Nonnegative matrix factorization with Wasserstein metric-based regularization for enhanced text embedding. by Mingming Li, Xingjie Wang, Chunhua Li, Anping Zeng

“…Text embedding plays a crucial role in natural language processing (NLP). …”
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Impact of ITH on PRAD patients and feasibility analysis of the positive correlation gene MYLK2 applied to PRAD treatment by Chuanyu Ma, Chuanyu Ma, Guandu Li, Xiaohan Song, Xiaochen Qi, Tao Jiang

“…In vitro experiments verified that MYLK2 plays an important role in the proliferation and migration of PRAD. …”
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Statistical and density-based clustering techniques in the context of anomaly detection in network systems: A comparative analysis by Aleksandr S. Baklashov, Dmitry S. Kulyabov

“…Anomaly detection plays a crucial role in ensuring net security and safeguarding data against cyberattacks. …”
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A Powerful Approach in Visualization: Creating Photorealistic Landscapes with AI by Gusztáv Jakab, Enikő Magyari, Benedek Jakab, Gábor Timár

“…Landscape visualization plays a crucial role in various scientific and artistic fields, including geography, environmental sciences, and digital arts. …”
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Accelerating RRT* convergence with novel nonuniform and uniform sampling approach by Sivasankar Ganesan, Mohanraj Thangamuthu, Balakrishnan Ramalingam, Madan Mohan Rayguru, Sethu Narayanan Tamilselvan

“…The proposed RRT*-NUS method is evaluated against six baseline algorithms: RRT*, Informed RRT*, RRT*-N (normal sampling RRT*), GS-RRT* (goal-oriented sampling RRT*), DR-RRT* (directional random sampling RRT*), and hybrid-RRT* in three different 384*384 2D simulation scenarios. …”
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Efficient Explainable Models for Alzheimer’s Disease Classification with Feature Selection and Data Balancing Approach Using Ensemble Learning by Yogita Dubey, Aditya Bhongade, Prachi Palsodkar, Punit Fulzele

“…Clinical data, including a range of cognitive, functional, and demographic variables, play a crucial role in Alzheimer’s disease classification. …”
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Social facilitation within immersive virtual reality enhances perseverance in stroke rehabilitation training by Christos Hadjipanayi, Dimitris Sokratous, Dimitris Sokratous, Christos Kyrlitsias, Domna Banakou, Domna Banakou, Despina Michael-Grigoriou

“…Participants engaged in a VR-based upper limb exergame under two conditions: playing alone and playing alongside with a virtual agent, acting as a second-player, controlled by a rule-based algorithm. …”
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A review of lightweight convolutional neural networks for ultrasound signal classification by Bokun Zhang, Zhengping Li, Yuwen Hao, Lijun Wang, Xiaoxue Li, Yuan Yao

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PNSS: An online plant name service system by Qiu Jinshui, Zhang Jianwen, Jin Tao, Zhuang Huifu

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PSA-Optimized Compressor Speed Control Strategy of Electric Vehicle Thermal Management Systems by Kun Xia, Lianglu Yu, Jingxia Wang, Wei Yu

“…The thermal management system (TMS) of electric vehicles (EVs) plays a pivotal role in vehicle performance, driving range, battery lifespan, and passenger comfort. …”
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Multi-Signal Induction Motor Broken Rotor Bar Detection Based on Merged Convolutional Neural Network by Tianyi Wang, Shiguang Wen, Shaotong Sheng, Huimin Ma

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Review on Key Technologies for Autonomous Navigation in Field Agricultural Machinery by Hongxuan Wu, Xinzhong Wang, Xuegeng Chen, Yafei Zhang, Yaowen Zhang

“…Autonomous navigation technology plays a crucial role in advancing smart agriculture by enhancing operational efficiency, optimizing resource utilization, and reducing labor dependency. …”
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Methodological Basis and Experience of Using Data Mining Methods in Trade by D. T. Kaiyp, M. G. Zhartybayeva, Zh. O. Oralbekova

“…As a result, scenarios of computer applications were created as a sample of the practical implementation of the algorithms of these methods. Building a quantitative trading strategy requires first statistical analysis of the information in the market and then testing the quantitative model on the collected data. …”
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MS3OSD: A Novel Deep Learning Approach for Oil Spills Detection Using Optical Satellite Multisensor Spatial-Spectral Fusion Images by Kai Du, Yi Ma, Zhongwei Li, Rongjie Liu, Zongchen Jiang, Junfang Yang

“…Optical remote sensing technology plays a crucial role in monitoring marine oil spills. …”
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SCCA-YOLO: Spatial Channel Fusion and Context-Aware YOLO for Lunar Crater Detection by Jiahao Tang, Boyuan Gu, Tianyou Li, Ying-Bo Lu

“…Lunar crater detection plays a crucial role in geological analysis and the advancement of lunar exploration. …”
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Role of mass spectrometry-based serum proteomics signatures in predicting clinical outcomes and toxicity in patients with cancer treated with immunotherapy by Young Kwang Chae, Emma Yu, Na Hyun Kim, Min Jeong Kim, Leeseul Kim, Hyung-Gyo Cho, Yeonggyeong Park, Yoonhee Choi, Seung Pyo Daniel Hong

“…Thus, mass spectrometry-based serum proteomics signatures play an important role in predicting clinical outcomes and toxicity.…”
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Disentangling High-Paced Alternating I/O in Gaze-Based Interaction by Yulia G. Shevtsova, Artem S. Yashin, Sergei L. Shishkin, Anatoly N. Vasilyev

“…By applying machine learning algorithms to gaze features and action context information, we achieved a threefold reduction in false positives, improved the quality of in-game decisions, and increased participant satisfaction with system ergonomics. …”
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Developmental experience of the geoinformation system for floodplain lands of the Don basin by D. A. Solodovnikov, S. S. Shinkarenko, N. M. Khavanskaya, N. A. Kukushkina

“…The work describes the experience of developing a geographic information system for the floodplain lands of the Don basin. …”
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A Comprehensive Survey of Super-Resolution Remote Sensing Image Datasets: Evolution, Challenges, and Future Directions by Anh Vu-Duc, Khang Nguyen-Vi, Bao Bui-Quoc, Nidal Kamel

“…Despite significant progress in SR algorithms—particularly those driven by deep learning—the supporting datasets have received comparatively little attention. …”
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Role of еlectromyography in assessing prognosis for children with obstetric brachial plexus injury in practice of a specialized center by M. L. Novikov, D. S. Druzhinin, V. A. Bulanova, T. E. Torno

“…We found out that the most crucial role in assessing prognosis plays an examination of motor unit potentials (MUPs) duration. …”
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