Enhancing Coverage and Efficiency in Wireless Sensor Networks: A Review of Optimization Techniques by Rajasekaran S, Shaik Mastan Vali

“…Wireless Sensor Networks (WSNs) are vital for applications such as environmental monitoring, surveillance, and healthcare, where comprehensive network coverage is essential for accurate data collection. …”
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Integrated Sensor System for Real-Time Monitoring and Detection of Fish Quality and Spoilage by Binson V. A., Sania Thomas

“…In this research, we present an innovative approach utilizing a sensor array consisting of MQ137, MQ135, MQ3, MQ9, TGS 2610, TGS 2620, TGS 2600, and TGS 822 sensors. …”
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Signal Detection by Sensors and Determination of Friction Coefficient During Brake Lining Movement by Leopold Hrabovský, Vieroslav Molnár, Gabriel Fedorko, Nikoleta Mikusova, Jan Blata, Jiří Fries, Tomasz Jachowicz

“…This article presents a laboratory device by which the course of two signals can be detected using two types of sensors—strain gauges and the DEWESoft DS-NET measuring apparatus. …”
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Direct-Sequence-CDMA in Highly Sensitive Indirect Time-of-Flight Distance Sensor by Fabio Schartmuller, Michael Hauser, Alexander Kuttner, Horst Zimmermann, Michael Hofbauer

“…A theoretical model of the generalized sensor system, possibly suffering from multi-path propagation, is devised for the general application of DS-CDMA. …”
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An efficient neural network LEACH protocol to extended lifetime of wireless sensor networks by Hamdy H. El-Sayed, Elham M. Abd-Elgaber, E. A. Zanaty, Faisal S. Alsubaei, Abdulaleem Ali Almazroi, Samy S. Bakheet

“…Abstract This paper presents NN_ILEACH, a novel neural network-based routing protocol designed to enhance the energy efficiency and longevity of Wireless Sensor Networks (WSNs). …”
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A Disposable Dopamine Sensor Based on Oxidized Cellulose Nanofibril-Modified SPCE by Feriel Boussema, Sondes Bourigua, Zayneb Jebali, Hatem Majdoub, Nicole Jaffrezic-Renault, Hamdi Ben Halima

“…The prepared disposable sensor showed satisfactory recovery of dopamine in human urine samples.…”
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Intelligent Eye Tracker Integrated with Cylindrical Capacitive Sensors for Chronic Fatigue Assessment by Tianyi Li, Seo‐Hyun Park, Changwoo Lee, Shawn Kim, Younghoon Kwon, Hojun Kim, Jae‐Hyun Chung

“…To address these challenges, this study presents a capacitive sensor‐based eye tracker (ET) leveraging cylindrical carbon nanotube‐paper composite (CCPC) sensors for chronic fatigue (CF) assessment. …”
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Mobile Robot Navigation with Enhanced 2D Mapping and Multi-Sensor Fusion by Basheer Al-Tawil, Adem Candemir, Magnus Jung, Ayoub Al-Hamadi

“…This paper presents an enhanced Simultaneous Localization and Mapping (SLAM) framework for mobile robot navigation. …”
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Robust Distributed Observers for Simultaneous State and Fault Estimation over Sensor Networks by Dingguo Liang, Yunxiao Ren, Yuezu Lv, Silong Wang

“…This paper focuses on simultaneous estimation of states and faults for a linear time-invariant (LTI) system observed by sensor networks. Each sensor node is equipped with an observer, which uses only local measurements and local interaction with neighbors for monitoring. …”
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An open source simulator for prism sensors based on lossy mode resonance effect by Adeilson de Sousa Leal, Isa Cristina Gonçalves de Paiva, Eloise dos Passos Rodrigues, Helder Alves Pereira

“…The sensors based on LMR effect have large number of applications on detection of physical, chemical and biological parameters. …”
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AUV Trajectory Planning for Optimized Sensor Data Collection in Internet of Underwater Things by Talal S. Almuzaini, Andrey V. Savkin

“…Efficient and timely data collection in Underwater Acoustic Sensor Networks (UASNs) for Internet of Underwater Things (IoUT) applications remains a significant challenge due to the inherent limitations of the underwater environment. …”
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A Case Study on the Power-Aware Protocol Framework for Wireless Sensor Networks by Pedro Díaz, Fernando Royo, Teresa Olivares, Fernando Ramirez-Mireles, Luis Orozco-Barbosa

“…The proliferation of wireless sensor networks is one of the main hardware components enabling the creation of the Internet of Things. …”
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Semi-Supervised Learned Autoencoder for Classification of Events in Distributed Fibre Acoustic Sensors by Artem Kozmin, Oleg Kalashev, Alexey Chernenko, Alexey Redyuk

“…The global market for infrastructure security systems based on distributed acoustic sensors is rapidly expanding, driven by the need for timely detection and prevention of potential threats. …”
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Adoption of drone, sensor, and robotic technologies in organic farming systems of Visegrad countries by Bojana Petrovic, Yevhen Kononets, László Csambalik

“…Key technologies examined include drones, sensors, and robots used in organic crop and livestock production. …”
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Normal-Only Anomaly Detection in Environmental Sensors in CPS: A Comprehensive Review by Yaa Takyiwaa Acquaah, Roy Kaushik

“…Anomaly detection is crucial for maintaining the reliability and security of environmental sensors in Cyber-Physical Systems (CPS). This paper presents a comprehensive review that examines the field of anomaly detection using only normal data (normal-only anomaly detection) within environmental sensor networks of CPS, covering literature from the past ten years. …”
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Failure Detection in Sensors via Variational Autoencoders and Image-Based Feature Representation by Luis Miguel Moreno Haro, Adaiton Oliveira-Filho, Bruno Agard, Antoine Tahan

“…This paper presents a novel approach for detecting sensor failures using image-based feature representation and the Convolutional Variational Autoencoder (CVAE) model. …”
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Extracting Target Detection Knowledge Based on Spatiotemporal Information in Wireless Sensor Networks by Tian Wang, Zhen Peng, Cheng Wang, Yiqiao Cai, Yonghong Chen, Hui Tian, Junbin Liang, Bineng Zhong

“…Wireless sensor networks (WSNs) have been deployed for many applications of target detection, such as intrusion detection and wildlife protection. …”
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Exploration of physiological sensors, features, and machine learning models for pain intensity estimation. by Fatemeh Pouromran, Srinivasan Radhakrishnan, Sagar Kamarthi

“…This subjective pain assessment results in suboptimal treatment plans, over-prescription of opioids, and drug-seeking behavior among patients. In the present study, we explored automatic objective pain intensity estimation machine learning models using inputs from physiological sensors. …”
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An adaptive hexagonal deployment model for resilient wireless sensor networks in precision agriculture by Zhang Yinjun

“…Abstract This study presents an innovative hexagonal deployment model designed specifically for wireless sensor networks (WSNs) with a primary application in precision agriculture. …”
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Context-Aware Scheduling of Distributed DL-Reasoning Tasks in Wireless Sensor Networks by Stijn Verstichel, Bruno Volckaert, Bart Dhoedt, Piet Demeester, Filip De Turck

“…Therefore, a balance has to be found between local processing and transmission towards the more powerful nodes. In this paper, we present our collaboration platform to bring together wireless sensor networks and distributed ontology A-Box reasoning. …”
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