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Machine Learning Applications in Internet-of-Drones: Systematic Review, Recent Deployments, and Open Issues
(Assoc Computing Machinery, 2023)
Deep Learning (DL) and Machine Learning (ML) are effectively utilized in various complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) has lately cropped up due to high adjustability ...
Adventures in data analysis: a systematic review of Deep Learning techniques for pattern recognition in cyber-physical-social systems
(Springer, 2023)
Machine Learning (ML) and Deep Learning (DL) have achieved high success in many textual, auditory, medical imaging, and visual recognition patterns. Concerning the importance of ML/DL in recognizing patterns due to its ...
A green, secure, and deep intelligent method for dynamic IoT-edge-cloud offloading scenarios
(Elsevier, 2023)
To fulfill people's expectations for smart and user-friendly Internet of Things (IoT) applications, the quantity of processing is fast expanding, and task latency constraints are becoming extremely rigorous. On the other ...
A new lung cancer detection method based on the chest CT images using Federated Learning and blockchain systems
(Elsevier, 2023)
With an estimated five million fatal cases each year, lung cancer is one of the significant causes of death worldwide. Lung diseases can be diagnosed with a Computed Tomography (CT) scan. The scarcity and trustworthiness ...