LM-CNN-based Automatic Cost Calculation Model for Power Transmission and Transformation Projects by Xiaolin WU, Ling LUAN, Lianwu PAN, Hailong LI

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Design and Research of Low-Cost and Self-Adaptive Terrestrial Laser Scanning for Indoor Measurement Based on Adaptive Indoor Measurement Scanning Strategy and Structural Characteri... by Zhongyue Zhang, Huixing Zhou, Shun Wang, Chongwen Xu, Yannan Lv

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Integrated intelligent neuro-evolutionary computing approach to study SEIRC model representing campylobacteriosis transmission dynamics by Muhammad Shoaib, Saba Kainat, Areej Abdullah Alabduljabbar, Kottakkaran Sooppy Nisar, Muhammad Asif Zahoor Raja

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Optimal scheduling and energy management of a multi-energy microgrid with electric vehicles incorporating decision making approach and demand response by Genfu Xiao, Huan Liu, Javad Nabatalizadeh

“…The main objective of the research is to minimize operational costs and emissions in the face of uncertain conditions. …”
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RETRACTED ARTICLE: Attention Pyramid Convolutional Neural Network Optimized with Big Data for Teaching Aerobics by Chunmei Chen

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Multiobjective optimization of a pressure maintaining ball valve structure based on RSM and NSGA-II by Pengyun Wen, Suling Wang, Jinbo Li, Kangxing Dong, Zhihui Ren, Yanchun Li, Ruyi Qu, Tingting Li

“…This research proposes a novel approach to enhance the pressure-holding capacity of ball valves, providing certain theoretical guidance for improving the performance of pressure-retaining coring equipment.…”
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Grid Integration of PV Systems With Advanced Control and Machine Learning Strategies by Venkata Reddy Kota, Bapayya Naidu Kommula, Asif Afzal, Mohammad Asif, Liew Tze Hui

“…Accordingly, an innovative approach to enhance grid supply using PV systems with Machine Learning Strategy is proposed in this research. The primary objective is to optimize voltage output from PV system while concurrently maximizing power using a novel Modified Zeta-Cuk converter, coupled with Hybrid Maximum Power Point Tracking (MPPT) algorithm combining Incremental Conductance and Bat Optimization Algorithm (InC-BOA). …”
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Experimental and Explicit FE Studies on Flexural Behavior of Superposed Slabs by Qi Ye, Ping Zhang, Ke Ye, Wei Wang, Zeshen Li, Yueqing Gao, Tianyu Xie, Chaofeng Liang

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Identifying Influential Nodes Based on Evidence Theory in Complex Network by Fu Tan, Xiaolong Chen, Rui Chen, Ruijie Wang, Chi Huang, Shimin Cai

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Early Failure Diagnosis of Scraper Conveyor Gearboxes Based on DS Evidence Theory and Multimodal Data Fusion by Long Feng, Zeyu Ding, Qiang Zhang, Feng Zhou, Jin Peng Su, Yang Wang, Xinye Liu, Yibing Yin

“…Through comparison, it is found that compared with the fusion methods, such as high‐dimensional variational self‐encoder, and single diagnosis methods, such as the Random Forest Algorithm, the method researched in this paper is more suitable for the early fault warning of the scraper conveyor gearbox of the well coal mine, and the experimental validation finds that the average accuracy rate of the early fault recognition can be up to 96.6%.…”
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Estimating and mapping tailings properties of the largest iron cluster in China for resource potential and reuse: A new perspective from interpretable CNN model and proposed spectr... by Haimei Lei, Nisha Bao, Moli Yu, Yue Cao

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Increased 30-day mortality associated with weekend emergency admission for alcohol-related liver disease in England: a record-linkage study using the Clinical Practice Research Dat... by Keith Bodger, Susanna Dodd, Thomas Mair, Steve Hood, Kate M Fleming, Benjamin Silberberg, Pietà Schofield, William Tench

“…Increased 30-day mortality for WE admissions has been reported for several acute conditions, but data for ARLD are limited. We aimed to compare patient and pathway characteristics between WE and weekday (WD) admissions and investigate the ‘weekend effect’ on mortality.Methods Retrospective cohort study (2008–2018) using linked electronic databases (Hospital Episode Statistics-Clinical Practice Research Datalink and death registration) including 17 575 first emergency admissions identified using the Liverpool ARLD algorithm. …”
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Intellectual or developmental disabilities and curative female breast cancer treatment: A population-based retrospective cohort studyLay summary by Rebecca L. Hansford, Brooke Wilson, Rebecca Griffiths, Alyson L. Mahar

“…Differences in breast cancer treatment among individuals with and without IDD could contribute to survival disparities. We compared breast cancer treatment receipt among adults with and without IDD. …”
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Legal Means of Providing the Principle of Transparency of the Artificial Intelligence by Yu. S. Kharitonova

“…Objective: to analyze the current technological and legal theories in order to define the content of the transparency principle of the artificial intelligence functioning from the viewpoint of legal regulation, choice of applicable means of legal regulation, and establishing objective limits to legal intervention into the technological sphere through regulatory impact.Methods: the methodological basis of the research is the set of general scientific (analysis, synthesis, induction, deduction) and specific legal (historical-legal, formal-legal, comparative-legal) methods of scientific cognition.Results: the author critically analyzed the norms and proposals for normative formalization of the artificial intelligence transparency principle from the viewpoint of impossibility to obtain the full technological transparency of artificial intelligence. …”
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Integrated decision support system for optimizing time and cost trade offs in linear repetitive construction projects by Ahmed Gouda Mohamed, Ali Hassan Ali, Ahmed Adel Abdelhady

“…Unlike previous studies that focus solely on single-algorithm applications, this research evaluates two metaheuristic optimization strategies—Genetic Algorithm (GA) and Particle Swarm Optimization (PSO)—within a consistent problem setting. …”
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Enhancing root-zone soil moisture estimation using Richards' equation and dynamic surface soil moisture data by Xizhuoma Zha, Wenbin Zhu, Yan Han, Aifeng Lv

“…The application of the Shuffled Complex Evolution-University of Arizona (SCE-UA) algorithm significantly enhances the model's accuracy. …”
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Knee injury prevention via personalized exercise using EDAS method and Sugeno Weber operator under complex q rung orthopair fuzzy data by ShiJie Zhang, Chuxin Sima, TaiFu Hou

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Key technologies for path planning of coal mine wheeled robots integrating fast traversal random trees and Q-reinforcement learning by Tianfei WEN, Yu GAO, Quan WANG, Chuang YANG

“…The experimental results show that the global path length generated by the research method can be reduced by at least 10.71% compared with other algorithms in the planned path length test. …”
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Rice Leaf Disease Classification—A Comparative Approach Using Convolutional Neural Network (CNN), Cascading Autoencoder with Attention Residual U-Net (CAAR-U-Net), and MobileNet-V2... by Monoronjon Dutta, Md Rashedul Islam Sujan, Mayen Uddin Mojumdar, Narayan Ranjan Chakraborty, Ahmed Al Marouf, Jon G. Rokne, Reda Alhajj

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Optimal Design of Genetic-fuzzy Control Strategy for Plug-in Parallel Hybrid Electric Vehicle by Cheng Fei, Zhao Han, Yin Andong

“…Taking the plug- in hybrid electric vehicle as the research object,in order to improve the fuel economy and emission performance,a fuzzy control strategy which can realize the reasonable distribution of demand torque between the engine and the drive motor is designed,and the method of genetic algorithm to optimize fuzzy control rules is introduced in detail. …”
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