The JANOLI International Journal of Machine Learning, Deep Learning, and Soft Computing(JIJMLDLSC) aims to provide a dedicated forum for the dissemination of groundbreaking research in the fields of artificial intelligence, computational intelligence, and hybrid intelligent systems. The journal seeks to bridge the gap between theoretical advancements and practical implementations, facilitating knowledge exchange across academia and industry.

Scope of the Journal

The journal covers a broad range of topics, including but not limited to:

• Machine Learning: Supervised, unsupervised, and reinforcement learning, feature selection, and model optimization.
• Deep Learning: Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Transformers, Generative Adversarial Networks (GANs), and other neural architectures.
• Soft Computing: Fuzzy logic, genetic algorithms, evolutionary computation, swarm intelligence, and bio-inspired computing.
• Hybrid Intelligent Systems: Integration of machine learning with soft computing techniques for enhanced performance.
• Natural Language Processing (NLP): Sentiment analysis, machine translation, text summarization, and conversational AI.
• Computer Vision: Object detection, image segmentation, and facial recognition.
• Robotics and Autonomous Systems: AI-powered decision-making and intelligent control.
• Explainable AI (XAI) and Ethical AI: Interpretability, fairness, and responsible AI practices.
• Big Data Analytics and IoT: Applications of AI in large-scale data processing and Internet of Things (IoT) systems.
• Real-world Applications: AI-driven healthcare, finance, cybersecurity, and smart city solutions.

The journal welcomes original research papers, review articles, and case studies that contribute to advancing the state-of-the-art in machine learning, deep learning, and soft computing.