Exploring the Intersection of Information Theory and Machine Learning

Yousef Jaradat,Mohammad Masoud,Ahmad Manasrah,Mohammad Alia,Khalid Suwais,Sally Almanasra

#Information theory #machine learning #entropy #mutual information #information bottleneck

NS-PPO: A Two-Stage Data Resampling Framework for the Initial Phase of Software Defect Prediction

Xiaowei Zhao,Xuanye Wang,Siliang Suo,Lu Lu

#Software defect prediction #class imbalance #deep reinforcement learning

An Improved Taylor Hyperbolic Tangent and Sigmoid Activations for Avoiding Vanishing Gradients in Recurrent Neural Nets

Tirupati Gullipalli,Krishna Murali,Srinivasa Peri

#Vanishing gradient #taylor expansion #functional approximation #sigmoid #hyperbolic tangent #neural networks

Exploring the Intersection of Information Theory and Machine Learning

Yousef Jaradat,Mohammad Masoud,Ahmad Manasrah,Mohammad Alia,Khalid Suwais,Sally Almanasra

#Information theory #machine learning #entropy #mutual information #information bottleneck

NS-PPO: A Two-Stage Data Resampling Framework for the Initial Phase of Software Defect Prediction

Xiaowei Zhao,Xuanye Wang,Siliang Suo,Lu Lu

#Software defect prediction #class imbalance #deep reinforcement learning

An Improved Taylor Hyperbolic Tangent and Sigmoid Activations for Avoiding Vanishing Gradients in Recurrent Neural Nets

Tirupati Gullipalli,Krishna Murali,Srinivasa Peri

#Vanishing gradient #taylor expansion #functional approximation #sigmoid #hyperbolic tangent #neural networks

Federated Graph Neural Networks for Dynamic IoT Collaboration Optimization in Smart Home Environments

Cheng Zhang,Yuanquan Zhong

#IoT device collaboration #graph neural network #federated learning #graph structure #smart home

Modularization in Dual System and Occupational Self-governance Concerns Employing the Fuzzy Control Algorithm in Vocational Education Personnel Training

Jinyuan Li,Yuqi Cheng

#Fuzzy control #modularization #personnel training #vocational education

Modularization in Dual System and Occupational Self-governance Concerns Employing the Fuzzy Control Algorithm in Vocational Education Personnel Training

Jinyuan Li,Yuqi Cheng

#Fuzzy control #modularization #personnel training #vocational education

Pedestrian Target Recognition Algorithm in Public Places Based on Representation Learning and Similarity Learning

Xiaowen Li

#DenseNet #singular value decomposition #KNN algorithm #AM-softmax function #pedestrian target recognition

Survival Prediction of Children after Bone Marrow Transplant Using Machine Learning Algorithms

Hussam Alawneh,Ahmad Hasasneh

#Bone marrow transplant #hematopoietic stem cell #random forest #bagging #adaboost #gradient boost #decision tree #XGBoost

Application of Decomposition Expression in Digital Video Object Segmentation

Jianfu Kong

#Video object segmentation #unsupervised #deep learning #decomposing expression #feature #bottleneck operator #foreground segmentation

Empowering Intrusion Detection Systems: A Synergistic Hybrid Approach with Optimization and Deep Learning Techniques for Network Security

Ramya Chinnasamy,Malliga Subramanian,Nandita Sengupta

#Artificial neural network #deep learning #honey badger optimization #intrusion detection system

Design and Implementation of Sports Network Teaching Platform Based on Discrete Similarity Method

Jian Cui,Lan Shi

#Adaptive savitzky-golay filtering #chaotic satin bower bird optimization #multi‐hypothesis fuzzy‐matching radon transform and sports network teaching

Forecasting the Spread of Viral Diseases in Jordan Using the SARIMA Statistical Model

Shahed Al-khateeb

#Time series model #Jordan #prediction #diseases #forecasting model #sarimax #seasonal autoregressive integrated moving-average with exogenous regressors

Improvement of Translation Accuracy for the Word Sense Disambiguation System using Novel Classifier Approach

Ajith Abraham,Bineet Kumar Gupta,Satya Bhushan Verma,Archana Sachindeo Maurya,Mohammad Husain,Arshad Ali,Sami Alshmrany,Sanjay Gupta

#Bayes theorem #machine learning #machine translation #naïve bayes classification #supervised approach #unsupervised approach #and word sense disambiguation

Effective Test Cases Generation with Harmony Search and RBF Neural Network

Hemant Kumar,Vipin Saxena

#Algorithm optimization #automated testing #test cases #hybrid algorithm and software testing efficiency

Evaluation of Emission Reduction Performance of Power Enterprises Based on Least Squares Support Vector Machine

Wanqing Zhang,Ruohan Huang,Luwei Ye

#Power generation enterprise #evaluation indicators #least squares support vector machine #Lion swarm optimization algorithm #chaos theory

Image Object and Scene Recognition Based on Improved Convolutional Neural Network

Guoyan Li,Fei Wang

#Object recognition #deep learning #scene recognition #convolutional neural network #sliding window fusion

Enhanced Soccer Training Simulation Using Progressive Wasserstein GAN and Termite Life Cycle Optimization in Virtual Reality

Xiang Cheng,Pingping Zhang

#Football #progressive Wasserstein generative adversarial network #soccer training termite life cycle optimization #virtual reality