FP- International Journal of Computer Science Research (IJCSR)

IJCSR is a peer-reviewed journal with HIGH IMPACT FACTOR aiming to publish current and relevant findings from cutting edge research in AI, IOT, big data, data science, data mining, cloud computing , information security and innovation in computer technology & programming language.

  • Editor: Dr. Mahua Bhattacharya
  • Starting Year: 2014
  • ISSN: XXXX-XXXX (Online)
  • Impact Factor: Under Evalution
  • ISSUE Per Year: 4 times (Quarterly)
  • Language: English
  • Subject: Computer Science
  • Download Journal's Template

FP- International Journal of Computer Science Research (IJCSR) is an open access , double-blind peer review journal publishes by FOREX International Press that reports about findings from latest research in the concerned discipline involving the means of production and goods and services, and the ways for their optimum utilization. The research papers are also based on the areas of Computer Science, Algorithm, Genetic Algorithm, Computer Applications, Robotics, Artificial Intelligence, Bioinformatics, Cloud Computation, Computational Sciences, Data Mining, Machine Learning, Mathematical Modeling, Cryptography, Neural Network, Robotics Research, Internet and Cyber Security, Wireless Engineering, Networking Fuzzy Network, Cybernetics and Security, High Performance Computing Computer Aided Designs etc.

Under the norms of open access, the contents of the FP- International Journal of Computer Science Research can be transmitted and shared through the online medium to facilitate quick dissemination of research. The journal reports about the latest findings in the domain in the form of articles submitted by research authors. A comprehensive peer-review process ensures the published articles are in line with open access publishing standards and comprised of genuine research article or case reports. The respective tracking system helps editors and reviewers through the handling process.

It is an online manuscript submission, review systems. Review processing is performed by the editorial board members of FP- International Journal of Computer Science Research or outside experts; at least two independent reviewers approval followed by editor approval is required for acceptance of any citable manuscript. Authors may submit manuscripts and track their progress through the system, hopefully to publication. Reviewers can download manuscripts and submit their opinions to the editor. Editors can manage the whole submission/review/revise/publish process.

Submit your manuscript to the Editorial Office at editor_ijcsr@forexjournal.co.in

Quantum Security Using Enhanced BB84 Protocol

Quantum Computers are the super-fast computers that work on the principle of polarization of light photons ...

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A Survey on Evolutionary Optimization Approaches towards Medical...Thresholding

Image segmentation in medical image processing is basically needed for identifying abnormalities in biomedical ...

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Multi-Objective Optimization and It’s Application in Cloud Computing

The cloud services comprise of altered functionalities at variable costs, and changeable reliability. So the customer’s ...

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Call for research papers -IJCSR

What people say about us

  • The process, from initial submission to final acceptance was very smooth and fast (submitted April 26, published May 15). It is easy to get in touch with the editorial staff for any question by email, you receive a reply within few hours.

    Dr. Fabrice Collin Ph.D.
  • Very efficient, professional, responsive and respectful. Serious regarding presenting a high standard of work.

    Dr. Daniah Trabzuni Ph.D.
  • We have been very happy to see how fast our paper got reviewed and published. There is another paper undergoing review at present in your journal. Let this be over, then we can write a testimonial covering both experiences

    Dr. Ashish sharma Ph.D.

Journal Indexed with

Special issues on

Fuzzy logic is an important concept in the theory of intelligent control systems. Based on this, new methods in the control domain and decision-making have been developed. The first applications in the field of regulation began in 1975. Since 1985, especially in Japan, a real explosion of practical applications has occurred using fuzzy logic. In the literature, numerous research results have been reported for the use of fuzzy logic principles in the control of industrial processes. Fuzzy logic offers a different way of dealing with control problems, compared to classical methods based on linear PID controllers. In the case of fuzzy regulation, conventional algorithms are replaced by a series of linguistic rules of the if (condition) then (conclusion). This gives a heuristic algorithm, and can take into account the operator's experience in controlling the process. The Issue aims to include new research results in scientific fields such as fuzzy controllers for linear and non-linear systems, advanced fuzzy logic control structures, fuzzy algorithms for search, classification, approximation and learning, technology, implementation, and practical applications. The authors are invited to publish working examples and case studies resulting from their research in the field, presenting precise methods of designing fuzzy logic-based regulation systems; precise methods of stability analysis; the possibility of using fuzzy logic for conducting complex, non-linear, and time-varying processes using process linguistic knowledge, deduced from expert knowledge on control issues; and the possibility of performing exceptional treatments, with changing control strategies as a result of a change in the process, to demonstrate the confidence in these structures and that they can undoubtedly provide a better quality of control. Readers are eager to receive new solutions and answers to questions related to emerging theoretical fuzzy logic control structure applications and their implementation.

The aim of intelligent smart building and smart city systems is to provide efficient, secure, trustworthy, seamless service, automation time, for better living and working conditions for humans. Intelligent smart systems will receive feedback from humans for real time response and changes. Specifically, various types of sensors will be used heavily by smart buildings and smart cities to offer better services. Sensor-based intelligent systems can improve the performance of public services, home automation, healthcare automation, public services, water supply, energy efficiency, and renewable energy. Intelligent systems are capable of implementing these features for manifold benefits in the areas of environmental behavior tracking, traffic monitoring, improved networked services, and social life services.

The Special Issue aims to gather recent advances in the area of machine intelligence embodied in sensor technologies for IoT-enabled smart city and building applications, welcoming contributions from both theoretical and practical aspects of the IoT ecosystems. Topics of interest include (but are not limited to) the following:

Sensor processing techniques for intelligent-based smart buildings and smart cities;

Sensor based architectures, protocols, and algorithms in intelligent-based smart buildings and smart cities;

Real-time sensor data processing for intelligent-based smart buildings and smart cities;

Intelligent-based smart buildings and smart city applications for sustainable eco-cities (for environmentally friendly transportation, waste management, eco-friendly buildings, etc.);

Reliability, security, safety, privacy, and trust issues in intelligent-based smart buildings and smart cities;

QoE and QoS provisioning for intelligent-based smart buildings and smart city applications;

Distributed and networked sensors for intelligent-based smart buildings and smart cities.

Programming is still a mainly manual process. The amount of detail a programmer needs to consider while developing and algorithm can be quite large. To help programmers, there are three main areas of research:

1) Code Generation: The development of tools to generate code based on domai- specific languages. Some good old examples are compiler generators, like flex or yacc. Other more recent tools follow this idea, like Microsoft Entity Framework, or the VDMTools specification language. Nevertheless, there is still room for improvement and automation;

2) Code Analysis: A large amount of code is running on a daily basis on the planet. While some code is quite recent, there is a large amount of legacy software still running. Either to keep legacy software running smoothly, or to help finding bugs in recently developed software, there are tools and companies dedicated to analyzing code, finding its flaws. Unfortunately, most of these tools do static analysis and still have limitations when it comes to detecting some critical situations;

3) Code Testing: Related to the analysis of software is software quality testing. In the last few years, a large number of programmers have been adopting agile techniques that foster the usage of test-driven development, feature-driven development, and continuous integration and deployment. The main drawback is that tests are being written by the same programmers developing applications, making the development slower, and resulting in biased unit tests.

This Special Issue’s main focus is the development of tools and practices to help developers in these three aspects.