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1128 articles for “Models”
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Serverless Computing: The Evolution of Cloud Infrastructure
Abstract: A form of cloud computing known as serverless computing has brought about a change in the way cloud development and deployment are carried out. An era that is now known as “post-container” has been brought about because of a new idea that has developed from cloud computing. Software developers can devote their attention to building code and business logic rather than managing infrastructure when they use serverless computing. Serverless computing …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 2, 2024 · pp. 48–60 Read article
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A Hybrid Approach to Secure Cloud Storage: Machine Learning and Blockchain Integration
Abstract: With the rapid adoption of cloud computing across industries, securing cloud storage has become a paramount concern for organizations that rely on cloud-based systems to manage sensitive data. Traditional security approaches often struggle with the complex and evolving nature of cyber threats, leading to vulnerabilities that malicious actors can exploit. In response to these challenges, this paper proposes a hybrid approach that integrates machine learning and blockchain technologies to create …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 2, 2024 · pp. 35–47 Read article
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Kashi Vishvanatha Kshetra in Historic Context, a Narrative landscape in Varanasi, India
Abstract: Abstract This essay describes how the Kashi Visvanatha temple and its holy grounds have changed since they were first mentioned in the sixth century BCE. The patron deity of Varanasi, Vishvanatha, also known as Vishveshvara, is a manifestation of Shiva, who is considered the Lord of the World (also called Kashi/Banaras). The temple faced destruction, demolition, reconstruction, contestation, and recent resurrection in its history spanning more than a millennium. In …
Published in International Journal of Architectural Heritage · Vol. 7, Issue 2, 2024 · pp. 1–18 Read article
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Ethereum Price Prediction Using Extra Trees and Random Forest Regressors
Abstract: The Ethereum market is famous for its unpredictability and the possibility of significant profits, presenting both opportunities and obstacles for investors and stakeholders. Given the dynamic nature of this ecosystem, accurate prediction of Ethereum’s price movements is essential for informed decision-making. In this project, we propose an innovative approach that leverages ensemble learning techniques, specifically extra trees and random forest regressors, for Ethereum price prediction. By harnessing a diverse dataset …
Published in International Journal of Distributed Computing and Technology · Vol. 10, Issue 2, 2024 · pp. 9–25 Read article
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The Study of Magnetic Properties and Applications of II–VI Diluted Magnetic Semiconductor, Zn1–xMnxO Nanoparticles
Abstract: Ferromagnetism in II-VI diluted magnetic semiconductor, Zn1-xMnxO is studied. The magnetic behavior of this Diluted Magnetic Semiconductor (DMS) is determined by using the Heisenberg and the Green’s formalism. Heisenberg’s Model describes the Hamiltonian of the system in terms of spin density and excitons. In the same way, Green’s theorem is used for calculating magnetic quantities. These theorems are employed to estimate the origin of ferromagnetism in Zn1-xMnxO nanostructures. For spin- …
Published in International Journal of Applied Nanotechnology · Vol. 10, Issue 2, 2024 · pp. 47–55 Read article
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BAYESIAN ANALYSIS OF BIRD OVOMUCOID: INFERRING EVOLUTIONARY DYNAMICS AND PHYLOGENETIC RELATIONSHIPS.
Abstract: Objective: Ovomucoid is a serine protease inhibitor discovered in bird eggs that not only protects embryos but also has phylogenetic significance due to its potential usage as a molecular marker. They are glycoproteins that have antibacterial efficacy because they inhibit bacterial proteolytic enzymes that are essential for microbiological development. This study makes use of DNA sequence data to rebuild evolutionary connections among bird species. Methods: Over the past decade, the …
Published in International Journal of Animal Biotechnology and Applications · Vol. 10, Issue 1, 2024 · pp. 1–10 Read article
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BAYESIAN ANALYSIS OF BIRD OVOMUCOID: INFERRINGEVOLUTIONARY DYNAMICS AND PHYLOGENETIC RELATIONSHIPS.
