Daily Archives: March 30, 2026

Authors: Md Tanvir Ahamed

Abstract: Software bugs remain one of the most persistent challenges in software development, consuming 50-75% of developer time and costing the global economy over $2 trillion annually. This paper presents a multi-language approach to automated bug detection and fixing using the T5-Small transformer model. We construct a dataset of 2,600 real bug examples from Defects4J, BugSwarm, QuixBugs, GitBugs, and 500 novel multi-error examples. The T5-Small model (60M parameters) is fine-tuned with optimal hyperparameters. Our evaluation framework employs seven metrics with mathematical formulations. Experimental results demonstrate 68.46% Normalized Exact Match, 93.74% F1 Score, and 99.55% ROUGE-1. The model performs effectively on both Python (70.0%) and Java (65.0%). All artifacts are released open-source.

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Published by: vikaspatanker

Authors: Rajani Devi K, Gowri Sankar R, Gayathri Reddy R, Harsha Vardhan V, Srikanth T

Abstract: In the modern software development landscape, countless developers—particularly students, beginners, and hobbyists—build innovative web applications but fail to deploy them to the internet due to the complexity of traditional deployment processes. Deploying an application requires extensive knowledge of cloud platforms such as AWS, GCP, or Cloudflare, involving technical hurdles including renting and configuring cloud instances, purchasing domains, setting up web servers, and managing infrastructure. This steep learning curve creates a significant barrier to entry, causing many developers to abandon their fully-functional applications at the development stage without ever making them publicly accessible, thereby limiting innovation visibility and preventing developers from building their portfolios.

 

 

Published by: vikaspatanker

Authors: Tushar Chaudhari

Abstract: The public release of ChatGPT in late 2022 marked a turning point in the adoption and academic investigation of Generative Artificial Intelligence (GenAI). This systematic literature review synthesises 39 peer-reviewed studies to evaluate the applications, pedagogical benefits, and governance challenges of GenAI across global educational contexts. The findings identify four primary application domains: personalised intelligent tutoring, automated content creation, multimodal learning materials, and academic research assistance. Synthesis of the evidence reveals substantial improvements in student performance and affective-motivational states, particularly through adaptive scaffolding and real-time feedback. However, these benefits are countered by significant risks involving academic integrity, "hallucinations," and the potential for cognitive over-reliance. Parallel to these pedagogical concerns, the evidence base remains heavily concentrated in higher education and high-income regions, leaving critical gaps in K-12 settings and the Global South. This review concludes that while GenAI offers transformative potential for personalised learning, its sustainable integration requires robust institutional policy and longitudinal research into long-term cognitive outcomes.

DOI: https://doi.org/10.5281/zenodo.19331843

Published by: vikaspatanker

Authors: Pushkar Chaudhari, Vaibhav Thakre, Tushar Chaudhari, Tanya Bhaute, Dr. Rais Khan

Abstract: Port scanning is a fundamental technique used in cybersecurity for identifying active services and potential vulnerabilities in networked systems. As modern networks grow in complexity, efficient and scalable scanning tools become increasingly important for administrators and security researchers. This paper presents the design and development of an advanced multithreaded port scanner implemented in Python and executed on the Linux operating system. The proposed system aims to provide efficient port discovery, faster scanning performance, and structured reporting for network security analysis. Unlike traditional sequential scanners, the proposed approach utilizes parallel execution techniques to analyze multiple ports simultaneously. The architecture includes modules for user input handling, scanning engine management, multithreading coordination, result processing, and reporting. Experimental evaluation demonstrates improved scanning speed and reliability compared to conventional scanning approaches.

Published by: vikaspatanker

Authors: Mrs. P.V. Javkar, Mr. Damodhar N Bulbule, Mr. Arya D Tapkir, Mr. Kaivalya R Bhadange, Mr. Devraj A Yadav

