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348 articles for “A algorithm.”
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Data Compression in Backbone Network
Abstract: In the realm of modern computing and extensive data transmission, the efficient management of network resources is paramount. This paper introduces a novel approach, a data compression system meticulously designed backbone network. The proposed system aims to streamline data compression, significantly curbing network b and width demands, and thereby enhancing network performance. Tailored to the unique requisites and limitations of backbone network environments, the solution optimally balances compression ratios and …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 2, 2024 · pp. 1–6 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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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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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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Solar Tree
Abstract: A solar tree is an artistic and functional installation that takes inspiration from the natural form of a tree, utilizing solar panels arranged as leaves to capture sunlight and convert it into electrical energy. These eco-friendly structures are often found in space-constrained urban settings, where they not only generate power but also provide shade and serve as visual symbols of green energy. Solar trees are composed of several key parts: …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 10, Issue 1, 2024 · pp. 10–17 Read article
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Design and Optimization of Heterogeneous Catalysts for Green Chemistry Processes
Abstract: The design and optimization of heterogeneous catalysts are critical for advancing green chemistry processes, aiming to minimize environmental impact while maximizing efficiency. This study explores innovative strategies for the development of heterogeneous catalysts that facilitate environmentally benign reactions. By integrating principles of catalyst design, surface science, and reaction engineering, we aim to enhance catalytic performance, selectivity, and stability. Catalyst composition and structure, investigating novel materials, including metal-organic frameworks (MOFs), zeolites, …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 10, Issue 1, 2025 · pp. 42–48 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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Tools and Concepts for Building A Collaborative Project Discovery and Development Platform: A Literature Review
Abstract: Collaborative project platforms have become indispensable in modern project management, especially with the rise of remote work, accentuated by the COVID-19 pandemic. This literature review synthesizes recent studies to explore the dynamics of collaborative project platforms, focusing on tool choices, usage patterns, and challenges. Organizations need to be ready to take on the obstacles that come with implementing projects. This study collects information on the objectives and issues faced by …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 1, 2024 · pp. 13–18 Read article
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Enhanced Healthcare Voice Assistant: Integrating Sentimental Support and Medical Assistance for Improved Patient Engagement (QUANTUM WELL F7)
Abstract: Healthcare systems are increasingly leveraging voice assistant technology to provide convenient and accessible medical assistance to patients. In this paper, we propose an enhanced healthcare voice assistant that integrates sentimental support capabilities with medical assistance features. The voice assistant employs advanced natural language processing (NLP) algorithms to analyze user sentiments and provide empathetic responses, while also offering personalized medical advice and assistance. We evaluate the effectiveness of the proposed system …
Published in International Journal of Analog Integrated Circuits · Vol. 14, Issue 1, 2024 · pp. 36–43 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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Utilizing AI in Civil Engineering for the Construction of Green Buildings
Abstract: Artificial Intelligence (AI) is a discipline in computer science dedicated to creating and applying intelligent machines. This includes exploring recent innovations and methodologies for implementing AI in civil engineering and providing an overview of advancements in the field. The significant progress in big data, deep learning, and machine learning technologies has been successfully applied across various civil engineering sectors. Key areas of AI research in civil engineering encompass structural management, …
Published in International Journal of Construction Engineering and Planning · Vol. 10, Issue 1, 2024 · pp. 31–38 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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Multidisciplinary approach in researching Artificial Intelligence, Nanotechnology and Biotechnology.
Abstract: Nature is a creation in wholesome which a normal human being cannot understand in entirety. Hence, compartmentalization is done in subjects for the study of the nature e.g., physics,chemistry, biology etc. Hence most of the research is in bits and pieces by the experts in limited fields where lot of linking of other fields is left out. For example if we have to study a field whereAI, Nanotechnology and biology …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 10, Issue 1, 2024 Read article
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Biosensors Powered by Nanotechnology forContinuous Insulin Delivery and GlucoseMonitoring in Diabetes Management
Abstract: Diabetes mellitus is a chronic metabolic disorder that necessitates continuous glucose monitoring and precise insulin delivery for effective management. Traditional methods often fall short in maintaining the necessary levels of accuracy and convenience, thereby posing challenges in achieving optimal glycemic control. Nanotechnology-enabled biosensors have revolutionized this field by leveraging the unique properties of nanomaterials, offering significant improvements in sensitivity, selectivity, and biocompatibility. This article delves deeply into the transformative role …
Published in International Journal of Applied Nanotechnology · Vol. 10, Issue 1, 2024 · pp. 13–24 Read article
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Industrial IoT Based Health Monitoring System of Motor and Transformer
Abstract: This research presents an Industrial IoT-based health monitoring system tailored for motor and transformer components in industrial environments. Integrating advanced sensors, microcontrollers, and MQTT communication, the system enables real-time monitoring and predictive maintenance. Accurate measurement of critical parameters, coupled with effective anomaly detection algorithms, empowers operators to pre-emptively address potential equipment failures. The system's reliability and effectiveness in optimizing equipment reliability and minimizing downtime offer a promising solution for industrial …
Published in International Journal of Mechanics and Design · Vol. 10, Issue 1, 2024 · pp. 13–19 Read article
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Automated Diagnosis and Drug Delivery System for Colon Cancer Using Biosensors and Nanostructures
Abstract: Colorectal cancer stands as a significant global health challenge, necessitating innovative approaches for early detection and effective treatment. This paper presents a novel framework for addressing this challenge by integrating biosensors with nano materials and nano structures to create an automated system for colon cancer diagnosis and treatment. The proposed system leverages the unique properties of biosensors for real-time disease detection and the advanced capabilities of nano materials and nano …
Published in International Journal of Nanomaterials and Nanostructures · Vol. 10, Issue 1, 2024 · pp. 10–23 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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IOT-enabled Anti-poaching System for Protecting Wildlife and Forests Through Advanced Monitoring and Alert Mechanisms
Abstract: Forests are essential for preserving the intricate ecological harmony of our planet, serving as critical habitats for numerous animal species. Unfortunately, this equilibrium is increasingly jeopardized not only by illegal logging but also by the scourge of animal poaching the global demand for exotic animal parts and products fuels poaching, which presents a major menace to wildlife populations across the globe. The repercussions of poaching extend far beyond individual animals. …
Published in International Journal of Animal Biotechnology and Applications · Vol. 10, Issue 1, 2024 · pp. 36–44 Read article
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Biomimicry and Parametrism
Abstract: Abstract: The research paper explores the concepts of biomimicry and parametricism and how they relate to architectural design. While parametricism is a design process that uses computational algorithms to produce complex and adaptive architectural forms, biomimicry is an interdisciplinary approach that draws inspiration from nature's answers to design difficulties. This paper explores the fusion of these two ideas to produce novel and sustainable architecture designs. The study provides an overview …
Published in International Journal of Sustainable Building Technology · Vol. 7, Issue 1, 2024 Read article
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Image Enhancement and Lung Cancer Detection Using Anisotropic Diffusion Filter
Abstract: The leading cause of cancer-related deaths globally is lung cancer. According to the Global Cancer Statistics lung cancer is the leading cause of cancer-related fatalities with 1.8 million deaths and 2.1 million new cases. Early detection of a tiny tumor can stop cancer from spreading and greatly enhance prognosis and survival rates. Consequently, the creation of a sophisticated computer-aided diagnosis system (CADS) may be advantageous for the early therapy of …
Published in International Journal of Analytical and Applied Chemistry · Vol. 9, Issue 1, 2023 · pp. 21–29 Read article