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
A Review on Microstrip Patch Antenna Performance Improvement Techniques on Various Applications
Volume-3 | Issue-3
Computer Vision on IOT Based Patient Preference Management System
Volume-2 | Issue-2
Study of Security Mechanisms to Create a Secure Cloud in a Virtual Environment with the Support of Cloud Service Providers
Volume-2 | Issue-3
Secure and Optimized Cloud-Based Cyber-Physical Systems with Memory-Aware Scheduling Scheme
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
DELAY DIMINISHED EFFICIENT TASK SCHEDULING AND ALLOCATION FOR HETEROGENEOUS CLOUD ENVIRONMENT
Volume-1 | Issue-1
Fault Diagnosis in Hybrid Renewable Energy Sources with Machine Learning Approach
Volume-3 | Issue-3
Green IoT: Current Scenario & Future Prospects
Volume-2 | Issue-4
A Comparative Analysis of Prediction of Student Results Using Decision Trees and Random Forest
Volume-4 | Issue-3
Fake News Detection using Data Mining Techniques
Volume-3 | Issue-4
Speedy Detection Module for Abandoned Belongings in Airport Using Improved Image Processing Technique
Volume-3 | Issue-4
SDN Controller and Blockchain to Secure Information Transaction in a Cluster Structure
Volume-3 | Issue-2
Design an Early Detection and Classification for Diabetic Retinopathy by Deep Feature Extraction based Convolution Neural Network
Volume-3 | Issue-2
Deployment of Artificial Intelligence with Bootstrapped Meta-Learning in Cyber Security
Volume-4 | Issue-3
A Review on Finding Efficient Approach to Detect Customer Emotion Analysis using Deep Learning Analysis
Volume-3 | Issue-2
Efficient Routing Algorithm using MLP and RBX in a Four Model Neural Networks
Volume-3 | Issue-3
Construction of reliable image captioning system for web camera based traffic analysis on road transport application
Volume-3 | Issue-2
Design of an Intelligent Approach on Capsule Networks to Detect Forged Images
Volume-3 | Issue-3
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
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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