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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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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An Efficient Sentiment Classification Method with the Help of Neighbors and a Hybrid of RNN Models by Israa K. Salman Al-Tameemi, Mohammad-Reza Feizi-Derakhshi, Saeed Pashazadeh, Mohammad Asadpour

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An Efficient 3D Model Retrieval Method Based on Convolutional Neural Network by Bo Ding, Lei Tang, Yong-jun He

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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

“…This framework increases the viability of the design and analysis of complex nanostructures, offering great potential for applications pertaining to complex light-matter interaction between electromagnetic fields and nanomaterials.…”
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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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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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Hybrid Methods for Selecting Precast Concrete Suppliers Based on Factory Capacity by Mohammed I. Aldokhi, Khalid S. Al-Gahtani, Naif M. Alsanabani, Saad I. Aljadhai

“…Supplier selection is one of the critical processes that entail multiple complex deliberations. …”
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Transportation Mode Selection Using Reinforcement Learning in Simulation of Urban Mobility by Mehmet Bilge Han Taş, Kemal Özkan, İnci Sarıçiçek, Ahmet Yazici

“…Given the complex dynamics of urban mobility, strategically selecting a transportation mode can significantly mitigate delays and enhance overall productivity in densely populated areas. …”
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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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A Decision Support System for Optimal Building Cold Source Selection by Qing Li, Yan Dong, Rong-Guang Cao, Le Li, Zhi-Bin Chen

“…It also confirms that the proposed decision support system can identify the modes with the highest value coefficients, which is one of the most effective methods for selecting a building cold source system scheme. …”
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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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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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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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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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