For Authors

Aims:

The journal welcomes high-quality theoretical, methodological, and applied research in artificial intelligence and related disciplines.

Scopes:

Category 1: Foundations and Core Methods

* Probability and information theory

* Knowledge representation and reasoning

* Machine learning

* Supervised, unsupervised, semi-supervised, and self-supervised learning

* Deep learning

* Convolutional Neural Networks (CNN)

* Recurrent Neural Networks (RNN)

* Transformers and large language models

* Graph Neural Networks (GNN)

* Generative Adversarial Networks (GAN)

* Diffusion models

* Reinforcement learning

* Evolutionary computation

* Probabilistic graphical models

* Transfer learning

* Meta-learning

* Federated learning
* Continual learning

* Neuro-symbolic AI systems

Category 2: Perception, Language, and Multimodal Intelligence

1. Computer Vision

* Image segmentation

* 3D reconstruction

* Video understanding

* Image and video generation

2. Natural Language Processing

* Text classification

* Named entity recognition

* Machine translation

* Question answering

* Summarization

* Dialogue systems

* Information extraction

3. Speech and Audio Processing

* Automatic speech recognition

* Text-to-speech systems

* Speaker recognition

4. Multimodal Learning

* Vision-language models

* Caption generation

* Visual question answering

* Text-to-image and text-to-video generation

Category 3: Decision Making, Planning, and Robotics

Research related to intelligent reasoning, planning, autonomous systems, and robotics. Topics include:

* Automated planning

* Probabilistic planning

* Hierarchical planning

* Multi-agent systems

* Cooperative and competitive learning

* Game theory

* Negotiation systems

* Robotics and autonomous systems

* SLAM and localization

* Motion planning and control

* Robotic manipulation

* Human-robot interaction

* Drone systems

* Explainable AI (XAI)

* Human-in-the-loop learning

* AI safety and trustworthy AI

Category 4: Applications and Interdisciplinary AI
Research on practical deployment of AI across scientific, industrial, engineering, and social domains.

Topics include:

* AI for engineering

* AI for scientific discovery

* AI for healthcare

* AI for education

* AI for finance

* AI for manufacturing

* AI for smart cities

* AI for environmental science

* AI for social sciences

* AI ethics and governance

* Industrial AI applications

The journal accepts the following manuscript categories:

* Original Research Articles

* Review Articles

* Survey Papers

* Short Communications

* Technical Reports

* Case Studies

* Interdisciplinary Application Papers

JAAIS operates a rigorous double-blind peer review system in which authors and reviewers remain anonymous throughout the review process.

Review Workflow

Editorial Timeline Commitments

Initial editorial decision: within 15 days

First-round peer review decision: within 45 days

Submission to online publication: generally within 90 days

The editorial board reserves the right to request revisions, reject submissions, or seek additional expert evaluations when necessary.