6G Bands

Journal of Next Generation Biomedical Sciences

The Journal of Next-Gen Biomedical Sciences aligns with the United Nations Sustainable Development Goals (SDGs) by promoting research that advances global health, innovation, and knowledge sharing. The journal primarily supports SDG 3: Good Health and Well-Being by publishing studies that contribute to improved diagnostics, therapeutics, biomedical devices, and healthcare technologies aimed at enhancing patient care and disease management. It also contributes to SDG 9: Industry, Innovation and Infrastructure by encouraging interdisciplinary research that integrates biomedical sciences with engineering, computational methods, and emerging technologies to develop next-generation healthcare solutions. As an open-access platform, the journal supports SDG 4: Quality Education by enabling global access to scientific knowledge and fostering academic learning. Furthermore, by facilitating international collaboration among researchers and institutions, the journal contributes to SDG 17: Partnerships for the Goals, strengthening global cooperation in biomedical research and healthcare innovation.

Computing Futurism

To publish high-quality original research and comprehensive review articles across diverse fields of computing, including classical computing, quantum computing, internet-based technologies, and emerging computational paradigms. The journal encourages interdisciplinary research that connects computing with science, healthcare, economics, governance, and sustainable development.

In alignment with the Sustainable Development Goals (SDGs), the journal promotes innovative computing solutions that support areas such as quality education, sustainable industry and innovation, smart infrastructure, responsible resource utilization, and climate-responsive technologies. By fostering open knowledge exchange and collaborative research, the journal aims to advance computing technologies that contribute to solving global societal and environmental challenges while supporting sustainable and inclusive technological progress.

Future Cohort of AI and Data Science

The Future Cohort of AI and Data Science is an international, peer-reviewed journal dedicated to publishing high-quality research, innovative methodologies, and real-world applications in Artificial Intelligence (AI), Machine Learning (ML), and Data Science. The journal promotes interdisciplinary research that supports sustainable development by leveraging intelligent technologies to address global challenges in areas such as smart energy systems, environmental monitoring, healthcare analytics, sustainable infrastructure, and digital transformation.

The journal encourages contributions that advance responsible AI, data-driven decision making, and scalable technologies that enhance quality education, sustainable industries, resilient infrastructure, and inclusive innovation ecosystems. By bridging theoretical advancements with practical implementations, The Future Cohort of AI and Data Science aims to foster research that contributes to sustainable technological progress, efficient resource utilization, and data-empowered solutions for societal and environmental well-being.