Hyperspectral Image-Based Identification of Maritime Objects Using Convolutional Neural Networks and Classifier Models by Dongmin Seo, Daekyeom Lee, Sekil Park, Sangwoo Oh

“…Hyperspectral data from six ports in South Korea were collected using airborne sensors and subsequently processed into spectral statistics and RGB images. …”
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Curcumin Is an Iconic Ligand for Detecting Environmental Pollutants by T. Devasena, N. Balasubramanian, Natarajan Muninathan, Kuppusamy Baskaran, Shani T. John

“…This review clearly shows that curcumin is an ideal candidate for developing and validating nanomaterials-based sensors for the detection of environmental pollutants such as arsenic, lead, mercury, boron, cyanide, fluoride, nitrophenol, trinitrotoluene, and picric acid and toxic gases such as ammonia and hydrogen chloride. …”
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Chladni and Fractal Dynamics: Dual Mode Marker to Map Cancer Cell Nucleus Disintegration Phases by Parama Dey, Anup Singhania, Ajaikumar B. Kunnumakkara, Subrata Ghosh, Anirban Bandyopadhyay

“…We introduced PCMS, a 26 kDa supramolecule combining sensors (S), molecular motors (M), and switching molecules (C), integrated within a fourth-generation PAMAM structure (P). …”
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A 2D Nested Array Based DOA Estimator for Incoherently Distributed Sources via Sparse Representation Utilizing L1-Norm by Tao Wu, Yiwen Li, Zhengxin Li, Yijie Huang, Jiwei Xu

“…Nested arrays are sparse arrays composed of subarrays with nonuniform sensor spacing. Compared with traditional uniform arrays, nested arrays have more degree of freedoms (DOFs) and larger apertures. …”
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Bridging the Gap in the Adoption of Trustworthy AI in Indian Healthcare: Challenges and Opportunities by Sarat Kumar Chettri, Rup Kumar Deka, Manob Jyoti Saikia

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Remaining Useful Life Prediction Techniques of Electric Valves for Nuclear Power Plants with Convolution Kernel and LSTM by Hang Wang, Min-jun Peng, Yong-kuo Liu, Shi-wen Liu, Ren-yi Xu, Hanan Saeed

“…The data for sensing valve conditions were gathered during aging experiments through acoustic emission sensors. During data processing, convolution kernel integrated with LSTM is utilized for feature extraction. …”
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Efficient recognition of Parkinson’s disease mice on stepping characters with CNN by Yunsong Luo, Yiqi Huang, Guangzhan Fang, Ningping Tan, Yezhong Tang

“…To this end, we constructed an open-field environment using flexible sensors under dark conditions, conducting experiments on a mouse model of Parkinson’s disease alongside a normal control group. …”
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A Feasibility Study on Utilizing Remote Sensing Data to Monitor Grape Yield and Berry Composition for Selective Harvesting by Leeko Lee, Andrew Reynolds, Briann Dorin, Adam Shemrock

“…For yield and berry composition data collection, representative vines from the vineyard block were selected and geolocated, and the same vines were surveyed for remote sensing data collection by the multispectral and thermal sensors in the RPAS in 2015 and 2016. The spectral reflectance data were further analyzed for vegetation indices to evaluate the correlation between the variables. …”
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An Integrated Framework for Mapping Nationwide Daily Temperature in China by Shaobo Zhong, Xinlan Ye, Mingxing Wang, Xin Mei, Dunjiang Song, Wenhui Wang

“…Nowadays, land surface temperature (Ts) measurements can be obtained from some satellite sensors (e.g., MODIS), further enabling us to estimate Ta in view of the relationship between Ta and Ts. …”
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Empirical modeling potential transfer of land cover change pa city with neural network algorithms by fatemeh mohammadyary, hamidreza pourkhabbaz, hossin aghdar, morteza Tavakoly

