CDSS-Pan: Convolutional Dictionary Learning With State Space Model for Pansharpening by Zixu Li, Jintao Song, Genji Yuan, Jinjiang Li

“…Restricted by the development of contemporary sensors, we can only acquire multispectral images (MS) and high-resolution panchromatic (PAN) images separately. …”
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Spin-bearing molecules as optically addressable platforms for quantum technologies by Kuppusamy Senthil Kumar, Hunger David, Ruben Mario, Goldner Philippe, Serrano Diana

“…Crucially, by harnessing the molecular design protocols, the optical and spin (electronic and nuclear) properties of molecules can be tailored, aiding the design of optically addressable spin qubits and quantum sensors. In this contribution, we present a concise and collective discussion of optically addressable spin-bearing molecules – namely, organic molecules, transition metal (TM) and rare-earth ion (REI) complexes – and highlight recent results such as chemical tuning of optical and electron spin quantum coherence, optical spin initialization and readout, intramolecular quantum teleportation, optical coherent storage, and photonic-enhanced optical addressing. …”
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Comparison of different feedback controllers on an airfoil benchmark by L. Michel, C. Braud, J.-P. Barbot, J.-P. Barbot, F. Plestan, D. Peaucelle, X. Boucher

“…The benchmark considered is an airfoil section equipped with trailing edge jets, load sensors and a perturbation system. The objective is to track the lift command under external wind perturbations. …”
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Parametric Digital Twins for Preserving Historic Buildings: A Case Study at Löfstad Castle in Östergötland, Sweden by Zhongjun Ni, Jelrik Hupkes, Petra Eriksson, Gustaf Leijonhufvud, Magnus Karlsson, Shaofang Gong

“…To address this, thirteen cloud-connected sensor boxes, equipped with 84 sensors, were installed throughout the main building, from the basement to the attic, to continuously monitor various indoor environmental parameters. …”
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Real-Time Hardware-in-the-Loop Laboratory Testing for Multisensor Sense and Avoid Systems by Giancarmine Fasano, Domenico Accardo, Lidia Forlenza, Alfredo Renga, Giancarlo Rufino, Urbano Tancredi, Antonio Moccia

“…The flight system is based on multiple-sensor data integration and it includes a Ka-band radar, four electro-optical sensors, and two dedicated processing units. …”
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RETRACTED ARTICLE: An intelligent dynamic cyber physical system threat detection system for ensuring secured communication in 6G autonomous vehicle networks by Shanthalakshmi M, Ponmagal R S

“…Autonomous vehicles rely on a complex network of sensors, cameras, and software to operate. A cyber-attack could interfere with these systems, leading to accidents, injuries, or fatalities. …”
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Multiscale Performance of Global Blended Satellite Precipitation Products Over Taiwan by Liping Wang, Haonan Chen, Zhe Li

“…The precipitation estimates produced from the operational Quantitative Precipitation Estimation and Segregation Using Multiple Sensors (QPESUMS) system are employed as ground-based reference data, and various statistical metrics are calculated against this reference grid by grid to evaluate the performance of CMORPH and IMERG at yearly, seasonal and daily scales. …”
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Advances in the application of digital technology in orthodontic monitoring by WANG Qi, LUO Ting, LU Wei, ZHAO Tingting, HE Hong, HUA Fang

“…Artificial intelligence technology has made initial strides in automating the identification of orthodontic tooth movement, associated complications, and patient compliance evaluation. Sensors are effective tools for monitoring patient adherence and providing data-driven support for clinical decision-making. …”
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The Implementation of Diverse Actuation System in ACPR1000 Nuclear Power Plants by Zhen-Ying Wang, Zhi-Yun Liu, Ting-Wei Ma, Chen Sun, Liu Liu, Yu Huang, Gang-Miao Guo

“…From economic and feasibility point of view, the solution of DAS sharing with RPMS sensors and actuators is suggested; after capturing the function requirement of DAS, the automatic functions and manual functions assigned to it are determined based on transient analysis of design basic accidents concurrent with software CCF of RPMS. …”
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Design of a Solar Powered Precision Irrigation System. by Othieno John Wangara

“…Improved soil moisture and plant sensors, and developing self-learning crop simulation frameworks that can be applied to evaluate adaptive decision support strategies related to irrigation. …”
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Utilizing a Wireless Radar Framework in Combination With Deep Learning Approaches to Evaluate Obstructive Sleep Apnea Severity in Home-Setting Environments by Lee KT, Liu WT, Lin YC, Chen Z, Ho YH, Huang YW, Tsai ZL, Hsu CW, Yeh SM, Lin HY, Majumdar A, Chen YL, Kuan YC, Lee KY, Feng PH, Chen KY, Kang JH, Lee HC, Ho SC, Tsai CY

