Academy & Industry Research Collaboration Center (AIRCC)

Volume 12, Number 11, June 2022

Machine Learning & Applications
4th International Conference on Machine Learning & Applications (CMLA 2022)
June 25~26, 2022, Copenhagen, Denmark
Volume Editors : David C. Wyld, Dhinaharan Nagamalai (Eds)
ISBN : 978-1-925953-70-1                                                                             Download full Proceedings

BREXIT: Predicting the Brexit UK Election Results by Constituency using Twitter
Location based Sentiment and Machine Learning
James Usher and Pierpaolo Dondio, School of Computing Technological
University Dublin, Ireland

Anti-Virus Autobots: Predicting More Infectious Virus Variants for Pandemic Prevention
through Deep Learning
Glenda Tan Hui En1, Koay Tze Erhn1 and Shen Bingquan2, 1Raffles Institution
Singapore, 2DSO National Laboratories, Singapore

Study on Emotional State Change based on Dynamic Expression Similarity 
Yan Zhang, Xiangyang Feng and Ming Zhu, Donghua University, China

Mining Biomedical Literature to Discover Natural Cure for Recurrent Disease 
Farhi Marir1, Hussein Fakhry1 and Aida J. Azar2, 1Zayed University, UAE, 2Mohammed
Bin Rashid University of Medicine and Health Sciences (MBRU), UAE

Brand Name: An Intelligent Mobile-based Environmental Protection Rating and Suggestion
Platform using Artificial Intelligence and Text Recognition
Ximeng Zhang1 and Yu Sun2, 1USA, 2California State Polytechnic University, USA

A Novel Approach to Network Intrusion Detection System using Deep Learning
for SDN: Futuristic Approach
Mhmood Radhi Hadi and Adnan Saher Mohammed, Karab√ľk University, Turkey

Quality Increases as the Error Rate Decreases 
Fabrizio d'Amore, Sapienza University of Rome, Italy

A New Deep-Net Architecture for Ischemic Stroke Lesion Segmentation 
Nesrine Jazzar1 and Ali Douik2, 1University of Sfax, Tunisia, 2University of Sousse, Tunisia

Evaluation of Semantic Answer Similarity Metrics 
Farida Mustafazade1 and Peter F. Ebbinghaus2, 1GAM Systematic, UK, 2Teufel, Germany

A Distributed Energy-Efficient Unequal Clustering based Kruskal Heuristic for IoT Networks 
Mohamed Sofiane BATTA1,2, Zibouda ALIOUAT2, Hakim MABED1 and Malha MERAH2 1University of Bourgogne Franche-Comte, France, 2Ferhat Abbas University Setif 1, Algeria

Separation Distance Reduction between 5G NR Base Station
and Satellite Earth Station at C-Band
Mohamed Ahmed M. Khalifa1, Hebat-Allah M. Mourad1 and Mahmoud Abdelaziz2
1Cairo University, Egypt, 2University of Science and Technology in Zewail City, Egypt

Verifying Outsourced Computation in an Edge Computing Marketplace 
Christopher Harth-Kitzerow and Gonzalo Munilla Garrido
Technical University of Munich, Germany

An Intelligent Mobile Platform to Assist Customized Cosmetic Selection using
Artificial Intelligence and Natural Language Processing
Jenny Sun1 and Yu Sun2, 1USA, 2California State Polytechnic University, USA