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Computing Futurism
Computing Futurism

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
Future Cohort of AI and Data Science

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.

Integrated Bioenergy
Integrated Bioenergy

Integrated Bioenergy

Integrated Bioenergy is an international, peer-reviewed, open access journal committed to supporting global sustainability by promoting interdisciplinary research in bioenergy, environmental science, computational biology, electronics, mechanics, and chemistry. The journal aligns strongly with SDG 7: Affordable and Clean Energy and SDG 13: Climate Action by publishing high-quality original research, comprehensive reviews, case studies, and technical reports. These contributions aim to develop innovative and sustainable energy solutions, reduce environmental impact, and address climate challenges through integrated scientific and technological approaches.

Working Towards a Sustainable Future

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Our Research Domains

Driving innovation across key scientific disciplines

Computation

Driving innovation through advanced computational methods and artificial intelligence.

Computation

Bio Energy

Advancing sustainable energy solutions for a greener planet.

Bio Energy

Environmental Science

Shaping a healthier and more sustainable future for everyone.

Environmental Science

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