Magnetic Field Meter Based on CMR-B-Scalar Sensor for Measurement of Microsecond Duration Magnetic Field Pulses by Pavel Piatrou, Voitech Stankevic, Nerija Zurauskiene, Skirmantas Kersulis, Mindaugas Viliunas, Algirdas Baskys, Martynas Sapurov, Vytautas Bleizgys, Darius Antonovic, Valentina Plausinaitiene, Martynas Skapas, Vilius Vertelis, Borisas Levitas

“…This study presents a system for precisely measuring pulsed magnetic fields with high amplitude and microsecond duration with minimal interference. …”
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Design and implementation of a solar powered kit for measurement and logging of environmental parameters using the SEN55 sensor by J. Nchi Muhvu, M.D. Fendji, C.M. Ekengoue

“…Air pollution poses significant threats to human health, ecosystems, and biodiversity, exacerbating climate change and reducing life expectancy. This study presents the design and implementation of a 6 W, 5 V solar-powered air quality monitoring system using the SEN55 environmental sensor node. …”
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High-Knee-Flexion Posture Recognition Using Multi-Dimensional Dynamic Time Warping on Inertial Sensor Data by Annemarie F. Laudanski, Arne Küderle, Felix Kluge, Bjoern M. Eskofier, Stacey M. Acker

“…Relating continuously collected inertial data to the activities or postures performed by the sensor wearer requires pattern recognition or machine-learning-based algorithms, accounting for the temporal and scale variability present in human movements. …”
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Enhancing intrusion detection in wireless sensor networks using a Tabu search based optimized random forest by Vivek Kumar Pandey, Shiv Prakash, Tarun Kumar Gupta, Priyanshu Sinha, Tiansheng Yang, Rajkumar Singh Rathore, Lu Wang, Sabeen Tahir, Sheikh Tahir Bakhsh

“…Abstract Intrusion detection in Wireless Sensor Networks (WSNs) is an emerging area of research, given their extensive use in sensitive fields like military surveillance, healthcare, environmental monitoring, and smart cities. …”
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Blending enzyme immobilization enabled high performance glucose sensor based on an n-channel organic electrochemical transistor by Cheng Shi, Xingyu Jiang, Qi Wang, Chuan Xiang, Xinyu Dong, Lifeng Chi, Lizhen Huang

“…Nevertheless, the utilization of a single material and its depleting characteristics impose significant limitations on device miniaturization and integration applications. We present a high-sensitivity glucose sensor based on n-channel accumulation-type OECT through immobilization the glucose oxidase on Pt gate electrode with an blending approach. …”
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Advanced Self-Driving Vehicle Model for Complex Road Navigation Using Integrated Image Processing and Sensor Fusion by Kalapraveen Bagadi, Naveen Kumar Vaegae, Visalakshi Annepu, Khaled Rabie, Shafiq Ahmad, Thokozani Shongwe

“…This paper presents a sophisticated self-driving vehicle (SDV) model that addresses the challenges of navigating complex road networks characterized by high traffic and unpredictable environments. …”
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Efficient hardware implementation of interpretable machine learning based on deep neural network representations for sensor data processing by J. Schauer, P. Goodarzi, A. Schütze, T. Schneider

“…<p>With the rising number of machine learning and deep learning applications, the demand for implementation of those algorithms near the sensors has grown rapidly to allow efficient edge computing. …”
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Novel Electromagnetic-Interference-Free Indoor Environment Monitoring System by Mobile Camera-Image-Sensor-Based VLC by ZhenYang Ong, Vega Pradana Rachim, Wan-Young Chung

“…On the other hand, visible light communication technologies that use a light-emitting diode (LED) light source and a photodetector to transmit and receive data through visible light have a severe demerit that the modulation and demodulation processes in the system can be complicated. This paper presents a low-cost wireless mobile indoor environment monitoring system with no additional complicated signal detecting device, except a mobile device and sensor modules. …”
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Embedded machine learning for fault detection in conveyor systems using multi-sensor data and discrete wavelet transform by Hoang Duc Do, Quang Minh Vien, Khang Hoang Vinh Nguyen, Can Duy Le

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Optical, dye degradation, and electrochemical sensor studies of CeO2 and CuO nanoparticles by pomegranate peel by A. Harshavardhan, V.B. Nagaveni, H. Madhu

“…This study presents a comparative investigation of cerium oxide (CeO2) and copper oxide (CuO) nanoparticles synthesized via the solution combustion method (SCM) using pomegranate peel as a green fuel. …”
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KOALA: A Modular Dual-Arm Robot for Automated Precision Pruning Equipped with Cross-Functionality Sensor Fusion by Charan Vikram, Sidharth Jeyabal, Prithvi Krishna Chittoor, Sathian Pookkuttath, Mohan Rajesh Elara, Wang You

“…The robot utilizes a cross-functionality sensor fusion approach, combining light detection and ranging (LiDAR) sensor and depth camera data for plant recognition and isolating the data points that require pruning. …”
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Comb-Tipped Coupled Cantilever Sensor for Enhanced Real-Time Detection of <i>E. coli</i> Bacteria by Syed Ali Raza Bukhari, Elham Alaei, Zongchao Jia, Yongjun Lai

