High-resolution (10 m) dataset of multi-crop planting structure on the Loess Plateau during 2018–2022 by Xining Zhao, Jichao Wang, Yelu Ding, Xiaodong Gao, Changjian Li, Hongwei Huang, Xuerui Gao

“…To address this gap, this study aims to generate a high-resolution (10 m) crop planting pattern dataset for the Loess Plateau from 2018 to 2022. The research methodology involved four key steps: (1) Enhancing the sample dataset using phenological indices and the Dynamic Time Warping (DTW) algorithm; (2) Identifying crop planting intensity based on phenological growth curves; (3) Developing independent random forest classifiers tailored to agricultural climate zones; and (4) Constructing an optimal feature subset for crop classification. …”
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Hand-aware graph convolution network for skeleton-based sign language recognition by Juan Song, Huixuechun Wang, Jianan Li, Jian Zheng, Zhifu Zhao, Qingshan Li

“…Skeleton-based sign language recognition (SLR) is a challenging research area mainly due to the fast and complex hand movement. …”
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Enhancing deadlift training through an artificial intelligence-driven personal coaching system using skeletal analysis by Bolganay Kaldarova, Aigerim Toktarova, Rustam Abdrakhmanov

“…While the study demonstrates significant potential, it also identifies areas for future research, including algorithm refinement, dataset expansion, and integration of additional metrics and technologies. …”
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Influence of Solid-Liquid Two-Phase Flow on Pressure Pulsation Characteristics in Axial Flow Pump Unit by GUO Chu, WANG Danna, ZHANG Tao, WU Yue, ZHENG Yuan

“…Based on Euler multiphase model, RNG <italic>k</italic>-<italic>ε </italic>turbulence model, and SIMPLEC algorithm, a numerical simulation of solid-liquid two-phase flow in an axial flow pump was carried out to study the pressure fluctuation characteristics of the axial flow pump when transporting a sediment-laden flow. …”
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Techniques for Accelerometer Reading Processing on Railway Transport Using Wavelet Transform by A. M. Boronakhin, A. V. Bolshakova, D.  M. Klionskiy, D. Yu. Larionov, R. V. Shalymov

“…The research encompassed wavelet transformation and wavelet-based signal processing including discrete-time signal processing and continuous wavelet processing. …”
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An Ensemble Learning Model for Short-Term Passenger Flow Prediction by Xiangping Wang, Lei Huang, Haifeng Huang, Baoyu Li, Ziyang Xia, Jing Li

“…Finally, the prediction results of the submodels are compared with those of the integrated model to verify the superiority of the integrated model. The research results of this paper can enrich the short-term passenger flow forecasting system of urban public transportation and provide effective data support and scientific basis for the passenger flow, vehicle management, and dispatch of urban public transportation.…”
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Cutting guides in mandibular tumor ablation: Are we as accurate as we think? by Omar Suhaym, Loren Moles, Nicholas Callahan

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DOG: An Object Detection Adversarial Attack Method by Jinpeng Li, Xiaoyu Ji, Wenyuan Xu, Yushi Cheng

“…By constructing a specialized loss function, the algorithm can iteratively generate adversarial noise, enabling the rapid production of adversarial examples with high attack and transfer rates. …”
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First results of acoustic tags using for studies of migrations of siberian taimen Huho taimen (Salmonidae) in the Tugur River basin (northwestern Okhotsk Sea) by S. E. Kulbachnyi, N. V. Kolpakov, O. A. Kudrevskyi

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Riemannian Manifolds for Biological Imaging Applications Based on Unsupervised Learning by Ilya Larin, Alexander Karabelsky

“…Computer vision methods are still not widely used in biological research, despite their importance. It is time to recognize the significance of advances in feature extraction and real-time analysis of information from cells. …”
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Dynamic Comparative Assessment of Long-Term Simulation Strategies for an Off-Grid PV–AEM Electrolyzer System by Roberta Caponi, Domenico Vizza, Claudia Bassano, Luca Del Zotto, Enrico Bocci

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Multitarget Vehicle Tracking and Motion State Estimation Using a Novel Driving Environment Perception System of Intelligent Vehicles by Yuren Chen, Xinyi Xie, Bo Yu, Yi Li, Kunhui Lin

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Aboveground biomass estimation using multimodal remote sensing observations and machine learning in mixed temperate forest by Shashika Himandi Gardeye Lamahewage, Chandi Witharana, Rachel Riemann, Robert Fahey, Thomas Worthley

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Best practices in the laboratory diagnosis, prognostication, prediction, and monitoring of Graves’ disease: role of TRAbs by Sanjay Kalra, Shahjada Selim, Dina Shrestha, Noel Somasundaram, Syed Abbas Raza, Manash P. Baruah, Saptarshi Bhattacharya, Sharvil Gadve, Ganapathi Bantwal, Rakesh Sahay

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Optimization Strategy of a Stacked Autoencoder and Deep Belief Network in a Hyperspectral Remote-Sensing Image Classification Model by Xiaoai Dai, Junying Cheng, Shouheng Guo, Chengchen Wang, Ge Qu, Wenxin Liu, Weile Li, Heng Lu, Youlin Wang, Binyang Zeng, Yunjie Peng, Shuneng Liang

“…Finally, the SAE was further optimized by adding sparse representation constraints and GPU parallel computation to improve classification accuracy and speed. The research results show that the SAE enhanced by deep learning is superior to the traditional feature extraction algorithm. …”
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Cold Coastal City Neighborhood Morphology Design Method Based on Multi-Objective Optimization Simulation Analysis by Sheng Xu, Peisheng Zhu, Fei Guo, Duoduo Yan, Shiyu Miao, Hongchi Zhang, Jing Dong, Xianchao Fan

“…The effectiveness of this optimization strategy is verified through empirical research on typical coastal neighborhoods in Dalian. …”
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Schools food waste audit as the criteria for evaluating the quality of school meals by Anna V. Stol

“…As a result of the analysis of the accumulated experience of food waste audits and approaches to waste minimization, an algorithm for conducting an audit is proposed, which may have different goals depending on who conducts it. …”
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Identifying Heart Attack Risk in Vulnerable Population: A Machine Learning Approach by Subhagata Chattopadhyay, Amit K Chattopadhyay

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Comparative effects of metformin and varying intensities of exercise on miR-133a expression in diabetic rats: Insights from machine learning analysis by Elahe Alivaisi, Sabrieh Amini, Karimeh Haghani, Hori Ghaneialvar, Fatemeh Keshavarzi

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High voltage direct current system-based generation and transmission expansion planning considering reactive power management of AC and DC stations by Ehsan Akbari, Ahad Faraji Naghibi, Mehdi Veisi, Sasan Pirouzi, Sheila Safaee

“…The Red Panda Optimization (RPO) is utilized to solve the provided model in order to attain a dependable and optimal solution. This research focuses on several advances, including the planning of the HVDC power system, the regulation of reactive power in HVDC substations, and the resolution of related issues using the RPO algorithm. …”
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