Results 41 to 50 of about 2,210 (159)

A Novel Active RFID and TinyML based system for livestock Localization in Pakistan

Sir Syed University Research Journal of Engineering and Technology
Localization of livestock is a vital component of good livestock management in Pakistan. This abstract describes a unique method for livestock localization in Pakistan that makes use of Active RFID technology and Tiny Machine Learning (TinyML ...
Syed Atir Raza Shirazi, Maham Fatima, Abdul Wahab, Sadaf Ali   +3 more
doaj   +1 more source

Optimization and Benchmarking of Lightweight Neural Networks for Efficient Embedded AI Deployment

Engineering Reports, Volume 8, Issue 5, May 2026.
A hardware‐aware optimization and benchmarking framework for lightweight neural networks is presented for deployment on heterogeneous embedded platforms including CPU, GPU, TPU, and MCU architectures. Model compression techniques such as quantization, pruning, knowledge distillation, and mixed‐precision computation reduce inference latency, memory ...
Vidapankal Mohammad Fridous, Abhishek Agarwal, K. B. Bhaskar, V. Nandagopal, N. Sivakamasundari   +4 more
wiley   +1 more source

Explainable AI and TinyML for Trustworthy and Efficient IoT: A Survey

IEEE Access
The convergence of Explainable Artificial Intelligence (XAI) and Tiny Machine Learning (TinyML) is emerging as a key enabler for trustworthy and efficient Internet of Things (IoT) systems.
Abdulmajid F. Al-Junaid, Manal M. Alqahtani, Mohammad H. Alhefdi   +2 more
doaj   +1 more source

Comparing training window selection methods for prediction in non‐stationary time series

British Journal of Mathematical and Statistical Psychology, Volume 79, Issue 2, Page 341-361, May 2026.
Abstract The widespread adoption of smartphones creates the possibility to passively monitor everyday behaviour via sensors. Sensor data have been linked to moment‐to‐moment psychological symptoms and mood of individuals and thus could alleviate the burden associated with repeated measurement of symptoms.
Fridtjof Petersen, Jonas M. B. Haslbeck, Jorge N. Tendeiro, Anna M. Langener, Martien J. H. Kas, Dimitris Rizopoulos, Laura F. Bringmann   +6 more
wiley   +1 more source

Machine Learning‐Assisted Infectious Disease Detection in Low‐Income Areas: Toward Rapid Triage of Dengue and Zika Virus Using Open‐Source Hardware

Advanced Intelligent Discovery, Volume 2, Issue 2, April 2026.
This study introduces an affordable machine learning platform for simultaneous dengue and zika detection using fluorine‐doped tin oxide thin films modified with gold nanoparticles and DNA aptamers. Designed for low‐cost, hardware‐limited devices (< $25), the model achieves 95.3% accuracy and uses only 9.4 kB of RAM, demonstrating viability for resource‐
Marina Ribeiro Batistuti Sawazaki, Bassam Bachour Junior, Marcelo Mulato, José Ilton de Oliveira Filho   +3 more
wiley   +1 more source

TinySV: Speaker Verification in TinyML with On-device Learning [PDF]

TinyML is a novel area of machine learning that gained huge momentum in the last few years thanks to the ability to execute machine learning algorithms on tiny devices (such as Internet-of-Things or embedded systems). Interestingly, research in this area
Roveri, Manuel, Pavan, Massimo, Mombelli, Gioele, Sinacori, Francesco   +3 more
core   +1 more source

Empowering Electrochemical Biosensors with AI: Overcoming Interference for Precise Dopamine Detection in Complex Samples

Advanced Intelligent Systems, 2023
Two significant issues in biosensors that can't be solved by conventional analytical methods are selectivity among likely biological interfering molecules and background noise in clinical samples.
José Ilton de Oliveira Filho, Murilo Calil Faleiros, Daisy Camargo Ferreira, Veerappan Mani, Khaled Nabil Salama   +4 more
doaj   +1 more source

Physical Reservoir Computing for Smart Manufacturing of PCB Using Crystallinity‐Controlled HfO2 Memristor for Reservoir

Advanced Intelligent Systems, Volume 8, Issue 4, April 2026.
We address multilayer PCB anomaly detection for smart manufacturing by physical reservoir computing with HfO2‐based memristors. Crystallinity‐tuned HfO2 suppresses ferroelectricity while preserving the high‐k insulating state and confers strong short‐term memory.
Yongho Lee, Wonhee Lee, Junho Shin, Noah Jang, Hyunjun Kim, Da Ye Kim, Jinkyung Kim, June Soo Kim   +7 more
wiley   +1 more source

Embedded low-power machine-learning on microcontrollers: systematic literature review

AiBi Revista de Investigación, Administración e Ingeniería
The increasing adoption of artificial intelligence (AI) and machine learning (ML) in engineering systems has traditionally relied on cloud-based processing and high-performance platforms, generating significant computational, energy, and infrastructure ...
Sleiter Ramos-Sanchez, Jinmi Lezama-Calvo, Ronald Paucar-Curasma   +2 more
doaj   +1 more source

An Overview of Deep Learning Techniques for Big Data IoT Applications

International Journal of Communication Systems, Volume 39, Issue 4, 10 March 2026.
Reviews deep learning integration with cloud, fog, and edge computing in IoT architectures. Examines model suitability across IoT applications, key challenges, and emerging trends Provides a comparative analysis to guide future deep learning research in IoT environments.
Gagandeep Kaur, Vipin Balyan, Sindhu Hak Gupta   +2 more
wiley   +1 more source