A Robust Opinion Spam Detection Method Against Malicious Attackers in Social Media by Amir Jalaly Bidgoly, Zolikha Rahmanian, Abbas Dehghani

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Dynamic Sharding and Monte Carlo for Post-Quantum Blockchain Resilience by Dahhak Hajar, Nadia Afifi, Imane Hilal

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Modernizing Transactional Systems: Deep Dive from Monolithic to Micro services Architectures by Krishna Kumaar Ragothaman

“…As transaction volumes increase, monolithic system which combines the databases, business logic, and user interfaces into one unit face challenges with scalability and complexity. …”
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Circle Detection with Adaptive Parameterization: A Bottom-Up Approach by Lin Han, Yan Zhuang, Ke Chen, Yuhua Xie, Guoliang Liao, Guangfu Yin, Jiangli Lin

“…Circle detection remains a critical yet challenging task in computer vision, particularly under complex imaging conditions where existing measurement methods face persistent challenges in parameter configuration and noise resilience. …”
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An Improved Pied Kingfisher Optimizer for Maritime UAV Path Planning by Wenyuan Cong, Hao Yi, Feifan Yu, Jiajie Chen, Xinmin Chen, Fengrui Xu

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Reinforcement Learning with Multi-Policy Movement Strategy for Weakly Supervised Temporal Sentence Grounding by Shan Jiang, Yuqiu Kong, Lihe Zhang, Baocai Yin

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An interpretable machine learning model to predict hospitalizations by Hagar Elbatanouny, Hissam Tawfik, Tarek Khater, Anatoliy Gorbenko

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Control over biopower in cognitive and surveillance capitalism by Stanković-Pejnović Vesna

“…Digital networks do not only collect data on users, but they "cluster" these users with the help of algorithms and encourage specific desired behaviors. …”
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Enhancing Speed and Imperceptibility in Watermarking Systems by Leveraging Galois Field Tables by Yasmin Alaa Hassan, Abdul Monem S. Rahma

“…Watermarking research still faces difficulties in striking a balance between speed, robustness, and imperceptibility. …”
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Sentence Embedding Generation Framework Based on Kullback–Leibler Divergence Optimization and RoBERTa Knowledge Distillation by Jin Han, Liang Yang

“…Traditional word vector methods, such as Word2Vec and GloVe, as well as deep learning models like BERT, face limitations in handling context dependency and polysemy and present challenges in computational resources and real-time processing. …”
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Multi-Signal Induction Motor Broken Rotor Bar Detection Based on Merged Convolutional Neural Network by Tianyi Wang, Shiguang Wen, Shaotong Sheng, Huimin Ma

“…The results show that the model’s classification accuracy exceeds 95% under various operating conditions and can maintain high accuracy under low load conditions, thus addressing the limitations faced by existing methods. In addition, it is computationally efficient and can guarantee high real-time performance. …”
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Frequency stabilization of a sophisticated multi-area interconnected hybrid power system considering non-inertia sources by Diaa M. Gawad, Gaber Magdy, M.A. Ebrahim, Eduard Petlenkov

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A New High-Performance Photovoltaic Emulator Suitable for Simulating and Validating Maximum Power Point Tracking Controllers by Ambe Harrison, Njimboh Henry Alombah

“…Currently, researchers face several challenges in testing MPPT algorithms due to the unpredictable nature of solar PV power generation. …”
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ABL-SMOTE: A Novel Resampling Method by Handling Noisy and Borderline Challenge for Imbalanced Dataset for Software Defect Prediction by Kamal Bashir, Sara Abdelwahab Ghorashi, Ali Ahmed, Abdolraheem Khader

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COCO: Coherent Consensus Schema For Dynamic Spectrum Allocation For 5G by C. Rajesh Babu, Kadiyala Ramana, R. Jeya, Asadi Srinivasulu

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Multi-focus image fusion using adaptive patch rendering anisotropic diffusion filter by Sandhya Tatekalva, G. Tirumala Vasu, Samreen Fiza, Hanumantharao Bitra

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Hybrid Tunnel Entrance Detection via Multiple Morphological Component-Based Texture Enhancement by Heng Huang, Jia Chen, Tao Chen, Jun Li, Antonio Plaza

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Multi-Channel Sparse-Frequency-Scanning White-Light Interferometry with Adaptive Mode Locking for Pulse Wave Velocity Measurement by Yifei Xu, Laiben Gao, Cheng Qian, Yiping Wang, Wenyan Liu, Xiaoyan Cai, Qiang Liu

“…Compared to normal MLCC algorithm, the Fibonacci-optimized algorithm reduces the number of computational iterations by 57 times while maintaining sub-nanometer resolution under dynamic perturbations. …”
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Comparative analysis of maximum power point tracking methods for power optimization in grid tied photovoltaic solar systems by Abubakar Elsafi, Akram A. Almohammedi, Mohammed Balfaqih, Zain Balfagih, Saeed Sabri

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Monte Carlo Method for Predicting Educational Service Revenue at Each Level of Education at PT. Kanaka Belajar by Raden Radian Baratasena, Mukidin Mukidin, Kosim Kosim, Adinda Rainah Lova Ariatin

“…The Monte Carlo method is a computational algorithm that uses repeated random sampling to obtain numerical results. …”
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