A Multi-Active and Multi-Passive Sensor Fusion Algorithm for Multi-Target Tracking in Dense Group Clutter Environments by Yongquan Zhang, Fan Yang, Wenbo Zhang, Aomen Shang, Zhibin Li

“…Multi-target tracking (MTT) of multi-active and multi-passive sensor (MAMPS) systems in dense group clutter environments is facing significant challenges in measurement fusion. …”
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A Method for Developing a Digital Terrain Model of the Coastal Zone Based on Topobathymetric Data from Remote Sensors by Mariusz Specht, Marta Wiśniewska

“…This technical note aims to present a method for developing a Digital Terrain Model (DTM) of the coastal zone based on topobathymetric data from remote sensors. …”
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Interoperable Traceability in Agrifood Supply Chains: Enhancing Transport Systems Through IoT Sensor Data, Blockchain, and DataSpace by Giovanni Farina, Alexander Kocian, Gianluca Brunori, Stefano Chessa, Maria Bonaria Lai, Daniele Nardi, Claudio Schifanella, Susanna Bonura, Nicola Masi, Sergio Comella, Fiorenzo Ambrosino, Angelo Mariano, Lucio Colizzi, Giovanna Maria Dimitri, Marco Gori, Franco Scarselli, Silvia Bonomi, Enrico Almici, Luca Antiga, Antonio Salvatore Fiorentino, Lucio Moreschi

“…In this work, we propose the concept of <i>interoperable traceability</i>. We present a model that enables the seamless integration of data from sensors, IoT devices, data management platforms, and distributed ledger technologies (DLT) within a newly designed data space architecture. …”
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BiVO₄-Based Photoelectrochemical Sensors for the Detection of Diclofenac: The Role of Doping, Electrolytes and Applied Potentials by Milda Petruleviciene, Irena Savickaja, Jelena Kovger-Jarosevic, Monika Skruodiene, Jurga Juodkazyte, Simonas Ramanavicius, Arunas Ramanavicius

“…This study presents the findings of an investigation into the characteristics and capabilities of BiVO₄ and Mo-doped BiVO₄ coatings for the detection of diclofenac (DCF). …”
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A Molecularly Imprinted Polymer Nanobodies (nanoMIPs)-Based Electrochemical Sensor for the Detection of <i>Staphylococcus epidermidis</i> by Witsanu Rapichai, Chularat Hlaoperm, Adriana Feldner, Julia Völkle, Kiattawee Choowongkomon, Jatuporn Rattanasrisomporn, Peter A. Lieberzeit

“…Methicillin-resistant <i>Staphylococcus epidermidis</i> (MRSE) contamination is commonly found on human skin and medical devices. Herein, we present a sensor utilizing molecularly imprinted polymer nanobodies (nanoMIP) for recognition and electrochemical impedance spectroscopy (EIS) to detect <i>S. epidermidis.…”
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Intelligent Ultrasonic Aspirator Controlled by Fiber-Optic Neoplasm Sensor Detecting 5-Aminolevulinic Acid-Derived Porphyrin Fluorescence by Yoshinaga Kajimoto, Hidefumi Ota, Masahiro Kameda, Naosuke Nonoguchi, Motomasa Furuse, Shinji Kawabata, Toshihiko Kuroiwa, Toshihiro Takami, Masahiko Wanibuchi

“…The development of an intelligent ultrasonic aspirator controlled by a fiber-optic neoplasm sensor that detects 5-aminolevulinic acid-derived porphyrin fluorescence presents a significant advancement in glioma surgery. …”
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An Intelligent Self-Validated Sensor System Using Neural Network Technologies and Fuzzy Logic Under Operating Implementation Conditions by Serhii Vladov, Victoria Vysotska, Valerii Sokurenko, Oleksandr Muzychuk, Lyubomyr Chyrun

“…This article presents an intelligent self-validated sensor system developed for dynamic objects and based on the intelligent sensor concept, which ensures autonomous data collection and real-time analysis while adapting to changing conditions and compensating for errors. …”
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Rapid and Ultrasensitive Sensor for Point-of-Use Detection of Perfluorooctanoic Acid Based on Molecular Imprinted Polymer and AC Electrothermal Effect by Niloufar Amin, Jiangang Chen, Ngoc Susie Nguyen, Qiang He, John Schwartz, Jie Jayne Wu

“…Sensitive, rapid, and in-field analysis is needed to ensure safe water supplies. Here, we present a single step (one shot) and rapid sensor capable of measuring PFOA at the sub-quadrillion (ppq) level, 4.5 × 10⁻⁴ ppq, within 10 s. …”
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Selective Consecutive Determination of Desloratadine and Montelukast Sodium in Their Pure and Binary Dosage Form Based on Pencil Graphite Electrochemical Sensors by Amir Alhaj Sakur, Dania Nashed, Imad Noureldin

“…In this study, we present a new, green electrochemical method for potentiometric estimation of desloratadine and montelukast sodium in their pure and binary dosage form. …”
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Pioneering CPMI framework for accurate state-of-health assessment in Lithium ion battery power management using FBG sensors by Taher M. Ghazal, Ali Q. Saeed, Mosleh M. Abualhaj, Taj-Aldeen Naser Abdali, Munir Ahmad

