Peningkatan Akurasi Metode Weighted Fuzzy Time Series Forecasting Menggunakan Algoritma Evolusi Differensial dan Fuzzy C-Means by Agus Fachrur Rozy, Solimun Solimun, Ni Wayan Surya Wardhani

“…Although the WFTS method has proven effective, there are challenges in improving the accuracy of the generated forecasts. There are two commonly applied approaches: the Differential Evolution (DE) algorithm and Fuzzy C-Means (FCM). …”
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Combined Heat and Power Dynamic Economic Dispatch with Emission Limitations Using Hybrid DE-SQP Method by A. M. Elaiw, X. Xia, A. M. Shehata

“…CHPDEED determines the optimal heat and power schedule of committed generating units by minimizing both fuel cost and emission simultaneously under ramp rate constraints and other constraints. …”
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A Multiobjective Evolutionary Algorithm for Energy-Efficient Cooperative Spectrum Sensing in Cognitive Radio Sensor Network by Weirong Liu, Gaorong Qin, Shuo Li, Jian He, Xiaoyong Zhang

“…In this paper, a fast differential evolution algorithm is proposed to optimize the energy consumption and spectrum sensing performance jointly. …”
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A Self-Adaptive Improved Slime Mold Algorithm for Multi-UAV Path Planning by Yuelin Ma, Zeren Zhang, Meng Yao, Guoliang Fan

“…These conditions transform multi-UAV path planning into a complex optimization problem with multiple constraints, significantly reducing the number of feasible solutions and complicating the generation of optimal flight trajectories. …”
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Perioperative management in acute and chronic spinal cord injury, narrative review by Israel Valdez-Resendiz, Estefany Nohemí Salgado-Camarillo, Fernanda Hernández-Morales, César Alejandro Martínez-de los Santos, Chiara Robba

“…Abstract Spinal cord injury (SCI) causes temporary or permanent changes and alterations in patients’ motor, sensory, or autonomic function, significantly impacting their quality of life and requiring clear goals and optimization of anesthesia and perioperative care for acute and chronic spinal cord injuries. …”
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Key frame extraction algorithm for surveillance videos using an evolutionary approach by Manjusha Rajan, Latha Parameswaran

“…The results demonstrate that the proposed KFE approach adheres to benchmark data and captures additional significant frames. Compared to Differential Evolution (DE) techniques and Deep Learning (DL) models from the literature, this recommended algorithm demonstrates superior efficiency, as verified through quantitative and qualitative evaluation metrics. …”
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A comprehensive techno-economic analysis for a PHEV-integrated microgrid system involving wind uncertainty and diverse demand side management policies by Bishwajit Dey, Laishram Khumanleima Chanu, Gulshan Sharma, Pitshou N. Bokoro

“…The research investigation employed the Differential Evolution (DE) algorithm as an optimization technique. …”
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Risk assessment of water inrush from coal floor based on enhanced samples with class distribution by Shiwei Liu, Jiaxin Zhao, Hao Yu, Jiaqi Chen

“…A prediction model of the water inrush risk for the coal seam floor was established using a coupled algorithm of extreme learning machines, self-adaptive differential evolution, and CDMTD (PCA-CDMTD-SaDE-ELM) and was used to evaluate the water inrush risk in the 19,105 working face of the Yunjialing Mine. …”
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Improved genetic algorithm based on Shapley value for a virtual machine scheduling model in cloud computing by Lili Chen, Lili Chen, Yuxia Niu

“…This algorithm uses the SVM to obtain the contribution values of each component of the virtual machine, refine the topological network, and achieve the optimal solution of scheduling by the genetic algorithm.Results and DiscussionCloudSim simulation results indicate that SVM-GA has the lowest total task completion time when compared with existing intelligent optimization algorithms (such as the max–min algorithm, logistic regression algorithm, and differential evolution algorithm) with the same number of tasks, and the total task time is 25, 55, 81, 112, 145, and 175 s for 200, 400, 600, 800, 1,000, and 1,200 tasks, respectively. …”
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Chromosome-level genome of Cyprinus rubrofuscus ♀ × Sinocyclocheilus grahami ♂ provides high-quality parental haplotype genomes and insights into hybrid economic traits enhancement... by Yanhui Yin, Yuanwei Zhang, Anli Wu, Wei Dao, Jing Long, Xiaofu Pan, Junxing Yang, Xiaoai Wang

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A Real Time Coordinated Hydro Governor With Dual STATCOM for Low Frequency Oscillation Damping Using Hybrid Mean DE & TVAPSO by Samarjeet Satapathy, Narayan Nahak, Renu Sharma

“…A new multi-objective mean Differential Evolution with time varying accelerated Particle Swarm Optimization algorithm (MeDETVAPSO) has been implemented to tune controller parameters. …”
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DMSO-free cryopreservation of hiPSC-derived cardiomyocytes: low temperature characterization and protocol development by Akshat S. Mallya, Tessa Burrows, Jeanne Hsieh, Troy Louwagie, James R. Dutton, Brenda M. Ogle, Allison Hubel

