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Societal Transformation: AI and Big Data Journal (AIBD) is an open-access Double-Blind Peer review journal, published and owned by the Department of Computer Sciences, IQRA University. AIBD is a bi-annual scientific publication freely available online. AIBD is a scientific publication that publishes artificial intelligence research that reshapes the world and has a wider impact on society. AIBD accepts submissions from all around the world and has a wide spectrum of readers. The goal of AIBD is to focus on novel approaches, algorithms, applications, theories, and discoveries in the field of artificial intelligence that can cause a societal shift at large. Free online access and free publication make it easily available. A high-quality Double-Blind Peer review confirms its quality and original contributions to the field of computer sciences. The Journal welcomes submissions based on computer science research that solve real-world problems through theoretical innovations and practical implementations of scientific discourse. Each paper accepted following the peer review process is made freely available online immediately upon publication, is published under a Creative Commons license, and will be hosted online in perpetuity. AIBD publishes articles that are based on empirical and theoretical studies, scientific surveys, and innovative application development - without preference. All submitted research papers and articles will be checked for originality using Ithenticate. AIBD does not have article processing, editorial processing, and submission fees (APCs). The editorial staff of AIBD is profoundly grateful to the Department of Computer Science, IQRA University for its generous financing and intellectual help in running the journal successfully. Subject Areas: Artificial neural network, Deep learning, Machine learning, Natural language processing, Computer vision, Robotics, Reinforcement learning, Data science, Algorithm, Recommender system, Knowledge representation and reasoning, Analytics, Pattern recognition, Speech recognition, Multi-agent system, Computational social science, Cognitive science, Big data.