Journals

  • Sustainable Engineering and Science Advances

    Sustainable Engineering and Science Advances is at the forefront of groundbreaking research, where engineering innovations meet real-world scientific applications. It serves as a dynamic platform for transformative ideas that address global challenges, leveraging the most recent technologies and novel methodologies. The journal thrives on fostering interdisciplinary collaboration, fueling progress by connecting academia, industry, and government sectors. By focusing on actionable insights, it drives the evolution of industries through applied science and engineering. With its rigorous peer-review process, the journal is a catalyst for next-generation solutions that redefine the future of applied research.

  • Intelligent Data Science and Analytics

    Intelligent Data Science and Analytics is a trailblazer in shaping the future of data-driven innovation. It explores the transformative potential of data science, offering a platform for pioneering research that translates data into actionable insights. By embracing emerging algorithms, machine learning, and AI, the journal pushes boundaries in data analytics applications across industries. With a focus on both theory and practice, it connects researchers, technologists, and decision-makers to unlock the power of data. Rigorous peer review ensures the journal remains a hub for cutting-edge advancements, setting the standard for excellence in data science.

  • Advancements in Business Information Technologies

    Advancements in Business Information Technologies is a visionary platform that integrates the dynamic fields of business strategy and information technology. It focuses on innovative research that drives digital transformation, enhancing business decision-making through advanced management systems. The journal showcases cutting-edge studies on AI, big data, and enterprise resource planning, offering actionable insights for modern organizations. By bridging the gap between technology and management, it empowers both academia and industry to lead in an increasingly digital world. Through a rigorous peer-review process, the journal is committed to setting new benchmarks in business and management research.

  • Cognitive Machine Learning and Artificial Intelligence

    Cognitive Machine Learning and Artificial Intelligence is a frontier of research that combines the power of machine learning with the precision of data engineering to solve complex, real-world problems. It highlights breakthrough advancements in algorithms, data infrastructure, and AI-driven analytics, driving the future of intelligent systems. The journal provides a collaborative space for interdisciplinary research, where data engineers and machine learning experts push the boundaries of innovation. Focused on practical applications, it bridges theoretical concepts with transformative solutions across industries. With a rigorous peer-review process, the journal ensures it remains a leader in advancing machine learning and data engineering excellence.