All articles
82 articles
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Advancing Early Detection of Menkes Disease Through Image Analysis and Biosensor Integration
Abstract: Menkes disease, a rare X-linked recessive disorder of copper metabolism, poses significant challenges in early diagnosis due to its nonspecific initial symptoms. This paper presents a comprehensive approach to enhance the early detection of Menkes disease by leveraging image processing techniques, pattern recognition algorithms, and innovative biosensor technologies. A novel framework is proposed that combines analysis of hair microscopy images, facial feature recognition, and copper-sensitive biosensors to create a multi-modal …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 24–34 Read article
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Smart Codes E-learning Website
Abstract: This paper introduces a sponsored e-learning website that can be used to learn educational stubs like web development and technologies required for artificial intelligence. The aim of this research is to create a user-friendly e-learning website for the sponsor. This website is designed to be well structured and easy to navigate. As technology is increasing in the web development as well as in artificial intelligence, they show a platform to …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 2, 2024 · pp. 15–21 Read article
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Resource Allocation Optimization in Cloud Services: Evaluating Task Scheduling and VM Placement Techniques
Abstract: Cloud computing has emerged as a promising computing paradigm to provide scalable quality of service, enabled services that are delivered over the internet. The infrastructure as a service model depends heavily on virtualization, which is the vital concept for centralized resource allocation in cloud computing. Resource allocation in cloud computing is basically performed through with the help of task scheduling as well virtual machine placement. Cloud service provider selects correct …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 2, 2024 · pp. 6–14 Read article
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Forecasting Trends in the Stock Market by Using Deep Learning Approaches
Abstract: Accurately predicting stock market trends remains a significant challenge in the field of finance. Deep learning, a subset of machine learning, has emerged as a powerful tool for capturing complex relationships within data. What sets deep learning apart is its ability to handle vast amounts of data, recognize intricate features, and adapt to evolving patterns, all while uncovering hidden insights. At its core, deep learning uses artificial neural networks that …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 2, 2024 · pp. 22–30 Read article
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Microservices vs. Monoliths: Choosing the Right Architecture for Your Project
Abstract: This comprehensive paper examines the critical differences between microservices and monolithic architectures, providing an in-depth comparison to guide software architects and developers in selecting the most appropriate approach for their projects. We conduct a thorough analysis of the strengths and weaknesses inherent in each architectural style, taking into account crucial factors such as scalability, maintainability, deployment complexity, and the structure of development teams. Through detailed case studies, performance metrics, and …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 2, 2024 · pp. 31–38 Read article
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Document Leak Prevention and Secure Printing Through Cloud Technology
Abstract: The project aims are to improve the security of print centers through the utilization of cloud technology. The implementation includes EC2 instances for serving as virtual computers, Elastic File Storage as dedicated to secure file storage, AWS Key Management System for key management ensuring security, Virtual Private Cloud for creating a private network, IAM users enabling controlled access, and Transport Layer Security facilitating secure communication .This approach prevents leaks and …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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The Implementation of Machine Learning in the Search to Fight Plant Disease
Abstract: The agriculture business loses money and time due to plant diseases. Diagnosing disease accurately takes skill and devotion. Infected plants may have spots or streaks of a different color on their leaves. Several fungal, bacterial, and viral species can also infect plants. Individual plant disease signs and indications are assessed. Neural network applications are growing. Recent research studies have determined how well machine learning reviews traditional plant disease diagnosis methods. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 1, 2024 · pp. 25–34 Read article
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A Study of Segmentation Techniques for Diagnosing Melanoma in Dermoscopic Images
Abstract: Skin cancer remains among the deadliest forms of cancer, with an average survival rate ranging from 18% to 20%. Detecting and segmenting melanoma early is a challenging yet crucial undertaking. To effectively segment the lesions, several studies have presented automated and standard techniques. Likewise, traditional methods for segmentation frequently require inputs from humans and cannot be applied in automated systems. The aim of this article is to provide a comparative …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 1, 2024 · pp. 1–10 Read article
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Facial Expressions Detection Using Machine Learning
Abstract: Facial expressions are necessary in human communication and understanding emotions. First and foremost, identifying emotions is a critical factor for many businesses to comprehend how their customers are responding to the things they have introduced. It can also be utilized to find out if the amenities provided to their staff are meeting their needs. Additionally, it has a plethora of other applications, such as utilizing a camera to identify someone's …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 1, 2024 · pp. 11–16 Read article
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Hybrid Methodology for Compression of Remote Sensing Imagery Using Huffman and Run-length Coding
Abstract: The remote sensing imagery generated by the onboard sensors of various satellites are contained in several wavelength bands. These bands constitute high resolution that occupy a lot of storage space and memory. Moreover, the downlink transmission to the ground station for these images requires high bandwidth. Therefore, the high-resolution satellite imagery needs to be compressed so that more number of images can be transmitted without any significant loss of information …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 1, 2024 · pp. 17–24 Read article
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Virtual Reality in Education: A Catalyst for Revolutionizing Learning Experiences
