Cellular-free RAN slicing resource allocation algorithm based on multi-timescale collaboration by XIA Weiwei, WANG Boye, XIA Yaxing, MIAO Weiwei, WANG Dayang, JING Dongsheng, YAN Feng, SHEN Lianfeng

“…Simulation results demonstrate that the proposed algorithm can accurately predict slice resource, improve the system transmission rates while reducing the average user latency and service blocking probability.…”
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Environmental impacts of economic growth: A STIRPAT analysis using machine learning algorithms by J. Krishnendu, Biswajit Patra

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Hybrid Estimation of Distribution Algorithm for Solving Three-Stage Multiobjective Integrated Scheduling Problem by Chao Deng, Rong Hu, Bin Qian, Huai P. Jin

“…Then, a hybrid estimation of distribution algorithm with variable neighborhood search (HEDA_VNS) is developed to solve the scheduling problem. …”
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Energy Efficiency and Reliability in Underwater Wireless Sensor Networks Using Cuckoo Optimizer Algorithm by M. Dosaranian-Moghadam, Z. Amo-Rahimi

“…In the proposed algorithm, by presenting a cost function in COA algorithm, a hop-by-hop method of route selection is performed using power consumption and energy content of the current node; while in Greedy Geographic Forwarding based on Geospatial Division (GGFGD) algorithm, data transfer is based on the closest route to a destination criterion. …”
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Enhancing workflow efficiency with a modified Firefly Algorithm for hybrid cloud edge environments by Deafallah Alsadie, Musleh Alsulami

“…Scientific workflows often involve complex tasks with dependencies, which can challenge traditional scheduling algorithms. While existing methods show promise, they may not fully address the unique demands of hybrid cloud-edge environments, potentially leading to suboptimal outcomes. …”
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An adaptive initialization and multitasking based evolutionary algorithm for bi-objective feature selection in classification by Hang Xu, Bing Xue, Mengjie Zhang

“…Abstract Evolutionary algorithms have become a widely-used approach for solving multi-objective optimization problems over the last decades, while feature selection in classification is also a discrete bi-objective optimization problem that aims at simultaneously minimizing the classification error and the number of selected features. …”
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A clustering algorithm based on grids for core data and adjacency relationships for edge data by Honglei He

“…Abstract Grid-based clustering algorithms have become a crucial method in the field of data mining due to their efficiency. …”
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Development of HTC-DBSCAN: A Hierarchical Trajectory Clustering Algorithm with Automated Parameter Tuning by Dae-Han Lee, Joo-Sung Kim

“…Density-Based Spatial Clustering of Applications (DBSCA) applies to many research fields; using the DBSCA with Noise (DBSCAN) algorithm, we propose an improved DBSCAN algorithm that automatically determines the parameters Epsilon and MinPts. …”
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A super-resolution algorithm to fuse orthogonal CT volumes using OrthoFusion by Rebecca E. Abbott, Alain Nishimwe, Hadi Wiputra, Ryan E. Breighner, Arin M. Ellingson

“…Abstract OrthoFusion, an intuitive super-resolution algorithm, is presented in this study to enhance the spatial resolution of clinical CT volumes. …”
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Experiment study on UAV target detection algorithm based on YOLOv8n-ACW by Bo Xue, Bowen Zhang, Qin Cheng

“…The UAV target detection experiment combines experimental simulation with real-world testing, while combining scientific exploration with educational objectives. …”
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Optimizing Smart Manufacturing Processes and Human Resource Management through Machine Learning Algorithms by Deden Komar Priatna, Winna Roswinna, Nandan Limakrisna, Azam Khalikov, Diyorjon Abdullaev, Layth Hussein

“…The research implemented a three-tier machine learning framework combining random forest algorithms, k-means clustering, and deep neural networks, while simultaneously developing workforce capabilities through structured training programs. …”
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Photovoltaic panel defect detection algorithm based on infrared imaging and improved YOLOv8 by Jingdong Wang, Zhu Cheng

“…Results demonstrate that, compared with the baseline YOLOv8 model, the proposed approach achieves significant improvements in precision (3.6%), recall (10.4%), mAP50 (4.8%), and mAP50-95 (4.5%) while maintaining nearly the same parameter count. …”
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A HYBRID ELLIPTIC CURVE AND DATA ENCRYPTION STANDARD ALGORITHM FOR SECURE DATA COMMUNICATION by Samuel N. John, Etinosa Noma-Osaghae, Danjuma Sunday Shadrach, Adati Elkanah Chahari, Chiroma Libra Wamdeo, Ime Ukeme Udioko

“…Decryption throughput was 66.87% for DES and 67.86% for ECC, while the hybrid approach showed a balanced yet secure performance. …”
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Comparative Study of Algorithms for the Conversion From Surface Mesh Models to Volume Mesh Models by Youxi Wang, Qi Pang, Meng Li, Yang Liu

“…The Delaunay algorithm performed best in terms of efficiency and model size, while the Frontal algorithm had an advantage in model refinement. …”
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The data analysis of sports training by ID3 decision tree algorithm and deep learning by Kaigong Wang, Lei Wang, Jiduo Sun

“…Traditional analysis methods have shortcomings in dealing with complex and multidimensional data, while analysis methods based on artificial intelligence can significantly improve the ability of feature extraction and prediction. …”
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THE NUTRI-SCORE SYSTEM FOR FRONT-OF-PACK NUTRITIONAL LABELLING: ALGORITHM UPDATES, BENEFITS, AND RISKS by Anna T. Mikulec, Anna M. Platta

“…Its regulatory implementation has been adopted voluntarily by several European countries, while efforts toward EU-wide harmonization are ongoing. …”
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A theory of memory for binary sequences: Evidence for a mental compression algorithm in humans. by Samuel Planton, Timo van Kerkoerle, Leïla Abbih, Maxime Maheu, Florent Meyniel, Mariano Sigman, Liping Wang, Santiago Figueira, Sergio Romano, Stanislas Dehaene

“…Both subjective complexity ratings and objective violation detection performance were well predicted by our theoretical measure of complexity, which simply reflects a weighted sum of the number of elementary instructions and digits in the shortest formula that captures the sequence in our language. While a simpler transition probability model, when tested as a single predictor in the statistical analyses, accounted for significant variance in the data, the goodness-of-fit with the data significantly improved when the language-based complexity measure was included in the statistical model, while the variance explained by the transition probability model largely decreased. …”
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A dereverberation beamforming algorithm for noise source localization in anechoic and semi-reverberant environments by R. Singh, A. Mimani, R. Kumar

“…In the anechoic chamber, the CBF could accurately localize the loudspeaker, while for the mixer-grinder, a noticeable localization error was observed, especially at higher frequencies, which is attributed to self-scattering. …”
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SAMFA: A Flame Segmentation Algorithm for Infrared and Visible Aerial Images in the Same Scene by Jianye Yuan, Min Yang, Haofei Wang, Xinwang Ding, Song Li, Wei Gong

“…We compared SAMFA with five state-of-the-art image segmentation algorithms on a labeled public dataset, and the experimental results demonstrate that SAMFA performs the best. …”
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Predictive PID Control for Automated Guided Vehicles Using Genetic Algorithm and Machine Learning by Kinza Nazir, Yong-Woon Kim, Yung-Cheol Byun

“…Specifically, the GA-optimized true PID values achieved a mean error of 11.8402, while the SVR-predicted PID values had a mean error of 15.4438, with SVR attaining a recall of 86.55%. …”
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