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185 articles for “machining time”
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Arduino Based Smart Automatic Ration Distribution System Using Fingerprint Sensor
Abstract: Today’s ration distribution system faces several challenges and plenty of problems like non legal importing and corruption of products happens in the ration distribution centers in India. These controversies embrace irregular activity of the products, wrong entries within the manual stock register. Alternative times the particular product provided by the government for the distribution does not reach the common people. In our project, we have got replaced the manual work …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 2, 2019 · pp. 7–13 Read article
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Innovative Approach for Sugarcane Plantation
Abstract: Sugarcane planting with traditional methods is costly, time consuming, it needs great human force,more numbers of sugarcane stalk. Also because of unskilled labor stressed or diseased bud may getplanted. To solve this problem we designed algorithm for atomization of sugarcane planting machineusing image processing. It detects the nodes efficiently and locates the cut point for stalk cutting. Itreject to cut the stalk if sugarcane suffered by Stress or disease like …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 7, Issue 1, 2021 · pp. 7–12 Read article
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Cloud Security Using Machine Learning: A Study
Abstract: The rapid adoption of cloud computing has revolutionized IT infrastructure, offering unprecedented scalability, flexibility, and cost efficiency. However, this paradigm shift introduces a new spectrum of sophisticated security challenges that traditional, signature-based security mechanisms often struggle to address effectively given the dynamic, multi-tenant, and distributed nature of cloud environments. This paper explores the critical role of Machine Learning (ML) as a potent paradigm for strengthening cloud infrastructure. ML emerges as …
Published in International Journal of Distributed Computing and Technology · Vol. 11, Issue 2, 2025 · pp. 21–30 Read article
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A Comprehensive Review of Convolutional Neural Network Architectures and Evolution
Abstract: Convolutional Neural Networks (CNNs) have become a foundational deep learning framework in computer vision because they can automatically extract layered, increasingly complex features directly from raw image data. CNNs use convolutional, pooling, and activation layers to extract spatial patterns from basic edges to intricate object components, drawing inspiration from the human visual cortex. An overview of CNNs’ basic architecture is given in this study, along with an explanation of important …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 32–40 Read article
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Enhancing Weak Grid Stability Using Grid-Forming BESS in Renewable-Dominated Power Systems
Abstract: The growing share of renewable energy sources in the energy mix, particularly photovoltaic (PV) installations, has resulted in the reduced grid inertia and system strength, thus presenting new challenges in terms of voltage and frequency stability in weak grid situations. Conventional grid-following (GFL) inverters rely on synchronizing with the grid and performing relatively poorly under specific situations such as disturbances, voltage sags, or islanding. It has been the aim of …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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Designing Brake Fluids for Modern Cars; Key Aspects
Abstract: The advancement of technology in almost all areas such as materials, electronics, communication, Information Technology, machines, electronics, instrumentation, control systems, etc. made it possible to have the modern cars of the type that were not possible decades ago. There exist materials today that are much lighter than the metals but at the same time stronger than metals. This helped in attaining higher speeds on the one hand and much superior …
Published in International Journal of Analytical and Applied Chemistry · Vol. 9, Issue 2, 2023 · pp. 1–14 Read article
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The Role of Artificial Intelligence in Mental Health: New Approaches for Diagnosis and Treatment
Abstract: Artificial intelligence (AI) is increasingly reshaping mental health care by supporting early identification of mental health conditions, improving diagnostic accuracy, and enabling personalized intervention strategies for disorders such as depression, anxiety, and post-traumatic stress disorder. Advanced AI technologies, including machine learning algorithms and natural language processing techniques, allow analysis of large-scale behavioral, textual, and speech-based data to identify patterns related to emotional and cognitive health. These tools help clinicians make …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 22–26 Read article
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AI-Based Image Detection of Rice Crop Diseases Using Deep Learning and Grad-CAM
Abstract: The Indian economy relies heavily on agriculture, and rice is one of the most significant staple crops grown in the country. Nevertheless, rice cultivation faces numerous challenges due to several leaf diseases, such as bacterial leaf blight, brown spot, and leaf smut. These diseases can lead to substantial yield losses and financial burdens for farmers. Therefore, the early detection and classification of these diseases are essential to minimize crop damage …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 2, 2026 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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Water Quality Monitoring System
Abstract: For water resources to be used in a safe and sustainable manner, water quality monitoring is crucial. In this article, we present a comprehensive system for tracking a variety of metrics, such as pH, temperature, conductivity, total dissolved solids, and others, in water quality. Sensors and other analytical instruments are used in the system to gather data, which is then wirelessly transmitted to a central database for analysis and storage. …
Published in International Journal of Analog Integrated Circuits · Vol. 8, Issue 2, 2022 · pp. 28–33 Read article
