A hybrid critical channels and optimal feature subset selection framework for EEG fatigue recognition by Hanying Guo, Siying Chen, Yongjiang Zhou, Ting Xu, Yuhao Zhang, Hongliang Ding

“…The model first selects critical EEG channels using the Differential Evolution (DE) algorithm, extracting important electrode channel information to enhance recognition accuracy. …”
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Stochastic black-box optimization using multi-fidelity score function estimator by Atul Agrawal, Kislaya Ravi, Phaedon-Stelios Koutsourelakis, Hans-Joachim Bungartz

“…Additionally, we showcase the algorithm’s efficacy in a complex real-world application, i.e. the optimization of a wind farm layout.…”
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Technical, forensic and organisational aspects of work with Monero cryptocurrency by V. V. Nosov, O. V. Manzhai, V. O. Kovtun

“…The work of this algorithm in the test network Stagenet is modelled. …”
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A Multi-granularity Decomposition Mechanism of Complex Tasks Based on Density Peaks by Ziling Pang, Guoyin Wang, Jie Yang

“…There are many algorithms for solving complex problems in supervised manner. …”
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Transient Voltage Information Entropy Difference Unit Protection Based on Fault Condition Attribute Fusion by Zhenwei Guo, Ruiqiang Zhao, Zebo Huang, Yongyan Jiang, Haojie Li, Yingcai Deng

“…Finally, the accuracy and reliability of the proposed algorithm were verified by extensive ATP-Draw simulation tests.…”
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Integrated Bioinformatics Identifies FREM1 as a Diagnostic Gene Signature for Heart Failure by Chenyang Jiang, Weidong Jiang

“…Integrating three machine learning methods, the least absolute shrinkage and selection operator (LASSO) algorithm, random forest (RF) algorithm, and support vector machine recursive feature elimination (SVM-RFE) are used to determine candidate diagnostic gene signals. …”
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A Reliable Approach for Solving Transmission Network Expansion Planning with Objective of Planning Cost Reduction by Yongqiu Liu

“…The obtained transmission expansion planning results show the efficiency of the proposed algorithm.…”
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Identifying RBBP7 as a Promising Diagnostic Biomarker for BK Virus-Associated Nephropathy by Yicun Wang, Yuxuan Wang, Di Zhang, Hao Zhang, Wei Wang, Xiaopeng Hu

“…Subsequently, weighted gene co-expression network analysis and support vector machines (SVM) algorithm identified RBBP7 as a robust and promising biomarker with high accuracy in both training and validation cohorts (AUC =0.938, 0.977, respectively). …”
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Harnessing synergy of machine learning and nature-inspired optimization for enhanced compressive strength prediction in concrete by Abba Bashir, Esar Ahmad, Shashivendra Dulawat, Sani I. Abba

“…This study assesses nine machine learning models, integrating conventional AI algorithms, such as artificial neural network (ANN), support vector regression (SVR), and random forest (RF) with nature-inspired optimization techniques including chicken swarm optimization (CSO), moth flame optimization algorithm (MFO), and whale optimization algorithm (WOA). …”
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Radiographic Measurements and Diagnosis of Hip Dysplasia in Infants Using Computer Vision and a Rule-Based System by Ernesto Pérez Pérez, Roberto Díaz Amador, Karina Leonor Fernández Sánchez, José Julio Requeiro Molina, José Julio Requeiro Morejón

“…<br /><strong>Methods</strong>: study of technological innovation, where the Viola-Jones artificial vision algorithm was used for the detection of structures, as well as a rule-based system with a view to a diagnosis suggestion. …”
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Gorilla Troops Optimizer Combined with ANFIS for Wire Cut EDM of Aluminum Alloy by Elango Natarajan, V. Kaviarasan, Wei Hong Lim, S. Ramesh, K. Palanikumar, T. Sekar, V. H. Mok

