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88 articles for “Extraction efficiency”
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Advances in Gender Classification from Facial Images Using CNNs: A Comprehensive Review
Abstract: Predicting age and gender from facial images is important for various uses, like social interactions, security, and customizing user experiences. Despite progress in facial recognition technology, getting accurate and reliable predictions is still a challenge. This paper reviews recent advancements in Convolutional Neural Networks (CNNs) for age and gender classification, comparing their effectiveness to traditional methods. CNNs excel in extracting features from images and have shown notable improvements in accuracy …
Published in International Journal of Digital Communication and Analog Signals · Vol. 10, Issue 2, 2024 · pp. 1–5 Read article
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Recent Advances in Analytical and Applied Chemistry: A Comprehensive Review
Abstract: Analytical and Applied Chemistry form the backbone of modern scientific progress, connecting fundamental molecular insights with real-world industrial and societal applications. Over the past decade, these fields have undergone significant transformation, driven by the need for sustainability, precision, and efficiency. This review highlights key advancements in green analytical chemistry (GAC), high-resolution mass spectrometry (HRMS), and the incorporation of nanotechnology into chemical sensing, while also examining their broader implications in applied …
Published in International Journal of Analytical and Applied Chemistry · Vol. 12, Issue 1, 2026 · pp. 36–41 Read article
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A Novel Honey Badger Optimization MPPT Control for a High Gain Non-Isolated DC–DC Converter for PV Applications
Abstract: The Pulse-width modulation (PWM), a technique used by DC-DC power converters, is currently a hot topic in a variety of applications, including those utilising renewable energy sources. Thus, A novel, The development of a very effective non-isolated converter. To extract the maximum PV system power. In varying weather conditions, maximum power is used to control PV system loading. The maximum power of a PV system is controlled using a fractional …
Published in International Journal of Electrical Power System and Technology · Vol. 9, Issue 1, 2023 · pp. 38–50 Read article
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Application of Surface Water Quality Classification Models Using Principal Components Analysis and Cluster Analysis
Abstract: Water quality monitoring has one of the highest priorities in surface water protection policy. Many variety approaches are being used to interpret and analyze the concealed variables that determine the variance of observed water quality of various source points. A considerable proportion of these approaches are mainly based on statistical methods, multivariate statistical techniques in particular. In the present study, the use of multivariate techniques is required to reduce the …
Published in International Journal of Water Resources Engineering · Vol. 5, Issue 1, 2019 · pp. 19–31 Read article
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Case Study Of Bus System Under Three-Phase PWM Cycloconverter With MPPT Feedback Control
Abstract: In this paper, we examine a bus system as a load to extract maximum obtainable power on it from three phase PWM cycloconverter module. We also use the concept of Maximum Power Point Tracking (MPPT) control through which the efficiency can be improved. The main objective of this case study is to observe the behavior of given bus system when it is applied as a load in MPPT controlled three …
Published in International Journal of Electrical Power System and Technology · Vol. 2, Issue 1, 2016 · pp. 32–36 Read article
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Oxidative Desulfurization of Petroleum
Abstract: One of the most successful desulfurization procedures for the creation of ultra-low sulphur import fuels is oxidative desulfurization, which converts aromatic sulfur-containing molecules into sulfone counterparts before being extracted. Oxidative desulfurization processes using graphene oxide are of great interest for fuel sulfur removal. Its technique of desulfurization in reactions catalyzed was thoroughly detailed in this review, along with graphene’s function as a supported catalyst, the findings of research on oxidative …
Published in International journal of Thermodynamics and Chemical Kinetics · Vol. 8, Issue 2, 2022 · pp. 1–4 Read article
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EFFECTIVE USE OF ADSORPTION TECHNIQUE FOR REMOVAL OF HEAVY METALS FROM WATER A Review