Abstract: Social media platforms have become a major part of daily communication, marketing, entertainment, and information sharing. Among them, Instagram is one of the most widely used platforms across the world. However, the rapid growth of Instagram has also led to the creation of a large number of fake accounts. These fake accounts are often used for scams, impersonation, phishing, spam promotion, fake giveaways, misinformation, and fraudulent advertisements. Detecting such accounts has become an important research problem in the field of cybersecurity and social media analysis. Traditional fake account detection systems mainly focus on profile-related information such as follower count, following count, number of posts, account age, and user activity. Although these features are useful, they may fail to detect accounts that hide suspicious content inside images. Many fake Instagram accounts include scam messages, promotional offers, fake links, or misleading text inside profile images, stories, and post images. Such hidden text cannot be effectively analyzed using normal text-based techniques alone. This paper proposes a method for detecting fake Instagram accounts using Optical Character Recognition (OCR). OCR is used to extract text from profile pictures, post images, and other visual content associated with an Instagram account. After text extraction, suspicious keywords, spam patterns, links, and unusual promotional phrases are analyzed. These OCR-based features are combined with profile-level features such as follower-following ratio, posting behavior, account age, username structure, and bio information. Based on these features, the account is classified as genuine or fake. The proposed approach improves the detection of fake accounts by analyzing both textual and visual content. This makes the system more effective in identifying hidden spam techniques used by fake profiles. The paper also discusses methodology, algorithm steps, feature extraction, preprocessing, system architecture, results, limitations, and future scope.

DOI: https://doi.org/10.5281/zenodo.19328726

Published by: vikaspatanker

Authors: Miss Payal D. Bhute, Professor Monika Ingole, Professor Vijayata Dalwankar

Abstract: With the growing prevalence of mental health disorders across the globe, the application of Artificial Intelligence (AI) and Machine Learning (ML) has gained significant attention for early detection, prevention, and intervention. This study explores various AI-based models used for mental health self-assessment, including traditional machine learning techniques such as Support Vector Machines (SVM), Logistic Regression, and Random Forest, as well as advanced deep learning approaches. Furthermore, the paper reviews commonly used datasets and highlights the role of Natural Language Processing (NLP) tools in analyzing user-generated data for identifying mental health patterns. Ethical concerns such as data privacy, bias, and transparency are also discussed, along with the feasibility of deploying these solutions through web-based platforms. The objective of this study is to summarize recent advancements and identify existing research gaps, thereby supporting the development of scalable, accessible, and ethically responsible AI-driven mental health systems.

DOI: https://doi.org/10.5281/zenodo.19328659

Published by: vikaspatanker

Publishing research paper becomes valuable and not less than finding a treasure of success when published in a journal which carries a high impact factor. Scholars, professionals and students often look for the journal which can give them an early success with a creating a unique identity in the researcher’s community. Today, we will be having a conversation on importance of impact factor and top computer science journal impact factor.

Submit Your Paper  / Check Publication Charges 

Why Journal Impact Factor Is Important?

Journal impact factor is referred as journal ranking and its importance within the field. In science and technology it carries a strong influence, playing a great key role in the process of assessing individual researchers, and adding more value on their resumes which increases the chances of getting a quick reputed job.

As science, tech or engineering researches require a high concentration, with a deep research, clear and true writing which clearly explains the whole concept carries value including facts, formulas, also all important pros and cons. Some of the journals provide free reading access, with the help of these journals you can access more knowledge in the disciplines field of research, so that you can have an idea of journal paper writing as well.

Here Are Some Key Traits Given To Find The Top Computer Science Journal;

However some facts say that the best journals are those in which it is very difficult to have an article or research paper accepted easily as the journals focus on quality of the research work. The research should clear the basic standards of paper writing also the journal,

• Provide simple and easy to understand guidelines of paper submission
• Fee submission gateways, maintaining transparency
• High impact factor, giving more citations
• Double blinded and peer review process by subject experts
• Immediate publication capacity with fast initial review result
• ISSN and DOI approval depending on journal policies and paper quality as well
• Copyright form and e-certificate of publication to every individual author
• Free reading access of pre-published articles or researches as mentioned above

Submit your paper easily in a prestigious journal which publishes papers of high level and following high recognition attracting research writing.  Finding a journal is great but being aware of fake journals at the same time is important. After reading this article, you are fully known how to write paper and what to look in a computer science journal.

Write and get great opportunity to meet a community having daily discovered knowledge which helps to move you towards success path.

 

Published by: Neeraj Mishra

Publishing your research in an international journal is a major achievement. It not only increases your global visibility but also strengthens your academic and professional credibility. However, many researchers struggle to identify which international platforms are truly reliable and worth submitting to. Instead of focusing on names, it’s more important to understand what makes an international journal on top, get understand its features.

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What Defines a Top International Journal?

