Application of the Bidirectional Encoder Representations from Transformers Model for Predicting the Abbreviated Injury Scale in Patients with Trauma: Algorithm Development and Vali... by Jun Tang, Yang Li, Keyu Luo, Jiangyuan Lai, Xiang Yin, Dongdong Wu

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The application of machine learning algorithms for predicting length of stay before and during the COVID-19 pandemic: evidence from Wuhan-area hospitals by Yang Liu, Yang Liu, Renzhao Liang, Chengzhi Zhang

“…ObjectiveThe COVID-19 pandemic has placed unprecedented strain on healthcare systems, mainly due to the highly variable and challenging to predict patient length of stay (LOS). …”
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Stochastic Travelling Advisor Problem Simulation with a Case Study: A Novel Binary Gaining-Sharing Knowledge-Based Optimization Algorithm by Said Ali Hassan, Yousra Mohamed Ayman, Khalid Alnowibet, Prachi Agrawal, Ali Wagdy Mohamed

“…GSK algorithm is based on the concept of how humans acquire and share knowledge during their life span. …”
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AI Services-Oriented Dynamic Computing Resource Scheduling Algorithm Based on Distributed Data Parallelism in Edge Computing Network of Smart Grid by Jing Zou, Peizhe Xin, Chang Wang, Heli Zhang, Lei Wei, Ying Wang

“…To this end, a mixed integer linear programming (MILP) model and a Deep Reinforcement Learning (DRL)-based algorithm are proposed. Simulation results show that the proposed DRL-based algorithm outperforms the benchmark in terms of profit of AI service provider, backlog of distributed model training tasks, running time and multi-objective optimization.…”
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Applications of machine learning algorithms in lithological mapping of Saint Katherine Neoproterozoic rocks in the South Sinai of Egypt using hyperspectral PRISMA data by Mohamed W. Ali-Bik, Tehseen Zafar, Safaa M. Hassan, Mohamed F. Sadek, Saif M. Abo Khashaba

“…Automatic lithological mapping has been carried out using Support Vector Machine (SVM), and Random Forest (RF) machine learning algorithms applied to hyperspectral PRISMA data with an overall accuracy (OA) of up to 91.41% and 86.64%, respectively. …”
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Dynamic and static integrated classification model of gas well based on XGBoost algorithm—an example from block S of Sulige tight sandstone gas field by Shuangshuang Zhang, Shuangshuang Zhang, Xiangdong Yu, Xiuli Gao, Donglin Li, Shijun Huang

“…The main factors affecting the classification of class I and class II wells are initial daily production and permeability, and the main factors affecting the classification of class III wells are initial daily production and the effective thickness of the gas layer. …”
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A Proposed Therapeutic Algorithm Based on Multiple Case Analysis Regarding the Repair Options of Iatrogenic Biliary Lesions Following Open and Laparoscopic Surgery by Cosmin Alec Moldovan, Dan Florin Ungureanu, Vladimir Beliș

“…Objectives: the goal of this paper is to present an algorithm of choices and their consequences for clinical conduit in the case of iatrogenic biliary lesions discovered in the course of open or laparoscopic procedures of the main biliary pathways, based on our experience. …”
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Taylor-Spotted Cat Optimization (Taylor-SCO): An Energy-Efficient Cluster Head Selection Algorithm with Improved Trust Factor for Data Routing in WSN by Shivaraj Kalburgi, M. Manimozhi

“…Moreover, the developed Taylor-SCO algorithm is developed by combining the Spotted Hyena Optimizer (SHO), Cat Swarm Optimization (CSO) algorithm, and Taylor series. …”
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Prediction of China’s Polysilicon Prices: A Combination Model Based on Variational Mode Decomposition, Sparrow Search Algorithm and Long Short-Term Memory by Jining Wang, Lin Jiang, Lei Wang

“…The research shows that decomposing the original polysilicon time series using the VMD algorithm effectively extracts the main features of polysilicon price data, reducing data instability. …”
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A Novel Decision Support System for Discrete Cost-CO2 Emission Trade-off in Construction Projects: The Usage of Imitate Genetic Algorithm by Mohammad Ali Beheshti-Nia, Nahid Farazmand

