Implementation

We have a large enough resource team with appropriate knowledge to assist you in both research and development. We also offer services like Implementation, Data Collection, Case-study and Statistics Service.

The following is the list of programming languages and tools we support to implement your research ideas in various applications.

Python
Through Python programming language, the applications we built upon the concepts of Machine and Deep Learning in various domains such as,

  • Power Generation Prediction
  • Disease detection like Brain tumors and so on
  • Macular Edema Analysis,
  • IoT based security enhancement,
  • Energy-efficient data transmission.
  • Attack detection in Cloud.

SPSS

  • In SPSS Tool, we perform operations on descriptive statistics, including methodologies such as frequencies, cross-tabulation, and descriptive ratio statistics.
  • Bivariate statistics including methodologies such as analysis of variance (ANOVA), means, correlation, and nonparametric tests.
  • Numeral outcome prediction such as linear regression.
  • Prediction for identifying groups, including methodologies such as cluster analysis and factor analysis.

Few applications we handled using SPSS are Social Media based interest Prediction, Women Entrepreneurship in India, Customer Vulnerability in Ecommerce detection, and so on.

Network Simulator Tool
It is important to analyze a network by using significant metrics that are apt for the concept. Using network simulators (ns-2, ns-3), the performance of the network such as energy efficiency in MANET, WSN, DTMN, data transmission in wired networks, mobile ad hoc networks, sensor networks, Vehicular ad hoc networks, can be simulated.

MATLAB
We cover all fundamentals from basic to advanced operations for a range of applications including image and video processing, reinforcement learning, deep learning, machine learning, signal processing, and Communications.

Cloudsim
We support cloud-based modeling and simulations in cloud-related issues in the research field. Few applications we handled are Green Computing in Cloud, Resource Management, and so on.

In-depth categorization of ML and DL algorithms

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What is AI? Artificial Intelligence (AI) refers to the development of computer systems capable of performing tasks traditionally requiring human intelligence. These tasks encompass understanding natural language, discerning patterns in data, learning from experience, and decision-making. AI systems strive to emulate human cognitive abilities like reasoning, problem-solving, perception, and learning. ML Machine Learning (ML) is […]

Qualnet

Qualnet – Network Simulation Software

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What is Qualnet? QualNet is a testing and simulation tool owned and provided by Scalable Network Technologies, Inc. As network simulation software, it acts as a planning, testing, and training tool which mimics the behavior of a physical communications network. Qualnet in Research QualNet enables the evaluation of on-the-move communication networks faster and with more […]

Research based Software and Application based Software

9 Popular Software or Tools in Academic Research

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1.JMP (John’s Macintosh Project) – Statistical Software JMP is an on-premise data analytics solution that helps scientists, engineers and data explorers understand complex data relationships and visualize them via interactive dashboards. JMP can be automated with its proprietary scripting language, JMP Scripting Language (JSL). Operating System: Windows, Macintosh Type: Statistical package, visualization, multivariate analysis, genomics, […]