Adapted Swin Transformer-based real-time plasma shape detection and control in HL-3 by Qianyun Dong, Zhengwei Chen, Rongpeng Li, Zongyu Yang, Feng Gao, Yihang Chen, Fan Xia, Wulyu Zhong, Zhifeng Zhao

“…Specifically, the well-trained PST model capably infers R and Z within the mean average error below 1.1 cm and 1.8 cm, respectively, while requiring less than 2 ms for end-to-end feedback, an 80% improvement over the smallest Swin Transformer model, laying the foundation for real-time control. …”
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Day-Ahead Complementary Operation for a Wind-Hydro-Thermal System Considering Multi-Dimensional Uncertainty by Xiaoyu Shi, Rong Jia, Qiang Huang, Guohe Huang, Xuewen Lei, Jiangfeng Li, Bo Ming, Zeqian Zhao, Le Li

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Cross-sectional and longitudinal Biomarker extraction and analysis for multicentre FLAIR brain MRI by J. DiGregorio, A. Gibicar, H. Khosravani, P. Jabehdar Maralani, J.-C. Tardif, P.N. Tyrrell, A.R. Moody, A. Khademi

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Integration of the vegetation phenology module improves ecohydrological simulation by the SWAT-Carbon model by M. Li, S. Chen, F. Hao, N. Wang, Z. Wu, Y. Xu, J. Zhang, Y. Zhang, Y. H. Fu

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Improved and Optimized GNSS-IR Sea Surface Height Retrieval Based on Noise Elimination and Lightweight Airborne Multi-GNSS Multi-UAV Fusion by Naiquan Zheng, Ying Xu, Fuxi Zhao, Mingzhen Xin, Fanlin Yang

“…It is urgent to carry out high-precision inversion research of GNSS-IR sea surface height on UAV telemetry platforms equipped with GNSS receivers and lightweight receiver antennas. …”
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Magnetic Activities of Wolf 359: Starspot Distribution and Quasiperiodic Pulsation Using TESS Data by Diya Ram, Soumen Mondal, Samrat Ghosh, Rajib Kumbhakar

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River total dissolved gas prediction using a hybrid greedy-stepwise feature selection and bidirectional long short-term memory model by Khabat Khosravi, Salim Heddam, Changhyun Jun, Sayed M. Bateni, Dongkyun Kim, Essam Heggy

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Fluvial bedload transport modelling: advanced ensemble tree-based models or optimized deep learning algorithms? by Khabat Khosravi, Aitazaz A. Farooque, Sayed M. Bateni, Changhyun Jun, Dorsa Mohammadi, Zahra Kalantari, James R. Cooper

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GastroEndoNet: Comprehensive endoscopy image dataset for GERD and polyp detectionMendeley Data by Abu Kowshir Bitto, Md. Hasan Imam Bijoy, Kamrul Hassan Shakil, Aka Das, Khalid Been Badruzzaman Biplob, Imran Mahmud, Syed Md. Minhaz Hossain

“…However, manual interpretation of endoscopic images is time-consuming and prone to human error, highlighting the need for automated diagnostic tools. …”
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Prediction of insulin resistance using multiple adaptive regression spline in Chinese women by Shih-Peng Mao, Chen-Yu Wang, Chi-Hao Liu, Chung-Bao Hsieh, Dee Pei, Ta-Wei Chu, Yao-Jen Liang

“…MARS results in smaller prediction errors than traditional multiple linear regression (MLR) methods, and is thus more accurate. …”
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Evaluation of Grain Yield Stability of Lentil Genotypes using Non-Parametric Statistics and AMMI Analysis by Amin Namdari, Payam Pezeshkpoor, Mohammad Barzali, Asghar Mehraban, Amir Mirzaie, Mostafa Haghpanah

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IMERG-Like Precipitation Retrieval From Geo-Kompsat-2A Observations Using Conditional Generative Adversarial Networks by Kyung-Hoon Han, Jaehoon Jeong, Sungwook Hong

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Design of an improved graph-based model integrating LSTM, LoRaWAN, and blockchain for smart agriculture by Ravi Kumar Munaganuri, Narasimha Rao Yamarthi, Sai Chandana Bolem

“…This research is anchored on the burning need for irrigation optimization and crop water use efficiency improvement, which remains a challenge in smart agriculture processes. …”
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Optimizing Bundle Block Adjustment for High-Overlap Small-Format Multi-Head Camera Systems by T. Bannakulpiphat, T. Bannakulpiphat, W. Karel, C. Ressl, N. Pfeifer

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Performance of a Non-Invasive System for Monitoring Blood Glucose Levels Based on Near-Infrared Spectroscopy Technology (<i>Glucube^®</i>) by Fernando Gómez-Peralta, Luis Gabriel Luque Romero, Antonio Puppo-Moreno, Jesús Riesgo

“…Its promising capabilities support further research.…”
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Automated Stock Volume Estimation Using UAV-RGB Imagery by Anurupa Goswami, Unmesh Khati, Ishan Goyal, Anam Sabir, Sakshi Jain

“…The results highlight a strong exponential correlation between crown area and stem stock volume, with a coefficient of determination of 0.67 and mean squared error (MSE) of 0.0015. The developed model, when applied to estimate cumulative stock volume using drone imagery, demonstrated a strong correlation with an R² of 0.75. …”
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Automated Audit and Self-Correction Algorithm for Seg-Hallucination Using MeshCNN-Based On-Demand Generative AI by Sihwan Kim, Changmin Park, Gwanghyeon Jeon, Seohee Kim, Jong Hyo Kim

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Adaptation and validation of a Rwanda-focused version of the Alcohol Use Disorder Identification Test (AUDIT). by Noah Rosenberg, Mia Buono, Vincent Ndebwanimana, Joseph Niyonzima, Roland C Merchant, Aly Beeman, Catherine A Staton, Joao Ricardo Nickenig Vissoci

“…Internal structure was assessed using one-, two- and three-dimensional models of fit and confirmatory factor analysis (CFA), assessed by Chi-square (χ2), Root Mean Square Error of Approximation (RMSEA), Tucker-Lewis index (TLI) and comparative fit index (CFI). …”
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Image-Based Detection and Classification of Malaria Parasites and Leukocytes with Quality Assessment of Romanowsky-Stained Blood Smears by Jhonathan Sora-Cardenas, Wendy M. Fong-Amaris, Cesar A. Salazar-Centeno, Alejandro Castañeda, Oscar D. Martínez-Bernal, Daniel R. Suárez, Carol Martínez

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Comprehensive Monitoring of Construction Spoil Disposal Areas in High-Speed Railways Utilizing Integrated 3S Techniques by Xiaodong Hu, Bo Xia, Yongqi Guo, Yang Yin, Huihua Chen

“…The results demonstrate that the framework can accurately delineate disturbance boundaries, efficiently extract soil and water conservation measures, and estimate dynamic changes in spoil volume with an acceptable error margin (15.5%). These findings highlight the framework’s capability to enhance monitoring accuracy and efficiency. …”
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