An improved beluga whale optimizer-Derived Adaptive multi-channel DeepLabv3+ for semantic segmentation of aerial images. by Anilkumar P, Venugopal P

“…General neural networks are used to improve categorization accuracy, but they also caused significant losses to target scale and spatial features, and the traditional common features fusion techniques can only resolve some of the issues. …”
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Mobile Apps to Prevent Violence Against Women and Girls (VAWG): Systematic App Research and Content Analysis by Md Hafizur Rahman, Nasimul Ghani Usmani, Pradip Chandra, Ridwana Maher Manna, Anisuddin Ahmed, Mohammad Sohel Shomik, Shams El Arifeen, Aniqa Tasnim Hossain, Ahmed Ehsanur Rahman

“…ObjectiveTherefore, we aimed to systematically evaluate the trends, geographical distribution, functional categories, available features, and feature evolution of mobile apps designed to prevent violence against women and girls (VAWG). …”
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BTFBS: Binding Prediction of Bacterial Transcription Factors and Binding Sites Based on Deep Learning by Bingbing Jin, Song Liang, Xiaoqian Liu, Rui Zhang, Yun Zhu, Yuanyuan Chen, Guangjin Liu, Tao Yang

“…The model takes both the amino acid sequences of bacterial transcription factors and the nucleotide sequences of binding sites as inputs, and extracts features through convolutional neural network and MultiheadAttention. …”
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Automation of aeronautical information processing based on multi-agent technologies by D. E. Eshmuradov, T. D. Elmuradov, N. M. Turayeva

“…In the research process, a formal definition of the multi-agent system of automatic aeronautical information processing is presented, which involves a set of agents, environment of agent functioning, a set of permissible relations between agents, description of rules for forming a network of agents, a set of individual and joint actions, communication interactions, behavior and actions strategies, a possibility of system evolution. …”
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Multi-mode geometrically gated encryption with 4D morphing hydrogel by Xin Wen, Kaihang Zhang, Baoyi Wu, Guancong Chen, Ning Zheng, Jingjun Wu, Xuxu Yang, Tao Xie, Qian Zhao

“…Consequently, the corresponding optical information can be gated based on these geometric features, thereby decrypting the correct permutation of information. …”
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Comparative analysis of impact of classification algorithms on security and performance bug reports by Said Maryyam, Bin Faiz Rizwan, Aljaidi Mohammad, Alshammari Muteb

“…First, we applied preprocessing, Term Frequency-Inverse Document Frequency feature extraction methods, and then applied classification algorithms. …”
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Advances in hydrogel research: a 25-year bibliometric overview by Dongbin Zhang, Mengru Qiu, Yu Tian, Shuo Zhang, Fan Wu

“…Abstract This study presents a comprehensive bibliometric analysis of hydrogel research from 2000 to 2025, examining 101,291 publications from the OpenAlex database to highlight the field’s evolution, trends, and impact, providing a better landscape of the field. …”
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New ichthyofaunal microfossils from the Late Permian at Chaotian, Sichuan, Southwest China by Li Jiachun, Sun Zuoyu, Gilles Cuny, Zhao Siyan, Yao Mingtao, Song Lijun

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Artificial Intelligence Applied in Early Prediction of Lower Limb Fracture Complications by Aurelian-Dumitrache Anghele, Virginia Marina, Liliana Dragomir, Cosmina Alina Moscu, Iuliu Fulga, Mihaela Anghele, Cristina-Mihaela Popescu

“…Key features included patient demographics, laboratory investigations, and clinical outcomes. …”
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A Comprehensive All-sky Catalog of 3345 Molecular Clouds from Three-dimensional Dust Extinction by Tao Wang, Haibo Yuan, Bingqiu Chen, Guangxing Li, Bowen Huang, Helong Guo, Ruoyi Zhang

“…Understanding the distribution and properties of molecular clouds is crucial for tracing the structure and evolution of the interstellar medium (ISM) and the large-scale morphology of the Milky Way. …”
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An open flame and smoke detection dataset for deep learning in remote sensing based fire detection by Ming Wang, Peng Yue, Liangcun Jiang, Dayu Yu, Tianyu Tuo, Jian Li

