot-Assisted Mobility Systems. Lecture Notes in Networks and Systems, 754 LN. pp. 603-619. ISSN 23673370
Usmani, U.A. and Watada, J. and Jaafar, J. and Aziz, I.A. (2023) A Systematic Review of Privacy-Preserving Blockchain in e-Medicine. Studies in Computational Intelligence, 1045. pp. 25-40. ISSN 1860949X
Usmani, U.A. and Watada, J. and Jaafar, J. and Aziz, I.A. (2023) A Systematic Review of Privacy-Preserving Blockchain in e-Medicine. Studies in Computational Intelligence, 1045. pp. 25-40. ISSN 1860949X
Usmani, U.A. and Usmani, M.U. (2023) Theoretical Insights into Neural Networks and Deep Learning: Advancing Understanding, Interpretability, and Generalization. In: UNSPECIFIED.
Usmani, U.A. and Usmani, M.U. (2023) Theoretical Insights into Neural Networks and Deep Learning: Advancing Understanding, Interpretability, and Generalization. In: UNSPECIFIED.
Usmani, U.A. and Happonen, A. and Watada, J. (2022) Enhanced Deep Learning Framework for Fine-Grained Segmentation of Fashion and Apparel. Lecture Notes in Networks and Systems, 507 LN. pp. 29-44.
Usmani, U.A. and Roy, A. and Watada, J. and Jaafar, J. and Aziz, I.A. (2022) Enhanced Reinforcement Learning Model for Extraction of Objects in Complex Imaging. Lecture Notes in Networks and Systems, 283. pp. 946-964.
Usmani, U.A. and Happonen, A. and Watada, J. (2022) A Review of Unsupervised Machine Learning Frameworks for Anomaly Detection in Industrial Applications. Lecture Notes in Networks and Systems, 507 LN. pp. 158-189.
Usmani, U.A. and Watada, J. and Jaafar, J. and Aziz, I.A. and Roy, A. (2021) Particle swarm optimization with deep learning for human action recognition. International Journal of Innovative Computing, Information and Control, 17 (6). pp. 1843-1870.
Usmani, U.A. and Watada, J. and Jaafar, J. and Aziz, I.A. and Roy, A. (2021) A Reinforced Active Learning Algorithm for Semantic Segmentation in Complex Imaging. IEEE Access, 9. pp. 168415-168432.
Usmani, U.A. and Watada, J. and Jaafar, J. and Aziz, I.A. and Roy, A. (2021) A Reinforcement Learning Based Adaptive ROI Generation for Video Object Segmentation. IEEE Access, 9. pp. 161959-161977.
Happonen, A. and Tikka, M. and Usmani, U.A. (2021) A systematic review for organizing hackathons and code camps in Covid-19 like times: Literature in demand to understand online hackathons and event result continuation. In: UNSPECIFIED.