End-to-end algorithm research in PACT — from signal processing to reconstruction solution to image processing: A review by JinJin Cheng, Shuilin Wang, Shirui Dong, Yang Wang, Xuyu Fu, Jichao Zhang, Wenkai Li, Siyu Chen, Silue Zeng, Yaguang Ren, Xiaohui Ma, Jinhai Liu, Mingjian Sun, Rongkang Gao, Chengbo Liu

“…To overcome these limitations, researchers have developed various advanced algorithms that span the entire image reconstruction pipeline. …”
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Thermal-hydraulic characteristics and optimization of coiled-tube resistance furnace based on response surface method and multi-objective genetic algorithms by Ruochen Zhang, Yinglong Wu, Juan Xiao, Simin Wang

“…Additionally, a new correlation formula was developed by incorporating the Dean number, coil curvature, and dimensionless pitch as correction factors. …”
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Algorithm for estimating the absolute total electron content of the ionosphere from dual-frequency phase and range satellite measurements by A. S. Shapkin

“…Objectives. The problem of developing an algorithm for estimating the absolute total electron content of the ionosphere from dual-frequency phase and range satellite measurements for a single receiving station of global navigation satellite systems is being solved.Methods. …”
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A Novel Hybrid Optimizer Based on Coati Optimization Algorithm and Differential Evolution for Global Optimization and Constrained Engineering Problems by Saptadeep Biswas, Binanda Maiti, Gyan Singh, Absalom E. Ezugwu, Kashif Saleem, Laith Abualigah, Aseel Smerat, Uttam Kumar Bera

“…Abstract This paper presents a novel hybrid metaheuristic, the Hybrid Coati Optimization Algorithm with Differential Evolution (HCOADE), developed to address complex global optimization tasks and constrained engineering design problems. …”
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Clinical potential and experimental validation of prognostic genes in hepatocellular carcinoma revealed by risk modeling utilizing single cell and transcriptome constructs by Hang Deng, Xu Wang, Zi-Ang Jiang, Jian Xu, Yu Zhang, Yao Zhou, Jun Gong, Xiang-Yu Lu, Yi-Fu Hou, Hao Zhang

“…Subsequently, univariate Cox regression analysis and PH assumption test were performed, and a risk model was developed using an optimal algorithm from 101 combinations on the TCGA-LIHC dataset to pinpoint prognostic genes. …”
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Modeling uncertainties associated with decision-making algorithms based on similarity measures of possibility belief interval-valued fuzzy hypersoft setting by Mamika Ujianita Romdhini, Faisal Al-Sharqi, R.H. Al-Obaidi, Zahari Md. Rodzi

“…To overcome this limitation, our work aims to develop a novel hyperstructure called a possibility interval-valued fuzzy hypersoft set (PIVFHS-set). …”
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A Novel Search Algorithm and Scan Time Estimation in Airborne Ground Penetrating Radar Using Cell Footprint Meshing by Morteza Kazerooni, Ehsan Shahroosvand

“…To mitigate these challenges, this paper introduces a novel theoretical search algorithm predicated on cell footprint meshing. …”
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Dynamic Error Modeling and Predictive Compensation for Direct-Drive Turntables Based on CEEMDAN-TPE-LightGBM-APC Algorithm by Manzhi Yang, Hao Ren, Shijia Liu, Bin Feng, Juan Wei, Hongyu Ge, Bin Zhang

“…Our methodology comprises four key stages: Complete Ensemble Empirical Mode Decomposition with Adaptive Noise (CEEMDAN)-based decomposition of historical error data, development of component-specific prediction models using Tree-structured Parzen Estimator (TPE)-optimized Light Gradient Boosting Machine (LightGBM) algorithms for each Intrinsic Mode Function (IMF), integration of component predictions to generate initial values, and application of the Adaptive Prediction Correction (APC) module to produce final predictions. …”
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Predicting Soft Soil Settlement with a FAGSO-BP Neural Network Model by Binhui Ma, Yarui Xiao, Tian Lan, Chao Zhang, Zengliang Wang, Zeshi Xiang, Yuqi Li, Zijing Zhao

“…Aiming at the problem that it is difficult to consider the prediction of foundation settlement in the case of multi-parameter coupling effect by theoretical formulas and numerical analysis, the fireworks algorithm with gravitational search operator (FAGSO) is introduced into the BP neural network model, and the FAGSO algorithm aims to enhance the neural network’s weight and threshold adjustment process; so, a new soft ground settlement prediction model was developed which uses a fireworks algorithm integrated with a gravitational search operator to optimize a BP neural network (referred to as FAGSO-BP). …”
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The GRAZ Method—Determination of Urban Surface Temperatures from Aerial Thermography Based on a Three-Dimensional Sampling Algorithm by Daniel Rüdisser, Thomas Posch, Wolfgang Sulzer