Abstract: Abstract- Presence heavy metals are not acceptable in water so, this study presents removal of heavy metals from water with the use of different adsorbents, particularly agricultural waste materials. This is to develop effective and economical water treatment solutions. The hazardous effects of presence of heavy metal in water causes great risks to source of water and health issues to human. In regions like Bhandara and Ambazari Lake in Nagpur, …
Published in International Journal of Water Resources Engineering · Vol. 11, Issue 2, 2025 · pp. 7–13 Read article
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Design and Pinch Analysis of Styrene Production Process Using Aspen HYSYS and Aspen Energy Analyzer
Abstract: This paper presents the design and energy analysis of styrene production process. Process flow diagram is designed using Aspen HYSYS. Styrene product obtained is of purity 73% and further purity is recommended. Pinch analysis is applied to the process plant by using Aspen Energy Analyzer, as a part of that in the first step all the stream data is extracted, in the second step heat exchanger networks (HEN) is developed …
Published in International Journal of Chemical Synthesis and Chemical Reactions · Vol. 1, Issue 1, 2015 Read article
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Bioremediation of Domestic Waste Water by Selected Aqua Plants
Abstract: Around 30 percent of the service costs of predictable centralized wastewater treatment requires energy to operate the machines for pumping and ventilation. In comparatison, constructed marshlands involving photosynthetic plants and other organisms have a lower energy requirement. The aim of the present work is to select aquatic plants which have a high efficiency of removing pollution from wastewater. Four plants were selected out of the available plants growing in nearby …
Published in International Journal of Plant Biotechnology · Vol. 5, Issue 1, 2019 · pp. 1–7 Read article
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Region-based Object Detection and Classification using Faster R-CNN
Abstract: With the advent of Deep Learning the machine learning systems are able to recognize and classify objects of interest in an image. Various advancement has been done in the field of object recognition and classification. Our research work focusses on improving the R-CNN, Fast R-CNN, YOLO architecture. The work focused on using Region Proposals Network (RPN) to extract region of interest in an image. RPN outputs an image based on …
Published in International Journal of Microelectronics and Digital integrated circuits · Vol. 6, Issue 2, 2020 · pp. 22–30 Read article
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Artificial Intelligence for the Art and Science of Separation: Optimizing Chemical Systems
Abstract: Chemical separation processes play a critical role across chemical manufacturing, energy production, pharmaceuticals, and environmental remediation, yet they remain among the most energy-intensive operations in modern industry. Recent advancements in artificial intelligence (AI) offer transformative opportunities to significantly improve the efficiency, selectivity, and sustainability of these systems by leveraging computational power and data-driven insight. This article reviews the emerging integration of machine learning, data-driven modeling, and advanced optimization algorithms with …
Published in International Journal of Chemical Separation Technology · Vol. 11, Issue 2, 2025 · pp. 1–7 Read article
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Pregcare Record Analysis Based on BERT and Anticipatory Computing: A Review
Abstract: Development of a sophisticated Medical Pregnancy Care chatbot leveraging state- of-the-art Natural Language Processing (NLP) techniques, specifically the BERT framework. The chatbot offers a seamless user experience with two key functionalities: patient registration and comprehensive medical report generation. New users are prompted to register, providing essential personal details, and subsequently prompted to fill detailed medical reports, ranging from the 1st to the 9th month of pregnancy. The system employs anticipatory …
Published in International Journal of Analog Integrated Circuits · Vol. 10, Issue 1, 2024 · pp. 27–35 Read article
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Facial Image Analysis for Identification of Gender: A Machine Learning based Approach
Abstract: Facial biometrics for gender classification is known to significantly improve the efficiency of person identification in biometric access control models. It not only increases the speed but also improves the accuracy. It reduces the effort of finding a match for a face in the databases to almost a half. The process like any pattern recognition framework needs to extract the useful features. A novel gender identification algorithm is proposed which …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 7, Issue 1, 2021 · pp. 23–29 Read article
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Classification of power quality disturbances using advanced deep learning algorithms for Accurate and efficient electrical signal analysis
