Focus and Scope

The International Journal Science of Technology (IJSOT) focuses on publishing original research, comprehensive reviews, and high-quality technical papers in the fields of Artificial Intelligence (AI) and Data Science (DS). The journal is committed to advancing knowledge and promoting innovations that address global challenges through scientific discoveries and technological advancements.

IJSOT emphasizes interdisciplinary research that integrates cutting-edge developments in AI and DS. The journal encourages submissions in the following areas:

  1. Artificial Intelligence (AI)
    Topics include the latest advancements and applications in:

    1. Image Processing – Research on image processing, object detection, and visual recognition systems.
    2. Natural Language Processing (NLP) – Work on language models, sentiment analysis, machine translation, and text mining.
    3. Robotics – Innovations in autonomous systems, robot learning, human-robot interaction, and robotic applications, etc.

  2. Data Science (DS)
    Submissions related to various aspects of data analysis and modeling, including:

    1. Data Mining – Techniques for discovering patterns, trends, and insights from large datasets.
    2. Big Data – Research focusing on big data frameworks, scalability, and data-driven decision-making.
    3. Deep Learning – Advances in neural networks, unsupervised and supervised learning, and model optimization.
    4. Machine Learning – Innovations in algorithms, applications, and real-world implementations of machine learning.

IJSOT encourages the submission of high-impact research that demonstrates innovation, practical applications, and the potential to contribute to societal development. The journal welcomes contributions from both academia and industry, promoting a global exchange of knowledge in the fields of Artificial Inteligence and Data Science.