Application of multi-objective neural network algorithm in industrial polymerization reactors for reducing energy cost and maximising productivity by Fakhrony Sholahudin Rohman, Sharifah Rafidah Wan Alwi, Dinie Muhammad, Ashraf Azmi, Zainuddin Abd Manan, Jeng Shiun Lim, Hong An Er, Siti Nor Azreen Ahmad Termizi

“…The decision variable plots show that both initiators in the reacting zone highly affected the optimal solution with the opposite action.…”
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Research on the influencing factors of PM2.5 in China at different spatial scales based on machine learning algorithm by Meiru Chen, Jun Liu, Biwu Chu, Di Zhao, Ruiyu Li, Tianzeng Chen, Qingxin Ma, Yonghong Wang, Peng Zhang, Hao Li, Hong He

“…In this study, the Light Gradient Boosting Machine (LightGBM) model was employed in combination with SHapley Additive exPlanation (SHAP) methods to explore the key impact factors (precursor emissions, meteorological conditions, geographical features and socioeconomic factors) on average annual PM2.5 levels from 2015 to 2022 at both city and grid levels in China. The results show that incorporating pollutant concentration into the model enhances its performance, with R2 improving significantly from 0.79 to 0.93, which underscores the importance of pollutant concentration and the outstanding predictive performance of the LightGBM algorithm. …”
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Integrating Hyperspectral, Thermal, and Ground Data with Machine Learning Algorithms Enhances the Prediction of Grapevine Yield and Berry Composition by Shaikh Yassir Yousouf Jewan, Deepak Gautam, Debbie Sparkes, Ajit Singh, Lawal Billa, Alessia Cogato, Erik Murchie, Vinay Pagay

“…The use of multimodal data and machine learning (ML) algorithms could overcome these challenges. Our study aimed to assess the potential of multimodal data (hyperspectral vegetation indices (VIs), thermal indices, and canopy state variables) and ML algorithms to predict grapevine yield components and berry composition parameters. …”
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Nature–Inspired Metaheuristic Optimization for Control Tuning of Complex Systems by Jesús Garicano-Mena, Matilde Santos

“…Two bio-inspired meta-heuristic optimization algorithms –the Antlion Optimizer (ALO) and the Whale Optimization Algorithm (WOA)– have been applied to two different dynamic systems: the Hoop & Ball electromechanical system, a system where a linearized description is adequate; and to a Wind Turbine–Generator–Rectifier, as an example of a complex non-linear dynamic system. …”
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A novel hybrid genetic algorithm and Nelder-Mead approach and it’s application for parameter estimation [version 3; peer review: 2 approved, 1 approved with reservations] by Neha Majhi, Rajashree Mishra

“…To address this challenge, we introduce a novel hybrid optimization strategy that integrates the Nelder-Mead (NM) technique and the Genetic Algorithm (GA), named the Genetic and Nelder-Mead Algorithm (GANMA). …”
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Comparison of mask R-CNN and YOLOv8-seg for improved monitoring of the PCB surface during laser cleaning by Lu Qiao, Markus Veltrup, Bernd Mayer

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Efficient Discovery of Association Rules in E-Commerce: Comparing Candidate Generation and Pattern Growth Techniques by Ioan Daniel Hunyadi, Nicolae Constantinescu, Oana-Adriana Țicleanu

“…This paper addresses this gap by evaluating both algorithms in terms of execution time, memory consumption, rule generation volume, and rule strength (support, confidence, and lift). …”
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Intelligent long jump evaluation system integrating blazepose human pose assessment algorithm in higher education sports teaching by Tao Wang

“…Secondly, it proposes a method for measuring approach run speed based on virtual line velocity algorithm. Subsequently, by combining the BlazePose human pose assessment algorithm with posture matching algorithms, a technique for assessing mid-air long jump movements integrated with BlazePose human pose assessment algorithm is designed. …”
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A Local Radial Basis Function Method for Numerical Approximation of Multidimensional Multi-Term Time-Fractional Mixed Wave-Diffusion and Subdiffusion Equation Arising in Fluid Mech... by Kamran, Ujala Gul, Zareen A. Khan, Salma Haque, Nabil Mlaiki

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Sap flow simulation of Cunninghamia lanceolata in degraded red soil region based on back propagation neural network by Tu Jie, Liu Qijing, Wei Jun, Hu Liang

