About the Journal

The Journal of Artificial Neural Networks and Deep Learning Applications (JANN-DLA) provides a comprehensive venue for publishing groundbreaking work in neural network architectures, deep learning methodologies, and their diverse applications across scientific, industrial, and societal domains. This journal is committed to advancing the field of artificial intelligence by highlighting innovative developments in computational models and their transformative impact. JANN-DLA emphasizes research on the design, optimization, and implementation of artificial neural networks and deep learning frameworks. Topics include convolutional neural networks, recurrent neural networks, generative adversarial networks, and transformer models. Submissions that introduce novel architectures, improve training efficiency, or address challenges such as overfitting and interpretability are strongly encouraged.