Welfare impacts during and after reproductive procedures for in vivo embryo production and transfer in Holstein dairy heifers by D. Ledoux, A. de Boyer des Roches, P. de Roover, C. Roque, S. Lancelin, B. Deloupy-Dobin, P. Salvetti

“…Behavioural recordings (video and continuous monitoring sensors), physiological and clinical examinations, and blood sampling were performed at regular intervals on each reproductive procedure from the start of contention up to 24 h after the end of the procedure. …”
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Studying the Geo-morphological effects of water Level Fluctuations on the Beaches Applying Multi-sensor Satellite (Case Study: the West Coast of Oroomye Lake) by Davoud Mokhtary, Hamdieh Shirzady

“…Studying the fluctuations in water level of the lakes has found as special fame due to their importance, identity and situation. The present paper aims at studying the lake water level changes using satellite images and GIS. …”
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Developing a Novel Adaptive Double Deep Q-Learning-Based Routing Strategy for IoT-Based Wireless Sensor Network with Federated Learning by Nalini Manogaran, Mercy Theresa Michael Raphael, Rajalakshmi Raja, Aarav Kannan Jayakumar, Malarvizhi Nandagopal, Balamurugan Balusamy, George Ghinea

“…Among these fundamentals, wireless sensor networks (WSNs) are important for maintaining a countenance with their many distributed Sensor Nodes (SNs), which can sense and transmit environmental data wirelessly. …”
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Protocol to study adenosine release in the adult mouse hippocampus using a genetically encoded sensor, 2-photon live imaging, and fiber photometry by Coralie Berthoux, Pablo E. Castillo, Kaoutsar Nasrallah

“…Here, we present a protocol to measure adenosine release using the G protein-coupled receptor activation-based adenosine (GRABAdo1.0m) sensor in the mouse hippocampus. …”
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Biometrics gait system based on motion sensors embedded in a mobile phone: a case study for a two-day training set by Aleksander Sawicki, Khalid Saeed

“…This paper presents the results of a study on developing a gait biometrics system based on motion sensors (an accelerometer and gyroscope), embedded in a smartphone. …”
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Securing Body Sensor Networks with Biometric Methods: A New Key Negotiation Method and a Key Sampling Method for Linear Interpolation Encryption by Huawei Zhao, Chi Chen, Jiankun Hu, Jing Qin

“…We present two approaches that exploit biometric data to address security problems in the body sensor networks: a new key negotiation scheme based on the fuzzy extractor technology and an improved linear interpolation encryption method. …”
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Ultra-sensitive surface plasmon resonance sensor integrating MXene (Ti3C2TX) and graphene for advanced carcinoembryonic antigen detection by Ali Khodaie, Hamid Heidarzadeh

“…Abstract Carcinoembryonic antigen (CEA) is a critical biomarker for diagnosing and monitoring cancers such as liver, colon, and breast cancer. This study presents a highly sensitive surface plasmon resonance (SPR) sensor incorporating 2D materials—graphene and MXene (Ti3C2TX)— in a Kretschmann configuration. …”
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A New Sensorized Approach Based on a DeepLabCut Model and IR Thermography for Characterizing the Thermal Profile in Knees During Exercise by Davide Crisafulli, Marta Spataro, Cristiano De Marchis, Giacomo Risitano, Dario Milone

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IoT-MQTT Protocol-Based Water Sensor System to Monitor Citarum River Water Quality using Arduino Uno R4 Wifi by Winata Tegar Saputra, Eka Cahya Prima, Muhammad Cahyana Bintang Fajar, Muhammad Fahru Rozi, Nady Artan Destanto, Azzahra Siti Hadjar, Muhamad Nur Yasin Amadudin, Rizki Maulana Ashidiq

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Modeling of a BK7 prism/Ag/Ni/ZnSe/SM-based sensor for maintaining optimum performance in glucose level detection by Kazi Mustafizur Rahman

“…The motivation is to develop an optimum resulting surface plasmon resonance sensor for this issue based on the Kretschmann configuration. …”
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Building Fast Dynamic 3D Maps for Trajectory Planning of Autonomous Ground Vehicles Using Non-Repetitive Scanning LiDAR Sensor by Ahmad K. Aijazi, Paul Checchin

