Results 51 to 60 of about 16,826 (269)

Analysis of Robustness and Interpretability of Multinomial Naïve Bayes and Tiny Text CNN Models for SMS Spam Detection Under Adversarial Attacks

Information
The growing complexity of unwanted messages, especially SMS spam, presents a serious challenge to the security of digital communication and user experience.
Murad A. Rassam, Redhwan Shaddad
doaj   +1 more source

Analyzing fish detection and classification in IoT-based aquatic ecosystems through deep learning [PDF]

PeerJ Computer Science
Fish, a crucial source of protein, contribute approximately 17% of the global animal protein intake. In Malaysia, the fisheries sector serves as a significant economic driver, contributing around 11.22 billion Malaysian ringgit to the nation’s GDP in ...
Mohd Izzat Mohd Rahman, Amir FakarulIsroq Abdul Razak, Anwar P. P. Abdul Majeed, Rabiu Muazu Musa, Azaini Aizat Abdul Jalil, Ismail Mohd Khairuddin, Muhammad Amirul Abdullah, Mohd Azraai Mohd Razman   +7 more
doaj   +2 more sources

Gas Leakage Detection Using Tiny Machine Learning [PDF]

Gas leakage detection is a critical concern in both industrial and residential settings, where real-time systems are essential for quickly identifying potential hazards and preventing dangerous incidents.
Talei, H., Hanae Talei, Miloud Bagaa, El Barkani, M., Bagaa, M., Nabil Benamar, Benamar, N., Majda El Barkani   +7 more
core   +1 more source

In Situ X‐Ray Tomography and Acoustic Emission Monitoring of Damage Evolution in C/C‐SiC Composites Fabricated by Liquid Silicon Infiltration

Advanced Science, EarlyView.
This study investigates how the internal structure of fiber‐reinforced ceramic composites affects their resistance to damage. By combining 3D X‐ray imaging with acoustic emission monitoring during mechanical testing, it reveals how silicon distribution influences crack formation.
Yang Chen, Renato S. M. Almeida, Stefan Flauder, Guillaume Couégnat, Kamen Tushtev, Jürgen Horvath, Peter Wriggers, Kurosch Rezwan   +7 more
wiley   +1 more source

Performance Evaluation of Lightweight Object Detection Models for Real-Time Personal Protective Equipment Detection in the Construction Sites

JSiI (Jurnal Sistem Informasi)
The environment of construction industry was known to have a high risk and high number of occupational accidents and injuries. One of the main causes of the occurrences was the construction workers' negligence in wearing personal protection equipment ...
Herman, Sandy Alferro Dion, Andik Yulianto   +2 more
doaj   +3 more sources

Recent Advances in Laser‐Induced Graphene‐Based Gas Sensors: From Sensing Mechanisms to Biomedical Applications

Advanced Science, EarlyView.
Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas, Ankan Dutta, Shuvendu Das, Abu Musa Abdullah, Wanqing Zhang, Fatema Tuz Zohra, Huanyu Cheng   +6 more
wiley   +1 more source

Optimizing Federated Learning on TinyML Devices for Privacy Protection and Energy Efficiency in IoT Networks

IEEE Access
Federated learning is presented as an effective solution to train artificial intelligence models on the Internet of Things networks without centralizing data, thus preserving privacy and minimizing security risks. However, its implementation in low-power
William Villegas-Ch, Rommel Gutierrez, Alexandra Maldonado Navarro, Aracely Mera-Navarrete   +3 more
doaj   +1 more source

Gait Stride Length Estimation Using Embedded Machine Learning

Sensors, 2023
Introduction. Spatiotemporal gait parameters, e.g., gait stride length, are measurements that are classically derived from instrumented gait analysis. Today, different solutions are available for gait assessment outside the laboratory, specifically for ...
Joeri R. Verbiest, Bruno Bonnechère, Wim Saeys, Patricia Van de Walle, Steven Truijen, Pieter Meyns   +5 more
doaj   +1 more source

Sustainable Materials Design With Multi‐Modal Artificial Intelligence

Advanced Science, EarlyView.
Critical mineral scarcity, high embodied carbon, and persistent pollution from materials processing intensify the need for sustainable materials design. This review frames the problem as multi‐objective optimization under heterogeneous, high‐dimensional evidence and highlights multi‐modal AI as an enabling pathway.
Tianyi Xu, Tianshuo Wei, Yan Ge, Bo Peng, Yue Li, Maolin Wang, Peng Wen, Chao Yang, Ye Wei   +8 more
wiley   +1 more source

A Crack‐Based One‐Dimensional Microspheres Array Enables Thermal–Mechanical Decoupled Dual‐Functional Sensing

Advanced Science, EarlyView.
Inspired by Nostoc, a crack‐based one‐dimensional microspheres array (COMA) sensor is developed, which stabilizes crack geometry under isotropic expansion, enabling a predictable, monotonic thermal response from which true strain can be accurately extracted. The COMA sensor exhibits high sensitivity at ultralow deformation (gauge factor up to 89) and a
Wanqing Xu, Hongyi Tu, Zehao Wang, Tianyu Zhu, Chao Wang, Min Chen, Lan Shi, Limin Wu   +7 more
wiley   +1 more source