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crossrefSensors2025-05-13Cited by 14

Developing a Novel Adaptive Double Deep Q-Learning-Based Routing Strategy for IoT-Based Wireless Sensor Network with Federated Learning

Nalini Manogaran, Mercy Theresa Michael Raphael, Rajalakshmi Raja, Aarav Kannan Jayakumar, Malarvizhi Nandagopal, Balamurugan Balusamy, et al.

The working of the Internet of Things (IoT) ecosystem indeed depends extensively on the mechanisms of real-time data collection, sharing, and automatic operation. Among these fundamentals, wireless sensor networks (WSNs) are important for maintaining a countenance with their many…

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crossrefSensors2026-06-18

Linking Tea Aroma Chemistry to Quality Grades via a Single MOS Gas Sensor: Classical Machine Learning vs. Deep Learning

Ahmet Turan Tasdemir, Erkan Caner Ozkat, Gozde Yalcin Ozkat, Fatih Gul

Black tea quality is governed by aroma chemistry: terpene alcohols (linalool, geraniol, nerolidol), methyl salicylate, and short-chain aldehydes whose abundance and release kinetics from the polyphenol-rich leaf matrix shape perceived grade. Grade information lies not only in the…

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crossrefSensors2026-05-20

A Hybrid Deep Learning Architecture for Content Request Prediction in the Internet of Vehicles

Assem Rezki, Lyamine Guezouli, Abderrezak Benyahia, Djallel Eddine Boubiche, Mohamed Zohir Mabane, Sohaib Chine, et al.

Low-latency content delivery is essential in the Internet of Vehicles (IoV) to support autonomous driving, cooperative perception, and infotainment services. However, rapidly changing vehicular mobility and demand patterns limit the effectiveness of existing content prediction an…

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crossrefSensors2026-03-10Cited by 8

Systematic Evaluation of Machine Learning and Deep Learning Models for IoT Malware Detection Across Ransomware, Rootkit, Spyware, Trojan, Botnet, Worm, Virus, and Keylogger

Mazdak Maghanaki, Soraya Keramati, F. Frank Chen, Mohammad Shahin

The rapid growth of Internet-of-Things (IoT) deployments has substantially expanded the attack surface of modern cyber–physical systems, making accurate and computationally feasible malware detection essential for enterprise and industrial environments. This study presents a larg…

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