DS Journal of Digital Science and Technology (DS-DST)

DS Journal of Digital Science and Technology
Editor in ChiefProf. Dr. S. Nallusamy

Department of ACEE, Jadavpur University,
Kolkata - 700 032, India.

ISSN (Online)2583-5416
SubjectDigital Science and Technology
Year of Starting2022
Publication Frequency4 Issue Per Year
LanguageEnglish
Paper Submission IDscitech@dsjournals.com
Format of PublicationOnline
Publication FeeFree of Cost Journal
PublisherDream Science

Aim and Scope

DS Journal of Digital Science and Technology (DS-DST) is an international, multidisciplinary, scholarly peer reviewed research publishing open access Journal. The journal focused on the recent research works addressing the integration of digital science in the world of digital applications, digital innovations, digital transformations, digital technologies and digitization initiatives in all areas. It also covers the theoretical and empirical research and also on the critical analysis of Digital Science and technology development, uses, cases, and its impacts. DST emphasizes innovative applications in advanced computing, simulation, and analytics, among other cutting-edge techniques.

DST is intended for researchers, academicians and industrialists in the fields of Digital Science and technology. The journal publishes peer-reviewed research articles, and also reviews & analyses, short communications, case studies, and more. It is primarily interested in the convergence of new technologies, such as cloud, analytics, blockchain, robotics, automation, internet of things and digital technologies. Subjects in scope include:

Papers are solicited from, but not limited to the following topics:

  • Artificial and augmented intelligence

  • Artificial neural networks

  • Augmented reality

  • Authentication and identity management technologies

  • Big Data Technologies

  • Bitcoin, cryptocurrency and digital cash

  • Blockchain and emerging technologies

  • Computability theory

  • Computational imaging

  • Computational intelligence, machine learning methods

  • Computational mechanics of solids and fluids

  • Cryptography and coding for signals

  • Cyber security compliance

  • Cybernetics

  • Cyber-physical systems

  • Cybersecurity and data protection

  • Darknet and Darkweb

  • Data mining

  • Deep learning

  • Denial of service (dos)

  • Digital signal processing

  • Digital Communications and Networks

  • Fuzzy logic

  • Genetic algorithms

  • Graphics

  • Green computing

  • Human-Computer Interaction

  • Human-machine interface

  • Information and communications technology

  • Intelligent machine/agent

  • Interaction with computers

  • Internet of Things

  • Machine Learning

  • Neural networks and machine learning

  • Neuroimaging and neuroinformatic

  • Robotics

  • Safety and Security

  • Wireless sensor network

  • Wearable Computing

  • Network security