“…Here, we present a coupled cantilever sensor incorporating interdigitated comb-shaped structures to enhance dielectrophoretic (DEP) capture of <i>Escherichia coli</i> in liquid samples. …”
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All-Optical Demodulation Fiber Acoustic Sensor With Real-Time Controllable Sensitivity Based on Optical Vernier Effect by Shuai Wang, Shun Wang, Rui-Bo Jin, Mingzhe Feng, Shun Wu, Liang Zhang, Peixiang Lu

“…In addition, the question of how to enable user-editable features for fiber optic sensors is gaining more and more attention. This letter presents a fiber acoustic sensor with real-time controllable sensitivity based on the optical vernier effect, which is possibly a solution to such a problem. …”
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A novel smart baby cradle system utilizing IoT sensors and machine learning for optimized parental care by Kunal Chandnani, Suryakant Tripathy, Ashutosh Krishna Parbhakar, Kshitij Takiar, Urvi Singhal, P. Sasikumar, S. Maheswari

“…This smart cradle is designed to overcome these limitations by employing a comprehensive network of sensors—including temperature, humidity, gas, noise sensors, and a cry-detection microphone—to monitor the baby’s needs and environmental conditions in real time. …”
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OptiBench: An Optical Distance Measurement Test Bench Using Adaptive Algorithm With Sensor Fusion and Environmental Shielding by Kanchana Chathurangi Ahangama, Hemali Pasqual, Chinthaka Premachandra, H. Waruna Haripriya Premachandra

“…The uncertainty of these natural factors makes it challenging to maintain the accuracy and reliability of ODM systems. This paper presents an innovative displacement test bench, OptiBench, that combines Adaptive Environmental Compensation (AEnC) algorithms, Multi-Sensor Fusion (MSF) techniques, and dynamic environmental shielding that improves ODM systems&#x2019; accuracy, precision, and robustness. …”
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Advanced KNN-based cost-efficient algorithm for precision localization and energy optimization in dynamic underwater sensor networks by Nadia Shamshad, Lei Wang, Kiran Saleem, Danish Sarwr, Salil Bharany, Ahmad Almogren, Jaeyoung Choi, Ateeq Ur Rehman, Ayman Altameem

“…Results demonstrate notable improvements in localization accuracy by optimizing the localization error rate from 4.59m to $$3.88 \times 10^{-8}$$ m, Reducing localization energy consumption rate 0.0045J in addition for the first time we have also computed the localization Time cost rate which is 0.06762s. we assumed that in real-time and in NS-3 simulations on the Aqua-sim model indicate communication speed at 1500m/s. This research presents an innovative and practical approach to resolving challenges associated with underwater context acquisition through sensor nodes, it offers a comprehensive understanding and emphasizes the real-time implementation of the KNN-based cost-efficient approach.…”
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Non-Invasive Detection of Interferon-Gamma in Sweat Using a Wearable DNA Hydrogel-Based Electrochemical Sensor by Yang Dai, Xiuran Mao, Maimaiti A. Abulaiti, Qianyu Wang, Zhihao Bai, Yifeng Ding, Shuangcan Zhai, Yang Pan, Yue Zhang

“…Among these, electrochemical sensors are particularly advantageous, due to their excellent signal responsiveness, cost-effectiveness, miniaturization, and broad applicability, making them ideal for constructing wearable sweat sensors. …”
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Optimizing energy constrained target localization and tracking with radial bias and seeker optimization algorithms in wireless sensor networks by S. Yazhinian, S. Famila, P. Jose, Mahendar A, Sofia R

“…It is seen that the proposed RadB_SOA achieves 12.4 % of transmission error, 14.6 % of ranging error, 96.3 % of localization coverage, 98.65 % of PDR, and 21.56 % of energy consumption. • The Radial Bias-Seeker Optimization Algorithm (RadB_SOA) suggested enhances the precision in target localization and optimizes energy usage in wireless sensor networks. • Simulation outcomes reveal improved tracking accuracy, minimized transmission and ranging errors, as well as increased localization coverage over current techniques. • The research presents an extensive evaluation of particle count fluctuations in RBSO, demonstrating enhanced positioning speed and precision with network efficiency.…”
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Development of HfO₂-Based Solar-Blind SAW UV-C Sensor for Corona Discharge Detection Application by Hyunho Lee, Faisal Nawaz, Eeunsun Shim, Jinjae Lee, Cheol Choi, Keekeun Lee

“…This study presents a novel surface acoustic wave (SAW)-based solar-blind ultraviolet-C (UV-C) corona sensor, marking the first reported use of HfO₂ as a sensing material for UV-C corona sensing. …”
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Energy efficient gateway based routing with maximized node coverage in a UAV assisted wireless sensor network. by Bilal Ahmad, Masroor Ahmed, Nadeem Anjum, Masood Ur Rehman, Naeem Ramzan

“…These challenges impact the outcome for extending the lifetime of wireless sensor networks. This study presents a uav assisted reactive zone based EHGR (energy efficient hierarchical gateway routing protocol) that is deployed in a situation where the natural calamity has caused communication and infrastructure damage to a major portion of the sensor network. …”
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