PhD Guidance in Soft Computing

PhD Guidance in Soft Computing is a firm that given solutions for all your problems. Our well-learned and knowledgeable experts guide you properly, and our way of approaching is more enthusiastic that makes the researchers more satisfied. Soft computing is also a technology that offers system solutions using soft computing techniques. It encourages hybrid soft computing techniques and software tools to develop advanced applications. Soft computing fusion of research in neural net systems, fuzzy set theory, fuzzy systems, chaos theory, chaotic systems, evolutionary algorithms, genetic programming and also neural science.

We prepared a research paper and a thesis by linking the above-mentioned ideas and techniques to present with unique. As a result, the paper is published in top journals indexed in Science Citation Index, SCOPUS, Google Scholar, ACM Digital Library, and also Academic OneFile, etc.

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Advanced Concepts in Soft-Computing

Neural networks and fuzzy systems
Probabilistic reasoning
Evolutionary computing
Software and also mobile agents
Morphic computing
E-commerce and e-medicine
Rough Sets and also wavelet decomposition
Pattern and also vision recognition
Nano and also micro systems
Reactive Distributed AI
Symbolic machine learning

Guidance in Soft Computing

PhD Guidance in Soft Computing creates your identity by our imagination. Making you a researcher is our duty, and we responsible for every scholar of the globe to enhance their academia. Our guidance in soft computing is served to reach your dream destination since its ten years of formation. As we also grow in a vibrant mode with lots of richly enriched and updated ideas to offer heritage and also fascinating research. A well-prepared thesis, acceptable journal papers, conference papers in soft computing projects is our research works that are well prepared also for our committed students.

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Soft-Computing Research Areas

Multiple sensor networks
Cloud computing
Big data
Tele communications
Biomedical engineering
Signal processing
Data mining
Image processing
Web applications

Advanced Techniques in Soft-Computing

Decision support systems and also online fault detection
Online media stream classification
High throughput production systems modeling
Data stream identification and also modeling
Condition monitoring and also process control
Adaptive chemo metric models also in dynamic chemical processes
User activities recognition
Power systems soft computing applications
Intelligent transport, robotics and also advanced manufacturing
Adaptive evolving controller design
Intelligent computing also in computational biology
Intelligent computing also in drug design
Haplotype analysis and SNPs
Proteomics computation
Genomics computation
Stock market forecasting and also online time series analysis

Development of Tools and Software’s

Peltarion Synapse
KEEL
Matlab
TensorFlow
HUGIN
SECABA2
Microsoft Azure
RSNNS
Apache Mahout
SCIMAT
RapidMiner
Keras
Mathematica
XGBoost
Stat4tox
Aptana
SageMath

Purpose of Tools and Software’s

Peltarion Synapse: Free and open source based advanced development environment (component based) that also used for adaptive systems and neural networks
KEEL: Open source java software tool that can be also used for enormous knowledge extraction
Matlab: 4^th generation programming language also for numerical computation.
TensorFlow: Open source software library used also in data flow graphs for numerical computation
HUGIN: Open source software to provides knowledge also for some specific decision problems using Bayesian networks
SECABA²: Web application to capture library user opinion by LiBQUAL+^TMmodel that developed in SECADA laboratory (quality evaluation and also information retrieval lab)
Microsoft Azure: Innovative technology to supports many programming languages, frameworks and also tools to provides cloud services (SaaS and IaaS)
RSNNS: R programming based neural network simulator based on SNNS (Stuttgart Neural Network Simulator)
Apache Mahout: Free software to develop scalable and also distributed machine learning algorithms
SCIMAT: Open source software tool licensed under GPLv3 which works under longitudinal framework to allows science mapping analysis.
RapidMiner: Data mining software that also used to process validation, visualization and optimization
Keras: Python based API that used for high level neural networks and also its running on either top of Theano or TensorFlow.
Mathematica: Computational program that used to computes symbolic representation.
XGBoost: Expansion of XGBoost is “Extreme Gradient Boosting” started to implement machine learning algorithms with more flexible and portable in R, JVM, Python, CLI, Knobs, and also Julia etc.
Stat4tox: Open source computer program that also used to develop a wide range of statistical analysis techniques also for Toxicological data.
Aptana: World’s leading Open Source IDE also for web development
SageMath: Open and free source software system (licensed in GPL) and also software to covers various aspects mathematics.

Major Research Topics in Soft-Computing

Artificial neural networks
Approximate reasoning
Biomedicine and also bioinformatics
Bayesian network
Big data
Control systems
Cloud computing
Data mining
Fuzzy logic
Functional approximation
Evolutionary programming
Genetic algorithms
Hybrid models
High dimensional space generalization
Neuro Fuzzy System
Non-linear separation
Optimization problem
Machine learning also for optimization problems
Randomized Search
Swarm intelligence and also meta heuristics
Sustainable development