Not every international journal offers the same value. High-quality journals usually share certain characteristics that set them apart:

• Strict Peer Review Process –Your research is evaluated by experts before acceptance
• Global Indexing –Listed in internationally recognized databases
• High Impact Factor –Indicates strong citation and influence
• Professional Editorial Board –Managed by experienced researchers and scholars
• Ethical Publishing Standards –Clear policies for plagiarism and research integrity

These factors ensure that your work reaches a global and credible audience.

Types of International Journals

High-Impact Journals

These are well-established platforms with strong global recognition. They have strict acceptance criteria and focus on innovative, high-quality research.

Open Access Journals

These journals allow free access to research papers, increasing visibility and readership worldwide. Many researchers prefer them for faster reach.

Subject-Specific Journals

Focused on particular fields like engineering, medical science, management, computer science, humanities etc. These are ideal for specialized research topics.

Multidisciplinary Journals

They accept research from multiple domains, making them suitable for interdisciplinary studies and broader topics.

How to Identify a Genuine International Journal?

Before submitting your paper, check these given important points:

• Indexed in trusted databases, provides proper contact and editorial details
• Guide for research submission also fee payment maintaining transparency
• Has a transparent peer-review process with subject experts
• Displays clear author guides, charges and there should not be any hidden or extra charges.
• Give ISSN and DOI according to journal policy and paper quality with individual e-certificate after publication
• Widely known, high impact factor and more citation
• Maintains a consistent publishing history having capacity of fast publication

Get Published Your Paper In International Journals

• Choose a unique and research-worthy topic
• Follow proper structure and formatting
• Use clear and professional language
• Ensure your work is plagiarism-free

Patience is a key, as international publication often takes time, but do not compromise with paper quality and credibility. Publishing in an international journal is not about quick success but about quality, credibility, and global impact. By focusing on the right standards instead of just names, you can make smarter decisions and improve your chances of acceptance.

A well-published paper can open doors to new opportunities, collaborations, and recognition across the world.

Published by: Neeraj Mishra

Authors: Janaki Ramarao Kasa, Dr. Chitra Gupta

Abstract: Due to their straightforwardness in synthesis, controllable electronic properties, high coordination abilities, and extensive biological importance, Schiff base derivatives concentrate greater importance and expertise in the research of organic and medicinal chemistry. The present study article surveys literature up to January 2016 so as to examine the impact of trends in functionalization on the chemical behaviour and medical uses of Schiff base antecedents. The research design used in the study is structured secondary research with the 60 peer-reviewed references published up to the beginning of the year 2016. The coding of these articles was by year of publication, structural classification, functional group modification, the ability to form metal-complex, biological use, and profile of activity reported. This was to identify the dominant research themes, gauge the major research treatment and interpretive uses, and to determine whether structural functionalization and metal coordination accepted superior performance. It has been disclosed that since 2010 and 2015, there was an increase in the number of studies published on Schiff bases, along with the most widespread types of use in the field were antimicrobial, anticancer, antioxidant, enzyme inhibitory, and chemosensing purposes. Schiff bases based on heteroaryl, quinoline, quinazoline, isatin, triazole and coumarin were particularly noticeable. Metal-complexed Schiff bases were found to be more commonly linked with DNA interaction, cytotoxicity and redox-based activity whereas metal free versions were more common in antimicrobial and enzyme-inhibition studies. Electron-withdrawing groups, incorporation of heterocyclic rings and the use of donor atoms like nitrogen and oxygen were always used to enhance reactivity and biological potential. The paper concludes that functionalized Schiff base derivatives were widely used as molecular platforms with twist before 2016 in selecting synthetic organic chemistry and coordination chemistry and medicinal chemistry, and the development of multifunctional therapeutics, molecular probes and catalytic systems used after 2016 builds off their earlier development.

Published by: vikaspatanker

Authors: Dr. R. Indra, Ms . Akshaya

Abstract: With the rapid advancement of digital technology, mobile banking has become an important tool for financial inclusion, especially in rural areas. This study focuses on analysing the buying behaviour of rural people towards mobile banking services. It examines the level of awareness, usage patterns, factors influencing adoption, and challenges faced by rural consumers. The study highlights that convenience, time-saving, and ease of use are the major factors encouraging adoption, while issues such as poor network connectivity, lack of digital literacy, and security concerns act as barriers. The findings reveal that most rural users have a positive attitude towards mobile banking, but there is still a need for awareness and improvement in infrastructure. The study concludes that mobile banking has strong potential to enhance financial inclusion in rural areas.

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Published by: vikaspatanker