Sentiment Analysis of Nepali COVID19 Tweets Using NB, SVM AND LSTM
Volume-3 | Issue-3
Blockchain-Enabled Federated Learning on Kubernetes for Air Quality Prediction Applications
Volume-3 | Issue-3
Smart Fashion: A Review of AI Applications in Virtual Try-On & Fashion Synthesis
Volume-3 | Issue-4
Deniable Authentication Encryption for Privacy Protection using Blockchain
Volume-3 | Issue-3
Hybrid Parallel Image Processing Algorithm for Binary Images with Image Thinning Technique
Volume-3 | Issue-3
Smart Medical Nursing Care Unit based on Internet of Things for Emergency Healthcare
Volume-3 | Issue-4
QoS-aware Virtual Machine (VM) for Optimal Resource Utilization and Energy Conservation
Volume-3 | Issue-3
Probabilistic Neural Network based Managing Algorithm for Building Automation System
Volume-3 | Issue-4
Fusion based Feature Extraction Analysis of ECG Signal Interpretation - A Systematic Approach
Volume-3 | Issue-1
Review on Image Recoloring Methods for Efficient Naturalness by Coloring Data Modeling Methods for Low Visual Deficiency
Volume-3 | Issue-3
Smart Fashion: A Review of AI Applications in Virtual Try-On & Fashion Synthesis
Volume-3 | Issue-4
Deniable Authentication Encryption for Privacy Protection using Blockchain
Volume-3 | Issue-3
Real Time Anomaly Detection Techniques Using PySpark Frame Work
Volume-2 | Issue-1
Sentiment Analysis of Nepali COVID19 Tweets Using NB, SVM AND LSTM
Volume-3 | Issue-3
Audio Tagging Using CNN Based Audio Neural Networks for Massive Data Processing
Volume-3 | Issue-4
Frontiers of AI beyond 2030: Novel Perspectives
Volume-4 | Issue-4
Smart Medical Nursing Care Unit based on Internet of Things for Emergency Healthcare
Volume-3 | Issue-4
Early Stage Detection of Crack in Glasses by Hybrid CNN Transformation Approach
Volume-3 | Issue-4
Artificial Intelligence Algorithm with SVM Classification using Dermascopic Images for Melanoma Diagnosis
Volume-3 | Issue-1
An Efficient Machine Learning based Model for Classification of Wearable Clothing
Volume-3 | Issue-4
Journal of Artificial Intelligence and Capsule Networks
Editor-in-Chief: Prof. Dr. Subarna Shakya
ISSN: 2582-2012
4 issues per year
https://doi.org/10.36548/jaicn
Insights
3-4 weeks
Submission to first decision
The average number of weeks it takes to complete the first decision. It could either be a rejection without peer review or a request to revise before peer review.
2-3 weeks
Publication time
The average number of weeks it takes to reach from manuscript acceptance to the first appearance of the article online (with DOI).
In this data driven world, Artificial Intelligence [AI] technologies is widely accepted as the major contributor of the digital transformation in diverse application areas of our society. The journal brings together the state-of-the-art research results in all aspects of Artificial Intelligence [AI] with a particular emphasis on image processing and computer vision models. Artificial Intelligence and Capsule Networks [AICN] Journal serves as a platform for showcasing the research efforts of academicians, scholar and application developers in these domains.
The journal has also extended its focus on the related applications of Machine Perception, Robotics, Cyber-Physical Systems, Internet of Things, Complex Networks, Expert & Multi-agent Systems, Complex and Intelligent Systems, Networks, Artificial Vision, Natural Language and Web Intelligence, Recommendation System, Human-Computer Interface, and Knowledge Representation.
Original research articles, demonstrations, evaluations, case studies, and state-of-the-art contributions from the research, implementation, and standardization communities are published in Artificial Intelligence and Capsule Networks [AICN] Journal.
- The journal helps in attaining the timely disclosure of critical research findings to the worldwide artificial intelligence (AI) community.
- The journal publishes the articles describe the competitive design, as well as report and interpret challenging results with a focus on insights that are useful beyond the existence.
- The journal brings together and promotes interaction between industry and academia groups in order to enhance the future research direction.
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