Abstract: The convergence of virtual reality (VR) and education offers a thrilling frontier with the capacity to revolutionize the way learning experiences are shaped. This work delves into the intricate fusion of VR and education, scrutinizing its transformative potential. With a specific focus on enhancing learning experiences, the paper explores the multifaceted applications of VR in educational settings. The investigation aims to unveil the impact of VR on cognitive engagement, knowledge …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 1, 2024 · pp. 35–39 Read article
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Identifying Fake News Using Big Data
Abstract: In today's world, where digital information spreads swiftly, the rise of fake news poses a threat to society. This research paper presents a method to address this issue by employing data analytics. To address the issues of misinformation, public manipulation, and threats to democracy we propose a framework. Our strategy incorporates advanced methodologies, including natural language processing, machine learning, and network analysis. Using these techniques, we examine various data sources …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 1, 2024 · pp. 7–14 Read article
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Development of a Blockchain Technology Framework for Agri-food Supply Chain Management
Abstract: Supply chain management involves effectively managing the movement of goods and services all the way from their origin as raw materials to their delivery to the final consumer. It involves all the steps involved in transforming, transporting, and delivering products to meet customer demand. In agri-food supply chain management, producers, distributors, and consumers are demanding greater transparency in the food sector due to a rise in agricultural mislabeling and negligent …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 1, 2024 · pp. 22–28 Read article
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Enhancing Business Efficiency with SAAS Solutions for Person Tracking and Inter Communication
Abstract: This abstract explores the versatile applications of software as a service (SAAS) products across several key business domains, including person tracking, communication (chatting), order and billing systems, customer management, and outstanding management. SAAS solutions have revolutionized person tracking by providing comprehensive tools for monitoring and managing personnel activities in real time, from attendance tracking to performance evaluation, thereby fostering a productive and accountable workforce. Similarly, SAAS-based communication platforms have transformed …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 1, 2024 · pp. 15–21 Read article
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Implementation of Dropshipping Using Blockchain
Abstract: This research introduces a novel approach to dropshipping via integration of blockchain technology and smart contracts. Dropshipping is a business model where retailers avoid stocking products by directly fulfilling orders from wholesalers, and face challenges related to inventory management, understocking, overstocking, and financial risks attached. This also focuses on issues related to tampering of data and mishandling of products during the exit transits. Our study addresses these challenges by leveraging …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 1, 2024 · pp. 29–34 Read article
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Intrusion Detection System Using Gated Recurrent Neural Network
Abstract: In the realm of cybersecurity, the constant evolution of threats demands sophisticated intrusion detection systems (IDSs) capable of discerning intricate patterns in network traffic. This study proposes an IDS leveraging the capabilities of gated recurrent neural networks (GRNNs) to enhance the detection of anomalies and potential security breaches. The GRNN architecture, employing mechanisms like long short-term memory (LSTM) and gated recurrent unit (GRU), demonstrates efficacy in capturing long-range dependencies within …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 1, 2024 · pp. 1–8 Read article
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Intelligence Video Surveillance Using Deep Learning
Abstract: Intelligent video surveillance powered by deep learning represents a transformative paradigm in security and surveillance. This new approach uses the power of complex neural networks to revolutionize the analysis and management of video data. Through the seamless incorporation of deep learning technologies like convolutional neural networks (CNN) and recurrent neural networks (RNN) into observation systems, automated identification, tracking, and classification of objects can be accomplished, alleviating storage constraints on the …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 1, 2024 · pp. 9–20 Read article
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Certificate Issuing and Verification Application Using Blockchain
Abstract: With roughly a million students graduating each year, both those seeking further education and those entering the workforce rely on verifiable certificates. However, traditional paper certificates are vulnerable to counterfeiting, leading to frequent forgeries. To address this concern, this paper proposes a secure and reliable system utilizing blockchain technology for issuing digital certificates. This system creates tamper-proof digital certificates by calculating unique hash values for each electronic certificate and storing …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 1, 2024 · pp. 21–28 Read article
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Transforming Healthcare Through Cloud Computing
Abstract: The dynamic evolution and progression of cloud computing technology have ushered in a paradigm shift within the healthcare sector, ushering in a multitude of advantages and reshaping the landscape of healthcare service delivery. Cloud computing stands out as a pivotal facilitator for healthcare entities, furnishing them with the flexibility, scalability, and cost-effectiveness required to navigate the ever-expanding demands of contemporary healthcare. Cloud computing in healthcare reduces the necessity for substantial …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 1, 2024 · pp. 34–43 Read article
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The Life-changing Impact of Mental Health Trackers
Abstract: This study explores the revolutionary potential of mental health trackers, which are cutting-edge digital technologies that have become essential in tackling the many issues surrounding psychological well-being in modern times. This study article delves into the various typologies and technological breakthroughs of mental health trackers, emphasizing their ability to empower people from all walks of life to actively monitor and nurture their mental health. The research results emphasize how mental …
Published in International Journal of Software Computing and Testing · Vol. 10, Issue 1, 2024 · pp. 29–33 Read article