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492 articles for “Machining”
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Flood Susceptibility Modeling Using Logistic Regression in QGIS Environment
Abstract: Abstract Flood is the most common natural disaster of Sri Lanka. Sri Lanka is suffering from extensive flood events more frequently than previously due to climatic changes. Due to rapid urbanization, there are limited land resources to live in Kalutara district which is not prone to flood events. This research aims to model the flood susceptibility in Kalutara district Sri Lanka which is having frequent flood events using Logistic Regression …
Published in International Journal of Water Resources Engineering · Vol. 11, Issue 1, 2025 · pp. 1–11 Read article
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Review and Analysis of Fault Detection in Self-Healing Hardware System
Abstract: Self-healing hardware systems represent a transformative advancement in fault tolerance, enabling devices to autonomously detect, diagnose, and recover from malfunctions to ensure continuous and reliable operation. This paper explores the critical role of fault detection techniques in self-healing systems, focusing on methods such as built-in self-test (BIST), redundancy, and machine learning-based approaches. These techniques facilitate proactive and real-time fault resolution, addressing the limitations of traditional reactive strategies. The study highlights …
Published in International Journal of Analog Integrated Circuits · Vol. 11, Issue 1, 2025 · pp. 11–15 Read article
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Smart Agriculture Using IoT: A Paradigm Shift in Modern Farming
Abstract: The rapid advancements on the Internet of Things (IoT) have revolutionized agriculture by integrating sensors, automation, and data analytics to enhance productivity, resource efficiency, and sustainability. With growing challenges such as climate change, population growth, and the need for efficient resource management, IoT-driven smart agriculture presents a transformative approach to modern farming. By leveraging IoT-enabled devices, farmers can gain real-time insights into soil conditions, weather patterns, crop health, and resource …
Published in International Journal of Digital Communication and Analog Signals · Vol. 11, Issue 1, 2025 · pp. 33–37 Read article
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Enhancing Glaucoma Detection with Convolutional Neural Networks: A Data-Driven Approach
Abstract: One of the main causes of irreversible blindness is glaucoma, which is characterized by certain alterations in the optic nerve that over time can impair vision. Manual evaluations, while invaluable, are challenged by inconsistencies, subjectivity, and the extensive time required. The study employed a dataset comprising retinal images annotated by experts. By using Convolutional Neural Networks (CNNs) to study and recognize important patterns in eye images, it was possible to …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 11, Issue 1, 2025 · pp. 1–6 Read article
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A Comprehensive Review of Smart Parking Systems: Technologies, Challenges, and Future Directions
Abstract: Abstract Smart Parking Systems (SPS) are gaining significant attention as a critical solution to address the growing concerns of urban congestion, inefficient use of parking spaces, and environmental sustainability. This paper presents a comprehensive review of SPS, focusing on the key technologies, challenges, and future directions. We explore the integration of advanced technologies, such as the Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML), and sensor networks in …
Published in International Journal of Manufacturing and Materials Processing · Vol. 11, Issue 1, 2025 · pp. 1–13 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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Employing ML and DL to Optimize an ElectrochemicalBiosensor
Abstract: A major field of study in science, that have made the understanding of the world and made homo sapiensthe dominant species on the planet is our understanding of medicine. Under this vast umbrella is thedetection and classification of microorganisms. Electrochemical biosensors have emerged aspromising tools in this regard due to their high sensitivity, selectivity, and potential for miniaturization.By integrating a Machine Learning & Deep Learning model for the detection of …
Published in International Journal of Chemical Separation Technology · Vol. 10, Issue 1, 2024 · pp. 33–38 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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Classification of Brain Tumor with Statistical Analysis of Texture Parameter Using a Data Mining Technique
Abstract: The objective of this research is to investigate the abnormal images of brain having diseases of brain tumors using machine learning tool and to measure their texture which involves shape, intensity and texture parameter of brain. All of these images were run by the machine learning tool and compared these results with the normal image of brain. If there was abnormality located in the data, it was noted and further …
Published in International Journal of Industrial Biotechnology and Biomaterials · Vol. 4, Issue 2, 2018 · pp. 22–36 Read article
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Life Below Water: Addressing Ocean Sustain Ability Using IT
Abstract: Modern world meets lots of disputes that include Ocean sustainability. It is become matter of big worry if oceans are not taken seriously. Ocean administration faces the challenge of sustaining a balance between marine resource use and conservation while dealing with pressing threats resulting from climate change such as sea level rise, fisheries food security, IUU fishing and ocean acidification. In this paper we have reviewed, an waste and oil …
Published in International Journal of Analytical and Applied Chemistry · Vol. 8, Issue 1, 2022 · pp. 52–57 Read article
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Strain-based Fatigue Test of Woven Glass-Epoxy Fabric Composites
