Results 41 to 50 of about 15,702 (241)

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

open access: yesInformation
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]

open access: yesPeerJ 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   +7 more
doaj   +2 more sources

Neuromorphic Electronics for Intelligence Everywhere: Emerging Devices, Flexible Platforms, and Scalable System Architectures

open access: yesAdvanced Materials, EarlyView.
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj   +8 more
wiley   +1 more source

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

open access: yesJSiI (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   +2 more
doaj   +3 more sources

Bioinspired Adaptive Surfaces for Intelligent Liquid Manipulation: Progressing From Passive and Active to Hybrid Strategies

open access: yesAdvanced Materials, EarlyView.
This review examines passive, active, and hybrid liquid manipulation strategies, highlighting hybrid approaches as an emerging route to reconcile energy efficiency with adaptive control. By actively reconstructing passive surfaces to store programmable interfacial energy, hybrid systems enable flexible yet low‐power liquid transport, with perspectives ...
Jiaqi Miao   +3 more
wiley   +1 more source

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

open access: yesIEEE 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   +3 more
doaj   +1 more source

Gait Stride Length Estimation Using Embedded Machine Learning

open access: yesSensors, 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   +5 more
doaj   +1 more source

Intelligent Sky Guardians (InSkyGuard): An Aerial Robotic Swarm for Autonomous Detection and Entrapment of Rogue Multirotors

open access: yesAdvanced Robotics Research, EarlyView.
Intelligent Sky Guardians (InSkyGuard) is introduced as a four‐drone swarm that autonomously detects, tracks, and safely captures rogue drones using a coordinated net system. Computer vision and leader–follower control architecture enable synchronized enclosure, while integrated failsafes enhance system reliability. Validated through closed‐environment
Joshua Hastings   +6 more
wiley   +1 more source

Tiny Machine Learning (TinyML): Research trends and future application opportunities

open access: yesArray
Tiny Machine Learning (TinyML) enables artificial intelligence on low-power edge devices, yet a quantitative understanding of TinyML research remains limited.
Hui Han, Silvana Trimi, Sang M. Lee
doaj   +1 more source

Tiny Deep Learning Architectures Enabling Sensor-Near Acoustic Data Processing and Defect Localization

open access: yesComputers, 2023
The timely diagnosis of defects at their incipient stage of formation is crucial to extending the life-cycle of technical appliances. This is the case of mechanical-related stress, either due to long aging degradation processes (e.g., corrosion) or in ...
Giacomo Donati   +2 more
doaj   +1 more source

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