“…In this paper, we present a 3D point cloud registration method that exploits the unique scanning pattern of such a sensor to register successive 3D scans. …”
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A dataset of particulate matters measurements from a network of mobile and fixed sensors and monitoring stations in Rouen (Northwestern France)Mendeley Data by Michel Bobbia, Jean-Michel Poggi, Bruno Portier, Emma Thulliez

“…This article presents a dataset comprising mobile and fixed measurements of particulate matters (PM) collected by means of low-cost sensors and monitoring stations in Rouen, France. …”
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Proof-of-Concept of a Monopulse Antenna Architecture Enabling Radar Sensors in Unmanned Aircraft Collision Avoidance Systems for UAS in U-Space Airspaces by Javier Ruiz Alapont, Miguel Ferrando-Bataller, Juan V. Balbastre

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Real-Time Hand Gesture Recognition in Clinical Settings: A Low-Power FMCW Radar Integrated Sensor System with Multiple Feature Fusion by Haili Wang, Muye Zhang, Linghao Zhang, Xiaoxiao Zhu, Qixin Cao

“…This paper presents a real-time hand gesture recognition system using a low-power Frequency-Modulated Continuous Wave (FMCW) radar sensor, featuring a novel Multiple Feature Fusion (MFF) framework optimized for deployment on edge devices. …”
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Continuous 24-hour measurement of intraocular pressure in millimeters of mercury (mmHg) using a novel contact lens sensor: Comparison with pneumatonometry. by Kevin Gillmann, Robert Wasilewicz, Kirsten Hoskens, Sonja Simon-Zoula, Kaweh Mansouri

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Implementing a Low-Cost Non-Destructive Microwave Sensor to Monitor the Real-Time Moisture Content of Rubber Wood in Industrial Dehydration Processes by Thunyawat Limpiti, Charernkiat Pochaiya, Siraporn Sakphrom, Srawouth Chandhaket, Prapan Leekul, Koki Ogura, Tanawut Tantisopharak

“…This study aims to present a low-cost, non-destructive microwave sensor implementation to monitor the real-time moisture content of rubber wood in industrial dehydration processes. …”
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HCMMA-Net: A Hybrid Convolutional Multi-Modal Attention Network for Human Activity Recognition in Smart Homes Using Wearable Sensor Data by Nazish Ashfaq, Zeeshan Aziz, Muhammad Hassan Khan, Muhammad Adeel Nisar, Adnan Khalid

“…However, integrating these modalities poses challenges due to sensor heterogeneity and variability in placement. …”
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A Direct Detection Fiber Optic Distributed Acoustic Sensor With a Mean SNR of 7.3 dB at 102.7 km by Faruk Uyar, Talha Onat, Canberk Unal, Tolga Kartaloglu, Ekmel Ozbay, Ibrahim Ozdur

“…In this work, we present the experimental results of a direct detection <inline-formula><tex-math notation="LaTeX">$\varphi $</tex-math></inline-formula>-OTDR based distributed acoustic sensor system. …”
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Detection and Severity Assessment of Parkinson’s Disease Through Analyzing Wearable Sensor Data Using Gramian Angular Fields and Deep Convolutional Neural Networks by Sayyed Mostafa Mostafavi, Shovito Barua Soumma, Daniel Peterson, Shyamal H. Mehta, Hassan Ghasemzadeh

“…Our model was applied to PD gait signals captured using pressure sensors embedded into insoles. Our results indicated an accuracy of 98.6%, a true positive rate (TPR) of 99.2%, and a true negative rate (TNR) of 98.5%, showcasing superior classification performance for PD diagnosis compared to the methods used in recent studies in the literature. …”
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Unified Deep Learning Model for Global Prediction of Aboveground Biomass, Canopy Height, and Cover from High-Resolution, Multi-Sensor Satellite Imagery by Manuel Weber, Carly Beneke, Clyde Wheeler

“…Increasing efforts have been made to address these challenges by incorporating remotely sensed data. We present a new methodology that uses multi-sensor, multispectral imagery at a resolution of 10 m and a deep learning-based model that unifies the prediction of aboveground biomass density (AGBD), canopy height (CH), and canopy cover (CC), as well as uncertainty estimations for all three quantities. …”
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