International Journal of Data Informatics & Sustainability (IJDIS)
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The International Journal of Data Informatics & Sustainability (IJDIS) is dedicated to advancing the intersection of data science, informatics, and sustainability. Our mission is to disseminate cutting-edge research findings that address the environmental, societal, and economic aspects of sustainability through innovative applications of data informatics. IJDIS publishes original research papers, comprehensive reviews, and insightful case studies that reflect the latest advancements and trends in this interdisciplinary field.
Data Informatics for Sustainable Computing:
Energy-efficient Data Management
Green Data Analytics
Sustainable Big Data Processing
Power-aware Data Mining and Machine Learning
Optimizing Data Storage for Energy Conservation
Informatics Applications for Sustainability:
Environmental Monitoring through Data Sensors
Smart Grid and Renewable Energy Data Systems
Sustainable Urban Data Analytics
Data-driven Approaches for Climate Change Mitigation
Data Solutions for Eco-friendly Transportation Systems
Algorithms and Models for Sustainability:
Energy-efficient Algorithms and Computation
Sustainable Data-driven Modeling
Optimizing Resource Utilization with Data Algorithms
Low-power Algorithms for Mobile and Ubiquitous Computing
Scalable and Sustainable High-performance Computing Solutions
Evaluating and Modeling Sustainable Data Systems:
Reliability and Sustainability of Data Systems
Performance and Power Trade-offs in Data Processing
Tools and Metrics for Evaluating Data System Sustainability
Sustainable Data System Architectures
Real-time Monitoring of Data Centers for Energy Efficiency
Sustainable Hardware and Infrastructure for Data Informatics:
Energy-efficient Network Architectures
Green Hardware Solutions for Data Processing
Renewable Energy Integration in Data Centers
Low-power Circuit and Device Design for Data Systems
Embedded Systems and IoT for Sustainable Data Applications
Reducing Energy Leakage and Dissipation in Data Hardware
International Journal of Advancements in Engineering (IJAE)
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The advent of advanced computing methods and related technologies is revolutionizing how engineers engage with the information infrastructure. Explicit knowledge representation formalisms and innovative reasoning techniques are now integral to engineering, extending beyond the traditional confines of computer science. This shift is fostering a new philosophy and domain known as Engineering Informatics, pivotal for knowledge-intensive tasks within engineering disciplines.
International Journal of Advancements in Engineering (IJAE) seeks original research papers that emphasize both 'knowledge' and 'engineering applications'. As an international journal, we invite papers that:
Showcase progress in applying engineering informatics methods within various engineering disciplines.
Demonstrate engineering relevance and contribute to the scientific foundation, enhancing the reliability, spontaneity, and creativity of engineering decision-making.
Present novel research that supports knowledge-intensive engineering tasks.
Validate the generality, robustness, and scalability of new methods through rigorous qualitative and quantitative evaluation.
Moreover, IJAE welcomes high-quality review articles that synthesize, compare, and evaluate methodologies and representations proposed in the field of engineering informatics. We are particularly interested in comprehensive summaries and comparisons of full-scale applications, especially those highlighting scientific challenges that have impeded success. Such papers typically include extensive literature reviews, discussions reflecting a deep understanding of current knowledge, and proposals for novel contributions to ongoing research.
Papers lacking explicit representation and utilization of knowledge, including those focused on soft computing techniques, mathematical optimization methods, pattern recognition techniques, and numerical computation methods, are generally outside the scope of IJAE. Submissions must illustrate contributions through examples of automating and supporting knowledge-intensive tasks in artifact-centered engineering fields such as mechanical, manufacturing, architecture, civil, electrical, transportation, environmental, and chemical engineering. Papers that merely apply an established method to a new engineering subdomain must convincingly demonstrate significant new power, generality, or scalability compared to previously reported results. Lastly, papers focusing solely on software engineering issues are not within the scope of this journal.
IJAE is committed to advancing the field of engineering by publishing pioneering research that bridges the gap between knowledge representation and practical engineering applications, thereby fostering innovation and excellence in the engineering community.