An Accurate Bitcoin Price Prediction using logistic regression with LSTM Machine Learning model
Volume-3 | Issue-3
Design of Distribution Transformer Health Management System using IoT Sensors
Volume-3 | Issue-3
Energy Management System in the Vehicles using Three Level Neuro Fuzzy Logic
Volume-3 | Issue-3
Cloud Load Estimation with Deep Logarithmic Network for Workload and Time Series Optimization
Volume-3 | Issue-3
Review on Data Securing Techniques for Internet of Medical Things
Volume-3 | Issue-3
Population Based Meta Heuristics Algorithm for Performance Improvement of Feed Forward Neural Network
Volume-2 | Issue-1
Automatic Diagnosis of Alzheimer’s disease using Hybrid Model and CNN
Volume-3 | Issue-4
Comparative Analysis of an Efficient Image Denoising Method for Wireless Multimedia Sensor Network Images in Transform Domain
Volume-3 | Issue-3
A Comprehensive Review on Power Efficient Fault Tolerance Models in High Performance Computation Systems
Volume-3 | Issue-3
Design of a Food Recommendation System using ADNet algorithm on a Hybrid Data Mining Process
Volume-3 | Issue-4
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
Design of Distribution Transformer Health Management System using IoT Sensors
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
Design of a Food Recommendation System using ADNet algorithm on a Hybrid Data Mining Process
Volume-3 | Issue-4
Analysis of Statistical Trends of Future Air Pollutants for Accurate Prediction
Volume-3 | Issue-4
Identification of Electricity Threat and Performance Analysis using LSTM and RUSBoost Methodology
Volume-3 | Issue-4
Implementation of Voter by using Artificial Bee Colony Algorithm for Fault Tolerant System
Volume-4 | Issue-3
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
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).
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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