Abstract: Objective: Ovomucoid is a serine protease inhibitor discovered in bird eggs that not only protects embryo but also has phylogenetic significance due to its potential usage as a molecular marker. They are glycoproteins that have antibacterial efficacy because they inhibit bacterial proteolytic enzymes that are essential for microbiological development. This study makes use of DNA sequence data to rebuild evolutionary connections among bird species.Methods: Over the past decade, the incorporation …
Published in International Journal of Animal Biotechnology and Applications · Vol. 10, Issue 1, 2024 Read article
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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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Image Caption Generator Implementation
Abstract: Image caption generation is a software technology that takes an image as an input and produces a descriptive caption in text form. In the modern era, this technology finds application in various fields. For instance, automatically generating captions for medical images aids in diagnosis and enhances reporting efficiency, helping healthcare professionals to quickly interpret complex visuals. In the realm of autonomous vehicles, image captioning enables these vehicles to understand and …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 10, Issue 2, 2024 · pp. 18–23 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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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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Network Intrusion Detection Using Wireshark and Machine Learning
Abstract: The growth of networked devices has highlighted the desire for advanced intrusion detection (IDS) tools to protect digital systems from evolving cyber threats. Traditional IDS systems are often difficult to adapt to the threat environment because they rely on predefined signature lists. This study presents a new approach that combines Wireshark, a widely used network packet analysis tool, with advanced machine learning for intrusion detection. Our system leverages Wireshark's data …
Published in International Journal of Telecommunications & Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 23–31 Read article
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Assessment of Depth of Girder of Railway Bridge
Abstract: The depth of a railway bridge girder is primarily determined by the span of the girder. The load exertedon the girder by passing trains induces a bending tendency, which is counteracted by the girder'sthickness or depth. This structural depth is crucial in neutralizing the bending moments and ensuringthe stability and safety of the bridge. Furthermore, the calculated depth or thickness of the girder mustbe validated against permissible deflection limits to …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 10, Issue 1, 2024 · pp. 1–7 Read article
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Utilizing Remote Sensing and GIS for Water Quality Monitoring
Abstract: The integration of remote sensing and Geographic Information Systems (GIS) offers a sophisticated approach for monitoring and safeguarding water quality. This review examines how remote sensing technologies and GIS can be combined to observe key water quality indicators, such as turbidity, chlorophyll levels, and surface temperature. Remote sensing provides comprehensive, real-time data, which, when analyzed using GIS, enables detailed spatial examination and visualization of water quality patterns. This synergy enhances …
Published in International Journal of Water Resources Engineering · Vol. 10, Issue 1, 2024 · pp. 45–51 Read article
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AI-Based Fraud Detection in Financial Transactions
Abstract: Financial fraud continues to pose a severe danger to individuals, businesses, and the global economy, necessitating the development of effective and innovative detection and prevention approaches. This research study examines the use of artificial intelligence (AI) techniques to detect fraudulent conduct in financial transactions. This paper investigates the advancements, challenges, and courses of AI-based fraud detection in financial transactions through a thorough examination of the research, case studies, and practical …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 10, Issue 1, 2024 · pp. 1–9 Read article
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Seismic Analysis and Design of an RCC Twisted Building Using with ETAB
Abstract: This paper investigates the structural behavior of reinforced concrete (RCC)-twisted buildingssubjected to seismic loads using ETABS software. The study focuses on analyzing various degrees oftwist in RCC-twisted buildings, specifically examining the angles of 1.5, 2, 2.5, 3, and 3.5 degrees perfloor. The study looks at how these different twist rates affect important structural parameters like baseshear, story displacement, and story drift through detailed modeling and analysis in ETABS. Theobjective of …
Published in International Journal of Structural Engineering and Analysis · Vol. 10, Issue 1, 2024 · pp. 47–59 Read article
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Comparative Structural Analysis of I-Girder and Box-Girder Designs in Flyover Bridges
Abstract: Bridge structures are vital for improving transportation in urban and suburban areas by offering routesthat reduce traffic congestion. As urbanization accelerates in many metropolitan cities across India,the necessity for such infrastructure becomes increasingly important. This research aims to explore thestructural behavior of flyover bridges, specifically focusing on 30-meter I-girder and 30-meter boxgirder bridge segments under various loading conditions, in compliance with Indian Road Congress(IRC) standards. The bridge girders are modeled …
Published in International Journal of Structural Engineering and Analysis · Vol. 10, Issue 1, 2024 · pp. 1–14 Read article
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Facial Recognition in Education: Revolutionizing Attendance Tracking for Enhanced Efficiency and Security
Abstract: The goal of this project is to develop a facial recognition-based attendance system for educational institutions to improve and modernize the current system and make it more effective and efficient than it was in the past. The distinctive features of the human face allow for individual identification. Since there is little chance of a face deviating or being duplicated, it is utilized to trace identification. The article also covers the …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 1, 2024 · pp. 1–6 Read article
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Estimation of Crop Yield Prediction Using Machine Learning Technique.
Abstract: Agriculture serves as the primary source of livelihood for a significant portion of India's population, but it faces a myriad of challenges, including climate variability, soil fertility issues, and reliance on traditional farming practices. To address these challenges, researchers are increasingly turning to machine learning (ML) methodologies to predict crop yields more accurately. Studies have delved into the effectiveness of various ML algorithms such as Random Forest, Gaussian Process Regression, …
Published in International Journal of Agrochemistry · Vol. 10, Issue 1, 2024 · pp. 7–12 Read article
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Recent Advances in Fused Heterocyclic Pyridine Compounds for Bioactive Anti-Inflammatory Drug Discovery
Abstract: Heterocyclic compounds, particularly those fused with pyridine rings, have emerged as promising candidates in the search for novel bioactive agents with anti-inflammatory properties. This review highlights recent advances in the discovery and development of fused heterocyclic pyridine compounds as potential anti-inflammatory drugs. The unique structural properties of fused heterocycles contribute to their ability to modulate key inflammatory pathways. By targeting specific molecular targets involved in inflammation, such as cytokines, enzymes, …
Published in International Journal of Chemical Separation Technology · Vol. 10, Issue 1, 2024 · pp. 1–7 Read article