Abstract: Power systems today have to deal with more and more power quality issues (PQDs) like voltage drops, rises, harmonics, and transients because more people are using renewable energy sources and electronic devices. These problems can hurt equipment, stop services, and lower the overall reliability of power. In real-time settings, traditional detection methods often don't work as quickly or accurately as they should. This paper looks at how deep learning models, …
Published in International Journal of Power Electronics Controllers and Converters · Vol. 12, Issue 2, 2026 Read article
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Toward Sustainable Intelligence: A Framework for Green AI Adoption
Abstract: The rapid expansion of Artificial Intelligence has shattered the illusion of the cloud as an ethereal entity, revealing a massive physical infrastructure with a staggering environmental price tag. The traditional Red AI paradigm – where success is measured solely by accuracy through brute-force scaling – has created an unsustainable trajectory. Training a single large-scale model like GPT-3 requires 1,287 MWh of electricity, while the necessary cooling systems evaporate millions of …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 17–23 Read article
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Automated Image Captioning Using Xception–CNN and LSTM for Descriptive Sentence Generation
Abstract: Generating descriptive texts for images is a complex and challenging task that requires advanced deep learning techniques. This paper presents a descriptive sentence generator for images using a combination of convolutional neural networks and recurrent neural networks. The proposed model utilizes a pretrained convolutional neural network, Xception, to extract image features, which are then processed by a long short-term memory network to generate meaningful textual descriptions. The model is trained …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 11, Issue 2, 2025 · pp. 20–28 Read article
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Smart Risk Management: Power BI in Modern Construction Practices
Abstract: Abstract— In the evolving domain of construction management, data-driven decision-making plays a pivotal role in ensuring successful project execution. This paper presents a comprehensive approach to risk identification, analysis, and mitigation using Microsoft Power BI. By integrating Failure Mode and Effects Analysis (FMEA) and risk data extracted from periodic reports (PPR, DPR, WPR), we demonstrate how Power BI's data visualization capabilities can transform raw datasets into actionable insights. The generated …
Published in International Journal of Construction Engineering and Planning · Vol. 12, Issue 1, 2026 · pp. 45–53 Read article
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Thermodynamic Analysis of Evacuated Tube Solar Collector based Water Heating System: Experimental Approach
Abstract: Energy from the sun is the most profuse and least extracted source of energy ever used in the history of usable resources. Current work aims to harness solar energy for heating water and put it into use by maximizing its effect through evacuated tube solar collector (ETSC). In this work, the effect of low mass flow rates on thermodynamic performance (energy efficiency, exergy efficiency and rate of irreversibility) of an …
Published in International Journal of Electrical Power System and Technology · Vol. 11, Issue 1, 2025 Read article
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Adaptive Text_Summarization: A Meaningful Summarization of Reviews
Abstract: Adaptive text_summarization is a model which takes elaborated data set of reviews containing more than two attributes as input and further breaks down those large chunks of text into summarized - form by eliminating attributes which are of less important for final evaluation. We keep only those attributes which contribute for better adaptation of meaning of the dataset. We have executed the techniques of Recurrent Neural-Network and Seq2Seq models to …
Published in International Journal of Software Computing and Testing · Vol. 6, Issue 1, 2020 · pp. 1–7 Read article
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Review on the Separation Mechanisms in Microfluidics for Bioengineering Applications
Abstract: In this review, author has mentioned different techniques of separation mechanisms in bioengineering, like passive separation, magnetic separation, electrical separation, optical separation and acoustic separation. The extraction of blood plasma from human whole blood by separating blood cells is a need in biomedical industry. In the recent past, Mukhopadhyay as author has demonstrated different passive techniques to separate the polystyrene microparticles of different sizes in the designed microfluidic laboratory-on-a-chip systems …
Published in International Journal of Renewable Energy and its Commercialization · Vol. 4, Issue 1, 2018 · pp. 22–27 Read article