Construction of Personalized Learning Platform Based on Intelligent Algorithm in the Context of Industry Education Integration by Zhifang Qian

“…In order to meet the personalized needs of different students and provide students with a variety of intelligent learning strategies and learning content, this research is aimed at the current lack of intelligent function design in the network teaching platform of colleges and universities. …”
Get full text

Comparison of Parenting Stress and Locus of Control in Parents of Children with and without Specific Learning Disorder by Seyed Omid Sotoudeh Navroodi, Mojgan Sotuodeh Navroodi

Subjects: “…parents of children with specific learning disorder…”
Get full text

Visualization of multidimensional data taking into account the learning flow of the self organizing neural network by Gintautas Dzemyda, Olga Kurasova

“… In the paper we discuss the visualization of multidimensional vectors taking into account the learning flow of the self organizing neural network. …”
Get full text

A Framework for Privacy-Preserving in IoV Using Federated Learning With Differential Privacy by Muhammad Adnan, Madiha Haider Syed, Adeel Anjum, Semeen Rehman

Subjects: Get full text

Fault diagnosis of rotating parts integrating transfer learning and ConvNeXt model by Zhikai Xing, Yongbao Liu, Qiang Wang, Junqiang Fu

Subjects: Get full text

STGLR: A Spacecraft Anomaly Detection Method Based on Spatio-Temporal Graph Learning by Yi Lai, Ye Zhu, Li Li, Qing Lan, Yizheng Zuo

Subjects: Get full text

Improving machine learning predictions to estimate fishing effort using vessel's tracking data by J. Samarão, A. Moreno, M.B. Gaspar, M.M. Rufino

“…These approaches should be applied in all works using machine learning to produce fishing effort maps.…”
Get full text

Exploring small-scale optimization coupling learning approaches for enterprises’ financial health forecasts by Lin Zhu, Zhihua Zhang, M. James C. Crabbe

Subjects: “…Optimization coupling learning…”
Get full text

Application of project-based learning method in Entrepreneurship education (PKWU) subjects of Labschool UPI by Dzakira Syawalia, Amanda Febrilyanti Suryana Putri, Razka Raditya Fahmi, Dimas Saputra

Subjects: Get full text

Survival machine learning methods for mortality prediction after heart transplantation in the contemporary era. by Lathan Liou, Elizabeth Mostofsky, Laura Lehman, Soziema Salia, Francisco J Barrera, Ying Wei, Amal Cheema, Anuradha Lala, Andrew Beam, Murray A Mittleman

“…Although prediction models for heart transplantation outcomes have been developed previously, a comprehensive benchmarking of survival machine learning methods for mortality prognosis in the most contemporary era of heart transplants following the 2018 donor heart allocation policy change is warranted. …”
Get full text

Global TEC Map Fusion Through a Hybrid Deep Learning Model: RFGAN by Zhou Chen, Kecheng Zhou, Haimeng Li, Jing‐song Wang, Zhihai Ouyang, Xiaohua Deng

“…For the integrity and continuity of the global observation data, deep learning can obtain a global Ionospheric total electron content (TEC) map by fusing multi‐source TEC maps. …”
Get full text

Iterative Learning Consensus Control for Nonlinear Partial Difference Multiagent Systems with Time Delay by Cun Wang, Xisheng Dai, Kene Li, Zupeng Zhou

“…When the iterative learning number k approaches infinity, the consensus error in the sense of the L2 norm between all agents in the system will converge to zero. …”
Get full text

Leveraging survival analysis and machine learning for accurate prediction of breast cancer recurrence and metastasis by Shahd M. Noman, Youssef M. Fadel, Mayar T. Henedak, Nada A. Attia, Malak Essam, Sarah Elmaasarawii, Fayrouz A. Fouad, Esraa G. Eltasawi, Walid Al-Atabany

Subjects: Get full text

Advancements and Challenges in Character Recognition: A Comparative Analysis of CNN and Deep Learning Approaches by Yang Ximin

“…This paper provides a comprehensive review of character recognition technologies, focusing on the application of Convolutional Neural Networks (CNN) and deep learning methodologies. Through an analysis of three key studies, the research highlights the strengths and limitations of current approaches. …”
Get full text

Deep reinforcement learning based task allocation mechanism for intelligent inspection in energy Internet by Siya XU, Yifei XING, Shaoyong GUO, Chao YANG, Xuesong QIU, Luoming MENG

“…In order to reduce the cost and improve efficiency of power line inspection, UAV (unmanned aerial vehicle), which use mobile edge computing technology to access and process service data, are used to inspect power lines in the energy internet.However, due to the dynamic changes of UAV data transmission demand and geographical location, the edge server load will be unbalanced, which causes higher service processing delay and network energy consumption.Thus, an intelligent inspection task allocation mechanism for energy internet based on deep reinforcement learning was proposed.First, a two-layer edge network task offloading model was established to archive joint optimization of multi-objectives, such as delay and energy consumption.It was designed by comprehensively considering the route of UAV and edge nodes, different demands of services and limited service capabilities of edge nodes.Furthermore, based on Lyapunov optimization theory and dual-time-scaled mechanism, proximal policy optimization algorithm based deep reinforcement learning was used to solve the connection relationship and offloading strategy of edge servers between fixed edge sink layer and mobile edge access layer.The simulation results show that, the proposed mechanism can reduce the service request delay and system energy consumption while ensuring the stability of system.…”
Get full text

Dilated cardiomyopathy signature metabolic marker screening: Machine learning and multi-omics analysis by Xiao-Lei Li, Aibibanmu Aizezi, Yan-Peng Li, Yan-Hong Li, Fen Liu, Qian Zhao, Xiang Ma, Dilare Adi, Yi-Tong Ma

Subjects: Get full text

Optimizing biochar yield and composition prediction with ensemble machine learning models for sustainable production by Jingguo Gou, Ghayas Haider Sajid, Mohanad Muayad Sabri, Mohammed El-Meligy, Khalil El Hindi, Nashwan Adnan OTHMAN

“…The study creates four machine learning models using multiple linear regression, decision trees, Adaboost regressors, and bagging regressors, trained on a dataset of pyrolysis tests. …”
Get full text

Author Correction: An interpretable and transparent machine learning framework for appendicitis detection in pediatric patients by Krishnaraj Chadaga, Varada Khanna, Srikanth Prabhu, Niranjana Sampathila, Rajagopala Chadaga, Shashikiran Umakanth, Devadas Bhat, K. S. Swathi, Radhika Kamath

Get full text

Comparison of Unsupervised Learning Algorithms for Clustering Cuban Citizens using a Lifestyle Questionnaire by S. Torres, D. Alonso, N. Martinez, S. Merced

Get full text

Comparative study on deep and machine learning approaches for predicting wind pressures on tall buildings by Mosbeh R. Kaloop, Abidhan Bardhan, Pijush Samui, Jong Wan Hu, Mohamed Elsharawy

Subjects: Get full text