Large-Area Saline-Alkali-Tolerant Rice Growth Environment Monitoring System Based on LoRa+UAV by Chunmei Mo, Zaimi Xie, Ji Wang

“…A wireless sensor network (WSN) monitoring system for saline-alkali-tolerant rice based on long-range + unmanned aerial vehicle (LoRa + UAV) has been proposed in this paper to meet the requirements of difficult deployment, low scalability, and poor network reliability of traditional farmland environmental monitoring systems. …”
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The Study of Cooperative Obstacle Avoidance Method for MWSN Based on Flocking Control by Zuo Chen, Lei Ding, Kai Chen, Renfa Li

“…Compared with the space fixed feature of traditional wireless sensor network (WSN), mobile WSN has better robustness and adaptability in unknown environment, so that it is always applied in the research of target tracking. …”
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Heterogeneous sensor-based rotor attitude detection for a spherical motor using distributed Kalman filtering method by Sili Zhou, Guoli Li, Qunjing Wang, Jiahu Guo, Yuanyuan Jiang, Jiazi Xu

“…On the basis of this, the heterogeneous sensor network consists of the camera and the MEMS sensor, and the proposed RAD approach is implemented through the Kalman filtering fusing method. …”
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Magnetic Source Detection Using an Array of Planar Hall Effect Sensors and Machine Learning Algorithms by Miki Vizel, Roger Alimi, Daniel Lahav, Moty Schultz, Asaf Grosz, Lior Klein

“…While LMA provided reasonable results, its reliance on a sparse sensor network and initial guesses for variables limited its accuracy. …”
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An Improved Fast Flocking Algorithm with Obstacle Avoidance for Multiagent Dynamic Systems by Jialiang Wang, Hai Zhao, Yuanguo Bi, Shiliang Shao, Qian Liu, Xingchi Chen, Ruofan Zeng, Yu Wang, Le Ha

“…Compared with other technologies to perform the localization of quad-rotor helicopter, this paper innovatively constructs a smart environment by deploying some wireless sensor network (WSN) nodes using the proposed localization algorithm. …”
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A Novel Active Vibration Control Method for Helicopter Fuselages Based on Diffusion Cooperation by Jingliang Li, Yang Lu

“…The diffusion cooperative strategy is widely used in complex wireless sensor network (WSN) systems to efficiently reduce the computation amount during data aggregation. …”
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Maximizing Electric Power Recovery through Advanced Compensation with MPPT Algorithms by Souad Touairi, Mustapha Zekraoui, Mustapha Mabrouki

“…The utilization of Harris Hawks optimization (HHO) and the generation of quadrants in the four-quadrant operation mode of DC motors in the wireless sensor network (RCSFs) have been significantly enhanced in this study. …”
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A Smart Machine Learning Model for the Detection of Brain Hemorrhage Diagnosis Based Internet of Things in Smart Cities by Hang Chen, Sulaiman Khan, Bo Kou, Shah Nazir, Wei Liu, Anwar Hussain

“…This evolutionary field is mainly lead by wireless sensor network, radio frequency identification, and smart mobile technologies. …”
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Children Tracking System Based on ZigBee Wireless Network and Neural Network by Nadia Ahmed, Sadik Kamel Gharghan, Ammar Hussein Mutlag, M. G. M. Abdolrasol

“…This paper proposes an indoor localization system based on ZigBee wireless sensor network (WSN) and Backpropagation Artificial Neural Network (BP-ANN) to locate the child in an indoor environment. …”
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Outage and Throughput Analysis of Cooperative Non-Orthogonal Multiple Access based SWIPT Cognitive Relay Network by Abdul Ali Khan, Punithavathi M. Thirunavakkarasu, Nawaf Waqas

“…This paper examines the performance of a half-duplex wireless sensor network (WSN) by using cooperative non-orthogonal multiple access (NOMA) integrated with simultaneous wireless information and power transfer (SWIPT) over Rayleigh fading channel to improve the performance of far and cognitive users in terms of spectrum efficiency, prolonging the coverage area, and network lifetime. …”
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A Review of the Digital Twin Technology in the AEC-FM Industry by Haidar Hosamo Hosamo, Aksa Imran, Juan Cardenas-Cartagena, Paul Ragnar Svennevig, Kjeld Svidt, Henrik Kofoed Nielsen

“…The Architecture, Engineering, Construction, and Facility Management (AEC-FM) industry is increasingly affected by digital technologies that monitor sensor network data and control automation systems. Advances in digital technologies like Digital Twin offer a high-level representation of buildings and their assets by integrating the physical and digital world. …”
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Solving the Fragment Complexity of Official, Social, and Sensorial Urban Data by Hui Liu, Jingqing Jiang, Yaowei Hou, Jie Song

