Autogenous shrinkage and early cracking of massive foundation slabs by Nesvetaev Grigory, Koryanova Yulia, Yazyev Batyr

“…The risk of early cracking due to temperature gradients in the early period of concrete hardening of massive monolithic reinforced concrete structures determines the relevance of research into the possibilities of regulating temperature-shrinkage stresses. …”
Get full text

A Novel Transformer-Based Approach for Reliability Evaluation of Composite Systems With Renewables and Plug-in Hybrid Electric Vehicles by Chiranjeevi Yarramsetty, Tukaram Moger, Debashisha Jena, Veeranki Srinivasa Rao

“…To address these issues, this research presents an advanced mixed-integer linear programming (MILP)-based algorithm for optimizing EV charging. …”
Get full text

Machine learning for predicting medical outcomes associated with acute lithium poisoning by Omid Mehrpour, Varun Vohra, Samaneh Nakhaee, Seyed Ali Mohtarami, Farshad M. Shirazi

Get full text

Lifetime imaging of the discrete nanophosphors in biological systems by A. O. Zvyagintcev, A. V. Yudintsev, A. Maleki, V. A. Vodeneev, A. V. Zvyagin

Get full text

Prevalence, distribution, and impact of mild cognitive impairment in Latin America, China, and India: a 10/66 population-based study. by Ana Luisa Sosa, Emiliano Albanese, Blossom C M Stephan, Michael Dewey, Daisy Acosta, Cleusa P Ferri, Mariella Guerra, Yueqin Huang, K S Jacob, Ivonne Z Jiménez-Velázquez, Juan J Llibre Rodriguez, Aquiles Salas, Joseph Williams, Isaac Acosta, Maribella González-Viruet, Milagros A Guerra Hernandez, Li Shuran, Martin J Prince, Robert Stewart

“…Standardised assessments of mental and physical health, and cognitive function were carried out including informant interviews. An algorithm was developed to define Mayo Clinic amnestic MCI (aMCI). …”
Get full text

Robust techno-economic optimization of energy hubs under uncertainty using active learning with artificial neural networks by Aya M. A. Heikal, Shady H. E. Abdel Aleem, Ragab A. El-Sehiemy, Almoataz Y. Abdelaziz

“…However, their operation is often challenged by the need for techno-economic trade-offs and the uncertainties related to supply and demand. This research presents a multi-objective optimizing framework for EH operations tackling these techno-economic aspects under uncertainty. …”
Get full text

Forecasting the potential of global marine shipping carbon emission under artificial intelligence based on a novel multivariate discrete grey model by Zirui Zeng, Junwen Xu, Shiwei Zhou, Yufeng Zhao, Yansong Shi

“…Furthermore, the optimal nonlinear parameters are determined by Grey Wolf optimization algorithm to improve the prediction performance, enhancing the model’s predictive performance. …”
Get full text

A measurement study of the environmental quality and medical expenditures of elderly individuals: causal inference based on machine learning by Yu Zhang, Sheng Chen, Dewen Liu

“…However, the study’s scope is limited by the environmental quality index and the extent of data coverage, indicating a need for further research expansion.…”
Get full text

Resilient VPP cost optimization in DER-driven microgrids for large distribution systems considering uncertainty during extreme events by T.D. Suresh, M. Thirumalai, R. Hemalatha, Mohit Bajaj, Vojtech Blazek, Lukas Prokop

Get full text

An intelligent hybrid grey wolf-particle swarm optimizer for optimization in complex engineering design problem by Muhammad Suhail Shaikh, Haoyue Lin, Senlin Xie, Xiaoqing Dong, Yifan Lin, Chandan Kumar Shiva, Wulfran Fendzi Mbasso

Get full text

Assessment of Adaptive Polling Contention Resolution for Optical Switching in Edge Data Center Networking by Fu Wang, Bo Liu, Xuwei Xue, Lijia Zhang, Qi Zhang, Qinghua Tian, Feng Tian, Dong Guo, Xiangjun Xin

Get full text

Process parameter optimization of laser beam machining for AISI -P20 mold steel using ANFIS method by Abdullah Eaysin, Sarower Kabir, Ebru Gunister, Nur Jahan, Amir Hamza, Muhammad Ali Zinnah, Adib Bin Rashid

Get full text

Machine-learning aided calibration and analysis of porous media CFD models used for rotating packed beds by Ahmed M. Alatyar, Abdallah S. Berrouk

“…The proposed research is an attempt to advance the state-of-the-art of the numerical modelling of RPB by combining Computational Fluid Dynamics and Machine Learning approaches. …”
Get full text

Modelling and Optimisation of Hysteresis and Sensitivity of Multicomponent Flexible Sensing Materials by Kai Chen, Qiang Gao, Yijin Ouyang, Jianyong Lei, Shuge Li, Songxiying He, Guotian He

“…In this paper, a new Kepler optimisation algorithm (HKOA) and a long short-term memory network optimisation model (HKOA-LSTM) based on HKOA are proposed, and analytical models of the hysteresis and sensitivity are derived, respectively. …”
Get full text

Metasurface-enabled optical encryption and steganography with enhanced information security by Xing Wen, Bu Changke, Zhang Xiaoyi, Choi Duk-Yong, Li Yang, Yue Wenjing, Cheng Jiaqi, Li Zhancheng, Chen Shuqi, Gao Song

Get full text

Comparative analysis of machine learning models for malaria detection using validated synthetic data: a cost-sensitive approach with clinical domain knowledge integration by Gudi V. Chandra Sekhar, Chekol Alemu

“…Machine learning offers promising solutions for automated detection, but systematic algorithm comparison using clinically validated data remains limited. …”
Get full text

Toward sustainable machining of hardened SKD11: Machine learning-based evaluation and optimization of surface roughness, tool wear, and CO2 emissions by Van-Canh Nguyen, Dung Hoang Tien, Van-Hung Pham, Thinh-Viet Nguyen, Thuy-Duong Nguyen

“…This research proposes an integrated methodology combining Random Forest regression modeling with the NSGA-III evolutionary algorithm for simultaneous optimization of surface quality and environmental performance during fine turning of SKD11 steel under hybrid cooling conditions merging Minimum Quantity Lubrication (MQL) with Vortex tube cooling. …”
Get full text

GNSS-RTK-Based Navigation with Real-Time Obstacle Avoidance for Low-Speed Micro Electric Vehicles by Nuksit Noomwongs, Kanin Kiataramgul, Sunhapos Chantranuwathana, Gridsada Phanomchoeng

“…The system employs a scored predicted trajectory algorithm that simultaneously optimizes path-following accuracy and obstacle evasion. …”
Get full text

Edge_MVSFormer: Edge-Aware Multi-View Stereo Plant Reconstruction Based on Transformer Networks by Yang Cheng, Zhen Liu, Gongpu Lan, Jingjiang Xu, Ren Chen, Yanping Huang

“…With the rapid advancements in computer vision and deep learning, multi-view stereo (MVS) based on conventional RGB cameras has emerged as a promising and cost-effective tool for botanical research. However, existing methods often struggle to capture the intricate textures and fine edges of plants, resulting in suboptimal 3D reconstruction accuracy. …”
Get full text

A clustering-based multi-setting overcurrent protection approach with optimisation and experimental validation for distribution networks by Feras Alasali, Mohamed Salem, Haytham Y. Mustafa, Hassen Loukil, Naser El-Naily, Abdelaziz Salah Saidi, William Holderbaum

Get full text