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Speech Emotion Recognition using Multi- Kernel CNN for Features extraction and Random Forest Classifier
Abstract: Identifying human emotional states from speech signals is the main goal of Speech Emotion Recognition (SER), which has grown to be a significant area of study in affective computing. However, class imbalance and efficient feature extraction from speech data pose problems for many of the current methods. This study suggests a hybrid framework that combines a Random Forest (RF) classifier with a multi-kernel Convolutional Neural Network (CNN) to address these …
Published in International Journal of Digital Communication and Analog Signals · Vol. 12, Issue 2, 2026 Read article
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House Price Prediction using Machine Learning Algorithms
Abstract: House Prices depend on various factors such as location, features of the house, construction and so on. To factor all these aspects and predict an accurate price of the house can be very tricky. The following paper proposes a system that considers every aspect of a house that effects its pricing and gives an accurate prediction of the house. The system accomplishes this utilising Gradient Boosting, Random Forest, and Decision …
Published in International Journal of Digital Communication and Analog Signals · Vol. 8, Issue 1, 2022 · pp. 23–29 Read article
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A Study of 3D Printing Technology and M.L. Algorithms for Enhanced Production
Abstract: Abstract The realm of 3D printing technology, also referred to as additive manufacturing, has garnered increasing interest in recent times due to its capacity to construct intricate geometric structures. Fused deposition modeling (FDM) stands out among the various techniques and has gained widespread adoption. However, achieving optimal outcomes with FDM poses a challenge, necessitating meticulous selection of process parameters. Presently, many methodologies rely on Machine Learning (ML) algorithms akin to …
Published in International Journal of Computer Aided Manufacturing · Vol. 11, Issue 1, 2025 · pp. 6–15 Read article
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Gourmet Sage Using Deep Learning With Calories Chart
Abstract: Gourmet Sage via Deep Learning with Calories Chart is an innovative system that merges advanced deep learning technology with nutrition science to help users make healthier dietary choices. By leveraging YOLOv8, a cutting-edge object detection model, the system allows real-time identification of food items, estimating their calorie content and ingredient composition with remarkable accuracy. It goes beyond detection by providing a comprehensive nutritional breakdown, including macronutrients (proteins, fats, carbs) and …
Published in International Journal of Image Processing and Pattern Recognition Read article
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Semantic Segmentation for Object Detection in Videos using Mask RCNN
Abstract: The segmentation of object instances is an essential step in real-time video detection. Object detection is the problem of detecting the information of all types of items in an image by designating their location with a rectangular box. Using its remarkable feature-learning capabilities, deep learning promotes object detection research. Numerous researchers have utilised various machine learning algorithms for object detection and have focused on enhancing the accuracy of feature extraction. …
Published in International Journal of Digital Communication and Analog Signals · Vol. 8, Issue 2, 2022 · pp. 7–15 Read article
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Relevance and Utilization of Copper and Copper Alloys
Abstract: Copper is the oldest metal used by man. It is use dates back to prehistoric times. Copper has been mined for more than 10,000 years with a Copper pendant found in current day Iraq being dated to 8700 BC. By 5000BC Copper was being smelted from simple copper oxides. The combination of physical properties such as strength, conductivity, corrosion resistance, machinability and ductility make Copper suitable for a wide range …
Published in International Journal of Metallurgy and Alloys · Vol. 3, Issue 2, 2017 · pp. 11–16 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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Optimizing Internal Combustion Engine Performance and Fleet Fuel Economy through Machine Learning and AI using Big Data Analytics
Abstract: Abstract This paper presents a software-defined operational intelligence approach for optimizing internal combustion engine performance and fleet fuel economy using Big Data Analytics combined with Machine Learning and Artificial Intelligence. Real-world vehicle data is transformed into engineered features and virtual sensing outputs to estimate fuel consumption, driver behaviour, and component health without additional hardware. The proposed system integrates fuel optimization, predictive maintenance, driver assistance, and sustainability assessment into a unified …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 12, Issue 1, 2026 · pp. 1–7 Read article
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Structural Analysis of a Single Tool Post
Abstract: This paper provides practical simulation analysis of a Single Tool Post using the Fusion 360 graphic program. A Single Tool Post has a predominantly cylindrical body joined with a collar at the base. A slot is present in the body to hold the tool for further operations. The tool is placed on top of the hemispherical wedge in the slot. The tool is tightly placed in the slot with the …
Published in International Journal of Structural Mechanics and Finite Elements · Vol. 7, Issue 2, 2021 · pp. 29–34 Read article
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Smart Wastewater Treatment Plant Modeling Using ANN And ASM1 MATLAB Simulation
Abstract: Wastewater Treatment Plants (WWTPs) are necessary infrastructure for protecting the environment and public health, but modeling and predicting performance has been an ongoing challenge for engineers working within a WWTP and regulators of the environment. For many years the Activated Sludge Model No. 1 (ASM1) has been the standard for simulating biological treatment processes, but the conventional implementations in MATLAB do not provide the user-friendly interface, the predictive intelligence, or …
Published in International Journal of Chemical Engineering and Processing · Vol. 12, Issue 2, 2026 · pp. 44–62 Read article