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88 articles for “Extraction efficiency”
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Brain Tumor Detection using Machine Learning Methods-KNN, SVM, DT, RF
Abstract: Brain tumor is a major contributor to illness and death worldwide, and timely diagnosis is essential for successful treatment and improved outcomes Recent research has looked into the possibility of machine learning algorithms for detecting and classifying brain tumours in medical pictures. In this study, four commonly used machine learning algorithms (K-Nearest Neighbours, Decision Trees, Support Vector Machines, and Random Forests) were evaluated for their effectiveness in brain tumor detection. …
Published in International Journal of Chemical Engineering and Processing · Vol. 9, Issue 2, 2023 · pp. 48–59 Read article
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Effect of various parameters and Equivalent Circuit Analysis on Degradation of Organic Solar Cell
Abstract: This study conducts a mathematical analysis on organic solar cells. Two modeling approaches are studied, equivalent circuit model and optical model. Equivalent circuit model study is conducted by undergoing parametric extraction study of two diode model by implementing genetic algorithm using optimization toolbox in Matlab 2014. Two studies conducted in this section, two diode model study on degradation of organic solar cell under continuous illumination. The optimization studies includes the …
Published in International Journal of Analog Integrated Circuits · Vol. 2, Issue 2, 2016 · pp. 5–9 Read article
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Detecting COVID_19 in X-ray images using artificial neural network
Abstract: In this paper, we propose a method for detecting COVID-19, which is most important for now days in lowering mortality rates. COVID-19 had a rapid impact on our daily lives, businesses, and global trade and transportation. Chest CT scans and CT x-rays reveal particular radiographic abnormalities in people with COVID-19 by means of faster and more efficient representation of the patient's lung that enables for the detection of viral phenomena. …
Published in International Journal of Broadband Cellular Communication · Vol. 8, Issue 1, 2022 · pp. 32–38 Read article
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Analysis of THD in Voltage Source Inverter with Constant Current Controller for Solar PV Cell
Abstract: A common method in the study of voltage source inverters is the hypothesis of a voltage-type input source even in the case of renewable energy (RE). When a converter is supplied by an RE, such as a photovoltaic (PV) generator, the dc-link voltage is usually controlled by the converter with closed loop to extract maximum power from the source. The main aim of the paper is to analyze the total …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 2, Issue 1, 2016 · pp. 7–14 Read article
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Study on the Possibility of Ginger Juice Extract in Methyl Orange Decolorization
Abstract: In this research work, the authors investigated the potential of ginger juice as a natural and eco- friendly agent for the decolorization of an azo dye under varying pH conditions. Specifically, the study focused on the probability of dye decolorization at pH 6 and pH 8 to understand the influence of acidic and alkaline environments. Additionally, the effect of hydrogen peroxide (H₂O₂) as a co- treatment agent was assessed. For …
Published in International Journal of Plant Biotechnology · Vol. 11, Issue 1, 2025 · pp. 26–33 Read article
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Prediction of Rainfall Using MLP and RBF Networks for Monsoon and Post-Monsoon Seasons of Pune and Mahabaleshwar Regions
Abstract: Prediction of rainfall for a river basin has utmost importance for planning of irrigation and drainage system as also for command area development. For example, analysis of consecutive days of rainfall is more relevant for drainage design of agricultural lands whereas analysis of weekly rainfall data is relevant for planning of cropping pattern. Likewise, analysis of monthly and seasonal data is more useful for water management practices. With the development …
Published in International Journal of Water Resources Engineering · Vol. 7, Issue 1, 2021 · pp. 34–51 Read article
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Identification of diesel engine defects of corvette type naval ships
Abstract: One of the main machineries of a ship is the high-speed diesel engine, which is used for main and auxiliary propulsion systems. Due to the high cost of these assets, their operational reliability needs to be optimally ensured for efficient and effective exploitation of these machineries. The current existing flow chart of registering diesel engine defects has been reviewed and a new methodology, which is more systematic and reliable has …
