Call for Articles - International Journal of Computer Science & Information Technology (IJCSIT)

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The AIRCC's International Journal of Computer Science and Information Technology (IJCSIT) is devoted to fields of Computer Science and Information Systems. The IJCSIT is a open access peer-reviewed scientific journal published in electronic form as well as print form. The mission of this journal is to publish original contributions in its field in order to propagate knowledge amongst its readers and to be a reference publication.

Engineering

International Journal of Computer Science & Information
Technology (IJCSIT)
----INSPEC Indexed ----
WJCI Indexed
ISSN: 0975-3826(online); 0975-4660 (Print)
World Journal Clout Index (WJCI) Impact Factor : 0.242
Citations, h-index, i10-index of IJCSIT
**** Citations 10966, h-index 52, i10-index 260****
https://airccse.org/journal/ijcsit.html
Scope & Topics
The AIRCC's International Journal of Computer Science and Information Technology (IJCSIT) is
devoted to fields of Computer Science and Information Systems. The IJCSIT is a open access peer-
reviewed scientific journal published in electronic form as well as print form. The mission of this
journal is to publish original contributions in its field in order to propagate knowledge amongst its
readers and to be a reference publication.
IJCSIT publishes original research papers and review papers, as well as auxiliary material such as:
research papers, case studies, technical reports etc.
Topics of Interest
 Algorithms and Bioinformatics
 Computer Architecture and Real time Systems
 Database and Data Mining
 Dependable, reliable and autonomic computing
 Distributed and parallel systems & algorithms
 DSP/Image Processing/Pattern Recognition/Multimedia
 Embedded system and software
 Game and software engineering
 Geographical Information Systems/ Global Navigation Satellite Systems (GIS/GNSS)
 Grid and scalable computing
 Intelligent Information & Database Systems
 IT policy and business management
 Mobile and ubiquitous computing
 Modeling and Simulation
 Multimedia systems and services
 Networking and communications
 Parallel and Distributed Systems
 Security and Information Assurance
 Soft Computing (AI, Neural Networks, Fuzzy Systems, etc.)
 Software Engineering
 Web and internet computing
 Blockchain
 Data Mining
 Deep Learning
 Big Data

 Internet of Things
 Machine Learning & Applications
 NLP
Paper Submission
Authors are invited to submit papers for this journal through E-
mail: ijcsit@aircconline.com. Submissions must be original and should not have been
published previously or be under consideration for publication while being evaluated for this
Journal.
Important Dates
 Submission Deadline : February 04, 2023
 Notification : February 25, 2023
 Final Manuscript Due : February 27, 2023
 Publication Date : Determined by the Editor-in-Chief
Paper Submission Link: http://coneco2009.com/submissions/imagination/home.html
Here's where you can reach us : ijcsit@airccse.org or ijcsit@aircconline.com
Related Conferences:
11th
International Conference of Advanced Computer Science & Information
Technology (ACSIT 2023)
https://acsit2023.org/
11th
International Conference on Signal Image Processing and Multimedia (SIPM 2023)
https://acsit2023.org/sipm/index
4th
International Conference on Natural Language Processing, Information Retrieval
and AI (NIAI 2023)
https://ccseit2023.org/niai/index
12th
International Conference on Mobile & Wireless Networks (MoWiN 2023)
https://ccseit2023.org/mowin/index

In the era of data-driven warfare, the integration of big data and machine learning (ML) techniques has become paramount for enhancing defence capabilities. This research report delves into the applications of big data and ML in the defence sector, exploring their potential to revolutionize intelligence gathering, strategic decision-making, and operational efficiency. By leveraging vast amounts of data and advanced algorithms, these technologies offer unprecedented opportunities for threat detection, predictive analysis, and optimized resource allocation. However, their adoption also raises critical concerns regarding data privacy, ethical implications, and the potential for misuse. This report aims to provide a comprehensive understanding of the current state of big data and ML in defence, while examining the challenges and ethical considerations that must be addressed to ensure responsible and effective implementation.

The Impact of Cloud Computing in Promoting Economic Growth through SMEs in th...

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Cloud Computing, being one of the most recent innovative developments of the IT world, has been instrumental not just to the success of SMEs but, through their productivity and innovative contribution to the economy, has even made a remarkable contribution to the economic growth of the United States. To this end, the study focuses on how cloud computing technology has impacted economic growth through SMEs in the United States. Relevant literature connected to the variables of interest in this study was reviewed, and secondary data was generated and utilized in the analysis section of this paper. The findings of this paper revealed that there have been meaningful contributions that the usage of virtualization has made in the commercial dealings of small firms in the United States, and this has also been reflected in the economic growth of the country. This paper further revealed that as important as cloud-based software is, some SMEs are still skeptical about how it can help improve their business and increase their bottom line and hence have failed to adopt it. Apart from the SMEs, some notable large firms in different industries, including information and educational services, have adopted cloud computing technology and hence contributed to the economic growth of the United States. Lastly, findings from our inferential statistics revealed that no discernible change has occurred in innovation between small and big businesses in the adoption of cloud computing. Both categories of businesses adopt cloud computing in the same way, and their contribution to the American economy has no significant difference in the usage of virtualization.