“…Continuous monitoring of the State of Health (SOH) in Lithium-ion (Li-ion) batteries is crucial for ensuring operational reliability and safety in powered devices. This paper presents a novel Classifier-Pursued Maintenance Index Scheme (CPMI) that leverages Fiber Bragg Grating (FBG) sensor measurements for sustainable SOH monitoring and maintenance scheduling. …”
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Electrochemical synthesis of poly 4, 4′-methylenedianiline /graphene oxide composite by in situ method as sensitive and selective sensor of thioanisole by Esmail Mohseni, Abdolrasoul Rahmani, Ali Kazemi, Zahra Hamdi

“…Methods: A voltammetric sensor based on a poly4.4′-methylenedianiline /graphene oxide electrode (PMDA/GO) has been developed for the sensitive and selective detection of thioanisole. …”
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Intelligent deep learning for human activity recognition in individuals with disabilities using sensor based IoT and edge cloud continuum by Mohammed Maray

“…HAR involves collecting sensor data to classify diverse human activities and is a rapidly growing field. …”
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Intelligent Health Monitoring in 6G Networks: Machine Learning-Enhanced VLC-Based Medical Body Sensor Networks by Bilal Antaki, Ahmed Hany Dalloul, Farshad Miramirkhani

“…Visible Light Communication (VLC) leverages existing lighting infrastructure to deliver high data rates while mitigating electromagnetic interference (EMI); however, patient movement induces fluctuating signal strength and dynamic channel conditions. In this paper, we present a novel integration of site-specific ray tracing and machine learning (ML) for VLC-enabled Medical Body Sensor Networks (MBSNs) channel modeling in distinct hospital settings. …”
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Hierarchical Porous Biowaste‐Based Dual Humidity/Pressure Sensor for Robotic Tactile Sensing, Sustainable Health, and Environmental Monitoring by Sheik Abdur Rahman, Shenawar Ali Khan, Shahzad Iqbal, Ishwor Bahadur Khadka, Muhammad Muqeet Rehman, Jae‐Won Jang, Woo Young Kim

“…Additionally, TP‐based pressure sensor (TP‐PS) also shows excellent performance in accurately sensing pressure changes in a wide range (0–196 kPa). …”
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Non-Invasive Glucose Monitoring Using Optical Sensors and Machine Learning: A Predictive Model for Nutritional and Health Assessment by Heru Agus Santoso, Nur Setiawati Dewi, Susilo, Arga Dwi Pambudi, Hanif Pandu Suhito, Iman Dehzangi

“…However, invasive methods, while accurate, are often painful and impractical for routine use. This study presents a non-invasive glucose monitoring framework that integrates a high-intensity Superbright optical sensor with an IoT-enabled data acquisition system using ESP32 microcontrollers and Raspberry Pi. …”
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Multi‐sensor missile‐borne LiDAR point cloud data augmentation based on Monte Carlo distortion simulation by Luda Zhao, Yihua Hu, Fei Han, Zhenglei Dou, Shanshan Li, Yan Zhang, Qilong Wu

“…Firstly, the model of multi‐sensor imaging system is established, taking into account the joint errors arising from the platform itself and the relative motion during the imaging process. …”
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Multi-Sensor Flood Mapping in Urban and Agricultural Landscapes of the Netherlands Using SAR and Optical Data with Random Forest Classifier by Omer Gokberk Narin, Aliihsan Sekertekin, Caglar Bayik, Filiz Bektas Balcik, Mahmut Arıkan, Fusun Balik Sanli, Saygin Abdikan

“…Floods stand as one of the most harmful natural disasters, which have become more dangerous because of climate change effects on urban structures and agricultural fields. This research presents a comprehensive flood mapping approach that combines multi-sensor satellite data with a machine learning method to evaluate the July 2021 flood in the Netherlands. …”
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Derivation of Hyperspectral Profiles for Global Extended Pseudo Invariant Calibration Sites (EPICS) and Their Application in Satellite Sensor Cross-Calibration by Juliana Fajardo Rueda, Larry Leigh, Morakot Kaewmanee, Harshitha Byregowda, Cibele Teixeira Pinto

“…The methodology supports efficient global scale sensor calibration and prepares for future hyperspectral missions.…”
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Data-driven fault detection and positioning of eccentric rolls in roll-to-roll systems using wrap angle and sensor proximity by Yoonjae Lee, Minjae Kim, Jaehyun Noh, Gyoujin Cho, Changwoo Lee

“…This paper presents a novel approach for detecting and positioning eccentricity defects in roll-to-roll (R2R) slot-die coating systems, which is critical for maintaining high production quality and efficiency. …”
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A Prototype Intraoral Periapical Sensor with High Frame Rates for a 2.5D Periapical Radiography System by Che-Wei Liao, Ker-Jer Huang, Jyh-Cheng Chen, Chih-Wei Kuo, Yin-Yi Wu, Jui-Ting Hsu

“…Therefore, the total time required for image capture was too long for practical clinical application. The present study developed a high-frame-rate intraoral periapical sensor with a sensor imaging speed of up to 15 Hz. …”
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