Research on High-Precision Motion Planning of Large Multi-Arm Rock Drilling Robot Based on Multi-Strategy Sampling Rapidly Exploring Random Tree* by Qiaoyu Xu, Yansong Lin

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A Sparse Representation-Based Reconstruction Method of Electrical Impedance Imaging for Grounding Grid by Ke Zhu, Donghui Luo, Zhengzheng Fu, Zhihang Xue, Xianghang Bu

“…Finally, the grounding grid model is established by COMSOL simulation software to obtain voltage data, and the reconstruction effects of the Tikhonov regularization algorithm, the total variation regularization algorithm (TV), the one-step Newton algorithm (NOSER), and the sparse reconstruction algorithm proposed in this article are compared in MATLAB. …”
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Evaluation Method for Artificial Reefs Based on Multi-Object Tracking by Zuli Wu, Yifan Song, Xuesen Cui, Shengmao Zhang, Weimin Quan, Yongchuang Shi, Xinquan Xiong, Penglong Li

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Novel Automatic Classification Method for Geological Structures in Carbonate Formations Based on Electrical Imaging Logging by FU Yafeng, HUANG Ke, ZHU Hanbin, WANG Hui, ZHANG Xu, ZHAO Jie, XIAO Ni

“…Validation using actual carbonate logging data shows that the classification accuracy of this method exceeds an 80% agreement rate with core observations. Compared with existing research, this study is the first to achieve automatic classification of mudstone laminae, natural fractures, induced fractures, and vugs in carbonate formations based on electrical imaging logs, significantly improving classification efficiency and accuracy.…”
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Optimization Scheduling of Integrated Energy Systems Considering Power Flow Constraints by Sheng Zou, Xuanjun Zong, Quan Chen, Wang Zhang, Hongwei Zhou

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Strategy Design and Parameter Optimization of High-Frequency Resonance Suppression for Modular Multilevel Converter by Xiao ZHOU, Yuexi YANG, Longze KOU, Yunfeng LI, Xuewei QIAN, Jie HAO, Weizhe JING

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A computational DNA methylation method to remove contaminated DNA from spent embryo culture medium for noninvasive preimplantation genetic testingResearch in context by Yidong Chen, Jin Huang, Fuchou Tang, Lu Wen, Jie Qiao

“…Methods: We developed a computational algorithm to eliminate contaminated nonembryonic DNA from spent embryo culture medium. …”
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Photoplethysmography Feature Extraction for Non-Invasive Glucose Estimation by Means of MFCC and Machine Learning Techniques by Christian Salamea-Palacios, Melissa Montalvo-López, Raquel Orellana-Peralta, Javier Viñanzaca-Figueroa

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Heuristic based federated learning with adaptive hyperparameter tuning for households energy prediction by Liana Toderean, Mihai Daian, Tudor Cioara, Ionut Anghel, Vasilis Michalakopoulos, Efstathios Sarantinopoulos, Elissaios Sarmas

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APPLICATION OF PROMETHEE II METHOD IN DECISION-MAKING FOR GRANT DISTRIBUTION IN ACADEMIC ENVIRONMENT by Raja Ayu Mahessya, Novi Trisna

“…This algorithm compares and ranks various choices based on pre-determined criteria. …”
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Label Propagation Techniques for Artifact Detection in Imbalanced Classes Using Photoplethysmogram Signals by Clara Macabiau, Thanh-Dung Le, Kevin Albert, Mana Shahriari, Philippe Jouvet, Rita Noumeir

“…We investigated a dataset comprising PPG recordings from 1571 patients, wherein approximately 82% of the samples were identified as clean, while the remaining 18% were contaminated by artifacts. Our research compares the performance of supervised classifiers, such as conventional classifiers and neural networks (Multi-Layer Perceptron (MLP), Transformers, Fully Convolutional Network (FCN)), with the semi-supervised Label Propagation (LP) algorithm for artifact classification in PPG signals. …”
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Circular Radon Transform Inversion Technique in Synthetic Aperture Ultrasound Imaging: an Ultrasound Phantom Evaluation by Jurij TASINKEVYCH, Ihor TROTS

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A Clinical Data Analysis Based Diagnostic Systems for Heart Disease Prediction Using Ensemble Method by Ankit Kumar, Kamred Udham Singh, Manish Kumar

“…We used a dataset with 13 primary characteristics to carry out the research. Support vector machine and logistic regression algorithms are used to process the datasets, and the latter displays the highest accuracy in predicting coronary disease. …”
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Agricultural Machinery Movement Trajectory Recognition Method Based on Two-Stage Joint Clustering by Shuya Zhang, Hui Liu, Xiangchen Cao, Zhijun Meng

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Modeling Portfolio Optimization based on behavioral Preferences and Investor’s Memory by vahideh mousavi kakhki, Sanaz Khatabi

“…Additionally, researchers can investigate the application of other optimization techniques, such as machine learning algorithms, to portfolio optimization.…”
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Financial Market Evaluation Utilizing an Optimized Deep-Learning Model: A Case Study of the Nikkei 225 by Karthikeyan M P

“…The purpose of this research is to forecast stock prices by the MFO model with the LSTM network. …”
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Coverage path planning considering the cell number and starting position by MA Mingyan, HUANG Sirong, DENG Renhui, WU Lei, HE Li

“…The research results show that: 1) when processing maps with dimensions of 1 300 pixels, the algorithm in this paper can obtain calculation results within 10 s, and compared with the boustrophedon method, neural network method, and contour line method, the growth rate of calculation time is smaller with the increase of map area; 2) compared with the boustrophedon method, contour line method, neural network method, and energy-optimal method, the total operation time of robots in this paper is reduced by 5.4% to 47.0%, and the ineffective operation time is reduced by 5.8% to 29.2%; 3) the average coverage rate of this algorithm on 1 800 test maps reaches 99.91%; 4) the tests further confirm the significant coverage efficiency advantages of the algorithm proposed in this paper.…”
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Enhancing Education with Machine Learning: Predicting Student Readability Scores by Claire Bell

“…This study explores the use of machine learning techniques to predict students' reading scores, with a particular focus on Random Forest Classification (RFC) as a reliable baseline model. The research leverages a dataset of 1,000 English texts to evaluate and compare the performance of RFC, the Sooty Tern Optimization Algorithm (STOA), and the Gold Rush Optimizer (GRO) in predicting readability ratings. …”
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Highway subgrade stability prediction model based on depth separation convolutional fusion network by Yubian Wang

“…The experimental results indicate that the proposed data structure and algorithm can better distinguish the defect features of highway roadbeds. …”
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Physics-Informed Deep Neural Network for Low Sidelobe Time-Modulated Antenna Array Synthesis With Harmonic Suppression by Tarek Sallam, Qun Wang, Ahmed M. Attiya

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