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