International academic journal IJCAST ushered in the first official issue.

2024 Vol.1 No.2

Deep learning in waste management: a brief survey Suman Kunwar; Abayomi Simeon Alade DOI: 10.1504/IJCAST.2024.143879142-154

Using knowledge graphs for enabling collaborative financial market data analytical processes Bhushan Oza; Ali Behnaz DOI: 10.1504/IJCAST.2024.143884155-176

A comparative study of machine learning models for hate speech and stereotype detection in Italian texts Vincenzo Sammartino DOI: 10.1504/IJCAST.2024.143880177-194

Comprehensive faults analysis on the direct current side of photovoltaic systems using logistic model tree algorithm Bogac Oguz Togay; Coskun Firat DOI: 10.1504/IJCAST.2024.143882195-209

A hybrid LSTM-SNN approach for robust multimodal zero-shot learning Yuejia Li; Zhe Yang; Haonan Zheng; Xiang Zhang DOI: 10.1504/IJCAST.2024.143881

Here, we sincerely thank researchers for their trust and support for IJCAST. IJCAST is committed to providing a high-level academic exchange platform for researchers in the field of machine learning, deep learning and evolutionary computing. In the future, we will strictly demand ourselves with higher standards, continuously optimize the quality of journals, and promote academic progress.