Shifts in light availability driven by dieback across a marsh‐forest gradient by Giovanna Nordio, Keryn Gedan, Sergio Fagherazzi

“…In this research, we present an analysis of illuminance and temperature in a coastal forest transitioning to a salt marsh. …”
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Ferromagnetic-Dielectric Ni0.5Zn0.5Fe1.9O4−δ/PbZr0.52Ti0.48O3 Particulate Composites: Electric, Magnetic, Mechanical, and Electromagnetic Properties by M. Venkata Ramana, N. Ramamanohar Reddy, B. S. Murty, V. R. K. Murthy, K. V. Siva Kumar

“…These ferroelectric-dielectric particulate composites were prepared with a view to using them as ME sensors and transducers.…”
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A Web-Based Interface That Leverages Machine Learning to Assess an Individual’s Vulnerability to Brain Stroke by Divyansh Bhandari, Arnav Agarwal, R. Reena Roy, Rajaram Priyatharshini, Rodriguez Rivero Cristian

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A deep learning and IoT-driven framework for real-time adaptive resource allocation and grid optimization in smart energy systems by Arvind R. Singh, M. S. Sujatha, Akshay D. Kadu, Mohit Bajaj, Hailu Kendie Addis, Kota Sarada

“…The framework leverages both historical and real-time data for proactive power flow management, while IoT-enabled sensors ensure continuous monitoring and low-latency response through edge and cloud computing infrastructure. …”
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Análisis modal operacional de un edificio de concreto reforzado mediante métodos subespaciales estocásticos by Yi Cheng Liu Kuan, Luis Carlos Esquivel-Salas

“… El objetivo del presente estudio es la identificación de los parámetros modales operacionales de un edificio de concreto reforzado tipo marco de seis niveles. …”
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Aspect controls on the spatial redistribution of snow water equivalence through the lateral flow of liquid water in a subalpine catchment by K. L. Mooney, K. L. Mooney, R. W. Webb

“…Further observations show a steady increase in soil moisture in sensors at the SNOTEL station throughout the winter in the flat terrain and ice layer formation on the south aspect snow pits during mid-winter surveys. …”
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AutoFactory Dataset to Support AI in Manufacturing SystemsHugging Face by Abderrahmane Boudribila, Abdelouahed Tajer, Zakaria Boulghasoul

“…One of the main challenges is the absence of publicly available, domain-specific datasets suitable for training such models. This article presents AutoFactory, an open-source dataset that includes manually written and LLM-augmented requirement specifications, annotated by domain experts for Named Entity Recognition (NER) tasks using the BIO format.AutoFactory enables the extraction and classification of key industrial components, including actuators, pre-actuators, sensors, effectors, and others. …”
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Exploring the Relations Between Running Variability and Injury Susceptibility: A Scoping Review by Zaheen Ahmed Iqbal, Daniel Hung-Kay Chow

“…Despite the absence of standardized running variability norms, wearable sensors offer insights into real-world running mechanics, presenting running variability as a potential predictor of running-related injuries. …”
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Enhancing Clinical Data Infrastructure for AI Research: Comparative Evaluation of Data Management Architectures by Richard Gebler, Ines Reinecke, Martin Sedlmayr, Miriam Goldammer

“… BackgroundThe rapid growth of clinical data, driven by digital technologies and high-resolution sensors, presents significant challenges for health care organizations aiming to support advanced artificial intelligence research and improve patient care. …”
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Intelligent integration of AI and IoT for advancing ecological health, medical services, and community prosperity by Abdulrahman Alzahrani, Patty Kostkova, Hamoud Alshammari, Safa Habibullah, Ahmed Alzahrani

“…The system employs AI models powered by IoT sensors for efficient waste collection, classification, and optimization of recycling schedules. …”
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Enhanced Fetal Arrhythmia Classification by Non-Invasive ECG Using Cross Domain Feature and Spatial Differences Windows Information by Gede Angga Pradipta, Putu Desiana Wulaning Ayu, Made Liandana, Dandy Pramana Hostiadi

“…First, the original waveform signals from six sensors were transformed into a multi-level decomposition using the HAAR wavelet. …”
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Analysis of Air Pollution Data in India between 2015 and 2019 by Disha Sharma, Denise Mauzerall

