Academy & Industry Research Collaboration Center (AIRCC)

Volume 13, Number 01, January 2023

Computer Science and Machine Learning
International Conference on Computer Science and Machine Learning (CSML 2023)
January 02 ~ 03, 2023, Zurich, Switzerland
Volume Editors : David C. Wyld, Dhinaharan Nagamalai (Eds)
ISBN : 978-1-925953-84-8                                                                             Download full Proceedings

Accelerating Experience Replay for Deep Q-Networks with Reduced Target Computation 
Bob Zigon1 and Fengguang Song2, 1Beckman Coulter, USA,
2Indiana University-Purdue University, USA

Machine-Learning Prediction of the Computed Band Gaps of Double Perovskite Materials 
Junfei Zhang1, Yueqi Li2 and Xinbo Zhou3, 1The University of Melbourne, Australia,
2Xiamen University, China, 3Beijing University of Technology, China

Models4Artist: An Intelligent Pose-based Image Search Engine to
Assist Artist Creation using Artificial Intelligence and Post Estimate 
HuiBing Xie1 and Yu Sun2, 1USA, 2California State Polytechnic University, USA

An Empirical Evaluation of Writing Style Features in Cross-Topic and Cross-Genre
Documents in Authorship Identification 
Simisani Ndaba, Edwin Thuma and Gontlafetse Mosweunyane,
University of Botswana, Botswana

Newly Discovered Route Takeover and DNS Hijacking Attacks in Openshift 
Luiza Nacshon1 and Martin Ukrop2, 1Senior Security Engineer, Red Hat, Israel,
2Senior Technical Program Manager, Red Hat, Czech Republic

Personalized Progressive Federated Learning with Leveraging
Client-Specific Vertical Features 
Tae Hyun Kim, Won Seok Jang, Sun Cheol Heo, MinDong Sung, and Yu Rang Park,
Yonsei University College of Medicine, South Korea

Predicting the Dissolution of Tablets based on Raman Maps using
a Linear Regression Model 
Gábor Knyihár, Kristóf Csorba and Hassan Charaf, Budapest University
of Technology and Economics Budapest, Hungary

A Mobile Application to Mark Attendance using a Combined Backend
of the Firestore Database and Amazon AWS Services 
Andy Jiang1 and Yu Sun2, 1Klein Oak High School, USA, 2California State Polytechnic University, USA