A Novel Approach to Strengthening Cryptography Using RSA, Efficient Domination and Fuzzy Logic by Ghulam Muhiuddin, Annamalai Meenakshi, Janusz Kacprzyk, Ganesan Ambika, Hossein Rashmamlou

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Optimal Scheduling of Biomass-Hybrid Microgrids with Energy Storage: An LSTM-PMOEVO Framework for Uncertain Environments by Zichong Wang, Yingying Zheng

“…Finally, a public dataset was utilized for the experiments to verify the performance of the proposed algorithm. Comparisons and discussions show that the proposed optimization strategies significantly improve the performance of PMOEVO, demonstrating marked advantages over six classical algorithms. …”
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A GPSR-Based Sparse ECG Signal Recovery Approach for Hybrid Compressive Sensing Framework and Its Classification Using Deep Convolution Neural Network by Subramanyam Shashi Kumar, Prakash Ramachandran

“…Research on Compressive Sensing (CS) framework for ECG signals are of 3 categories. …”
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METHODOLOGY AND RESULTS OF MOBILE OBJECT PURSUIT PROBLEM SOLUTION WITH TWO-STAGE DYNAMIC SYSTEM by M. A. Kiselev

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Enhanced YOLO11 for lightweight and accurate drone-based maritime search and rescue object detection. by Beigeng Zhao, Jiawen Zhao, Rui Song, Lizhi Yu, Xia Zhang, Jiren Liu

“…The code supporting this research is available at https://github.com/bgno1/sds_yolo11.…”
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Security scheme design of intelligent lighting system based on blockchain by Yongbin Zhao, Cong Men, Xiao Yang, Xiangyang Liu

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Personalized Human-Robot Cognitive Interaction via a Novel Fuzzy Logic Control and Learning-Based Paradigm by Marcel Munster, Anahita Jamshidnejad

“…By replicating the rule-based decision making of humans, FLC provides a highly effective personalization mechanism and warm-starts the RL algorithm, which takes care of adapting the behaviors of SARs to the dynamics of people’s state-of-mind. …”
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Employee attendance system using face recognition and GPS using local binary pattern histogram by Narahari Vigraha Prasada, Ikrimach

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Bayesian Neural Networks With Robust Feature Interpretation for Enhanced Compressive Strength Prediction of Ultra‐High‐Performance Concrete by Tao Zhang, Ji Hao, Jie Zhang, Lina Du, Yunhao Zhang, Wenbin Jiao

“…This study addresses the research problem by developing an intelligent prediction framework that integrates robust data preprocessing, advanced neural network modeling, and comprehensive interpretability analyses. …”
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Enhancing Risk Prioritization in Healthcare Informatics: A Combined Vulnerability Scoring and Operational Framework Approach by Cecilio Jr GARCIANO

“…The application represents a scalable, research-driven innovation that supports operational resilience and decision-making in critical healthcare infrastructures. …”
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Impact of rainy season on approach trajectories in high-altitude airport terminal maneuvering area: a clustering analysis by Jianxiong Chen, Jingtao Wang, Fan Li, Lin Zou

“…After data preprocessing, a clustering algorithm was used to identify trajectory patterns and detect outlier trajectories. …”
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Classification of Review Text using Hybrid Convolutional Neural Network and Gated Recurrent Unit Methods by Fiqih Fathor Rachim, Auli Damayanti, Edi Winarko

“…The review text is converted into matrix using One Hot Encoding algorithm and then extracted using CNN. The CNN process includes the convolution calculation, the calculation of the Rectified Linear Unit (ReLU) activation function, and the pooling stage. …”
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Opportunities for Improving Financial Provision of Social Insurance Institutions in the Russian Federation by Yu. P. Kalmykov

“…The subject of the research is the analysis of priority directions of improvement of financial provisioning of activity of extra-budgetary funds of the Russian Federation that make up the system of social insurance institutions. …”
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Grassland biome fragmentation analysis using sentinal-2 images and support vector machine learning model in South Africa by Andisani Netsianda, Paidamwoyo Mhangara, Eskinder Gidey

“…Given the paucity of research on the threatened ecosystem, the support vector machine learning algorithm (SVM) is employed to investigate fragmentation from 2016 to 2023. …”
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No-Reference Stereoscopic IQA Approach: From Nonlinear Effect to Parallax Compensation by Ke Gu, Guangtao Zhai, Xiaokang Yang, Wenjun Zhang

“…In this paper, we propose a new no-reference stereoscopic image quality assessment algorithm based on the nonlinear additive model, ocular dominance model, and saliency based parallax compensation. …”
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An Infrared and Visible Image Alignment Method Based on Gradient Distribution Properties and Scale-Invariant Features in Electric Power Scenes by Lin Zhu, Yuxing Mao, Chunxu Chen, Lanjia Ning

“…In grid intelligent inspection systems, automatic registration of infrared and visible light images in power scenes is a crucial research technology. Since there are obvious differences in key attributes between visible and infrared images, direct alignment is often difficult to achieve the expected results. …”
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Enhancing Cancer Diagnosis by Ismail Y. Maolood

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Resident Tolerance to Transitional Temperature Deviation in Smart Communities by Eve Tsybina, Viswadeep Lebakula, Piljae Im, Helia Zandi, Jeffrey Munk, Justin Hill

“…While setting the temperature right is a well-researched question, systems in transition from one setpoint to another are currently not thoroughly addressed in research. …”
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Adaptation of local work organization to modern conditions by D. Yu. Levin

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THEORETICAL AND METHODOLOGICAL PRINCIPLES OF APPLICATION OF AGENT-ORIENTED APPROACH TO MODELING PROCESSES OF LOCAL HROMADAS by Yevgen Kotukh, Maryna Riabokin

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