Transactive energy management for efficient scheduling and storage utilization in a grid-connected renewable energy-based microgrid by Peter Anuoluwapo Gbadega, Olufunke Abolaji Balogun

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Application of an improved LightGBM hybrid integration model combining gradient harmonization and Jacobian regularization for breast cancer diagnosis by Xiaoyan Sun

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Forecasting Stock Market Indices Using Integration of Encoder, Decoder, and Attention Mechanism by Tien Thanh Thach

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The Impact of Weighting Factors on Dual-Energy Computed Tomography Image Quality in Non-Contrast Head Examinations: Phantom and Patient Study by Doris Šegota Ritoša, Doris Dodig, Slavica Kovačić, Nina Bartolović, Ivan Brumini, Petra Valković Zujić, Slaven Jurković, Damir Miletić

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A performance-based generative design framework based on a design grammar for high-rise office towers during early design stage by Liwei Chen, Ye Zhang, Yue Zheng

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Optimizing the synergy of strength and ductility in a Fe–18Mn–8Al–1C–5Ni lightweight steel by adjusting the distribution, volume fraction and size of B2 phases and κ-carbides by P. Li, H.L. Sun, N. Xiao, H. Ding, X.F. Guo

“…As a result, the aged steel exhibited a remarkable ultra-high strength (yield strength of 1220 MPa, tensile strength of 1423 MPa) and a total elongation of 35.8%. The optimized precipitation of GB-B2 (∼360 nm) and IG-B2 (∼150 nm) particles as well as coherent κ-carbides intra-granularly (∼2.6 nm) contributes to enhancing strength significantly with maintaining good ductility. …”
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Corrigendum to “Determination of optimal dietary calcium levels under different sources of zinc in Jing tint 6 layer chicks from 15 to 42 d of age” [Poultry Science volume 103 (2024) /104192] by Chengyan Gong, Hongpeng Shi, Shuan Liu, Xinyi Gao, Shoujun Zhang, Hao Liu, Xin Liu, Rui Li, Dan Wan

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Enhancing Residential Electricity Consumption Forecasting with Meta-Heuristic Algorithms by Milad Mohebbi, Behnam Sobhani

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Safe cooperative control of CAVs at signal-free intersection under realistic scenarios by Yuta Nakai, Toru Namerikawa

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A multi-model feature fusion based transfer learning with heuristic search for copy-move video forgery detection by Hessa Alfraihi, Muhammad Swaileh A. Alzaidi, Hamed Alqahtani, Abdulbasit A. Darem, Ali M. Al-Sharafi, Ahmad A. Alzahrani, Menwa Alshammeri, Abdulwhab Alkharashi

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Development of performance indicators for sustainable enterprises by E. D. Malevskaia-Malevich

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Enhancing undrained shear strength prediction: a robust hybrid machine learning approach with naïve Bayes modeling by Chen Fang, Ying Li, Yang Shi

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Regenerative Braking Energy Flow Control Algorithm for Power Grid Voltage Stabilization in Mobile Energy Storage Systems by Ivan Župan, Viktor Šunde, Željko Ban, Branimir Novoselnik

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Effect of Blade Number on Internal Flow and Performance Characteristics in Low-Head Cross-Flow Turbines by Ephrem Yohannes Assefa, Asfafaw Haileselassie Tesfay

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Non-Stoichiometric Ba_xMn_0.7Cu_0.3O₃ Perovskites as Catalysts for CO Oxidation: Optimizing the Ba Content by Álvaro Díaz-Verde, Emerson Luiz dos Santos Veiga, Héctor Beltrán-Mir, María José Illán-Gómez, Eloísa Cordoncillo-Cordoncillo

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Corrigendum to “Optimization of ultra-precision CBN turning of AISI D2 using hybrid GA-RSM and Taguchi-GRA statistic tools” [Heliyon Volume 10, Issue 11, 06 2024, Article e31849] by Amanuel Diriba Tura, Elly Ogutu Isaya, Ugonna Loveday Adizue, Balázs Zsolt Farkas, Márton Takács

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Computational Modeling of Desiccation Properties (CW, LS, and VS) of Waste-Based Activated Ash-Treated Black Cotton Soil for Sustainable Subgrade Using Artificial Neural Network, Gray-Wolf, and Moth-Flame Optimization Techniques by Kennedy C. Onyelowe, Jamshid Shakeri, Hasel Amini-Khoshalan, Thompson F. Usungedo, Mohammadreza Alimoradi-Jazi

“…Artificial neural network (ANN), gray-wolf, and moth-flame optimization (GWO and MFO) techniques have been used in this research work to predict the effect of activated sawdust ash (ASDA) on the crack width (CW), linear shrinkage (LS), and volumetric shrinkage (VS) of a black cotton soil utilized as a subgrade material. …”
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CREATION OF AN ACTIVE ELEMENT OF A NEW BRANCH OF KNOWLEDGE ECONOMY – THE DIGITAL ECONOMY by V. L. Souponitsky, M. I. Kuternin, Ya. D. Vishnyakov

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Real-time prediction of port water levels based on EMD-PSO-RBFNN by Lijun Wang, Shenghao Liao, Sisi Wang, Jianchuan Yin, Ronghui Li, Jingyu Guan

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Hybrid Deep Learning Techniques for Improved Anomaly Detection in IoT Environments by Hanan Abbas Mohammad

Subjects: “…CICIoT2023 Dataset, Feature scaling, IoT Security, Deep learning, LSTM Models, Whale optimization algorithm (WOA), Detect IoT Attacks.…”
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