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Variogram modelling optimisation using genetic algorithm and machine learning linear regression: application for Sequential Gaussian Simulations mapping by André William Boroh, Alpha Baster Kenfack Fokem, Martin Luther Mfenjou, Firmin Dimitry Hamat, Fritz Mbounja Besseme

“…The objective of this study is to develop an advanced approach to variogram modelling by integrating genetic algorithms (GA) with machine learning-based linear regression, aiming to improve the accuracy and efficiency of geostatistical analysis, particularly in mineral exploration. …”
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A Comprehensive System to Support Decision Making in Highly Complex Project Portfolio Situations by Efrain Solares, Eduardo Fernandez, Carlos A. Coello Coello, Xochitl Segura Lozano, Reimundo Moreno-Cepeda, Raymundo Diaz

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Production Capacity Prediction for Tight Gas Reservoirs Based on ADASVRLGBM by MENG Sihai, ZHANG Zhansong, GUO Jianhong, HAN Zihao, ZENG Weijie, LYU Hengyang

“…The findings offer theoretical and practical support for the efficient development of tight gas reservoirs and valuable insights for extending the application of similar models.…”
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Intelligent Operation Dynamic Characteristics of Heat Pump System in Integrated Electric-thermal Cooperative Grid Based on Game Optimization Algorithm by Liang Anqi, Zeng Shuang, Ren Jiahang, Zhang Xinyue, Cao Feng, Yu Xiaoling, Song Yulong, Xing Qijing, Yang Xu, Ma Lin

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PRIVATE TECHNIQUE OF FORMATION OF REQUIREMENTS TO INFORMATION PROTECTION SYSTEMS FROM UNAUTHORIZED ACCESS TO AUTOMATED BATH SYSTEMS USING GENETIC ALGORITHM by I. G. Drovnikova, A. A. Zmeev, E. A. Rogozin

“…A private methodology has been developed that determines the parameters of the symbolic genetic algorithm (GA) for creating a software package for analysis, evolutionary modeling, and forming quantitative requirements for GIS from un-authorized access to speakers using the Matlab 13 application software to implement GA in the Optimization toolbox programming environment.Conclusion. …”
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Building and Eroding the Citizen–State Relationship in the Era of Algorithmic Decision-Making: Towards a New Conceptual Model of Institutional Trust by Jaana Parviainen, Anne Koski, Laura Eilola, Hannele Palukka, Paula Alanen, Camilla Lindholm

“…This theoretical paper aims to develop a novel conceptual model—the institutional trust model—to analyse how the implementation of automated systems erodes or strengthens institutional trust between policymakers and citizens. …”
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Sustainability Analysis of the Chemical Industry in the Period of Transformation Using an Institutional Approach by V. G. Kogdenko, N. A. Kazakova

“…The author’s approach to the formation of institutional groups of companies based on criteria for assessing their business behavior model from the perspective of operational efficiency, investment activity, and financial stability is of theoretical significance. The practical value lies in the development of an algorithm for identifying points of promising economic growth and indicators for assessing industry transformation to provide support to companies with the greatest multiplier effect. …”
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Greening concept in inventory system for deteriorating items with preservation investment and price and stock dependent demand via marine predators algorithm by Hachen Ali, Gobinda Chandra Panda, Adel Fahad Alrasheedi, Ali Akbar Shaikh, Jeonghwan Gwak

“…To solve it efficiently, this study employs the Marine Predators Algorithm (MPA)—a newly developed metaheuristic algorithm well-suited for continuous, nonlinear optimization. …”
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A Study on the Establishment of a Variable Stiffness Physical Model of Abdominal Soft Tissue and an Interactive Massage Force Prediction Algorithm by Xinyi Tang, Ping Shi, Zhenjie Luo, Sujiao Li, Hongliu Yu

“…Furthermore, a transformer-based machine learning algorithm was developed. This algorithm predicts interaction forces using anthropometric and physiological characteristics. …”
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Automatic Identification of Rock Discontinuity Sets by a Fuzzy C-Means Clustering Method Based on Artificial Bee Colony Algorithm by Peng Li, Tianqi Chen, Yan Liu, Meifeng Cai, Liang Sun, Peitao Wang, Yu Wang, Xuepeng Zhang

“…An improved artificial bee colony (ABC) algorithm is proposed and combined with the fuzzy C-means (FCM) clustering method to develop an FCM clustering method for automatically identifying rock discontinuity sets based on the ABC algorithm (FCM-ABC method). …”
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