“…Our reanalyzed dataset is useful for evaluation of Indian air quality from satellite data, atmospheric models, and low-cost sensors. Our dataset also provides a baseline to evaluate the future success of National Clean Air Programme as well as aids in assessment of existing and future air pollution mitigation policies.…”
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Inland Water Quality Monitoring Using Airborne Small Cameras: Enhancing Suspended Sediment Retrieval and Mitigating Sun Glint Effects by Diogo Olivetti, Henrique L. Roig, Jean-Michel Martinez, Alexandre M. R. Ferreira, Rogério R. Marinho, Ronaldo L. Mincato, Eduardo Sávio P. R. Martins

“…The ongoing advancement of unmanned aerial vehicles (UAVs) and the evolution of small-scale cameras have bridged the gap between traditional ground-based surveys and orbital sensors. However, these systems present challenges, including limited coverage area, image stabilization constraints, and complex image processing. …”
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GCT-GF: A generative CNN-transformer for multi-modal multi-temporal gap-filling of surface water probability by Yanjiao Song, Linyi Li, Yun Chen, Junjie Li, Zhe Wang, Zhen Zhang, Xi Wang, Wen Zhang, Lingkui Meng

“…Spatial and temporal data gaps present a significant challenge to high-frequency surface water mapping using satellite imagery. …”
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Estimation of the drift velocity of Equatorial Plasma Bubbles using GNSS and digisonde data by Navas-Portella Víctor, Altadill David, Blanch Estefania, Altadill Mar, Segarra Antoni, de Paula Víctor, Timoté Cristhian Camilo, Juan José Miguel

“…Applying the capabilities of this new method in a dense network of GNSS sensors, we have developed an interferometric procedure for estimating EPB drift velocities, including both speed and direction. …”
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An Efficient and Hybrid Deep Learning-Driven Model to Enhance Security and Performance of Healthcare Internet of Things by Muhammad Babar, Muhammad Usman Tariq, Basit Qureshi, Zabeeh Ullah, Fahim Arif, Zahid Khan

“…The development of wireless communication technology has led to an exponential growth in the Healthcare Internet of Things (H-IoT). Sensors and actuators are used in smart medical devices to collect data about the human body, which is then sent to the fog layer for analysis. …”
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Real-Time Prediction of the Dynamic Spatial Configuration of Umbilical Cables Based on Monitoring Data During Deep-Sea In-Situ Mining by Chaojun Huang, Shuqing Wang, Jiancheng Liu, Lei Li, Wencheng Liu, Lin Huang, Zhihao Yu, Wen Shen, Yuankun Sun, Yu Liu, Yuanyuan Liu

“…At first, the environmental information, position and motion of the vessel–umbilical cable–mining system were collected by sensors arranged at different locations. Then, the data were converted and transformed to the local vessel coordinate system. …”
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NeuroRF FarmSense: IoT-fueled precision agriculture transformed for superior crop care by Tarun Vats, Shrey Mehra, Uday Madan, Amit Chhabra, Akashdeep Sharma, Kunal Chhabra, Sarabjeet Singh, Utkarsh Chauhan

“…By utilizing soil sensors and a robust IoT framework, this system enables effective data collection across vast and remote agricultural areas. …”
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SPUFChain: Permissioned Blockchain Lightweight Authentication Scheme for Supply Chain Management Using PUF of IoT by Mohammad Iqbal Saryuddin Assaqty, Ying Gao, Abeer D. Algarni, Siraj Khan, Mohuya Chakraborty, Hafied Nur Siddiqi, Sadique Ahmad

“…For instance, manufacturers are employing Internet-enabled sensors in production to find product faults, resulting in higher-quality production runs. …”
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Characterization of volatile organic compounds in walnut oil with various oxidation levels using olfactory analysis and HS-SPME-GC/MS by Lina Sun, Guowang Wang, Lijian Xiong, Zhongqiang Yang, Yan Ma, Yanlong Qi, Yongyu Li

“…Furthermore, the correlation network analysis revealed a strong correlation between the olfactory analyzer sensors and the characteristic volatile compounds. …”
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