Personalizing Seizure Detection for Individual Patients by Optimal Selection of EEG Signals by Rosanna Ferrara, Martino Giaquinto, Gennaro Percannella, Leonardo Rundo, Alessia Saggese

“…The proposed approach ensures high reliability, even with small datasets, and improves interpretability for clinicians by overcoming the limitations of more complex methods. The tailored channel selection boosts detection accuracy and ensures robust performance across different seizure types while reducing the computational burden typical of multi-electrode systems. …”
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MSEANet: Multi-Scale Selective Edge Aware Network for Polyp Segmentation by Botao Liu, Changqi Shi, Ming Zhao

“…Nevertheless, achieving precise segmentation remains a significant challenge due to the high visual similarity between polyps and their backgrounds, blurred boundaries, and complex localization. To address these challenges, a Multi-scale Selective Edge-Aware Network has been proposed to facilitate polyp segmentation. …”
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Feature Selection Using Pearson Correlation for Ultra-Wideband Ranging Classification by Gita Indah Hapsari, Rendy Munadi, Bayu Erfianto, Indrarini Dyah Irawati

“…A systematic feature selection approach based on Pearson correlation is employed to identify the most relevant features from an open-source dataset, ensuring efficient classification while minimizing computational complexity. …”
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Application of Computer Simulation to Evaluate Performance Parameters of the Selective Soldering Process by Maciej Dominik, Marek Kęsek

“…The growing complexity of production systems in the technology sector demands advanced tools to ensure efficiency, flexibility, and cost-effectiveness. …”
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Quantum neural network-based approach for optimizing road network selection by Haohua Zheng, Heying Li, Jianchen Zhang, Guangxia Wang, Jianzhong Guo, Jiayao Wang

“…However, the expanding scale of road networks has led to concerns regarding model training efficiency and resource consumption. Quantum neural networks, leveraging their unique properties of superposition and entanglement, present remarkable advantages for handling large-scale, complex, and nonlinear data. …”
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Decision support framework for location selection and disaster relief network design by Giuseppe Timperio, Gajanan Bhanudas Panchal, Avinash Samvedi, Mark Goh, Robert De Souza

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Discovery of KRAS(G12D) selective degrader ASP3082 by Tomohiro Yoshinari, Takeyuki Nagashima, Hiroki Ishioka, Kohei Inamura, Yoshihiro Nishizono, Mamoru Tasaki, Kanako Iguchi, Atsushi Suzuki, Chikako Sato, Ayako Nakayama, Yasushi Amano, Yukihiro Tateishi, Yosuke Yamanaka, Fumio Osaki, Masayasu Yoshino, Kazuyuki Kuramoto, Tomoyoshi Imaizumi, Masahiko Hayakawa

“…Herein, we report the discovery and characterization of ASP3082, a KRAS(G12D)-selective degrader, and the crystal structure of the drug-induced ternary complex of KRAS(G12D)/ASP3082/VHL (von Hippel–Lindau). …”
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A Multiagent Decision-Making Model for Martian Landing Site Selection by Rong Wang, Yongjiu Feng, Panli Tang, Pengshuo Li, Yiyan Dong, Yusheng Xu, Chao Wang, Sicong Liu, Yanmin Jin, Shijie Liu, Xiaohua Tong

“…Selecting suitable landing sites on Mars remains one of the key challenges due to the complex terrain of Mars and the diverse scientific objectives in Mars exploration missions. …”
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An Integrated Algorithm with Feature Selection, Data Augmentation, and XGBoost for Ovarian Cancer by Jingxun Cai, Zne-Jung Lee, Zhihxian Lin, Chih-Hung Hsu, Yun Lin

“…With the rapid development of machine learning, numerous efficient classification prediction models have emerged. …”
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Software complex for simulation modelling of single nucleotide genetic polymorphism sites by M. M. Yatskou, D. D. Sarnatski, V. V. Skakun, V. V. Grinev

“…One of the key goals in this area is to develop efficient software tools for processing genomic data and identifying single nucleotide polymorphism sites using computer modelling and big data analysis methods.Methods. …”
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Pattern Recognition Methods and Features Selection for Speech Emotion Recognition System by Pavol Partila, Miroslav Voznak, Jaromir Tovarek

