Analyzing the applicability of psychometric QoE modeling for projection-based point cloud video quality assessment by Sam Van Damme, Jeroen van der Hooft, Filip De Turck, Maria Torres Vega

“…Satisfying results are yet obtained with correlation values often going above 0.700 on GOP- and frame-level while maintaining root mean squared error (RMSE) below 10 on a 0–100 scale. …”
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Optimal Economic Dispatch Strategy for Cascade Hydropower Stations Considering Electric Energy and Peak Regulation Markets by Fan Liu, Wentao Huang, Jingjing Ma, Jun He, Can Lv, Yukun Yang

“…The continuous development of the electric energy market (EEM) and the peak regulation market (PRM) is also affecting the economic benefits of cascade hydropower stations, in which the EEM, as a market for electric energy trading in the power market, develops synergistically with the PRM and creates the conditions for the consumption of new energy sources; for this reason, this paper, while considering the benefits of cascade hydropower stations in the EEM in different time scales and the impact of the spot market, combines the compensation mechanism and apportionment principle of the PRM. …”
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Performance assessment of BeiDou-3 PPP-B2b real time pre-cise point positioning by Yu Lin, Laiyong Song, Jiaqi Shen, Zelin Mu

“…In real-time kinematic PPP solutions, based on the PPP-B2b algorithm, decimeter-level accuracy is attained, particularly in the north and south directions. …”
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Personalized EEG-guided brain stimulation targeting in major depression via network controllability and multi-objective optimization by Aihua Wang, Jingnan Sun

“…A multi-objective optimization algorithm (NSGA-II) was used to select optimal node–frequency–amplitude combinations minimizing control energy while maximizing network efficiency gain and structural restoration. …”
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Unveiling diagnostic biomarkers and therapeutic targets in lung adenocarcinoma using bioinformatics and experimental validation by Sixuan Wu, Yuanbin Tang, Qihong Pan, Yaqin Zheng, Yeru Tan, Junfan Pan, Yuehua Li

“…Of particular note, the association of ST14 with clinical prognosis, drug responsiveness, and immune infiltration was validated, while enrichment analysis further clarified its role in key biological pathways. …”
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A Lightweight Model for Small-Target Pig Eye Detection in Automated Estrus Recognition by Min Zhao, Yongpeng Duan, Tian Gao, Xue Gao, Guangying Hu, Riliang Cao, Zhenyu Liu

“…To enable non-contact, automated estrus detection, this study proposes an improved algorithm, Enhanced Context-Attention YOLO (ECA-YOLO), based on YOLOv11. …”
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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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