The Journal of Sustainable Urban Futures encourages the integration of theoretical and practical perspectives, fostering innovative approaches and solutions for sustainable urban futures. It serves as a valuable resource for academics, policymakers, urban planners, and professionals working towards creating resilient and livable cities for present and future generations. It publishes interdisciplinary articles that address a wide range of topics, including urban planning, transportation, energy systems, architecture, environmental management, social equity, and community engagement.

The International Journal of Applied Machine Learning and Computational Intelligence (IJAMLCI) serves as an academic peer-reviewed monthly journal for the exchange of research and ideas in the fields of machine learning and computational intelligence. The journal focuses on applied research that has practical implications, aiming to connect theoretical developments to real-world applications. It encompasses a wide array of topics including neural networks, natural language processing, optimization techniques, and decision support systems, among others. The journal adheres to a strict peer-review process, involving subject-matter experts who evaluate submissions for their technical rigor, originality, and relevance to the field. IJAMLCI accepts various types of articles such as research papers, review articles, technical reports, and case studies. The journal encourages interdisciplinary collaboration and aims to contribute to the development of innovative solutions for complex problems in sectors like healthcare, finance, and manufacturing.

The journal covers a broad range of topics related to responsible AI, including but not limited to algorithmic fairness and bias, transparency and explainability in AI systems, privacy and data protection, AI governance frameworks, ethical considerations in AI development and deployment, human rights and AI, and the impact of AI on society and the environment. The International Journal of Responsible Artificial Intelligence aims to foster interdisciplinary dialogue and collaboration among experts from various fields, including computer science, ethics, law, sociology, psychology, and philosophy. By promoting rigorous research and informed discussions, the journal strives to contribute to the development of AI technologies that are aligned with human values, respect fundamental rights, and address societal challenges in a responsible manner.