“…Selecting the correct parameters in combination with the classifier is an important part of reducing the complexity of system computing. …”
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Predicting Scattering From Complex Nano-Structures via Deep Learning by Yongzhong Li, Yinpeng Wang, Shutong Qi, Qiang Ren, Lei Kang, Sawyer D. Campbell, Pingjuan L. Werner, Douglas H. Werner

“…Recent advances in deep learning (DL) techniques have demonstrated superior efficiency and provide an alternative pathway for speeding up simulations by serving as effective computational tools. …”
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Topology optimization of plane trusses using the progressive directional selection method by Nayro Silva Noronha Cavalcante, Luiz Carlos Lima Véras, Márcio André Araújo Cavalcante

“…The topologies of the selected optimized structures efficiently support the applied loads and are similar to those obtained by other topological optimization methods found in the literature. …”
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Risk-based approach to choosing the production asset management strategy for energy company by V. M. Levin, N. P. Guzhov, D. A. Boyarova

“…The tasks in this direction are quite relevant.PURPOSE: To develop a unified methodology that, from the general standpoint of a risk-based approach, would allow comparing two alternative strategies for managing the assets of an energy company "by periodicity, operating time" and "by technical condition", according to a set of key criteria for the effectiveness of M&R.METHODS: When solving problems, methods of forming and adjusting schedules for repairs of electrical equipment, calculating reliability and probabilities of failure in the power supply system of consumers, taking into account its circuit features, assessing the technical condition of equipment according to non-destructive testing and diagnostics, comparing the costs of maintaining and restoring reliability and damages from its violations were used.RESULTS: A risk-oriented methodology has been developed and verified, which makes it possible to evaluate and select the optimal equipment maintenance strategy for the energy company according to uniform efficiency criteria. …”
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Water heaters low-voltage electrode with current supply complex shape by E. V. Ptitsyna, D. V. Ptitsyn, A. B. Kuvaldin

“…The mode with a power supply of a complex shape causes an increase in the efficiency of the electrode water heaters.…”
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Service Composition and Optimal Selection for Industrial Software Integration with QoS and Availability by Yangzhen Cao, Shanhui Liu, Chaoyang Li, Hongen Yang, Yuanyang Wang

“…To address the growing demand for industrial software in the digital transformation of small and medium-sized enterprises (SMEs) in the manufacturing sector, and to ensure the stable integration and operation of multi-source heterogeneous industrial software under complex conditions—such as heterogeneous compatibility, component dependencies, and uncertainty disturbances—this study established a comprehensive evaluation index system for service composition and optimal selection (SCOS). …”
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An Adaptive Finite Resolution Selection Scheme for RIS Assisted NOMA Networks by Shady M. Ibraheem, Mona Shokair, Mohamed E. Nasr, Nancy Alshaer

“…This paper presents an integration between RIS and NOMA to communicate with distant vehicular users. To alleviate the complexity of coherent phase shifting design at RIS, we propose a dynamic gain adaptation RIS selection scheme based on discrete phase shifting (i.e., termed as GADPS) to serve two vehicular users paired to perform NOMA. …”
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A Method for the Automatic Selection of Training Tasks in Learning Environment for IT Students by S. U. Rzheutskaya, M. V. Kharina

“…The research, the results of which are presented in this article, was carried out in order to activate and improve the efficiency of independent work of students in the information environment of learning by rational individual selection of training tasks. …”
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A Heuristic Algorithm for Optimal Service Composition in Complex Manufacturing Networks by Yinan Wu, Gongzhuang Peng, Hongwei Wang, Heming Zhang

“…It is challenged by the inherent heterogeneity and complexity of these services in terms of their diverse and complex functions, qualities of service, execution paths, etc. …”
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Image-based maturity detection for selective cauliflower harvesting in field condition by Ajay Kushwah, P.K. Sharma, H.L. Kushwaha, Brij Bihari Sharma, Naseeb Singh, Ramineni Harsha Nag, Manojit Chowdhury, Nrusingh Charan Pradhan, Gopal Carpenter, Silpa Mandal, Ali Salem

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