Focus and Scope

Journal Scope

Focus and Scope

BIMA — Bulletin of Intelligent Machines and Algorithms

BIMA (Bulletin of Intelligent Machines and Algorithms) publishes original research articles, review articles, and technical notes covering a broad range of topics related to intelligent machines, artificial intelligence, and computational algorithms. The journal welcomes research that contributes to the development, evaluation, and application of intelligent methods and algorithmic approaches in both theoretical and practical settings.

Areas Covered

The scope of BIMA includes, but is not limited to, the following areas:

AI

Artificial Intelligence

Methodologies, algorithms, and architectures for building intelligent systems, including knowledge representation, reasoning, learning, and perception.

ML

Machine Learning

Supervised, unsupervised, semi-supervised, and reinforcement learning algorithms, including their applications to real-world problems.

DL

Deep Learning

Advanced neural network architectures, including CNNs, RNNs, Transformers, and their applications in image, video, text, and signal processing.

CV

Computer Vision

Image processing, object detection and recognition, image segmentation, motion analysis, and visual scene understanding in intelligent systems.

DM

Data Mining

Techniques and computational approaches for discovering patterns, relationships, and useful knowledge from large and complex datasets.

OA

Optimisation Algorithms

Theory, development, and applications of optimisation techniques for continuous, discrete, and complex computational problems.

CI

Computational Intelligence

Evolutionary algorithms, fuzzy logic, swarm intelligence, and other computational approaches for solving complex problems.

NLP

Natural Language Processing

Research on language understanding, machine translation, text analysis, language representation, and related computational methods.

AP

Applications

Applications of artificial intelligence and algorithms in healthcare, finance, industry, education, and other relevant domains.

RS

Robotics and Autonomous Systems

Intelligent robots, human-robot interaction, autonomous systems, autonomous vehicles, and related intelligent control technologies.

Interdisciplinary Research Welcome

BIMA welcomes interdisciplinary studies that combine intelligent algorithms with domain-specific knowledge and real-world applications. Submissions may address theoretical developments, methodological advances, empirical evaluation, or practical implementations, provided that they offer a clear contribution to the field of intelligent machines and algorithms.

BIMA — Bulletin of Intelligent Machines and Algorithms
E-ISSN 3123-5115 · Maheswari Publisher · Bandung, Indonesia