An improved deep learning approach for automated detection of multiclass eye diseases by Feudjio Ghislain, Saha Tchinda Beaudelaire, Romain Atangana, Tchiotsop Daniel

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A hybrid AI-CFD framework for optimizing heat transfer of a premixed methane-air flame jet on inclined surfaces by Panit Kamma, Kittipos Loksupapaiboon, Juthanee Phromjan, Chakrit Suvanjumrat

“…This study presents a novel integration of artificial intelligence (AI) and computational fluid dynamics (CFD) simulations to investigate and optimize the heat transfer characteristics of a premixed methane-air flame jet impinging on an inclined surface. …”
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Sustainable phytoprotection: a smart monitoring and recommendation framework using Puma Optimization for potato pathogen detection by Amal H. Alharbi, Faris H. Rizk, Khaled Sh. Gaber, Marwa M. Eid, Marwa M. Eid, El-Sayed M. El-kenawy, El-Sayed M. El-kenawy, Pushan Kumar Dutta, Doaa Sami Khafaga

“…In contrast, convergence analysis demonstrated PO-RBM’s computational efficiency relative to PSO, GWO, and GA alternatives. …”
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Мethod of Functional Treatment of Refractive Amblyopia in Children Using Alternating Presentation of Stereo Stimules by S. I. Rychkova, V. G. Likhvantseva

“…The research is devoted to one of the most urgent problems of modern ophthalmology — the search for new approaches to creating effective methods of functional treatment of refractive amblyopia using computer technologies.The purpose of the work is to evaluate the effectiveness of computer technology with consistent use of alternating and non-alternating modes of presentation of stereostimulars in the functional treatment of refractive amblyopia in children.Patients and methods. 105 patients with refractive amblyopia at the age of 7 to 17 (on average 11.45 ± 0.3) years were observed. …”
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Cross Attention-Based Multi-Scale Convolutional Fusion Network for Hyperspectral and LiDAR Joint Classification by Haimiao Ge, Liguo Wang, Haizhu Pan, Yanzhong Liu, Cheng Li, Dan Lv, Huiyu Ma

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Optimizing Fairness and Spectral Efficiency With Shapley-Based User Prioritization in Semantic Communication by Moirangthem Tiken Singh, Adnan Arif, Rabinder Kumar Prasad, Bikramjit Choudhury, Chandan Kalita, Sikdar Md. S. Askari

“…Although the Shapley value calculation introduces a moderate increase in computational cost, this trade-off is justified by the robust balance achieved between fairness, efficiency, and overall system performance. …”
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Exploring AR hand augmentations as error feedback mechanisms for enhancing gesture-based tutorials by Catarina G. Fidalgo, Catarina G. Fidalgo, Catarina G. Fidalgo, Yukang Yan, Mauricio Sousa, Joaquim Jorge, Joaquim Jorge, David Lindlbauer

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Multichannel Deep Attention Neural Networks for the Classification of Autism Spectrum Disorder Using Neuroimaging and Personal Characteristic Data by Ke Niu, Jiayang Guo, Yijie Pan, Xin Gao, Xueping Peng, Ning Li, Hailong Li

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MCL-SWT: Mirror Contrastive Learning with Sliding Window Transformer for Subject-Independent EEG Recognition by Qi Mao, Hongke Zhu, Wenyao Yan, Yu Zhao, Xinhong Hei, Jing Luo

“…<b>Background</b>: In brain–computer interfaces (BCIs), transformer-based models have found extensive application in motor imagery (MI)-based EEG signal recognition. …”
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Enhancing stock market predictions for classifying unlabelled celebrities' twitter data by Baljinder Singh, Mandeep Kaur, Gurbinder Singh Brar, NZ Jhanjhi

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Deep Q-Network (DQN) Model for Disease Prediction Using Electronic Health Records (EHRs) by Nabil M. AbdelAziz, Gehan A. Fouad, Safa Al-Saeed, Amira M. Fawzy

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Ultra-Short-Term Wind Power Forecasting in Complex Terrain: A Physics-Based Approach by Dimitrios Michos, Francky Catthoor, Dimitris Foussekis, Andreas Kazantzidis

“…The proposed method is evaluated with data from two WTs (E40-500, NM 750/48). …”
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Applying deep learning for style transfer in digital art: enhancing creative expression through neural networks by Shijun Zhang, Yanling Qi, Jingqi Wu

“…However, traditional NST methods often need help balancing style fidelity and content preservation, and many models need more computational efficiency, limiting their applicability for real-time applications. …”
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Describing Pulmonary Nodules Using 3D Clustering by Amera Al-Funjan, Farid Meziane, Rob Aspin

“…Determining the tumor (nodule) characteristics in terms of the shape, location, and type is an essential step after nodule detection in medical images for selecting the appropriate clinical intervention by radiologists. Computer-aided detection (CAD) systems efficiently succeeded in the nodule detection by 2D processing of computed tomography (CT)-scan lung images; however, the nodule (tumor) description in more detail is still a big challenge that faces these systems.Materials and Methods. …”
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The Impact of Pause and Filler Word Encoding on Dementia Detection with Contrastive Learning by Reza Soleimani, Shengjie Guo, Katarina L. Haley, Adam Jacks, Edgar Lobaton

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MapIO: A Gestural and Conversational Interface for Tactile Maps by Matteo Manzoni, Sergio Mascetti, Dragan Ahmetovic, Ryan Crabb, James M. Coughlan

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Investigation of photophysical properties and potential biological applications of substituted tris(polypyridyl)ruthenium(II) complexes by T. Sumitha Celin, G. Allen Gnana Raj, T. S. Prathima, M. M. Balamurali

“…The photophysical properties of tris(polypyridyl)ruthenium(II) complex [Ru(dmbpy)3]2+ [dmbpy = 4,4′-dimethyl-2,2′-bipyridine] were investigated and compared with [Ru(bpy)3]2+ following both experimental and computational approaches. The variations in the electronic properties of the complex in the ground and excited states were determined by density functional theory (DFT) methods, and their effects on the anticancer, antioxidant, and antimicrobial activities were also evaluated by molecular docking and dynamic simulation studies. …”
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CRISPR/CasRx-mediated RNA knockdown targeting β-catenin and Ihh signaling alleviates osteoarthritis by Xingyun Huang, Jiamin Yu, Shixue Gou, Hongyu Qin, William W. Lu, Zhen Li, Liping Tong, Di Chen

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In Distance Learning, Is There a Role? by Nestor L. Osorio

“…Science and engineering librarians working with university administrators must explore the different ways in which advanced computer instructional technology can blend with the skills for collecting, organizing, retrieving and evaluating quality information that will enrich the education and retraining of students of the sciences and engineering. …”
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Energy-Harvesting Smart Tiles for Human–Machine Interface Applications by Alessandro Zompanti, Paolo Romeo, Anna Sabatini, Luca Vollero, Marco Santonico, Giorgio Pennazza

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