Accurate prediction of protein–ligand interactions by combining physical energy functions and graph-neural networks by Yiyu Hong, Junsu Ha, Jaemin Sim, Chae Jo Lim, Kwang-Seok Oh, Ramakrishnan Chandrasekaran, Bomin Kim, Jieun Choi, Junsu Ko, Woong-Hee Shin, Juyong Lee

“…The benchmark results using the LIT-PCBA set further confirmed its higher average enrichment factors, emphasizing the model’s efficiency and generalizability. The model’s efficiency was further validated by identifying 23 active compounds from 63 candidates in experimental screening for autotaxin inhibitors, demonstrating its practical applicability in hit discovery. …”
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Enhanced Fault Detection in Satellite Attitude Control Systems Using LSTM-Based Deep Learning and Redundant Reaction Wheels by Sajad Saraygord Afshari

“…The results confirm achieving performance metrics such as Mean Squared Error for accurate fault identification. This research underscores a stride in the evolution of fault detection and control strategies for satellite attitude control systems, holding promise to boost the reliability and efficiency of future space missions.…”
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Small target detection algorithm based on SAHI-Improved-YOLOv8 for UAV imagery: A case study of tree pit detection by Xiuhao Liang, Jun Xiang, Sheng Qin, Yundan Xiao, Lifen Chen, Dongxia Zou, Honglun Ma, Dong Huang, Yongxin Huang, Wei Wei

“…To address these challenges, this paper proposes a small target detection algorithm based on SAHI-ImprovedYOLOv8 for detecting tree pits, which includes Slicing Aided Hyper Inference (SAHI), Focal loss, Spatial Pyramid Pooling Concurrent Spatial Pyramid Convolution (SPPCSPC), and Convolutional Block Attention Module (CBAM). The accuracy of identification and positioning can be improved by using the SAHI via cutting high-resolution UAV imagery into slices that match the detection model, avoiding the loss of small target detail caused by direct downsampling. …”
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Research on agricultural disease recognition methods based on very large Kernel convolutional network-RepLKNet by Guoquan Pei, Xueying Qian, Bing Zhou, Zigao Liu, Wendou Wu

“…With the rapid advancement of deep learning, the accuracy and efficiency of plant disease identification have substantially improved. …”
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Module Partition of Mechatronic Products Based on Core Part Hierarchical Clustering and Non-Core Part Association Analysis by Shuai Wang, Yi-Fei Song, Guang-Yu Zou, Jia-Xiang Man

“…The structure of mechanical and electrical products is very complex, which is not conducive to the establishment of a model, and complex structural models lead to low efficiency and poor accuracy of module identification. …”
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YOLOv9: A High-Performance Deep Learning Approach for Asphalt Pavement Distresses Detection in Roadway Images by Fahrizal, Siti Nurjanah, Yoan Purbolingga, Dila Marta Putri, Asde Rahmawati, Bastul Wajhi Akramunnas, Muhidin Arifin

“…YOLOv9 excels in efficiency, accuracy, and computational speed compared to its predecessors. …”
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Designing a Visual Analytics Tool to Support Data Analysis Tasks of Digital Mental Health Interventions: Case Study by Gyuwon Jung, Heejeong Lim, Kyungsik Han, Hyungsook Kim, Uichin Lee

“…As DHIs grow, the proposed model and tool can effectively meet the data analysis requirements of researchers and improve efficiency.…”
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Enhanced photocatalytic degradation of Rhodamine B using polyaniline-coated XTiO3(X = Co, Ni) nanocomposites by Mariyem Abouri, Abdellah Benzaouak, Mohamed Elouardi, Lahcen El Hamdaoui, Fatima Zaaboul, Khalil Azzaoui, Belkheir Hammouti, Rachid Sabbahi, Shehdeh Jodeh, Mohammed Alaoui El Belghiti, Adnane El Hamidi

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Una red neuronal binaria para la identificación de mecanismos isomorfos. // A binary Neural network for identifying isomorphic mechanisms. by G. Galán Marín, J. M. del Castillo Granados

“…<br />Since 1960, a lot of methods have been proposed for the graph isomorphism identification. Some authors have<br />concluded that, in the general case, the traditional methods of detecting kinematic chain isomorphism have<br />been not found to be an efficient solution of the kinematic chain isomorphism problem, classified as NP-hard.…”
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Information and Communication Technologies (ICT) for the intelligent operation of building energy systems: design, implementation and evaluation in a living lab by Florian Redder, Philipp Althaus, Eziama Ubachukwu, Maximilian Mork, Sascha Johnen, Christian Küpper, Paul Lieberenz, Marieluise Oden, Lidia Westphal, Thomas Storek, André Xhonneux, Dirk Müller