“…Four main factors including air temperature, relative air humidity, average net radiation and vapor pressure deficit were chosen as the input variables, and the sap flow velocity was selected as the output variable, to train and examine the neural network model with Bayesian regularization algorithm and Levenberg-Marquardt algorithm. The optimum network model of C. lanceolata sap flow velocity was built with the topological structure of 4-10-1.Based on Bayesian regularization algorithm and Levenberg-Marquardt algorithm, good fitting results were obtained from the linear regression between predictive and measured values, with correlation coefficients both higher than 0.93. …”
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Detection, Isolation, and Identification of Multiplicative Faults in a DC Motor and Amplifier Using Parameter Estimation Techniques by Sanja Antić, Marko Rosić, Branko Koprivica, Alenka Milovanović, Milentije Luković

“…The modification introduced to the SIA limits the data length used in least squares estimation, thereby reducing the impact of transient effects on parameter accuracy. Both algorithms achieved high model output-to-measured signal agreement, up to 98.6% under nominal conditions and above 95% during almost all fault scenarios. …”
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Multi-Population Optimization Framework Based on Plant Evolutionary Strategy and Its Application to Engineering Design Problems by Hongwei Cheng, Jun Li, Xiaoming Zhang, Tingjuan Li, Panpan Zhang

“…Abstract Optimization problems are widespread across various fields, including industry, agriculture, and healthcare. Metaheuristic algorithms (MAs) are commonly employed to solve these problems due to their flexibility and robustness. …”
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Comparative Diagnostic Efficacy of HeartLogic and TriageHF Algorithms in Remote Monitoring of Heart Failure: A Cohort Study by David Ledesma Oloriz, Daniel García Iglesias, Rodrigo Ariel di Massa Pezzutti, Fernando López Iglesias, José Manuel Rubín López

“…Until now, no other trial has evaluated both algorithms in a head-to-head comparison. The primary objective is to compare diagnostic accuracy of both algorithms in a similar cohort of patients. …”
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Optimization on Electric Construction Machinery Considering Time‐of‐Use Electricity Price Based on the Improved Crested Porcupine Optimizer Algorithm by Dawei Wang, Bo Gao, Lei Zhang

“…Rigorous analysis and comparison with existing algorithms demonstrate that ICPO significantly reduces both iteration count and financial expenditure. …”
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MODIFIED WEIGHT MATRIX USING PRIM’S ALGORITHM IN MINIMUM SPANNING TREE (MST) APROACH FOR GSTAR(1;1) MODEL by Nur'ainul Miftahul Huda, Fransiskus Fran, Yundari Yundari, Lisa Fikadila, Fauziah Safitri

“…The Generalized Space-Time Autoregressive (GSTAR) model is able to utilize modeling of both space and time simultaneously. The existence of a weight matrix is one of the aspects that established this model. …”
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An adaptive k-means clustering algorithm based on grid and domain centroid weights for digital twins in the context of digital transformation by Wei Cai, Fei Yang, Bo Yao, Chuanxian Li, Guangyu Sun

“…Additionally, traditional algorithms struggle to efficiently handle both large historical datasets and newly generated streaming data simultaneously. …”
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Optimized PID Tuning in Longitudinal Control of Electric Autonomous Vehicles: A Comparative Study of Jellyfish Search and Genetic Algorithm by Asmaa Guendouz, Mustapha Hatti, Abdelhalim Tlemçani

“… Tuning PID controllers to enhance longitudinal control and speed planning of Electric Autonomous Vehicles is a challenge, which can be effectively addressed by evolving metaheuristic algorithms. This paper evaluates the performance of the Jellyfish Search (JS) optimizer and Genetic Algorithms (GA) against conventional PID tuning methods in longitudinal control systems. …”
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Performance of Structure Equipped AP-TMD Compared with MTMD, ATMD, and PTMD against Earthquake Using Genetic Fuzzy Algorithm by F. Hadizadeh, F. Akhlaghi Amiri, H. Shariatmadar

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A novel trajectory learning method for robotic arms based on Gaussian Mixture Model and k-value selection algorithm. by Jingnan Yan, Yue Wu, Kexin Ji, Cheng Cheng, Yili Zheng

“…The effectiveness of the proposed method is validated through both simulation experiments with two-dimensional theoretical nonlinear dynamic systems and physical experiments with actual robotic arm data. …”
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Unraveling Meteorological Dynamics: A Two-Level Clustering Algorithm for Time Series Pattern Recognition with Missing Data Handling by Ekaterini Skamnia, Eleni S. Bekri, Polychronis Economou

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