A Review on Microstrip Patch Antenna Performance Improvement Techniques on Various Applications
Volume-3 | Issue-3
A Review on Finding Efficient Approach to Detect Customer Emotion Analysis using Deep Learning Analysis
Volume-3 | Issue-2
A Comparative Analysis of Prediction of Student Results Using Decision Trees and Random Forest
Volume-4 | Issue-3
Study of Security Mechanisms to Create a Secure Cloud in a Virtual Environment with the Support of Cloud Service Providers
Volume-2 | Issue-3
Construction of Black Box to Detect the Location of Road Mishap in Remote Area in the IoT Domain
Volume-3 | Issue-2
Fault Diagnosis in Hybrid Renewable Energy Sources with Machine Learning Approach
Volume-3 | Issue-3
Secure and Optimized Cloud-Based Cyber-Physical Systems with Memory-Aware Scheduling Scheme
Volume-2 | Issue-3
Stochastic Geometry and Performance Analysis of Large Scale Wireless Networks
Volume-3 | Issue-3
Computer Vision on IOT Based Patient Preference Management System
Volume-2 | Issue-2
Fake News Detection using Data Mining Techniques
Volume-3 | Issue-4
A Review on Microstrip Patch Antenna Performance Improvement Techniques on Various Applications
Volume-3 | Issue-3
Fake News Detection using Data Mining Techniques
Volume-3 | Issue-4
A Comparative Analysis of Prediction of Student Results Using Decision Trees and Random Forest
Volume-4 | Issue-3
Speedy Detection Module for Abandoned Belongings in Airport Using Improved Image Processing Technique
Volume-3 | Issue-4
Deployment of Artificial Intelligence with Bootstrapped Meta-Learning in Cyber Security
Volume-4 | Issue-3
Design an Early Detection and Classification for Diabetic Retinopathy by Deep Feature Extraction based Convolution Neural Network
Volume-3 | Issue-2
Design of an Intelligent Approach on Capsule Networks to Detect Forged Images
Volume-3 | Issue-3
Future Challenges of the Internet of Things in the Health Care Domain - An Overview
Volume-3 | Issue-4
Construction of Black Box to Detect the Location of Road Mishap in Remote Area in the IoT Domain
Volume-3 | Issue-2
A Review on Finding Efficient Approach to Detect Customer Emotion Analysis using Deep Learning Analysis
Volume-3 | Issue-2
Journal of Trends in Computer Science and Smart Technology
Editor-in-Chief: Dr. V. Suma
ISSN: 2582-4104
4 issues per year
https://doi.org/10.36548/jtcsst
Starting year of publication: 2019
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).
Journal of Trends in Computer Science and Smart technology (TCSST) is an international forum for scientists, research scholars, and engineers involved in all the different aspects of computer science and technology to publish state-of-the-art and high quality research articles. This multidisciplinary journal will present readers with a diverse range of publications, which include independent/group research works, review articles that are of interest to the international research community.
The aim of the journal is to update the researchers on the significant research breakthroughs in a wide range of topics by presenting novel experiments, approaches, and concepts that enhance understanding of diverse areas of computer science. This journal is particularly interested in (but not limited to) the following sub-fields: computer architectures, programming languages, computing algorithms, sentiment analysis, natural language processing, GUI/computer graphics, computer security, augmented/virtual reality, artificial intelligence, and also the research articles that report on different topical areas and research progress initiated by computer scientists across the globe.
- Emphasizes the emerging and interdisciplinary research progress on the computer science domain.
- Investigates the theory, algorithms and methods involved in computer engineering practices.
- Archives novel research and innovative applications in all the aspects of computer science.
- Promotes the research insight and understanding on the state-of-the-art computer technologies.
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