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Journal of Sensor and Actuator Networks, Volume 13, Issue 4

August 2024 - 11 articles

Cover Story: Sweat sensors integrated into textiles are one of the most innovative personalized health-monitoring technologies. They are revolutionary systems that constantly check several health factors using sweat and give a real-time evaluation of disease identification, mental health, medication consumption, and well-being. In addition to measuring essential ailments, they might act as nanogenerators to generate electricity; or, when combined with a nanogenerator, they can act as a self-powered sensor for monitoring sweat. They might modify how health is monitored since they are promising, simple, and personalized systems that help people forecast the type of healthcare they require. View this paper
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Articles (11)

  • Article
  • Open Access
2,654 Views
19 Pages

Distributed Denial of Service (DDoS) attacks disrupt service availability, leading to significant financial setbacks for individuals and businesses. This paper introduces Eye-Net, a deep learning-based system optimized for DDoS attack detection that...

  • Article
  • Open Access
27 Citations
10,200 Views
23 Pages

Harnessing remote computation power over the Internet without the need for expensive hardware and making costly services available to mass users at a marginal cost gave birth to the concept of cloud computing. This survey provides a concise overview...

  • Article
  • Open Access
9 Citations
10,896 Views
27 Pages

Smart Stick Navigation System for Visually Impaired Based on Machine Learning Algorithms Using Sensors Data

  • Sadik Kamel Gharghan,
  • Hussein S. Kamel,
  • Asaower Ahmad Marir and
  • Lina Akram Saleh

Visually Impaired People (VIP) face significant challenges in their daily lives, relying on others or trained dogs for assistance when navigating outdoors. Researchers have developed the Smart Stick (SS) system as a more effective aid than traditiona...

  • Article
  • Open Access
22 Citations
5,358 Views
19 Pages

Tool Condition Monitoring in the Milling Process Using Deep Learning and Reinforcement Learning

  • Devarajan Kaliyannan,
  • Mohanraj Thangamuthu,
  • Pavan Pradeep,
  • Sakthivel Gnansekaran,
  • Jegadeeshwaran Rakkiyannan and
  • Alokesh Pramanik

Tool condition monitoring (TCM) is crucial in the machining process to confirm product quality as well as process efficiency and minimize downtime. Traditional methods for TCM, while effective to a degree, often fall short in real-time adaptability a...

  • Article
  • Open Access
7 Citations
2,704 Views
18 Pages

The Internet of things (IoT) has recently received a great deal of attention, and there has been a large increase in the number of IoT devices owing to its significance in current communication networks. In addition, the validation of devices is an i...

  • Review
  • Open Access
24 Citations
13,850 Views
46 Pages

Recent Studies on Smart Textile-Based Wearable Sweat Sensors for Medical Monitoring: A Systematic Review

  • Asma Akter,
  • Md Mehedi Hasan Apu,
  • Yedukondala Rao Veeranki,
  • Turki Nabieh Baroud and
  • Hugo F. Posada-Quintero

Smart textile-based wearable sweat sensors have recently received a lot of attention due to their potential for use in personal medical monitoring. They have a variety of desirable qualities, including low cost, easy implementation, stretchability, f...

  • Review
  • Open Access
118 Citations
17,044 Views
26 Pages

This paper explores the potential of smart crop management based on the incorporation of tools like digital agriculture, which considers current technological tools applied in agriculture, such as the Internet of Things (IoT), remote sensing, and art...

  • Article
  • Open Access
5 Citations
1,957 Views
20 Pages

Distributed Consensus Multi-Distribution Filter for Heavy-Tailed Noise

  • Guan-Nan Chang,
  • Wen-Xing Fu,
  • Tao Cui,
  • Ling-Yun Song and
  • Peng Dong

Distributed state estimation is one of the critical technologies in the field of target tracking, where the process noise and measurement noise may have a heavy-tailed distribution. Traditionally, heavy-tailed distributions like the student-t distrib...

  • Article
  • Open Access
2 Citations
1,858 Views
19 Pages

Beta Maximum Power Extraction Operation-Based Model Predictive Current Control for Linear Induction Motors

  • Mohamed. A. Ghalib,
  • Samir A. Hamad,
  • Mahmoud F. Elmorshedy,
  • Dhafer Almakhles and
  • Hazem Hassan Ali

There is an increasing interest in achieving global climate change mitigation targets that target environmental protection. Therefore, electric vehicles (as linear metros) were developed to avoid greenhouse gas emissions, which negatively impact the...

  • Article
  • Open Access
4 Citations
2,582 Views
18 Pages

A Nature-Inspired Partial Distance-Based Clustering Algorithm

  • Mohammed El Habib Kahla,
  • Mounir Beggas,
  • Abdelkader Laouid and
  • Mohammad Hammoudeh

In the rapidly advancing landscape of digital technologies, clustering plays a critical role in the domains of artificial intelligence and big data. Clustering is essential for extracting meaningful insights and patterns from large, intricate dataset...

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J. Sens. Actuator Netw. - ISSN 2224-2708