FMDB Transactions on Sustainable Computer Letters

Aims and Scope
FMDB Transactions on Sustainable Computer Letters (FTSCL) is an international peer-reviewed journal dedicated to publishing cutting-edge research that addresses emerging challenges and innovations in computer science. The journal aims to advance the development of practical methodologies, intelligent tools, and scalable technologies that can be effectively applied in real-world contexts. FTSCL emphasizes interdisciplinary research that explores new directions in sustainable computing, intelligent systems, and advanced digital technologies. It particularly highlights contributions that promote efficient, environmentally responsible management of computing resources and support the transition toward green and sustainable technological ecosystems. The journal welcomes high-quality submissions in areas including, but not limited to, artificial intelligence, data science, communication technologies, Internet of Things (IoT), smart systems, and sustainability-driven computing solutions. Research that bridges technology with societal impact, digital transformation, and sustainable development goals is strongly encouraged. FTSCL publishes a diverse range of scholarly content, including original research articles, review papers, technical reports, case studies, and critical reviews of emerging literature, fostering innovation and knowledge dissemination across academia and industry.
Topics include, but are not limited to, the following areas:
  • Architectures, algorithms, and applications for managing data
  • Big data services and application development methods and tools
  • Computer Vision and Deep Learning Technology
  • Artificial Intelligence and Machine Learning Models
  • Visual Intelligence and Multimedia Systems
  • Natural language processing frameworks and technologies
  • Cloud and Sensors data management
  • Algorithms and systems for search and analytics
  • Image Processing and Video Analysis
  • Algorithms and applications for Security and Privacy
  • Internet of Things applications and algorithms
  • Wireless communication and network protocols
  • Intelligent cybersecurity using AI-driven threat detection
  • eISSN2994-5305
  • Publication Frequency4 Issues per year