Single-cell proteomic analysis reveals Multiple Myeloma heterogeneity and the dynamics of the tumor immune microenvironment in precursor and advanced states by Mohamed Kamal, Stephanie N. Shishido, Jeremy Mason, Krina Patel, Elisabet E. Manasanch, Robert Z. Orlowski, Peter Kuhn

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Advanced low-thermal fortification strategy for dill juice: enhanced bioaccessibility and functional properties through MLP-RSM optimization by Seydi Yıkmış, Aylin Duman Altan, Selinay Demirel, Melikenur Türkol, Nazlı Tokatlı, Nazan Tokatlı Demirok, Moneera O. Aljobair, Emad Karrar, Isam A. Mohamed Ahmed

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Modulating the Afterglow Time of Mn²⁺ Doped Metal Halides and Applications in Advanced Optical Information Encryption by Yu-Lin Hu, Yi-Lin Zhu, Shi-Ying Gu, Jia-Qing Xu, Zhi-Xing Gan, Chuan-Guo Shi

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Integrating Digital Twins and Artificial Intelligence Multi-Modal Transformers into Water Resource Management: Overview and Advanced Predictive Framework by Toqeer Ali Syed, Muhammad Yasar Khan, Salman Jan, Sami Albouq, Saad Said Alqahtany, Muhammad Tayyab Naqash

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Advancing Real-Time Remote Learning: A Novel Paradigm for Cognitive Enhancement Using EEG and Eye-Tracking Analytics by Nuraini Jamil, Abdelkader Nasreddine Belkacem

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A Comprehensive Benchmark Dataset for Sheet Metal Forming: Advancing Machine Learning and Surrogate Modelling in Pro-cess Simulations by Heinzelmann Pascal, Baum Sebastian, Riedmüller Kim Rouven, Liewald Mathias, Weyrich Michael

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YOLORemote: Advancing Remote Sensing Object Detection by Integrating YOLOv8 With the CE-WA-CS Feature Fusion Approach by Ruihan Bai, Guanghan Song, Qiang Wang

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A predictive framework using advanced machine learning approaches for measuring and analyzing the impact of synthetic agrochemicals on human health by Sahezpreet Singh, Puneet Kaur, Inderdeep Kaur, Gurpreet Singh, Satinder Kaur, Parminder Kaur

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Addressing power quality challenges in hybrid renewable energy systems through STATCOM devices and advanced gray wolf optimization technique by Muhammed F. Alwaeli, Sadjad Galvani, Vahid Talavat

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Advancements in cyberthreat intelligence through resource exhaustion attack detection using hybrid deep learning with heuristic search algorithms by S. Jayanthi, Swathi Sowmya Bavirthi, P. Murali, K. Vijaya Kumar, Hend Khalid Alkahtani, Mohamad Khairi Ishak, Samih M. Mostafa

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A Novel Multi-Image Encryption Scheme Using Generalized Rectangular Transform and Advanced 5-D Hyperchaotic Map by Yu-Chi Lan, Chung-Ming Wang

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Optimizing power conversion efficiency in (FA)₂BiCuI₆ double perovskite solar cells: advanced strategies for performance enhancement by Mahnoor Malik, Muhammad I. Masud, Muhammad Kashif, Maher Un Nisa Tariq, Mohammed Alqarni, Syed Salman Shafqat

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Channel and Spatial Attention in Chest X-Ray Radiographs: Advancing Person Identification and Verification with Self-Residual Attention Network by Hazem Farah, Akram Bennour, Neesrin Ali Kurdi, Samir Hammami, Mohammed Al-Sarem

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Transforming Early Breast Cancer Detection: A Deep Learning Approach Using Convolutional Neural Networks and Advanced Classification Techniques by Arun Kumar Singh, Bireshwar Dass Mazumdar, Rohit Raja, Kamred Udham Singh, Ankit Kumar, Mohd Asif Shah

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Automated Detection of Tailing Impoundments in Multi-Sensor High-Resolution Satellite Images Through Advanced Deep Learning Architectures by Lin Qin, Wenyue Song

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Advanced object detection for smart accessibility: a Yolov10 with marine predator algorithm to aid visually challenged people by Mahir Mohammed Sharif Adam, Hussah Nasser AlEisa, Samah Al Zanin, Radwa Marzouk

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Enhancing Melanoma Diagnosis with Advanced Deep Learning Models Focusing on Vision Transformer, Swin Transformer, and ConvNeXt by Serra Aksoy, Pinar Demircioglu, Ismail Bogrekci

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Automatic Brain Tumor Segmentation: Advancing U-Net With ResNet50 Encoder for Precise Medical Image Analysis by Shoffan Saifullah, Rafal drezewski, Anton Yudhana, Andiko Putro Suryotomo

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Computer, Computer Science, and Computational Thinking: Relationship between the Three Concepts by Pinaki Chakraborty

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Advancing sustainable mobility: Dynamic predictive modeling of charging cycles in electric vehicles using machine learning techniques and predictive application development by Biplov Paneru, Durga Prasad Mainali, Bishwash Paneru, Sanjog Chhetri Sapkota

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