Enhanced Stability and Performance of Islanded DC Microgrid Systems Using Optimized Fractional Order Controller and Advanced Energy Management by Md. Wahidujjaman, Tasnim Ul Bari, Md. Shafiul Alam, Md. Rashidul Islam, Md. Alamgir Hossain, Md. Arafat Hossain, Md. Rafiqul Islam Sheikh

“…To address these issues, this study proposes the use of an optimized fractional order PI (FOPI) controller and an efficient energy management algorithm. The FOPI controller regulates processes while meeting constraints, with the control rule generated from minimizing a cost function. …”
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Assessing the Transformation of Armed Conflict Types: A Dynamic Approach by Dong Jiang, Jun Zhuo, Peiwei Fan, Fangyu Ding, Mengmeng Hao, Shuai Chen, Jiping Dong, Jiajie Wu

“…Using the random forest algorithm with multiple covariates, we simulated these transformations and analyzed the driving factors. …”
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A study on the correlation between MBTI dimensions and driving behavior characteristics by Liwei Bai, Tao Wang, Jianyao Tu, Bozhezi Peng, Zhuoyu Wang

“…Using the K-modes clustering algorithm, this study identified significant imbalances in the distribution of MBTI personality dimensions across eight clusters, particularly in the Thinking-Feeling (T-F) dimension. …”
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Advanced Optimization of Flowshop Scheduling with Maintenance, Learning and Deteriorating Effects Leveraging Surrogate Modeling Approaches by Nesrine Touafek, Fatima Benbouzid-Si Tayeb, Asma Ladj, Riyadh Baghdadi

“…We develop and evaluate two distinct strategies for integrating surrogate modeling into the optimization process, leveraging the ABC algorithm. The first strategy uses a Kriging model to dynamically guide the selection of the most effective search operator at each stage of the employed bee phase. …”
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T cell receptor signaling pathway subgroups and construction of a novel prognostic model in osteosarcoma by Huan Xu, Huimin Tao

“…Immune landscape analysis including immune infiltration analysis, ESTIMATE algorithm and immune checkpoints expression levels of molecular subtypes and different risk groups were analyzed. …”
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An efficient binary spider wasp optimizer for multi-dimensional knapsack instances: experimental validation and analysis by Mohamed Abdel-Basset, Reda Mohamed, Karam M. Sallam, Ibrahim Alrashdi, Ibrahim A. Hameed

“…The experimental findings demonstrate that BSWO-RO4 can achieve exceptional results for the small and medium-scale instances, while the genetic algorithm integrated with RO4 can be superior for the large-scale instances. …”
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Dataset of noise signals generated by smart attackers for disrupting state of health and state of charge estimations of battery energy storage systemsMendeley by Alaa Selim, Huadong Mo, Hemanshu Pota

“…The low-magnitude noise signals are specifically crafted to be stealthy, evading easy detection while still effectively causing malfunctions in the estimation processes. …”
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Energetically self-sufficient robot group study kit by M. A. Rovbo, A. A. Malyshev

“…The kit serves as an experimental basis that allows to study intricacies of robot control and its hardware and software design while making structural changes, including using different power units: solar, fuel, thermoelectric and others. …”
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Automated Class Imbalance Learning via Few-Shot Multi-Objective Bayesian Optimization With Deep Kernel Gaussian Processes by Zhaoyang Wang, Shuo Wang, Damien Ernst, Chenguang Xiao

“…Automated Class Imbalance Learning (AutoCIL) is an emerging paradigm that leverages Combined Algorithm Selection and Hyperparameter Optimization (CASH) to automate the configuration of resampling strategies and classifiers for imbalanced classification tasks. …”
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Leveraging Finite-Precision Errors in Chaotic Systems for Enhanced Image Encryption by B. M. El-Den, Saad Aldosary, Haitham Khaled, Tarek M. Hassan, Walid Raslan

