Prediction of Mechanical Properties of Cotton Fibers by a BP Neural Network Model Optimized by Genetic Algorithm by Junyang Wang, Limin Zhang, Xiang Liu, Jinchan Zhang, Wanxin Wang, Hong Xu

“…In this experiment, a general purpose BP neural network (BP) based on genetic algorithm (GA) was developed for predicting fiber properties. …”
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A centerline symmetry and double-line transformation based algorithm for large-scale multi-objective optimization by Xiangjuan Wu, Yuping Wang, Ziqing Wang

“…It takes not only some non-dominated solutions but also their centerline symmetric points as the reference solutions, which can enhance the population diversity to avoid the algorithm falling into local minima. …”
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Protocol for validating an algorithm to identify neurocognitive disorders in Canadian Longitudinal Study on Aging participants: an observational study by Verena Menec, Teresa Liu-Ambrose, David B Hogan, Megan E O’Connell, Mary Thompson, Andrew P Costa, Eric E Smith, Changbao Wu, Aaron Jones, Andrew Wister, Christina Wolfson, Parminder Raina, Jinhui Ma, Lauren E Griffith, Christopher Patterson, Alexandra J Mayhew, Benoit Cossette, David Hogan, Howard Chertkow, Susan Kirkland, Megan O'Connell, Vanessa Taler, Andrew Costa, Jacqueline McMillan, Gerry Mugford, Theone Paterson

“…Introduction In population-based research, disease ascertainment algorithms can be as accurate as, and less costly than, performing supplementary clinical examinations on selected participants to confirm a diagnosis of a neurocognitive disorder (NCD), but they require cohort-specific validation. …”
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Enhanced intelligent train operation algorithms for metro train based on expert system and deep reinforcement learning. by Yunhu Huang, Wenzhu Lai, Dewang Chen, Geng Lin, Jiateng Yin

“…In this paper, expert knowledge is combined with deep reinforcement learning algorithm (Proximal Policy Optimization, PPO) and two enhanced intelligent train operation algorithms (EITO) are proposed. …”
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Leveraging social circles and algorithmic processes in digital mental health tools for college students' stress management by Farhanuddin Fazaluddin Kazi, Jomara Sandbulte

“…To address this gap, we developed a technological probe that integrates social features with algorithmic processes to provide recommendations for both individuals and groups, aimed at supporting students' stress management efforts. …”
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Hybrid PSO-SA Type Algorithms for Multimodal Function Optimization and Reducing Energy Consumption in Embedded Systems by Lhassane Idoumghar, Mahmoud Melkemi, René Schott, Maha Idrissi Aouad

“…The results are compared with these obtained by existing hybrid PSO-SA algorithms. In this paper, we provide also two versions of HPSO-SA (sequential and distributed) for minimizing the energy consumption in embedded systems memories. …”
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Effect of the Sampling of a Dataset in the Hyperparameter Optimization Phase over the Efficiency of a Machine Learning Algorithm by Noemí DeCastro-García, Ángel Luis Muñoz Castañeda, David Escudero García, Miguel V. Carriegos

“…Also, a level of gain is assigned to each partition allowing us to study patterns and allocate whose samples are more profitable. …”
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Fluid-Structure Interaction Analysis of Carotid Artery Blood Flow with Machine Learning Algorithm and OpenFOAM by Banu Körbahti, Murad Kucur

“…Here, the machine learning algorithm was created by the help of an open source code Phyton. …”
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A greedy approach to solve maximum independent set problem: Differential Malatya independent set algorithm by Furkan Öztemiz

“…The proposed method is named the Differential Malatya Independent Set Algorithm (DMISA). The presented method also provides solutions to the minimum vertex cover and maximum clique problems, which are directly related to the independent set. …”
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Longitudinal Follow-up of Chronic Pulmonary Manifestations in Esophageal Atresia: A Clinical Algorithm and Review of the Literature by Virginia Mirra, Marco Maglione, Laida L. Di Micco, Silvia Montella, Francesca Santamaria

“…This integrative review describes the techniques currently used in the pediatric clinical practice for assessing EA-related respiratory disease. We also present a novel algorithm for the evaluation and surveillance of lung disease in EA. …”
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Research on Multi-Task BEV Perception Algorithm Based on LiDAR for Autonomous-Rail Rapid Trams by YAO Gang, LONG Teng, LI Cheng, YUAN Xiwen, LI Peijie, WANG Yuyi

“…Compared with LiDAR perception systems, visual perception algorithms are limited in distance detection accuracies and are sensitive to ambient lighting conditions. …”
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An ensemble deep learning framework for energy demand forecasting using genetic algorithm-based feature selection. by Mohd Sakib, Tamanna Siddiqui, Suhel Mustajab, Reemiah Muneer Alotaibi, Nouf Mohammad Alshareef, Mohammad Zunnun Khan

“…This study proposes an ensemble approach that integrates a genetic algorithm with multiple forecasting models to optimize feature selection. …”
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Performance Evaluation of the Machine Learning Algorithms Used in Inference Mechanism of a Medical Decision Support System by Mert Bal, M. Fatih Amasyali, Hayri Sever, Guven Kose, Ayse Demirhan

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Enhanced Harmony Search Algorithm for Maximum Power Point Tracking Under Partial Shading in PV Systems by Geon Hee Lee, Zong Woo Geem, Jehyuk Won

“…This paper proposes a novel MPPT algorithm based on harmony search (HS). The proposed algorithm not only overcomes the power loss induced by a wide search but also avoids falling into local maximum power points under PSCs. …”
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Automated assessment of bridge guardrails for regional prioritization based on open-source data and deep learning algorithms by Giuseppe Santarsiero

“…The methodology not only facilitates the task of infrastructure monitoring but also helps ensure the safety of road users by timely identifying non-compliant safety barriers. …”
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Fuzzy logic, genetic algorithms, and artificial neural networks applied to cognitive radio networks: A review by Ahmed Alkhayyat, Firas Abedi, Ashish Bagwari, Pooja Joshi, Haider Mahmood Jawad, Sarmad Nozad Mahmood, Yousif K Yousif

“…This topic also covers cognitive radio network implementation and the typical learning challenges that arise in cognitive radio systems.…”
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An improved fluid flow algorithm for hydraulic fracturing: Optimizing domain volume and crack pressure update strategies by Wei Zhang, Jing Bi, Yu Zhao, Yongfa Zhang, Chaolin Wang, Yang Pan

“…The effectiveness of the algorithm is verified through three flow-solid coupling cases. …”
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Red Fox Optimization-Based Estimation Algorithms for Splitting Tensile Strength of Basalt Fiber Reinforced Concrete by Xiao Wu, Daoyong Zhu, Qin Yan

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LPCF-YOLO: A YOLO-Based Lightweight Algorithm for Pedestrian Anomaly Detection with Parallel Cross-Fusion by Peiyi Jia, Hu Sheng, Shijie Jia

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Energy Demand and CO2 Emission Forecast Model for Turkey with Deep Learning and Machine Learning Algorithms by Emre Bolat, Yagmur Arikan Yildiz

“…Both machine learning and deep learning methods have been applied, and artificial neural network (ANN), convolutional neural network (CNN), recurrent neural network (RNN), long short-term memory (LSTM), and linear regression (LR) algorithms have been used for two models. The performance of these models has been assessed using various error metrics. …”
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