Published in International Journal of I.C. Engines and Gas Turbines · Vol. 3, Issue 1, 2017 · pp. 1–13 Read article
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Predictive Models for Drinking Water Quality: Leveraging Machine Learning for Improved Safety and Efficiency
Abstract: Quality of drinking water is one of the critical determinants of public health, leading to severe environmental and health-related issues when poor. The paper examines the integration of machine learning techniques that could improve accuracy and efficiency in assessing drinking water quality. The traditional techniques of monitoring drinking water are resource-intensive yet lack timely insight into contamination events. In this scenario, an evaluation of the performance of ML models such …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 11, Issue 1, 2025 Read article
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Evaluation of Michaelis-Menten Constants of TPH Degradation on Clay Soil
Abstract: The degradation of Total Petroleum Hydrocarbons (TPH) in petroleum-contaminated clay soil remains a major environmental concern, particularly in regions with limited remediation options. This study investigates the enzymatic kinetics of TPH biodegradation using Michaelis-Menten modeling in the presence of Bryophyllum pinnatum leaf extracts as biostimulants. Fourteen bioreactors containing 2000g of contaminated clay soil were prepared with 100ml of crude oil and treated with varying doses (100ml, 200ml, and 300ml) of …
Published in International Journal of Chemical Engineering and Processing · Vol. 11, Issue 2, 2025 · pp. 6–12 Read article
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Ballistic Impact Performance of Composite Armor Using Ultrasonic Nde and Ansys Autodyn
Abstract: The world is currently under the threat of terrorist attacks and wars. This will be very critical because the scientists have developed advanced weapons (guns, bullet) for the awesome attacks. Therefore, the safety of soldiers and vehicles of the army has become a major concern. Armors are used in defense applications to provide protection for soldiers and military vehicles. In general, armor is made from natural materials, composite materials and …
Published in International Journal of Mechanics and Design · Vol. 9, Issue 1, 2023 · pp. 1–23 Read article
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Enhancing Facial Expression Analysis Using CNNs: Insights from ML and Deep Learning Comparisons
Abstract: Emotion recognition from facial manifestations increases the interaction between humans and computers by enabling the interaction between humans and computers to effectively explain human feelings. This study presents a comparative analysis of three approaches to the emotional recognition of faces: a custom Convolutional Neural Network (CNN) model, Traditional Machine Learning (ML) methods, and other deep learning architectures such as VGG, ResNet, and Hybrid CNN–RNN models. The proposed CNN-based system, developed …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 1, 2026 · pp. 23–31 Read article
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Intelligent Data Analytics on Cloud Infrastructure:Real-Time Insights and Managed Service Models
Abstract: This paper examines the integration of advanced data analytics and machine learning within modern cloud infrastructure, highlighting how organizations can transform large volumes of unstructured data into actionable business insights that drive competitive advantage. Cloud platforms leverage scalability and elasticity to efficiently process and analyze massive datasets in real time, allowing enterprises to identify hidden patterns, detect operational anomalies early, and generate accurate forecasts of future outcomes. A key factor …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 36–46 Read article
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An Advanced Framework for Energy Harvesting in Device-to-Device Communication within 5G-Enabled IoT Healthcare Networks
Abstract: The healthcare sector is forever advancing, and one of the key technologies that have started playing a part in better patient care and management is Internet of Things (IoT) devices. The Device-to-Device (D2D) communication in 5G-enabled IoT healthcare networks provide better data transmission rate and very low latency. But despite all that, IoT devices still have over-the-top energy consumptions requiting attention. In this work, an innovative energy harvesting framework is …
Published in International Journal of Embedded Systems and Emerging Technologies · Vol. 12, Issue 1, 2026 · pp. 22–30 Read article
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Performance Calculation of a Gas Plant Compressor Unit