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Image segmentation and classification tasks in computer vision have proven to be highly effective using neural networks, specifically Convolutional Neural Networks (CNNs). These tasks have numerous practical applications, such as in medical imaging, autonomous driving, and surveillance. CNNs are capable of learning complex features directly from images and achieving outstanding performance across several datasets. In this work, we have utilized three different datasets to investigate the efficacy of various preprocessing and classification techniques in accurssedately segmenting and classifying different structures within the MRI and natural images. We have utilized both sample gradient and Canny Edge Detection methods for pre-processing, and K-means clustering have been applied to segment the images. Image augmentation improves the size and diversity of datasets for training the models for image classification. This work highlights transfer learning’s effectiveness in image classification using CNNs and VGG 16 that provides insights into the selection of pre-trained models and hyper parameters for optimal performance. We have proposed a comprehensive approach for image segmentation and classification, incorporating preprocessing techniques, the K-means algorithm for segmentation, and employing deep learning models such as CNN and VGG 16 for classification.

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The security of Electric Vehicle (EV) charging has gained momentum after the increase in the EV adoption in the past few years. Mobile applications have been integrated into EV charging systems that mainly use a cloud-based platform to host their services and data. Like many complex systems, cloud systems are susceptible to cyberattacks if proper measures are not taken by the organization to secure them. In this paper, we explore the security of key components in the EV charging infrastructure, including the mobile application and its cloud service. We conducted an experiment that initiated a Man in the Middle attack between an EV app and its cloud services. Our results showed that it is possible to launch attacks against the connected infrastructure by taking advantage of vulnerabilities that may have substantial economic and operational ramifications on the EV charging ecosystem. We conclude by providing mitigation suggestions and future research directions.

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This paper describes the outcome of an attempt to implement the same transitive closure (TC) algorithm for Apache MapReduce running on different Apache Hadoop distributions. Apache MapReduce is a software framework used with Apache Hadoop, which has become the de facto standard platform for processing and storing large amounts of data in a distributed computing environment. The research presented here focuses on the variations observed among the results of an efficient iterative transitive closure algorithm when run against different distributed environments. The results from these comparisons were validated against the benchmark results from OYSTER, an open source Entity Resolution system. The experiment results highlighted the inconsistencies that can occur when using the same codebase with different implementations of Map Reduce.

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Call for Articles - International Journal of Computer Science & Information Technology (IJCSIT)

1. International Journal of Computer Science & Information Technology (IJCSIT) ----INSPEC Indexed ---- WJCI Indexed ISSN: 0975-3826(online); 0975-4660 (Print) World Journal Clout Index (WJCI) Impact Factor : 0.242 Citations, h-index, i10-index of IJCSIT **** Citations 10966, h-index 52, i10-index 260**** https://airccse.org/journal/ijcsit.html Scope & Topics The AIRCC's International Journal of Computer Science and Information Technology (IJCSIT) is devoted to fields of Computer Science and Information Systems. The IJCSIT is a open access peer- reviewed scientific journal published in electronic form as well as print form. The mission of this journal is to publish original contributions in its field in order to propagate knowledge amongst its readers and to be a reference publication. IJCSIT publishes original research papers and review papers, as well as auxiliary material such as: research papers, case studies, technical reports etc. Topics of Interest  Algorithms and Bioinformatics  Computer Architecture and Real time Systems  Database and Data Mining  Dependable, reliable and autonomic computing  Distributed and parallel systems & algorithms  DSP/Image Processing/Pattern Recognition/Multimedia  Embedded system and software  Game and software engineering  Geographical Information Systems/ Global Navigation Satellite Systems (GIS/GNSS)  Grid and scalable computing  Intelligent Information & Database Systems  IT policy and business management  Mobile and ubiquitous computing  Modeling and Simulation  Multimedia systems and services  Networking and communications  Parallel and Distributed Systems  Security and Information Assurance  Soft Computing (AI, Neural Networks, Fuzzy Systems, etc.)  Software Engineering  Web and internet computing  Blockchain  Data Mining  Deep Learning  Big Data

2.  Internet of Things  Machine Learning & Applications  NLP Paper Submission Authors are invited to submit papers for this journal through E- mail: ijcsit@aircconline.com. Submissions must be original and should not have been published previously or be under consideration for publication while being evaluated for this Journal. Important Dates  Submission Deadline : February 04, 2023  Notification : February 25, 2023  Final Manuscript Due : February 27, 2023  Publication Date : Determined by the Editor-in-Chief Paper Submission Link: http://coneco2009.com/submissions/imagination/home.html Here's where you can reach us : ijcsit@airccse.org or ijcsit@aircconline.com Related Conferences: 11th International Conference of Advanced Computer Science & Information Technology (ACSIT 2023) https://acsit2023.org/ 11th International Conference on Signal Image Processing and Multimedia (SIPM 2023) https://acsit2023.org/sipm/index 4th International Conference on Natural Language Processing, Information Retrieval and AI (NIAI 2023) https://ccseit2023.org/niai/index 12th International Conference on Mobile & Wireless Networks (MoWiN 2023) https://ccseit2023.org/mowin/index

Call for Articles - International Journal of Computer Science & Information Technology (IJCSIT)

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