“…Taking the advantage of rapid advancements in remote sensing technology and artificial intelligence, we introduce the Flame And Smoke Detection Dataset (FASDD), a pioneering collection comprising over 120,000 heterogeneous images covering various fire scenarios, aiming to promote the evolution of fire detection models. FASDD serves as a challenging benchmark for object detection tasks and features three sub-datasets: FASDD_CV, FASDD_UAV, and FASDD_RS. …”
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The glacial paleolandscapes of Southern Africa: the legacy of the Late Paleozoic Ice Age by P. Dietrich, P. Dietrich, P. Dietrich, F. Guillocheau, G. A. Douillet, N. P. Griffis, G. Baby, D. P. Le Héron, L. Barrier, M. Mathian, I. P. Montañez, C. Robin, T. Gyomlai, T. Gyomlai, C. Kettler, A. Hofmann

“…These valleys may have later facilitated ice flow from highlands to lowlands, although the extent and configuration of such features remain speculative.</p> <p>The exhumed pre-LPIA landforms may in some cases be taken for pediments, pediplains, and pedivalleys and interpreted as recording the topographic evolution of Southern Africa after the dislocation of Gondwana during the Mesozoic. …”
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A dynamic preference recommendation model based on spatiotemporal knowledge graphs by Xinyu Fan, Yinqin Ji, Bei Hui

“…Abstract Recommender systems are of increasing importance owing to the growth of social networks and the complexity of user behavior, and cater to the personalized needs of users. …”
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Permeability selection of biologically relevant membranes matches the stereochemistry of life on Earth. by Olivia Goode, Urszula Łapińska, Juliano Morimoto, Georgina Glover, David S Milner, Alyson E Santoro, Stefano Pagliara, Thomas A Richards

“…Early in the evolution of life, a proto-metabolic network was encapsulated within a membrane compartment. …”
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Achievements and prospects of applying high-throughput sequencing techniques to potato genetics and breeding by I. V. Bykova, N. A. Shmakov, D. A. Afonnikov, A. V. Kochetov, E. K. Khlestkina

“…The Potato Genome Sequencing Consortium activities included not only constructing genome libraries, sequencing, assembling and annotation of the genome, but also genome sequence-based investigations uncovering features of potato genome evolution, SNP identification, analysis of genes and gene networks regulating resistance to phytopathogens and technological characteristics. …”
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Analysis of the Customer Churn Prediction Project in the Hotel Industry Based on Text Mining and the Random Forest Algorithm by Leila Taherkhani, Amir Daneshvar, Hossein Amoozad Khalili, Mohamad Reza Sanaei

“…In this model, to increase the efficiency of the proposed method in compare with existing works, the gravitational search algorithm was used to select the useful features, and the differential evolution algorithm was used to adjust the parameters of the classification method. …”
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An Analysis of the Similarities and Differences between Chinese and Western Modernization by Xinhua Jian

“…The common features of Chinese and Western modernization can be summarized briefly as the basic realization of industrialization, urbanization, agricultural modernization, service provision, mechanization, electrification, chemicalization, socialization, large-scale and intensive operation, marketization, democratization and the rule of law, as well as ongoing evolution toward informatization, networking, digitization, and intelligentization. …”
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Digital security risk identification and model construction of smart city based on deep learning by Zhilei Zhao

“…In order to deal with these problems, this paper designs a flexible three-layer architecture framework, and introduces a new intrusion detection feature selection method that combines flock optimization (CSO) and genetic algorithm (GA) to reduce the complexity of feature selection and enhance the detection and processing power of security vulnerabilities through deep neural networks (DNN). …”
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Deep Learning Model for Precipitation Nowcasting Based on Residual and Attention Mechanisms by Zhan Zhang, Qingping Song, Minzheng Duan, Hailei Liu, Juan Huo, Congzheng Han

“…The model introduces the residual neural network (ResNet) and the convolutional block attention module (CBAM) to integrate multi-scale features into the U-Net encoder–decoder architecture, enhancing its ability to capture the spatiotemporal evolution of precipitation systems. …”
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Multi-omics integrated analysis reveals the molecular mechanism of tail fat deposition differences in sheep with different tail types by Wannian Wang, Zhixv Pang, Siying Zhang, Pengkun Yang, Yangyang Pan, Liying Qiao, Kaijie Yang, Jianhua Liu, Ruizhen Wang, Wenzhong Liu

“…Abstract Background The accumulation of tail fat in sheep is a manifestation of adaptive evolution to the environment. Sheep with different tail types show significant differences in physiological functions and tail fat deposition. …”
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