Abstract: This research was centered on calculating the performance of a gas plant compressor unit which was achieved using Tunu Booster Station facility. The results shows that the ability of the compressor, isentropic efficiency and coefficient of performance of the compressor gave values of 33899kw, 0.83 and 1.2. The deviations from the existing plant values were 35.6%, 31.7% and 20% respectively. Other parameters that were considered and evaluated include the failure …
Published in International Journal of Polymer Science and Engineering · Vol. 8, Issue 2, 2022 · pp. 13–24 Read article
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Face Recognition and Identification Using Computer Vision
Abstract: ABSTRACT In practice, identification of criminal in India is done through thumbprint identification. However, this type of identification has many constraints. Our face recognition poses to be able to detect face and recognize face automatically. Nowadays, face recognition systems use biometric for many security applications. This technique uses an image-based approach toward artificial intelligence by removing redundant data from face images through image compression using computer vision that compares a …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 5, Issue 1, 2019 · pp. 6–10 Read article
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Fall Detection and Rescue System from Borewell
Abstract: The way the plates are arranged within the bore well prevents the youngster from entering very far, hence the offered remedy will ensure the child's survival. Unintentionally falling into a borewell can be extremely hazardous, especially for children and animals, as it could endanger their lives. In order to solve this issue, the suggested system has developed a unique robot system that can swiftly identify and handle such situations. The …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 10, Issue 1, 2024 · pp. 7–13 Read article
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Sustainable Plastic Waste Management Through Recycling Method
Abstract: Plastics find their use in every sector owing to their durability, low cost and versatility and have become an integral part of the global economy. Societies waste is generated, but only a few percentages of this waste is recycled, and the remaining find its way into the various ecosystems thereby harming the environment and life. Plastics deteriorate the environment and thus its disposal has gained critical attention. The world needs …
Published in International Journal of Environmental Chemistry · Vol. 8, Issue 1, 2022 · pp. 48–52 Read article
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Sonochemical Synthesis of Copper Nanoparticles:Process Fundamentals, Scale-Up Challenges, andIndustrial Opportunities
Abstract: The sonochemical synthesis of copper nanoparticles (Cu NPs) has emerged as a powerful and widely investigated strategy in nanomaterials research, owing to the unique physicochemical conditions generated during ultrasonic irradiation. Acoustic cavitation induced by sonication produces transient microenvironments characterized by extremely high local temperatures, pressures, and rapid cooling rates, which collectively enable efficient reduction of copper precursors into nanoscale particles. These conditions cannot be easily achieved through conventional synthetic routes, …
Published in International Journal of Chemical Engineering and Processing · Vol. 12, Issue 2, 2026 · pp. 37–43 Read article
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Recent Advances in the Development & Application of the High Energy Explosives
Abstract: High energy explosives play a pivotal role in various fields ranging from military applications to industrial uses. Recent advancements in materials science, chemical engineering, and detonation physics have led to significant strides in the development and application of high energy explosives. This paper provides an overview of these recent advances, focusing on key innovations in explosive formulations, manufacturing techniques, and performance optimization. One notable area of progress is the development …
Published in International Journal of Energetic Materials · Vol. 9, Issue 2, 2023 · pp. 18–23 Read article
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AI-Integrated Precision Agriculture System for Fertilizer Optimization, Multimodal Crop Yield Prediction
Abstract: Agriculture is rapidly transforming into a data-driven ecosystem supported by advances in artificial intelligence (AI), Internet of Things (IoT) sensor networks, and satellite remote sensing technologies. These innovations enable precision-driven decision-making aimed at improving productivity while minimizing environmental impact. This paper presents an AI-integrated precision agriculture system designed to optimize fertilizer usage and enhance crop yield prediction accuracy through a robust multimodal deep learning framework. The proposed approach integrates heterogeneous …
Published in International Journal of Plant Biotechnology · Vol. 12, Issue 1, 2026 · pp. 11–17 Read article