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. …”
Get full text

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). …”
Get full text

TFC: A Series of Band Selection Methods for Hyperspectral Target Detection by Qianghui Wang, Xikui Miao, Enze Guo, Tao Zhao

“…The abundant spectral information provided by hyperspectral images (HSIs) greatly benefits target detection (TD), but it introduces a large amount of data redundancy, which greatly increases the complexity of data processing. Band selection (BS) is an important preprocessing step for HSI applications, and it plays an important role in reducing data volume and improving processing efficiency. …”
Get full text

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

Get full text

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

Get full text

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. …”
Get full text

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

“…Once ovarian cancer reaches an advanced stage, the complexity and difficulty of treatment increase substantially, affecting patient survival rates. …”
Get full text

Software complex for simulation modelling of single nucleotide genetic polymorphism sites by M. M. Yatskou, D. D. Sarnatski, V. V. Skakun, V. V. Grinev

“…A software complex has been developed for simulation modelling and identification of single nucleotide polymorphism sites using machine learning methods. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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. …”
Get full text

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). …”
Get full text

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. …”
Get full text

Decision support framework for location selection and disaster relief network design by Giuseppe Timperio, Gajanan Bhanudas Panchal, Avinash Samvedi, Mark Goh, Robert De Souza

Get full text

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. …”
Get full text

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

Get full text

LINKING MARKETING AND HUMAN RESOURCES RECRUITMENT TO OBTAIN ORGANIZATIONAL EFFICIENCY by Nicoleta Valentina FLOREA

Get full text

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.…”
Get full text

Proteomics approaches – their potential for answering complex questions in meat science research by Elisabeth Huff-Lonergan, Steven M. Lonergan

“…New information can be used to make precise changes in management or genetic selection to improve the ability to efficiently produce the high-quality meat that customers and consumers expect. …”
Get full text