“…However, both PSG and HSAT require that sensors be attached to a subject, which may disturb their sleep and affect the results. …”
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Characterising the short- and long-term impacts of tropical cyclones on mangroves using the Landsat archive by Emma Asbridge, Claire Krause, Richard Lucas, Christopher J. Owers, Kerrylee Rogers, Leo Lymburner, Norman Mueller, Emma Ai, Sebastian Wong

“…Improvements in Earth observation data, particularly satellite-based sensors and datacube environments, have enhanced capacity to classify time-series data and advanced landscape monitoring. …”
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Investigating the effect of synthetic cobalt and nickel oxide nanoparticles on the growth and physiology of Mungbean (Vigna radiata L.) seedlings, and exploring tunable magnetism s... by Anjali Joshi, Simranjeet Kaur, Pargat Singh, Havneet Singh, Keya Dharamvir, Harsh Nayyar, Gaurav Verma

“…This study highlights the feasibility of utilizing magnetic oxide nanoparticles to engineer bio-nano magnetic sensors for real-time monitoring of plant health and environmental parameters. …”
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Analysis of Uneven Settlement of Long-Span Bridge Foundations Based on SBAS-InSAR by Kaixuan Zhang, Weifo Xiao, Haojie Zhu, Shaowei Ning, Shenjiang Huang, Dongxing Jin, Rong A, Bhesh Raj Thapa

“…While traditional contact sensors provide reliable measurements, their deployment is labor-intensive and costly, especially for long-span bridges. …”
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High-Resolution Remote-Sensing Image-Change Detection Based on Morphological Attribute Profiles and Decision Fusion by Chao Wang, Hui Liu, Yi Shen, Kaiguang Zhao, Hongyan Xing, Haotian Wu

“…Experiments of multitemporal HRRS images from different sensors have shown that the proposed method outperforms the other advanced comparison CD methods, and the overall accuracy (OA) can reach more than 83.9%.…”
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Cross-modal feature interaction network for heterogeneous change detection by Zhiwei Yang, Xiaoqin Wang, Haihan Lin, Mengmeng Li, Mengjing Lin

“…Heterogeneous change detection involves identifying change areas using remote sensing images obtained from different sensors or imaging conditions. Recently, research has focused on feature space translation methods based on deep learning technology for heterogeneous images. …”
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Theoretical framework for measuring cloud effective supersaturation fluctuations with an advanced optical system by Y. Kuang, J. Tao, H. Xu, L. Liu, P. Liu, W. Xu, W. Xu, Y. Sun, C. Zhao

“…Although currently limited to clouds with supersaturations below <span class="inline-formula">∼</span> 0.2 % due to small scattering signals from sub-100 nm aerosols, advancements in optical sensors could extend its applicability. Its suitability for long-term measurements allows for climatological studies of fogs and mountain clouds. …”
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Implications of a Narrow Automated Vehicle-Exclusive Lane on Interstate 15 Express Lanes by Sahar Ghanipoor Machiani, Alidad Ahmadi, Walter Musial, Anagha Katthe, Benjamin Melendez, Arash Jahangiri

“…Given the difference between the operation of AVs and human-driven vehicles and reliance of AVs on sensors as opposed to human capabilities, the question is should we provide narrower AV-exclusive roadways assuming AVs are more precise in lateral and longitudinal lane keeping behaviour? …”
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Classifying Food Items During an Eating Occasion: A Machine Learning Approach with Slope Dynamics for Windowed Kinetic Data by Ileana Baldi, Corrado Lanera, Mohammad Junayed Bhuyan, Paola Berchialla, Luca Vedovelli, Dario Gregori

“…Background: Wearable devices equipped with a range of sensors have emerged as promising tools for monitoring and improving individuals’ health and lifestyle. …”
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Deep Learning-Based Glucose Prediction Models: A Guide for Practitioners and a Curated Dataset for Improved Diabetes Management by Saul Langarica, Diego de la Vega, Nawel Cariman, Martin Miranda, David C. Andrade, Felipe Nunez, Maria Rodriguez-Fernandez

“…This study harnesses physiological data collected from wearable sensors to construct a series of data-driven models based on deep learning approaches. …”
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