Focus and Scope

Generation Journal is a reputable scientific journal dedicated to publishing original research findings and significant contributions across various fields of Computer Science and Informatics. The journal invites academics, researchers, practitioners, and students to submit innovative, methodological, and applied manuscripts on the following topics:

Artificial Intelligence and Data Science 

  • Machine Learning: Algorithms, theory, and applications of supervised, unsupervised, and reinforcement learning.

  • Deep Learning: Complex neural network models, including CNN, RNN, and Transformers, and their implementations.

  • Data Mining: Pattern discovery, classification, clustering, and association in large datasets.

  • Soft Computing: Neural Networks, Fuzzy Logic, Genetic Algorithms, and evolutionary computation.

Media Processing and Computer Vision 

  • Image Processing & Computer Vision: Analysis, manipulation, and interpretation of images or videos to produce high-level information.

  • NLP (Natural Language Processing): Interaction between computers and human language, including language understanding, generation, and translation.

  • Voice Processing: Analysis, synthesis, and recognition of voice and speech.

Cybersecurity and Computing 

  • Cryptography & Steganography: Techniques for encoding, securing communication, and hiding data.

  • Digital Forensic: Methods and tools for the recovery, identification, and analysis of digital evidence.

  • Cloud & Grid Computation: Models, architectures, and management of large-scale distributed computing resources.

Networking and Web 

  • Networking: Protocols, architecture, security, and performance of computer networks.

  • Semantic Web: Technologies and standards for making data on the web machine-understandable.

  • Web Mining: Discovering patterns from web content, structure, and usage.

  • Text Mining: Extraction of valuable information from text data.

  • Web Development: Methods, frameworks, and cutting-edge technologies in developing web applications and online services.

Generation Journal is committed to publishing research that provides new insights and practical solutions, driving progress in science and technology.