“…Wilcoxon signed rank test was conducted for the pairwise comparison of GTO with each of its competing algorithms at the significance level of σ = 0.05. Friedman test was conducted to calculate the average ranking of each algorithm and to detect the global differences between all compared algorithms. …”
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A novel method of adaptive weighted -nearest neighbor fingerprint indoor positioning considering user’s orientation by Jingxue Bi, Yunjia Wang, Xin Li, Hongji Cao, Hongxia Qi, Yongkang Wang

“…Second, the fuzzy c -means algorithm is used to cluster orientation fingerprint database taking the hybrid distance of the signal domain and position domain as the clustering feature. …”
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Increasing Neural-Based Pedestrian Detectors’ Robustness to Adversarial Patch Attacks Using Anomaly Localization by Olga Ilina, Maxim Tereshonok, Vadim Ziyadinov

“…The experimental results show that the proposed method is effective in defending against adversarial patch attacks. Using the YOLOv3 algorithm with the proposed defensive method for pedestrian detection in the INRIAPerson dataset under the adversarial attacks, the mAP50 metric reaches 80.97% compared to 46.79% without a defensive method. …”
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Collaborative Optimization of Direct Current Distribution Network Based on Scaled Electric Vehicles Charging and Discharging and Soft Open Points Topology Reconfiguration by Yongqiang Kang, Gang Lu, Meng Chen, Xinglong Li, Shuaibing Li

“…The upper and lower models use the multi-objective particle swarm optimization (MOPSO) algorithm and simulated annealing algorithm to jointly optimize the optimal EV discharge power and the optimal SOP access configuration simultaneously. …”
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Machine Learning- and Feature Selection-Enabled Framework for Accurate Crop Yield Prediction by Sandeep Gupta, Angelina Geetha, K. Sakthidasan Sankaran, Abu Sarwar Zamani, Mahyudin Ritonga, Roop Raj, Samrat Ray, Hussien Sobahi Mohammed

“…Then, feature selection is performed using the Relief algorithm. Features are extracted using the linear discriminant analysis algorithm. …”
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A Study of an IT-Assisted Higher Education Model Based on Distributed Hardware-Assisted Tracking Intervention by Haijun Liu

“…The effectiveness of the algorithm is demonstrated by the simulation experimental results. …”
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A novel differential evolution method with a hierarchical decoder for the photovoltaic layout optimization problem by Yuanqing Yao, Yibo Wang, Hongjie Jia, Yunfei Mu

“…Firstly, we propose a hierarchical decoder which includes a grided layout process coupled with a clustering method to zone the site and position equipment, followed by the application of the A* algorithm to determine the efficient cable paths. This process is further refined using the differential evolution algorithm, tailored to meet the constraints of photovoltaic plant design while enhancing the solution search scope. …”
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Maximizing information in neuron populations for neuromorphic spike encoding by Ahmad El Ferdaoussi, Eric Plourde, Jean Rouat

“…This work proposes an approach based on maximizing the mutual information between the signal and the spikes in the population of neurons. The proposed algorithm is inspired by the information-theoretic framework of Partial Information Decomposition. …”
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An Improved Demand Forecasting Model Using Deep Learning Approach and Proposed Decision Integration Strategy for Supply Chain by Zeynep Hilal Kilimci, A. Okay Akyuz, Mitat Uysal, Selim Akyokus, M. Ozan Uysal, Berna Atak Bulbul, Mehmet Ali Ekmis

“…This improved model is based on the analysis and interpretation of the historical data by using different forecasting methods which include time series analysis techniques, support vector regression algorithm, and deep learning models. To the best of our knowledge, this is the first study to blend the deep learning methodology, support vector regression algorithm, and different time series analysis models by a novel decision integration strategy for demand forecasting approach. …”
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Offshore Wind Farm Layout Optimization Considering the Power Collection System Cost by S. G. Obukhov, D. Y. Davydov

“…This is 7–11 % higher than the result obtained by using the MST algorithm, which performs the construction of a circuit of cable joints of a simplified topology. …”
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