A Review on Finding Efficient Approach to Detect Customer Emotion Analysis using Deep Learning Analysis
Volume-3 | Issue-2
A Review on Microstrip Patch Antenna Performance Improvement Techniques on Various Applications
Volume-3 | Issue-3
Construction of Black Box to Detect the Location of Road Mishap in Remote Area in the IoT Domain
Volume-3 | Issue-2
SDN Controller and Blockchain to Secure Information Transaction in a Cluster Structure
Volume-3 | Issue-2
Fault Diagnosis in Hybrid Renewable Energy Sources with Machine Learning Approach
Volume-3 | Issue-3
Removal of Gaussian White Noises from the image by probability map prediction based Deep learning approach
Volume-3 | Issue-3
Construction of reliable image captioning system for web camera based traffic analysis on road transport application
Volume-3 | Issue-2
ENHANCED NETWORK PERFORMANCE AND MOBILITY MANAGEMENT OF IOT MULTI NETWORKS
Volume-1 | Issue-2
Stochastic Geometry and Performance Analysis of Large Scale Wireless Networks
Volume-3 | Issue-3
BIG DATA ANALYTICS FOR SMART CLOUD-FOG BASED APPLICATIONS
Volume-1 | Issue-2
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
Design an Early Detection and Classification for Diabetic Retinopathy by Deep Feature Extraction based Convolution Neural Network
Volume-3 | Issue-2
Green IoT: Current Scenario & Future Prospects
Volume-2 | Issue-4
Novel Shared Key Transfer Protocol for Secure Data Transmission in Distributed Wireless Networks
Volume-2 | Issue-2
Secure and Optimized Cloud-Based Cyber-Physical Systems with Memory-Aware Scheduling Scheme
Volume-2 | Issue-3
DELAY DIMINISHED EFFICIENT TASK SCHEDULING AND ALLOCATION FOR HETEROGENEOUS CLOUD ENVIRONMENT
Volume-1 | Issue-1
BIG DATA ANALYTICS FOR SMART CLOUD-FOG BASED APPLICATIONS
Volume-1 | Issue-2
PERFORMANCE ENHANCEMENT AND SECURITY ASSISTANCE FOR VANET USING CLOUD COMPUTING
Volume-1 | Issue-1
Technical Analysis of ZigBee Wireless Communication
Volume-2 | Issue-4
Survey of data mining algorithm’s for intelligent computing system
Volume-1 | Issue-1
Performance evaluation of routing algorithm for Manet based on the machine learning techniques
Volume-1 | Issue-1
Design and development ai-enabled edge computing for intelligent-iot applications
Volume-1 | Issue-2
A Data Driven Trust Mechanism Based on Blockchain in IoT Sensor Networks for Detection and Mitigation of Attacks
Volume-3 | Issue-1
Computer vision for human-machine interaction-review
Volume-1 | Issue-2
Analysis of Deep Learning Techniques for Early Detection of Depression on Social Media Network-A Comparative Study
Volume-3 | Issue-1
Location-based Orientation Context Dependent Recommender System for Users
Volume-3 | Issue-1
Optimal Key Handover Management for Enhancing Security in Mobile Network
Volume-2 | Issue-4
Anomalies Detection in Fog Computing Architectures Using Deep Learning
Volume-2 | Issue-1
Delay diminished efficient task scheduling and allocation for heterogeneous cloud environment
Volume-1 | Issue-1
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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