All articles
346 articles
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A Study on Raspberry Pi Method for Examining Personal Cloud Storage
Abstract: The guide explains ways to set up a personal cloud storage using a Raspberry Pi rather than using storage facilities from other companies like Dropbox, Google Drive, iCloud, and so on. In this dynamic environment and ever-changing technologies, security of our data is utmost important as well as the storage we need to store data and have control over our data. We focus on the matters mentioned above. The fact …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 1, 2023 · pp. 26–35 Read article
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System for Predicting and Recommending Placement on Campus
Abstract: The campus placement system uses classification algorithms like decision trees, random forests, support vector classifiers, and logistic regression to estimate the likelihood that an undergraduate student will be hired by a business. The placement prediction method assists in identifying students’ needs and the areas in which they fall short, allowing students to strengthen their profiles and increase their chances of being placed. The placement predictor uses a number of parameters …
Published in International Journal of Distributed Computing and Technology · Vol. 9, Issue 1, 2023 · pp. 18–25 Read article
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Unlocking the Potential: Machine Learning Driven Explainable AI Applications Across Diverse Domains
Abstract: Explainable artificial intelligence (XAI) aims to make discoveries and output generated by machine learning algorithms accessible to human users in a trustworthy and easy-to-understand manner. It describes the impact of an AI model and any potential biases, helping in characterizing models with accuracy, fairness, transparency, and outcomes in decision-making powered by AI. XAI focuses on understanding the data used to train the model, its predictions, the specific elements involved in …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 24–32 Read article
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Detection of Phishing Sites Using Machine Learning
Abstract: The content of phishing websites and online-based material provides a variety of indicators. One of the criminal attacks that are successful in the online world is phishing sites that direct users to a phishing website that looks and acts like a legitimate website in order to steal the victim's personal and sensitive information. The Extreme Learning Machine-based version that was suggested was excellent at spotting phishing websites. Internet page types …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 33–39 Read article
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Fake News and Hate Speech Detection Using Deep Learning
Abstract: Due to the potential for such content to hurt both people and society as a whole, the issue of identifying fake news and hate speech on internet platforms has grown in importance in recent years. This problem has shown great potential for resolution through deep learning, a specific area of machine learning. In this research work, we examine recent studies on the application of deep learning methods for the identification …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 15–23 Read article
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Crop Disease Classification and Detection Using Deep Learning Approach
Abstract: Early diagnosis of plant diseases is essential because they have an effect on the evolution of their unique species. For the identification and classification of plant diseases, a variety of Machine Learning (ML) models have been employed, but with the advent of Deep Learning (DL), a subset of ML, this area of research now seems to offer substantial potential for increased accuracy. The 4th most common staple food consumed worldwide …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 22–27 Read article
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Criminal Face Identification Using Deep Learning and Machine Learning
Abstract: Criminal face identification is a crucial task for law enforcement agencies to prevent and solve crimes. The traditional methods for identifying criminals using human expertise and eyewitness testimonies have several limitations, such as subjectivity, inaccuracy, and unreliability. Machine learning and deep learning techniques have yielded promising gains in facial recognition and identification applications in recent years. In this study, we propose a criminal face identification system that combines machine learning …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 28–34 Read article
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Fuzzy and Intuitionistic Fuzzy Operators with Applications in Breast Tumor Classification
Abstract: Breast Cancer accounting for 14% of all cancers in women is the most familiar cancer among women in India. According to GLOBOCON data 2018, 1,62,468 new cases and 87,090 demises were accounted for breast cancer in India. The incidence rate of breast cancer starts rising in the early 30s and reaches a peak at the age of 50–64 years. In general, 1 in 28 women will develop breast cancer at …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 35–46 Read article
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Using Image Feature Selection through Deep Salient Region Detection Using Canny Edge Detection Framework
Abstract: Salient object identification has received a lot of attention recently in computer vision because it offers quick solutions to several challenging procedures. It first identifies the scene's most prominent and attention-grabbing object, after which it segments the object's entire extent. The perception and processing of visual input is linked to visual saliency. This proposed work focuses on several convectional saliency detection methods that are useful in a variety of applications …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 8–21 Read article
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Analysis of Road Lane Detection Using Computer Vision
Abstract: Today’s technological advancement brings an opportunity to automate all the essential processes. Driving is one of the challenging tasks. The rapid growth of image processing technologies allows us to achieve an automatic driving system without human intervention. Numerous researchers are working on the development of algorithms for the automation of road lane detection during the self-driving car. This study presents an algorithm which can detect road lanes and the upcoming …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 7–14 Read article
