Volume 13 Number 3 (July 2023) - International Journal of Machine Learning (IJML)

Volume 13 Number 3 (July 2023)

Article#	Article Title & Authors (Volume 13 Number 3 (July 2023))	Page
1135	Deep-Racing: An Embedded Deep Neural Network (EDNN) Model to Predict the Winning Strategy in Formula One Racing Syeda Sitara Wishal Fatima and Jennifer Johrendt*	97
1136	Employing the Exponentiated Magnitude Spectrogram in the Deep Learning-Based Mask Estimation for Speech Enhancement Jeih-Weih Hung, Chi-En Dai, Ping-Chen Wu, and Che-Wei Liao*	104
1137	JoyBot: RASA-Trained Chatbots to Provide Mental Health Assistance for Australians Mary Adewunmi, Adish Ashraff, Tanya Dixit, Nikhil Shrestha, Veronica Gail Medrano, Bhushan Chougule, Ahmed Fahim, Navaneeth Tirupath, and Sudha Sushma*	109
1138	Prediction of Mental Health: Heuristic Subjective Well-Being Model on Perceived Stress Scale Using Machine Learning Algorithms Ahmet Karakuş, Akif Can Kılıç, and S. Emre Alptekin*	117
1139	Resilience Evaluation of Automakers after 2008 Financial Crisis by UMAP Seiji Matsuhashi and Yukari Shirota*	125
1140	Performance Analysis of Machine Learning Models in Solar Energy Forecasting Nifat Sultana and Tasnim Ahmed*	131

E-ISSN: 2972-368X
Abbreviated Title: Int. J. Mach. Learn.
DOI: 10.18178/IJML
Frequency: Quarterly
Average Days to Accept: 68 days
Acceptance Rate: 27%
Editor-in-Chief: Dr. Lin Huang
Executive Editor: Ms. Cherry L. Chen
DOI: 10.18178/IJML
Abstracing/Indexing: Google Scholar, Crossref, ProQuest, Electronic Journals Library, CNKI.
E-mail: editor@ijml.org
APC: 500USD