Federated Learning for Brain Tumor Diagnosis: Methods, Challenges and Future Prospects by Ma Yuhan

“…Although these factors limit the widespread application of FL in medical settings, this paper also proposes potential solutions, such as improving algorithm interpretability through interpretable tools, and utilizing transfer learning and domain adaptation methods to enhance model effectiveness across different datasets. …”
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TabMoE: A General Framework for Diverse Table-Based Reasoning with Mixture-of-Experts by Jie Wu, Mengshu Hou

“…However, existing table-based pre-training methods frequently exhibit constraints, supporting only single tasks while requiring substantial computational resources, which hinders their efficiency and applicability. …”
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ZEMAX Simulations and Experimental Validation of Laser Interferometers by Muddasir Naeem, Tayyab Imran

“…Using ZEMAX OpticStudio in non-sequential mode with the physical optics propagation (POP) algorithm, the simulations provide detailed insights into the optical performance of these interferometers. …”
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Artificial Blur Effect for Optical See-Through Near-Eye Displays by Shiva Sinaei, Daisuke Iwai, Kosuke Sato

“…Furthermore, we propose an algorithm to mitigate artifacts around the border region between the sharp and blur regions that appear due to the magnification of the ETL. …”
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Exosomal insights into ovarian cancer stem cells: revealing the molecular hubs by Kiana Sojoudi, Maryam Solaimani, Hossein Azizi

“…A four-fold algorithmic approach, including MCC, DMNC, Degree, and EPC, identified 12 common hub genes. …”
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Affinity Propagation-Based Hybrid Personalized Recommender System by Iqbal Qasim, Mujtaba Awan, Sikandar Ali, Shumaila Khan, Mogeeb A. A. Mosleh, Ahmed Alsanad, Hizbullah Khattak, Mahmood Alam

“…A personalized recommender system is broadly accepted as a helpful tool to handle the information overload issue while recommending a related piece of information. …”
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Approach to Semantic Visual SLAM for Bionic Robots Based on Loop Closure Detection with Combinatorial Graph Entropy in Complex Dynamic Scenes by Dazheng Wang, Jingwen Luo

“…To address this problem, we propose a semantic visual SLAM (vSLAM) algorithm based on loop closure detection with combinatorial graph entropy. …”
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Texture Analysis and Classification using Local Binary Patterns and Statistical Features by Hasan Maher

“…On the other hand, there is HOG which emphasizes edge and gradient information to detect the orientation and shape of a texture in a given image. While LBP describes the local micro-patterns HOG gives the perspective of the global gradient orientation. …”
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Sorting rare earth magnets motors for recycling without opening the motors by A. P. S. Baghel, A. Karati, D. Prodius, I. C. Nlebedim

“…The former was accomplished with 100% accuracy while the latter was accomplished with ~ 78% accuracy. …”
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Rough Set Theory and Soft Computing Methods for Building Explainable and Interpretable AI/ML Models by Sami Naouali, Oussama El Othmani

“…Applied to a private cardiovascular dataset, our MLSpecialReduct algorithm achieves a peak Random Forest accuracy of 0.99 (versus 0.85 without feature selection), while MLFuzzyRoughSet improves accuracy to 0.83, surpassing our MLVarianceThreshold (0.72–0.77), an adaptation of the traditional VarianceThreshold method. …”
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Watermarking public‐key cryptographic functionalities and implementations: The case of encryption and signatures by Foteini Baldimtsi, Aggelos Kiayias, Katerina Samari

“…Abstract A watermarking scheme for a public‐key cryptographic functionality enables the embedding of a mark in the instance of the secret‐key algorithm such that the functionality of the original scheme is maintained, while it is infeasible for an adversary to remove the mark (unremovability) or mark a fresh object without the marking key (unforgeability). …”
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A Machine Learning Approach for Predicting Particle Spatial, Velocity, and Temperature Distributions in Cold Spray Additive Manufacturing by Lurui Wang, Mehdi Jadidi, Ali Dolatabadi

“…The ML predictions closely match CFD outputs while reducing computation time by orders of magnitude, demonstrating that ML-CFD integration can accelerate CSAM process design. …”
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Financial Management of Innovative Activity by V. P. Shestak, E. I. Moreva, I. G. Tyutyunnik

“…This allows to create a control algorithm to maximize the effectiveness. The methods of computational diagnostics and tomographic economics are used for the element-by-element analysis of the subsystems of the innovation system. …”
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Allosteric communication occurs via networks of tertiary and quaternary motions in proteins. by Michael D Daily, Jeffrey J Gray

“…The GCN reveals allosteric communication among all substrate and effector sites in 15 of 18 multidomain and multimeric proteins, while tertiary and quaternary networks exhibit such communication in only 4 and 3 of these proteins, respectively. …”
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Drone-Captured Wildlife Data Encryption: A Hybrid 1D–2D Memory Cellular Automata Scheme with Chaotic Mapping and SHA-256 by Akram Belazi, Héctor Migallón

“…Extensive performance evaluations demonstrate the effectiveness of the proposed scheme, which balances security and complexity while outperforming existing algorithms.…”
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The Footropter: A Passive Prosthetic Prescription Tool With Adjustable Forefoot and Hindfoot Stiffness by Harrison L. Bartlett, Brittany M. Moores, Brian E. Lawson, Max K. Shepherd

“…The Footropter, when paired with a preference optimization algorithm, can enable CPs to integrate patients’ experiential input into the clinical prescription process.…”
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Accelerated Computation of Linear Complementarity Problem in Dexterous Robotic Grasping via Newton-Subgradient Non-Smooth Multi-Step Greedy Kaczmarz Method by Zhiwei Ai, Chenliang Li

“…The methodology effectively mitigates inherent limitations of conventional randomized row selection, including unpredictable iteration counts and computational overhead from repeated Jacobian updates, while maintaining deterministic convergence behavior. …”
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Image and audio steganography based on indirect LSB by Zainab Namh Sultani, Ban Nadeem Dhannoon

“…The experimental results indicate that the proposed algorithm achieves promising performance in terms of the quality metrics PSNR, SNR and SSIM. …”
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The Concept of ‘Truth’ in Legal Science: A Theoretical Exploration by Pavel L. Likhter

“…The article pays special attention to the algorithm for distinguishing between real and apparent phenomena of legal reality. …”
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Markov approach for inventory control with meta-heuristics in intermittent demand environment. by Ferhat Yuna, Burak Erkayman, Mustafa Yılmaz

“…The variability of intermittent demand causes high lost sales or holding costs. While lost sales reduce customer satisfaction, keeping excessive stock also creates high costs for companies. …”
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