An Accurate Bitcoin Price Prediction using logistic regression with LSTM Machine Learning model
Volume-3 | Issue-3
Energy Management System in the Vehicles using Three Level Neuro Fuzzy Logic
Volume-3 | Issue-3
Design of Distribution Transformer Health Management System using IoT Sensors
Volume-3 | Issue-3
Population Based Meta Heuristics Algorithm for Performance Improvement of Feed Forward Neural Network
Volume-2 | Issue-1
Review on Data Securing Techniques for Internet of Medical Things
Volume-3 | Issue-3
Cloud Load Estimation with Deep Logarithmic Network for Workload and Time Series Optimization
Volume-3 | Issue-3
A Comprehensive Review on Power Efficient Fault Tolerance Models in High Performance Computation Systems
Volume-3 | Issue-3
SOFT COMPUTING BASED AUTONOMOUS LOW RATE DDOS ATTACK DETECTION AND SECURITY FOR CLOUD COMPUTING
Volume-1 | Issue-2
Comparative Analysis of an Efficient Image Denoising Method for Wireless Multimedia Sensor Network Images in Transform Domain
Volume-3 | Issue-3
ENHANCED SOFT COMPUTING APPROACHES FOR INTRUSION DETECTION SCHEMES IN SOCIAL MEDIA NETWORKS
Volume-1 | Issue-2
An Integrated Approach for Crop Production Analysis from Geographic Information System Data using SqueezeNet
Volume-3 | Issue-4
An Accurate Bitcoin Price Prediction using logistic regression with LSTM Machine Learning model
Volume-3 | Issue-3
Automatic Diagnosis of Alzheimer’s disease using Hybrid Model and CNN
Volume-3 | Issue-4
Acoustic Features Based Emotional Speech Signal Categorization by Advanced Linear Discriminator Analysis
Volume-3 | Issue-4
Effective Prediction of Online Reviews for Improvement of Customer Recommendation Services by Hybrid Classification Approach
Volume-3 | Issue-4
Analysis of Statistical Trends of Future Air Pollutants for Accurate Prediction
Volume-3 | Issue-4
Design of Distribution Transformer Health Management System using IoT Sensors
Volume-3 | Issue-3
Identification of Electricity Threat and Performance Analysis using LSTM and RUSBoost Methodology
Volume-3 | Issue-4
Design of a Food Recommendation System using ADNet algorithm on a Hybrid Data Mining Process
Volume-3 | Issue-4
PERFORMANCE ANALYSIS OF GRANULAR COMPUTING MODEL IN SOFT COMPUTING PARADIGM FOR MONITORING OF FETAL ECHOCARDIOGRAPHY
Volume-1 | Issue-1
Recurrent neural networks and nonlinear prediction in support vector machines
Volume-1 | Issue-1
Survey on Neural Network Architectures with Deep Learning
Volume-2 | Issue-3
Real Time Monitoring and Fire Detection using Internet of Things and Cloud based Drones
Volume-2 | Issue-3
Big Data Analysis and Perturbation using Data Mining Algorithm
Volume-3 | Issue-1
Data Mining based Prediction of Demand in Indian Market for Refurbished Electronics
Volume-2 | Issue-2
Study on Hermitian graph wavelets in feature detection
Volume-1 | Issue-1
Soft computing based autonomous low rate DDOS attack detection and security for cloud computing
Volume-1 | Issue-2
Enhanced soft computing approaches for intrusion detection schemes in social media networks
Volume-1 | Issue-2
Soft Computing Strategies for Optimized Route Selection in Wireless Sensor Network
Volume-2 | Issue-1
Design of Improved Version of Sigmoidal Function with Biases for Classification Task in ELM Domain
Volume-3 | Issue-2
Journal of Soft Computing Paradigm
Editor-in-Chief: Dr. Joy Iong Zong Chen
ISSN: 2582-2640
4 issues per year
https://doi.org/10.36548/jscp
Soft computing is playing a significant role in developing a novel problem-solving paradigm for different real-life challenges. Recent years have witnessed the success of soft computing technology in discovering robust and sustainable solutions by dealing with imprecision, uncertainty, and approximation. Recent soft computing trends include evolutionary and swarm intelligence, bio-inspired computation, fuzzy systems, chaotic systems and neural networks.
The Journal of Soft Computing Paradigm [JSCP] encourages the research initiatives that work towards the integration of different soft computing methodologies and techniques to solve different real-time complexities. With the integration of different domains, JSCP serve as a multidisciplinary platform to showcase the comparisons, expansions, and new applications by connecting soft computing methodologies and techniques with other fields.
JSCP publishes the novel state-of-the-art and interdisciplinary research works. This journal's scope includes wide-range of soft computing and related approaches, as well as interactions between multiple soft computing techniques and their real-time applications in both academia and industries.
- Encourages researchers that make soft computing technologies suitable for real-time applications.
- Focuses on providing access to the wide range of significant research results in the domain of soft computing.
- Intends to establish an interdisciplinary platform to combine soft computing with other related computational intelligence domains.
- Covers all the state-of-the-art techniques, applications and future of soft computing paradigm.
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