Results 81 to 90 of about 2,597 (210)

From Detection to Countermeasure: A Review of Key Technologies in Counter‐Unmanned Aerial Vehicle Systems

IET Cyber-Systems and Robotics, Volume 8, Issue 1, January/December 2026.
ABSTRACT With the rapid proliferation of unmanned aerial vehicles (UAVs) in the military, logistics and public safety sectors, the threat of illegal intrusion, information theft, and security breaches has increased. This paper provides a comprehensive review of recent developments in counter‐unmanned aerial vehicle (counter‐UAV) systems, focussing on ...
Lei Xing, Can Cui, Miao Wang, Chao Xu
wiley   +1 more source

Advancing Efficiency in PVT Solar Technology by Leveraging Artificial Intelligence in Intelligent Thermal Management

IET Renewable Power Generation, Volume 20, Issue 1, January/December 2026.
This review examines the use of Artificial Intelligence (AI) for thermal management in Photovoltaic‐Thermal (PVT) systems, addressing how elevated temperatures limit their overall solar efficiency. The paper critically analyses AI strategies against conventional methods, identifying research gaps and proposing future directions like hybrid physics‐AI ...
Mohammad Albarahati, Nan Zhao, Hassan A. Shafei, George Aggidis   +3 more
wiley   +1 more source

A Joint Survey in Decentralized Federated Learning and TinyML: A Brief Introduction to Swarm Learning

Future Internet
TinyML/DL is a new subfield of ML that allows for the deployment of ML algorithms on low-power devices to process their own data. The lack of resources restricts the aforementioned devices to running only inference tasks (static TinyML), while training ...
Evangelia Fragkou, Dimitrios Katsaros
doaj   +1 more source

Efficient Neural Networks for Tiny Machine Learning: A Comprehensive Review

, 2023
The field of Tiny Machine Learning (TinyML) has gained significant attention due to its potential to enable intelligent applications on resource-constrained devices.
Arbel, Julyan, Lê, Minh Tri, Wolinski, Pierre   +2 more
core  

IoT Enabled Smart Poultry Farming System With Deep Learning for Chicken Health Detection in Real‐Time

Journal of Sensors, Volume 2026, Issue 1, 2026.
Poultry farming is a critical sector for food security and rural livelihoods, yet traditional practices remain highly labor‐intensive and vulnerable to environmental stressors and disease outbreaks. This project presents the design and implementation of a Smart Poultry Farm system that integrates Internet of Things (IoT)‐based automation with deep ...
Shahbaj Ahmed Sakib, Md Mursalin Hossain Misat, Tanjum Rahi Akanto, Jahedul Islam, Fahmida Ahmed Antara, Deepali   +5 more
wiley   +1 more source

A Review on Resource-Constrained Embedded Vision Systems-Based Tiny Machine Learning for Robotic Applications

Algorithms
The evolution of low-cost embedded systems is growing exponentially; likewise, their use in robotics applications aims to achieve critical task execution by implementing sophisticated control and computer vision algorithms. We review the state-of-the-art
Miguel Beltrán-Escobar, Teresa E. Alarcón, Jesse Y. Rumbo-Morales, Sonia López, Gerardo Ortiz-Torres, Felipe D. J. Sorcia-Vázquez   +5 more
doaj   +1 more source

Improved Decision Module Selection for Hierarchical Inference in Resource-Constrained Edge Devices [PDF]

, 2023
The Hierarchical Inference (HI) paradigm has recently emerged as an effective method for balancing inference accuracy, data processing, transmission throughput, and offloading cost.
Behera, Adarsh Prasad, Champati, Jaya Prakash, Morabito, Roberto, Widmer, Joerg   +3 more
core  

Bio‐Nano Sensor‐Centric Lightweight AI for Real‐Time Anomaly Detection Under 6G Edge Architectures

Journal of Sensors, Volume 2026, Issue 1, 2026.
By enabling the detection of molecular, biochemical, and physiological signals at micro‐ and nano‐scales, bio‐nano sensor networks (BNSNs) have emerged as a transformative sensing paradigm for environmental surveillance, biomedical monitoring, and healthcare.
Ayesha Siddika Mourin, Pramita Mishra
wiley   +1 more source

TinyML-Based Swine Vocalization Pattern Recognition for Enhancing Animal Welfare in Embedded Systems

Inventions
The automatic recognition of animal vocalizations is a valuable tool for monitoring pigs’ behavior, health, and welfare. This study investigates the feasibility of implementing a convolutional neural network (CNN) model for classifying pig vocalizations ...
Tung Chiun Wen, Caroline Ferreira Freire, Luana Maria Benicio, Giselle Borges de Moura, Magno do Nascimento Amorim, Késia Oliveira da Silva-Miranda   +5 more
doaj   +1 more source

High Accuracy of Epileptic Seizure Detection Using Tiny Machine Learning Technology for Implantable Closed-Loop Neurostimulation Systems

BioMedInformatics
Background: Epilepsy is one of the most common and devastating neurological disorders, manifesting with seizures and affecting approximately 1–2% of the world’s population.
Evangelia Tsakanika, Vasileios Tsoukas, Athanasios Kakarountas, Vasileios Kokkinos   +3 more
doaj   +1 more source