“…Sources of urban data are generally categorized as one of the three types: official, social, and sensorial, which are from the government and enterprises, social networks of citizens, and the sensor network. These types typically differ significantly from each other but are consolidated together for the smart urban services. …”
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Heuristic Forest Fire Detection Using the Deep Learning Model with Optimized Cluster Head Selection Technique by Sengottaiyan N., Ananthi J., Rajesh Sharma R., Hamsanandhini S., Sungheetha Akey, Chinnaiyan R., Ketema Adare Gemeda

“…The major goal is to augment the accuracy and efficiency of forest fire prediction, leveraging the capabilities of advanced machine learning algorithms and optimized sensor network management. The proposed system comprises two core components: a deep learning model for predictive analysis and an optimized selection process for cluster heads in sensor networks. …”
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Sensor Placement Strategies for the Seismic Monitoring of Complex Vaulted Structures of the Modern Architectural Heritage by Erica Lenticchia, Rosario Ceravolo, Paola Antonaci

“…The variability in the environmental and operating conditions needs to be accounted for in designing such a sensor network, but it is mainly the structural typology that governs the optimal sensor placement strategy. …”
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JointTracker: Real-time inertial kinematic chain tracking with joint position estimation [version 2; peer review: 1 approved, 2 approved with reservations] by Michael Lorenz, Didier Stricker, Markus Miezal, Gabriele Bleser-Taetz, Bertram Taetz

“…The approach can directly be applied to a synchronized data stream from a body-mounted inertial sensor network. Successful evaluations are demonstrated on noisy simulated data from a three-link chain, real lower-body walking data from 25 young, healthy persons, and walking data captured from a humanoid robot.…”
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IoT-enhanced smart road infrastructure systems for comprehensive real-time monitoring by Zhoujing Ye, Ya Wei, Songli Yang, Pengpeng Li, Fei Yang, Biyu Yang, Linbing Wang

“…To address these challenges, this study developed a self-powered distributed intelligent pavement monitoring system based on IoT, encompassing a sensor network, cloud platform, communication network, and power supply system. …”
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Development and Implementation of an IoT-Based Early Flood Detection and Monitoring System Utilizing Time Series Forecasting for Real-Time Alerts in Resource-Constrained Environmen... by Nik Nor Muhammad Saifudin Nik Mohd Kamal, Ahmad Anwar Zainuddin, Abu Ubaidah Shamsudin, Muhamad Syariff Sapuan, Muhammad Hazim Amin Samsudin, Mohammad Adam Haikal Zulkfli

“…The system uses commonly accessible components such as NodeMCU ESP8266, HC-SRO4 Ultrasonic Sensors, and MAX7219 Dot Matrix Displays to build a sensor network in flood-prone locations. These sensors continually send data to a central processing unit for analysis, and a machine learning model based on Time Series forecasting is used for predictive analysis in the ThingSpeak platform, which is available via an internet dashboard for real-time monitoring. …”
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Smart Healthy Schools: An IoT-enabled concept for multi-room dynamic air quality control by Alessandro Zivelonghi, Alessandro Giuseppi

“…The multi-room monitoring concept of indoor-CO2 levels allows centralized control of natural ventilation levels in individual classrooms and can handle (quasi)-real-time data, relevant for data post-processing and future developments in (quasi)-real-rime assessment of IAQ and infection risk levels at single room scale. The sensor network is also extensible to up to one thousand of classrooms per LoRa-node allowing centralized control of entire school districts at an urban scale. …”
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Decoding Gestures in Electromyography: Spatiotemporal Graph Neural Networks for Generalizable and Interpretable Classification by Hunmin Lee, Ming Jiang, Jinhui Yang, Zhi Yang, Qi Zhao

“…Despite these achievements, prevailing methodologies often overlook the intrinsic physical configurations and interconnectivity of multi-channel sensory inputs, resulting in a failure to adequately capture relational information embedded within the connections of deployed EMG sensor network topology. This oversight poses a significant challenge, impeding the extraction of crucial features from collaborative multi-channel EMG inputs and subsequently constraining model performance, generalizability, and interpretability. …”
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Biology-Informed inverse problems for insect pests detection using pheromone sensors by Malou, Thibault, Parisey, Nicolas, Adamczyk-Chauvat, Katarzyna, Vergu, Elisabeta, Laroche, Béatrice, Calatayud, Paul-André, Lucas, Philippe, Labarthe, Simon

“…In this paper, we develop a biology-informed inverse problem framework that leverages temporal signals from a pheromone sensor network to build insect presence maps. Prior biological knowledge is introduced in the inverse problem by the mean of a specific penalty, using population dynamics PDE residuals. …”
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