“…Analysis and visibility of user variations, carried out in two periods of Landsat satellite images of 2000 (ETM + sensor) and 2014 (OLI sensors), and land cover maps for each year. …”
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Analysis of tire contact stresses and asphalt pavement rutting under gradient temperature and typical driving conditions by Minrui Guo, Pei Liu, Wei Feng, Xiangwen Li, Haitao Ge

“…Secondly, a comparative analysis was conducted by collating the predicted deformations obtained through finite element analysis with the deformations measured in laboratory experiments using specialized sensors. Finally, the rutting analysis process under triaxial contact stresses during typical driving conditions is established. …”
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Real-Time Capable Thermal Model of an Automotive Permanent Magnet Synchronous Machine by Martin Stefan Baumann, Andreas Steinboeck, Wolfgang Kemmetmuller, Andreas Kugi

“…Installing temperature sensors on all critical parts would incur too much cost. …”
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Design of Network and Pole for Meeting Lighting, Communication, and Energy Needs from a Single Source in Disasters by Levent Aksoy, İlknur Yardımcı Coşkun

“…The pole incorporates various energy generation methods, data transmission options, wireless access points, mobile charging stations, sensors, and IoT devices. This design is expected to play a crucial role in meeting the basic needs of disaster survivors both during and after a disaster. …”
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The role of transposable elements in the ecological morphogenesis under the influence of stress by R. N. Mustafin, E. K. Khusnutdinova

“…In natural selection, insertional mutagenesis is an important source of genome variability. Transposons are sensors of environmental stress effects, which contribute to adaptation and speciation. …”
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Large-Scale Model Testing of High-Speed Railway Subgrade under Freeze-Thaw and Precipitation Conditions by Shasha Zhang, Yantao Wang, Fei Xiao, Weizhi Chen

“…First, several temperature sensors were buried vertically in the ground of a typical section, and the temperature at different depths was monitored for nearly one year and analysed dynamically. …”
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Interoception, cardiac health, and heart failure: The potential for artificial intelligence (AI)—driven diagnosis and treatment by Mahavir Singh, Anmol Babbarwal, Sathnur Pushpakumar, Suresh C. Tyagi

“…AI‐driven technologies such as remote monitoring devices and wearable sensors enable the monitoring of patients' health. …”
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Magnetic-Field-Orientation Dependent Magnetoelectric Effect in FeBSiC/PZT/FeBSiC Composites by Jun-Xian Ye, Jia-Mian Hu, Zhan Shi, Zheng Li, Yang Shen, Jing Ma, C. W. Nan

“…The simulation results match well the experimental measurements, demonstrating the applicability of the ME laminates-based sensors in detecting magnetic-fields with uncertain amplitudes and/or orientations in environment.…”
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Condition Recognition of High-Speed Train Bogie Based on Multi-View Kernel FCM by Qi Rao, Yan Yang, Yongquan Jiang

“…Multi-channel vibration signals are collected by sensors installed on bogies and beneficial information are extracted to determine the running condition. …”
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The zoning of the relative morphotectonic activity of the Kan-Soleghan basin with an emphasis on the location of the Tehran-North Freeway tunnel by sara Kiani, Amir Karam, Nasrin Hoseinaei

“…In the present study, topographic Map 1:50000 and digital elevation (DEM) maps with 30 m spatial resolution (ASTER sensors), the boundary layer of the basin, were used to calculate morphometric indices. …”
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Fine-grained vehicle recognition under low light conditions using EfficientNet and image enhancement on LiDAR point cloud data by Guanqiang Ruan, Tao Hu, Chenglin Ding, Kuo Yang, Fanhao Kong, Jinrun Cheng, Rong Yan

“…Abstract The detection and recognition of vehicles are crucial components of environmental perception in autonomous driving. Commonly used sensors include cameras and LiDAR. The performance of camera-based data collection is susceptible to environmental interference, whereas LiDAR, while unaffected by lighting conditions, can only achieve coarse-grained vehicle classification. …”
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