“…This research explores the application of chaotic systems in generating pseudo-random numbers for encryption protocols, offering a novel perspective on addressing the challenges posed by limited computer precision in cryptographic applications. Chaotic systems, while promising for encryption, often suffer from degradation in their chaotic properties when implemented on computers with finite precision. …”
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Exploring the Impact of Local Operator Configurations in the Multi-Demand Multidimensional Knapsack Problem by José García, Ivo Cattarinich, Paola Moraga, Hernan Pinto

“…In this work, we investigate four local operator configurations—Add, Drop, Swap, and All Operator—within the Whale Optimization Algorithm framework. Our approach integrates these operators to broaden search coverage and refine candidate solutions. …”
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Optimal scheduling of district heat pumps conceived for implementation in Energy Management Systems to participate in demand response by Roberto Rocca, Stefano Leonori, Gregorio Fernández Aznar, Riccardo Toffanin, Luis Luengo-Baranguan

“…To this end, this work proposes a novel formulation of the optimal scheduling problem of district-level HPs, conceived for EMS implementation, and based on a quadratic programming algorithm, with a specific objective function for IDR and DDR. …”
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Modeling 5G-NR User Blocking Probability in Conditional Handover-Enabled Heterogeneous Networks by Amiraslan Haghrah, Javad Musevi Niya, Jafar Pourrostam

“…CHO aims to mitigate radio link failures (RLFs) during handover preparation by incorporating a dedicated base station (BS) reservation phase. While BS reservation effectively reduces RLF rates, it concurrently occupies valuable radio resources, potentially leading to user blockages in congested scenarios. …”
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Robust Dual-Loop Control With Disturbance Observer for DT-PMSM Driven Steer-by-Wire Systems by Kunpeng Jiang, Yousheng Yang

“…The outer loop uses a Proportional-Integral (PI) controller to manage the steering angle, while the inner loop employs a Sliding Mode Controller (SMC) to regulate speed. …”
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Graph-Based Radiomics Feature Extraction From 2D Retina Images by Ofelio Jorreia, Nuno Goncalves, Rui Cortesao

“…Based on predicted bifurcation points and blood vessel segments, we use the Graph-Based Radiomics Feature Extraction Algorithm (Graph-BRFExtract) to extract the adjacency matrix. …”
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A Lightweight Method for Road Defect Detection in UAV Remote Sensing Images with Complex Backgrounds and Cross-Scale Fusion by Wenya Zhang, Xiang Li, Lina Wang, Danfei Zhang, Pengfei Lu, Lei Wang, Chuanxiang Cheng

“…Experimental findings indicate that the CSGEH-YOLO algorithm surpasses the baseline YOLOv8s, achieving a 3.1% improvement in mAP. …”
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HyCoViT: Hybrid Convolution Vision Transformer With Dynamic Dropout for Enhanced Medical Chest X-Ray Classification by Omid Almasi Naghash, Nam Ling, Xiang Li

“…To address overfitting in data-scarce scenarios, we introduce a Dynamic Dropout (DD) algorithm that adaptively adjusts the dropout rate during training. …”
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Surface ozone trend variability across the United States and the impact of heat waves (1990–2023) by K.-L. Chang, K.-L. Chang, B. C. McDonald, C. Harkins, C. Harkins, O. R. Cooper

“…A change point detection algorithm is applied to evaluate seasonal trends at various percentiles. …”
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Radar versus optical: The impact of cloud cover when mapping seasonal surface water for health applications in monsoon-affected India. by Gowri Uday, Bethan V Purse, Douglas I Kelley, Abi Vanak, Abhishek Samrat, Anusha Chaudhary, Mujeeb Rahman, France F Gerard

“…Backscatter thresholds were identified manually, and our Bayesian algorithm found these thresholds were very likely (>97%). …”
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Optimization location routing problem (LRP) of humanitarian aid distribution in Sigi district using NSGA II methods by Serli Bombang, Bonivasius Prasetya Ichiarto, Humiras Hardi Purba

“…It utilizes the NSGA-II algorithm for multi-objective optimization and the Displaced Ideal Solution (DIS) method to select the best solution from the Pareto front.…”
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