A Deep Learning Framework for Enhancing Recommender Systems With Dual-Feedback Integration by V. Lakshmi Chetana, Hari Seetha

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Federated Learning for Grading Oil Palm Fruit Ripeness in the Oil Palm Industry by Patchanee Laddawong, Yutthapong Pianroj, Piyanart Chotikawanid, Teerasak Punvichai, Saysunee Jumrat, Atitaya Kham-Ouam, Jirapond Muangprathub

“…Addressing these challenges, this study proposes federated learning (FL) to develop local and global prediction models for grading oil palm fruit ripeness while preserving data privacy. FL facilitates collaborative model training across factories, mitigating privacy risks and enhancing model development efficiency. …”
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Sistem Informasi Persediaan Obat Pada PT Mega Esa Farma Dengan Metode Extreme Programming by Biktra Rudianto, Sheren Prisscilya

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A unified and scalable machine learning framework for feature fusion in object classification using weighted PCA with adaptive concatenation and dynamic scaling by Amitav Mahapatra, Prashanta Kumar Patra

“…Through extensive empirical evaluation on five benchmark datasets—CIFAR-10, Caltech-101, Scene-15, MNIST, and Oxford Pets—utilizing five classifiers (SVM, Random Forest, KNN, Logistic Regression, and Decision Trees), we demonstrate that WPCA-ACDS outperforms several state-of-the-art fusion techniques, including Simple Concatenation, PCA-based Concatenation, Average Fusion, Weighted Average Fusion, Product-based Fusion, cv-weight, Multiple Kernel Learning (MKL), Collaborative Boosting and Dominant Set Fusion. WPCA-ACDS excels in terms of classification accuracy, robustness to noise and high-dimensional data, and computational scalability. …”
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Bibliometric analysis and review of AI-based video generation: research dynamics and application trends (2020–2025) by Wei Xie, Anshu Hu, Qing Xie, Junjie Chen, Ruoyu Wan, Yuhan Liu

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Image-Based Breast Cancer Histopathology Classification and Diagnosis Using Deep Learning Approaches by Lama A. Aldakhil, Haifa F. Alhasson, Shuaa S. Alharbi, Rehan Ullah Khan, Ali Mustafa Qamar

“…Our study reveals that addressing these issues requires collaborative efforts to improve the quality of datasets, reduce class imbalances, and develop optimal standardized diagnostic methods. …”
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Optimizing casting process using a combination of small data machine learning and phase-field simulations by Xiaolong Pei, Jiaqi Pei, Hua Hou, Yuhong Zhao

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An automatic acne detection, severity, and assessment framework using generative adversarial network with deep neural network by Umara Khalid, Li Chen, Abdullah Ayub Khan, Faisal Mehmood

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Cooperative regulation of hazardous chemicals in electric power sector based on CA-ResNet model by Weiqing Chen, Lei Yu, Yang Zhang, Bin Han, Xiaolong Hao, Yiming Xue

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Multimodal sleep staging network based on obstructive sleep apnea by Jingxin Fan, Jingxin Fan, Jingxin Fan, Mingfu Zhao, Li Huang, Li Huang, Bin Tang, Bin Tang, Lurui Wang, Zhong He, Zhong He, Xiaoling Peng

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Spin-splitting above room-temperature in Janus Mn2ClSeH antiferromagnetic semiconductor with a large out-of-plane piezoelectricity by Haiming Lu, Sitong Bao, Bocheng Lei, Sutao Sun, Linglu Wu, Jian Zhou, Lili Zhang

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Integrating humanoid robots with human musicians for synchronized musical performances by MengCheng Lau, John Anderson, Jacky Baltes

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Optimising team dynamics: The role of AI in enhancing challenge-based learning participation experience and outcomes by Athina Georgara, Marc Santolini, Olga Kokshagina, Camila Justine Jacinta Haux, Desmé Jacobs, Gloria Biwott, Marcela Correa, Carles Sierra, Jose Luis Fernandez-Marquez, Juan A. Rodriguez-Aguilar

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SLM-MATRIX: a multi-agent trajectory reasoning and verification framework for enhancing language models in materials data extraction by Xin Li, Zhixuan Huang, Shu Quan, Cheng Peng, Xiaoming Ma

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Application of evolutionary deep learning algorithm in construction engineering management system by Zhe Yang

“…Through the collaboration of various components, a personalized management information system that meets user needs can be formed. …”
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FRB 20250316A: A Brilliant and Nearby One-off Fast Radio Burst Localized to 13 pc Precision by The CHIME/FRB Collaboration:, Thomas C. Abbott, Daniel Amouyal, Bridget C. Andersen, Shion E. Andrew, Kevin Bandura, Mohit Bhardwaj, Kalyani Bhopi, Yash Bhusare, Charanjot Brar, Alice Cai, Tomas Cassanelli, Shami Chatterjee, Jean-François Cliche, Amanda M. Cook, Alice P. Curtin, Evan Davies-Velie, Matt Dobbs, Fengqiu Adam Dong, Yuxin Dong, Gwendolyn Eadie, Tarraneh Eftekhari, Wen-fai Fong, Emmanuel Fonseca, B. M. Gaensler, Nina Gusinskaia, Jason W. T. Hessels, Danté M. Hewitt, Jeff Huang, Naman Jain, Ronniy. C. Joseph, Lordrick Kahinga, Victoria M. Kaspi, Afrasiyab (Afrokk) Khan, Bikash Kharel, Adam E. Lanman, Magnus L’Argent, Mattias Lazda, Calvin Leung, Robert Main, Lluis Mas-Ribas, Kiyoshi W. Masui, Kyle McGregor, Ryan Mckinven, Juan Mena-Parra, Daniele Michilli, Nicole Mulyk, Mason Ng, Kenzie Nimmo, Ayush Pandhi, Swarali Shivraj Patil, Aaron B. Pearlman, Ue-Li Pen, Ziggy Pleunis, J. Xavier Prochaska, Masoud Rafiei-Ravandi, Scott M. Ransom, Gurman Sachdeva, Mawson W. Sammons, Ketan R. Sand, Paul Scholz, Vishwangi Shah, Kaitlyn Shin, Seth R. Siegel, Sunil Simha, Kendrick Smith, Ingrid Stairs, David C. Stenning, Haochen Wang, Thomas Boles, Ismaël Cognard, Tammo Jan Dijkema, Alexei V. Filippenko, Marcin P. Gawroński, Wolfgang Herrmann, Charles D. Kilpatrick, Franz Kirsten, Shawn Knabel, Omar S. Ould-Boukattine, Hadrien Paugnat, Weronika Puchalska, William Sheu, Aswin Suresh, Aaron Tohuvavohu, Tommaso Treu, WeiKang Zheng

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Design and application research of traditional Chinese medicine teaching resource recommendation system based on multivariate data mining driven algorithm by Wei Zhang, Yaqing Liu, Qiang Zhang, Xiaomin Chen

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Optimal Contract Design for Cooperative Relay Incentive Mechanism under Moral Hazard by Nan Zhao, Minghu Wu, Wei Xiong, Cong Liu

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An extensible open-source solution for research digitalisation in materials science by Victor Dudarev, Lars Banko, Alfred Ludwig

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Investigating the tripartite interaction among teachers, students, and generative AI in EFL education: A mixed-methods study by Lihang Guan, John Chi-Kin Lee, Yue Zhang, Mingyue Michelle Gu

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