“…The genetic algorithm proposing here, is the new algorithm, named “imitate genetic algorithm”. …”
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Optimization Design of Multi-Blade Centrifugal Fan Based on Variable Weight PSO-BP Prediction Model and Multi-Objective Beluga Optimization Algorithm by Wenyang Jin, Jiaxuan Wang, Junyu Li, Ren Xu, Ming Zhou, Qibai Huang

“…Multi-blade centrifugal fans are the main workhorse of automotive air conditioners, and the performance of these fans affects riding comfort. …”
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Model updating method for detect and localize structural damage using generalized flexibility matrix and improved grey wolf optimizer algorithm (I-GWO) by Sina Sadraei, Majid Gholhaki, Omid Rezaifar

“…Employing optimization algorithms in structural model updating is one approach to achieve this objective. …”
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Optimization of Home Energy Management Systems in Smart Cities Using Bacterial Foraging Algorithm and Deep Reinforcement Learning for Enhanced Renewable Energy Integration by Mohammed Naif Alatawi

“…The BFMO algorithm demonstrates its adaptability to fluctuating energy costs and consumption patterns by simulating the foraging behaviour of bacteria. …”
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Development of an algorithm for effective management of the technological process of the industrial enterprise based on the programmable logic controller TM171PDM27S Schneider Elec... by V. R. Ivanovа, V. V. Novokreshenov, N. V. Rozhencova

“…The paper presents the scheme and algorithm for the effective control of the technological process of the ventilation system of an industrial enterprise based on the TM171PDM27S Schneider Electric programmable logic controller. …”
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Techniques and Models for Addressing Occupational Risk Using Fuzzy Logic, Neural Networks, Machine Learning, and Genetic Algorithms: A Review and Meta-Analysis by Chris Mitrakas, Alexandros Xanthopoulos, Dimitrios Koulouriotis

“…This article aims to present a structured literature review that utilizes computational intelligence techniques, specifically fuzzy logic, neural networks, genetic algorithms, and machine learning, to assist in the assessment of workplace risk from human factors. …”
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Coordinated Control of the Volt-Var Optimization Problem Under PV-Based Microgrid Integration into the Power Distribution System: Using the Harmony Search Algorithm by Gulcihan Ozdemir, Pierluigi Siano, Smitha Joyce Pinto, Mohammed AL-Numay

“…The harmony search (HS) algorithm, which is a metaheuristic-based optimization algorithm, was used to determine global optimum settings of related devices to operate efficiently under changing conditions. …”
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An Improved Space Vector PWM Algorithm with a Seven-Stage Switching Sequence for Three-Level Neutral Point Clamped Voltage Source Inverters by Aleksandr N. Shishkov, Maxim M. Dudkin, Aleksandr S. Maklakov, Van Kan Le, Andrey A. Radionov, Vlada S. Balabanova

“…The main purpose of this research is to develop an improved space vector pulse-width modulation (SVPWM) algorithm for three-level (3L) neutral point clamped (NPC) voltage source inverters (VSIs). …”
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Cross-scale correlation analysis of water-induced deterioration on soft rock in coal mine underground reservoir engineering based on deep learning algorithm by Hao Liu, Zenghui Zhao, Qing Ma, Jiaze Du, Xiaoli Liu

“…To address the issues of grain crowding and segmentation difficulties in cross-scale correlation analysis, as well as the limitations of traditional etching methods, this study proposes an image grain segmentation method based on deep learning algorithms, utilizing scanning electron microscopy and image processing techniques. …”
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Application of Twisting Controller and Modified Pufferfish Optimization Algorithm for Power Management in a Solar PV System with Electric-Vehicle and Load-Demand Integration by Arunesh Kumar Singh, Rohit Kumar, D. K. Chaturvedi, Ibraheem, Gulshan Sharma, Pitshou N. Bokoro, Rajesh Kumar

“…To combat the catastrophic effects of climate change, the usage of renewable energy sources (RESs) has increased dramatically in recent years. The main drivers of the increase in solar photovoltaic (PV) system grid integrations in recent years have been lowering energy costs and pollution. …”
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Compatibility optimization of the traditional Chinese medicines ‘Eczema mixture’ based on back-propagation artificial neural network and non-dominated sorting genetic algorithm by Xin He, Zhijie Song, Yanqun Yang, Siqi Wu, Shuo Meng, Huanyu E, Hongfei Li, Guoyu Ding

“…In the EM formula, Huangbai and Kushen were identified as the main botanical drugs with anti-inflammatory and anti-allergic roles. …”
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