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NLP in Sign Language Recognition Boon for Dumb People
Abstract: In order to help and provide facility to the persons who have vocal and hearing problems to communicate, this study provides a design innovative system. It discusses an improving technique for speech-to-sign translation and sign language recognition. The created method uses skin colour segmentation to extract indications from video sequences with a dynamic and minimally crowded background. It separates out the relevant feature vectors from dynamic movements and gives room …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 9, Issue 1, 2023 · pp. 1–7 Read article
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Health Management System Using Researched Application of Big Data
Abstract: As everyone knows many developing as well as developed countries even poor countries healthcare demand is growing at an extensive rate. As like all other countries, healthcare in India is also facing the growing demand of medical treatment and services; as demand of healthcare and medical treatments increases, parallelly the volume of medical records increases; they must appropriately have all of the patient’s medical history. Management has to maintain proper …
Published in International Journal of Software Computing and Testing · Vol. 9, Issue 1, 2023 · pp. 1–6 Read article
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Detection of Hate Speech on Social Media Using Machine Learning
Abstract: As we know, social media platforms are the fastest method of communication because information is transmitted and received virtually instantaneously. Social media platforms' development radically altered how people communicate in our world, and one effect of these changes is a rise in inappropriate behaviors, like the use of derogatory language online. It might be challenging to express harsh or disrespectful ideas to someone right in the face. People believe it …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 2, 2022 · pp. 1–6 Read article
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Breakout Room Escape: Design and Development of an Immersive Unity Game
Abstract: Three-dimensional (3D) game development is a complex and challenging process that requires expertise in various fields, including programming, art, and design. Due to its adaptability, userfriendly interface, and thorough documentation, Unity is a well-known game engine that is frequently used in the game development industry. This research paper aims to explore the process of developing a 3D game using Unity, focusing on the technical aspects of game development and the …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 2, 2022 · pp. 20–30 Read article
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Agile Hybrid Education System: Adaptable, Innovative, and Effective
Abstract: The proposed hybrid learning management system (LMS) aims to provide an automated system for the manual processes by utilizing computerized equipment and software, which can effectively store and manage valuable data for an extended period of time, with easy accessibility and manipulation. This system can ensure error-free, secure, reliable, and fast management, allowing users to focus on other activities instead of record-keeping. As a result, businesses are able to maintain …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 2, 2022 · pp. 13–19 Read article
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Progresses in Network Safety Worldview: A Survey
Abstract: This survey paper examines the different cautious models and mechanisms utilized so far in network safety. Digital protection is an exceptionally delicate issue, where advances are coordinated step by step. To effectively manage sophisticated attackers, it is necessary to cultivate strengths in the form of a cautious approach to the rapidly evolving landscape of malware and other attack methods. Specifically, digitization and data framework started a fight for strength on …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 2, 2022 · pp. 31–38 Read article
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System Infringement Challenges in Smart Cities
Abstract: We can increase the urban service use, improve sustainability and minimize environmental harm so that the idea of green infrastructure aims to improve the living standard of the citizens. Cybersecurity is the key issue facing smart cities. To store, process and transmit data we can use data protection, as well as the software infrastructure, all topics covered by cybersecurity. Internet of things (IoT) and internet of everything (IoE) are used …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 2, 2022 · pp. 7–12 Read article
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Foreign Material Detection for Scallion Processing Industry Using HSV Color Space
Abstract: In this paper, an optical foreign substance detection system is designed to address the problem of foreign substances mixed in food. The five color spaces of RGB, HSV, YCrCb, CIELab, and CIELuv are compared by using scallion images and non-scallion images to seek the color space that is the most suitable for the scallion processing. The designed image algorithms are given to filter out food raw materials and background images. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 33–50 Read article
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Image Processing Invisibility Cloak: A Review
Abstract: We have seen invisible people in stories, but in the world, it is still not proven that invisibility exists. This review explains the invisibility of anything with the help of various technologies. On many commonplace commercial objects, you can find difficult patterns and backdrops. Such textual data may be presented in a variety of scales, fonts, colours, and orientations. The very basic operations are performed to process the frames, which …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 51–57 Read article
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Facial Expression Recognition by Using Multifeatured Fusion And Deep Learning Techniques
Abstract: In our daily lives, sentiment analysis is a vital part of communication. A vital component is information regarding how the user feels when someone communicates. You will need a solution that can handle everything from recognizing a user's emotional state to personalizing the user experience. This study's objective is to look into emotions. Today, deep learning techniques are quickly advancing in a variety of fields, including computer vision. Without a …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 8, Issue 2, 2022 · pp. 16–22 Read article