“…Subsequently, biophysical characterization of the cells was performed. A differential evolution (DE) algorithm was utilized to determine the optimal composition of a mixture of a sugar, sugar alcohol and amino acid to replace DMSO as the CPA. …”
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A practical approach on radioprotection in the treatment of radioiodine for thyroid cancer by Janaína Dutra Silvestre Mendes, Ana Luiza Silva Lima Kubo, Ana Maria de Oliveira Rebelo

“…There are several protocols for the treatment and follow-up of differentiated thyroid cancer. All of them gather evidence on the evolution and treatment and try to establish a treatment standard. …”
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Two-tier classification framework for mapping grassland types using multisource earth observation data by Min Zhang, Wenzheng Yu, Ang Chen, Cong Xu, Jian Guo, Xiaoyu Xing, Dong Yang, Zichao Wang, Xiuchun Yang

“…Among these features, relative humidity, total precipitation from May to September, geographic coordinates, and elevation had the greatest effect on grassland type differentiation. June and July were the optimal phenological periods for mapping; (4) Over the 30-year period, the grasslands on the Qinghai Plateau showed an expanding trend, with extensive areas of alpine steppes transforming into alpine meadows. …”
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Syntactic Analysis of Spatial Structure Characteristics of Traditional Villages Along the Yellow River in Western Shanxi Province by Chenge GAO, Fang WANG

“…This research explores the intrinsic connections between the spatial form and structure of traditional village settlements and between relevant cognitive and behavioral patterns, and explains the generation and evolution of landscape patterns, in an effort to enhance the understanding of the integration and centripetal degree of local and overall spatial functions within the village domain, the perceptibility of the spatial system, the consistency of behavioral experiences among residents and visitors, and the potential of local spaces to contribute to the overall spatial construction.MethodsThis research uses cluster sampling to select 33 national-level traditional villages in the four counties along the Yellow River in Lyuliang City, Shanxi Province, located on the eastern side of the Jin-Shaan Gorge in the middle reaches of the Yellow River. …”
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Determination of Rare Earth Elements in Soil and Stream Sediment by Inductively Coupled Plasma-Mass Spectrometry with Automatic Graphite Digestion by Meiyun ZENG, Qisheng HE, Xin SHAO, Xiaoli YANG

“…BACKGROUNDRare earth elements were used as geochemical tracers usually to provide important information for revealing the genesis of rocks and minerals, geochemical conditions of diagenesis and mineralization, material sources and magmatic differentiation and evolution, due to their stable chemical properties and high degree of uniformity. …”
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Response of Water-Sediment Structure to Three-dimensional Baroclinic Effects in Yangtze River Estuary by ZHU Xian-bo, LU Chuan-teng, LUO Xiao-feng, ZHANG Gong-jin

“…The revealed detailed response characteristics of flow velocity and sediment content (layered, tidal-phase-specific, and spatially heterogeneous) offer theoretical and practical value for improving the prediction model for the siltation of deep-water channels in the Yangtze River Estuary, optimizing the dredging strategies for channel maintenance, and understanding the morphological evolution of estuaries. …”
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Genome-wide analysis of ivermectin response by Onchocerca volvulus reveals that genetic drift and soft selective sweeps contribute to loss of drug sensitivity. by Stephen R Doyle, Catherine Bourguinat, Hugues C Nana-Djeunga, Jonas A Kengne-Ouafo, Sébastien D S Pion, Jean Bopda, Joseph Kamgno, Samuel Wanji, Hua Che, Annette C Kuesel, Martin Walker, Maria-Gloria Basáñez, Daniel A Boakye, Mike Y Osei-Atweneboana, Michel Boussinesq, Roger K Prichard, Warwick N Grant

“…Genome-wide analyses revealed genetic variation that significantly differentiated good responder (GR) and sub-optimal responder (SOR) parasites. …”
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Exploring the determinants of AIGC usage intention based on the extended AIDUA model: a multi-group structural equation modeling analysis by Xueyan Bai, Lin Yang, Lin Yang

“…ObjectiveWith the rapid development and widespread adoption of generative artificial intelligence (GenAI) technologies, their unique characteristics—such as conversational capabilities, creative intelligence, and continuous evolution—have posed challenges for traditional technology acceptance models (TAMs) in adequately explaining user adoption intentions. …”
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Quantification of Subsurface Hydrological Connectivity Using Wavelet Coherence Analysis by REN Ruijie, Fan Bihang, ZHANG Yaling, WANG Erqing, YANG Ruxin, HAN Xiaole, LIU Jintao, GUO Li

“…ObjectiveSubsurface hydrological connectivity governs the rainfall-runoff transformation relationship in headwater catchments and serves as a critical foundation for describing runoff generation and concentration mechanisms and simulating hillslope hydrological processes. …”
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