Volume 13 Number 4 (Oct. 2023) - International Journal of Machine Learning (IJML)

Volume 13 Number 4 (Oct. 2023)

Article#	Article Title & Authors (Volume 13 Number 4 (Oct. 2023))	Page
1141	An Advanced Convolutional Neural Network for Detecting Chest X-ray Abnormalities Fady Tawfik and Yi Gu*	136
1142	Deep Learning and Machine Learning Models to Predict Energy Consumption in Steel Industry Kittisak Kerdprasop, Nittaya Kerdprasop, and Paradee Chuaybamroong*	142
1143	Sustainable Smart University: A Short-Term Deep Learning Framework for Energy Consumption Forecast Berny Carrera and Kwanho Kim*	146
1144	Establishment of Risk Prediction Model for Soil and Groundwater Pollution of Gas Station with Machine Learning Techniques I-Cheng Chang, Shen-De Chen, and Tai-Yi Yu*	153
1145	Parameter-Free Conglomerate nearest Neighbor Classifier Using Mass-Ratio-Variance Outlier Factors Patcharasiri Fuangfoo and Krung Sinapiromsaran*	158
1146	Automated Segmentation of Cervical Cell Images Using IMBMDCR-Net Yanjing Ding, Weiwei Yue, and Qinghua Li*	163
1147	Detection of DDoS Attacks Using SHAP-Based Feature Reduction C Cynthia, Debayani Ghosh, and Gopal Krishna Kamath*	173
1148	Data Balancing and Aggregation Strategy to Predict Yield in Hard Disk Drive Manufacturing Nittaya Kerdprasop, Anusara Hirunyawanakul, Paradee Chuaybamroong, and Kittisak Kerdprasop*	181

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