“…Abstract Successful adaptation to climate change requires resilient, reliable, and efficient energy systems. To unlock energy efficiency potentials in buildings, an intelligent, user-centered approach is vital. …”
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Enhancement of efferocytosis through biased FPR2 signaling attenuates intestinal inflammation by Ming‐Yue Wu, Yun‐Jun Ge, Er‐Jin Wang, Qi‐Wen Liao, Zheng‐Yu Ren, Yang Yu, Guoyuan Zhu, Chun‐Ping Liu, Meng‐Ni Zhang, Huanxing Su, Han‐Ming Shen, Ye Chen, Lei Wang, Yi‐Tao Wang, Min Li, Zhaoxiang Bian, Jin Chai, Richard D Ye, Jia‐Hong Lu

“…Here, we report the identification of columbamine (COL) which enhances macrophage‐mediated efferocytosis and attenuates intestinal inflammation in a murine colitis model. …”
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Planejamento agrícola e implantação de sistema de cultivo de cana-de-açúcar com auxílio de técnicas geoestatísticas Agricultural planning and implementation of cultivation systems... by Milton C. C. Campos, José Marques Júnior, Gener T. Pereira, Zigomar M. de Souza, Rafael Montanari

“…An area of 505 ha was mapped using the global positioning system (GPS) and a Digital Elevation Model was elaborated (MDE). Soil samples were collected for 0-0.25 m depth, in each 7 ha, for their chemical attributes and texture characterization. …”
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Construction and Completion of the Knowledge Graph for Cow Estrus with the Association Rule Mining by Zhiwei Cheng, Luyu Ding, Cheng Peng, Helong Yu, Baozhu Yang, Ligen Yu, Qifeng Li

“…<b>Background:</b> Accurate estrus identification in dairy cows is essential for enhancing reproductive efficiency and economic performance. …”
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Robust Network Traffic Classification Based on Information Bottleneck Neural Network by Wei Lin, Yu Chen

“…Recent advances in machine learning have improved NTC but often struggle with data labeling, encrypted traffic, and model complexity. This paper introduces a novel Information Bottleneck Neural Network (IBNN) to address these challenges by efficiently extracting essential features from raw traffic data while minimizing irrelevant information. …”
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Information and Service Support of the Mechanism of Industry Functioning in the Single Digital Space by O. V. Loseva, N. M. Abdikeev

“…The results of the work were the construction of a conceptual model of the mechanism of functioning of an industrial enterprise in a single digital space, based on the principle of optimality and capable of adapting to the needs of a particular industrial enterprise, as well as the identification of the basic functions of the management activity of an industrial enterprise in the single digital space, and the characteristics of the information and service support mechanism, which is digital services (technologies) that ensure management activities and interaction of actors of the business ecosystem in the single digital space. …”
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Research on the application of improved MCMC algorithm in the measurement of high-dimensional financial data by Naijia Liu, Yuchao Su

“…In the face of high-dimensional financial data econometric analysis, numerous algorithms inevitably face problems such as difficult model identification, too slow convergence, and too long iteration time. …”
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Advances in Personalized Cancer Vaccine Development: AI Applications from Neoantigen Discovery to mRNA Formulation by Hyunseung Kong

“…In neoantigen discovery, machine learning and deep learning models integrate peptide–MHC binding, antigen processing, and T cell receptor recognition to enhance immunogenic neoantigen identification. …”
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Classifying reservoir facies using attention-based residual neural networks by An Hai Nguyen, Khang Nguyen, Nga Mai

“…This architectural approach, in contrast to traditional single-stream or non-residual designs, significantly enhances the model’s ability to concentrate on key geological features while preserving hierarchical representations of the data. …”
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Advanced Planning Systems in Production Planning Control: An Ethical and Sustainable Perspective in Fashion Sector by Martina De Giovanni, Mariangela Lazoi, Romeo Bandinelli, Virginia Fani

“…The integration of metaheuristic algorithms—especially Ant Colony Optimization (ACO) and hybrid models like GA-ACO—further improves optimization performance by offering high-quality, near-optimal solutions without requiring extensive structural modeling. …”
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Intelligent Inter- and Intra-Row Early Weed Detection in Commercial Maize Crops by Adrià Gómez, Hugo Moreno, Dionisio Andújar

“…The findings emphasize the feasibility of employing these advanced models for efficient inter- and intra-row weed management, particularly for early-stage weed detection with minimal crop interference. …”
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