Abstract: Strain based fatigue testing of Glass-Epoxy Composite Material in Tension-Tension loading is carried out by using positive load method to evaluate potential crack propagation, fiber fractures, de-laminations, etc. Through continuous stressing in the material, evaluation of life cycle capabilities of glass fiber composites are found which is essential for Research Development, Structural Design, Quality assurance, Modeling and finally Material Specifications. By using an epoxy resin with glass fiber prepared in …
Published in International Journal of Construction Engineering and Planning · Vol. 5, Issue 1, 2019 · pp. 39–55 Read article
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Human-Intensive Snow Disposal and Elderly Residents of Toyama Prefecture
Abstract: A human-intensive (labor-intensive) snow disposal issue at Toyama prefecture is reported herein. Recently, the aging of population has come to pose a severe difficulty in Toyama prefecture, Japan. After two or three decades, almost cities in Toyama prefecture will become quasi-marginal or marginal societies. Aging populations have already become a difficulty throughout the world. Japan is in vanguard of aging population worldwide. Many social issues are expected to occur in …
Published in International Journal of Transportation Engineering and Traffic System · Vol. 5, Issue 1, 2019 · pp. 25–41 Read article
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Energy Generating Gymnasium System
Abstract: Most of the newly invented technologies entirely depend upon electricity for their proper operation. Therefore, the energy demand is increasing day by day. Energy has been a big cause for the development of human being. Conventional energy resources include fossil oil, natural gas and coal which are ultimately depleting and for this reason scientific community is shifting its attention towards renewable energy resources. In order to aid the energy crisis, …
Published in International Journal of Distributed Computing and Technology · Vol. 6, Issue 1, 2020 · pp. 21–27 Read article
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Investigations of Diabetic Retinopathy Algorithms in Retinal Fundus Images
Abstract: Diabetic Retinopathy (DR) location is a point of high enthusiasm for therapeutic picture investigation since the examination of DR is essential for finding, treatment arranging and execution, and assessment of clinical results in ophthalmology. Programmed or self-loader DR location can bolster clinicians in playing out these undertakings. Diverse restorative imaging methods are at present utilized in clinical practice and a suitable decision of the identification calculation is required to manage …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 1, 2020 · pp. 14–26 Read article
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Facial Expression Classification using Multi-Scale Histogram of Oriented Gradients
Abstract: An automatic facial expression classification method, based on multiscale Histogram of Oriented Gradients (HOG) features extracted from sub-facial image patches, is proposed in this paper. A number of multiclass Support Vector Machines (SVM) are designed using the multiscale HOG features for classifying six basic facial expressions for frontal face images. The proposed method, with a simple design and few training data, achieves descent classification accuracy at a very low computational …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 1, 2020 · pp. 5–13 Read article
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Artificial Intelligence in Cyber Security
Abstract: Security isn't working. While security as a level of IT spend keeps on developing at a powerful rate, the expense of security breaks is becoming significantly quicker. Associations are spending near $100 billion on a bewildering cluster of security items. Truth be told, it isn't exceptional for CISO associations to have 30 to 40 security items in their condition. Be that as it may, in the event that you ask …
Published in International Journal of Software Computing and Testing · Vol. 5, Issue 1, 2019 · pp. 9–14 Read article
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Home Appliances Control Using Voice
Abstract: This paper presents the advancement of home machines dependent on voice order utilizing Android. This framework has been intended to help and offer the help to old and incapacitated individuals at home. Google application has been utilized as voice acknowledgment and cycle the voice contribution from the PDA. In this paper, the voice input has been caught by the android and will be shipped off the Arduino Uno. Bluetooth module …
Published in International Journal of Software Computing and Testing · Vol. 7, Issue 1, 2021 · pp. 25–31 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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The Foundations and Principles of Computational Intelligence
Abstract: Artificial intelligence (AI) assumes a driving part in security administrations. A dynamic model Intelligent Intrusion Detection System (IIDS), in view of particular AI approach for intrusion detection. The strategies that are being explored incorporate neural networks and fuzzy logic with network profiling that uses basic data mining procedures to handle the network data. Suspicious interruptions can be followed back to its unique source way and any traffic from that specific …
Published in International Journal of Analog Integrated Circuits · Vol. 1, Issue 2, 2015 · pp. 17–33 Read article
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Introduction to Kinematics using Artificial Neural Network
Abstract: A neural network is a machine designed to simulate how a specific process or function ofinterest is performed by the brain. To achieve good efficiency, we use a large interconnectionof simple computer cells called "neurons" or "processing units." Therefore, a neural networkviewed as an adaptive machine can be described as a massively parallel distributedprocessor comprising simple processing units with a natural propensity to store experimentalknowledge and make it available for …
Published in International Journal of Analog Integrated Circuits · Vol. 5, Issue 2, 2019 · pp. 1–5 Read article