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1007 articles for “extractant”
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A Review of Embodied Energy Strategies to reduce the carbon emissions in Sustainable Buildings
Abstract: Buildings in India account for almost one-fifth of the nation's carbon emissions, making it the third- largest carbon emitter globally. These emissions are expected to climb by 50% over the next 20 years, which is the biggest increase of any nation. You would have to go into a jungle to avoid concrete, steel, and aluminium since they are so common. Just these three substances are responsible for 23% of the …
Published in International Journal of Architectural Design and Planning · Vol. 3, Issue 1, 2025 · pp. 18–27 Read article
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Quinine: Past, Present, and Future Perspective in Malaria and Autoimmune Disorder
Abstract: Quinine, a natural alkaloid extracted from the bark of the cinchona tree, has traditionally played a key role in treating malaria, a disease caused by parasites of the Plasmodium genus. Since its discovery in the 17th century, quinine has evolved from a rudimentary treatment to an essential component of modern antimalarial therapies. This article explores the historical use of quinine in the fight against malaria, its role in current treatment …
Published in International Journal of Pathogens · Vol. 2, Issue 1, 2025 · pp. 24–33 Read article
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A Comparative Study of Oven, Spouted Bed, and Convective Tunnel Drying Methods of Mango for Oil Production
Abstract: Mango seeds, with a high moisture content exceeding 70% (wet basis) require effective drying methods to ensure their preservation and to enhance the quality of derivative products like mango seed oil. Proper drying is essential to inhibit enzymatic activity and microbial growth, which extends the shelf life of these seeds. This study investigates multiple drying techniques, including conventional oven drying, spouted bed drying, and convective tunnel drying, to determine their …
Published in Journal of Modern Chemistry & Chemical Technology · Vol. 16, Issue 1, 2025 · pp. 15–19 Read article
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Data-driven Approaches to Mineral Resource Management Using AI: A Brief Review
Abstract: The role of Artificial Intelligence (AI) in the mineral resource sector has become increasingly significant over the past few years, as industries seek to optimize and modernize their operations. AI encompasses a variety of technologies and techniques, such as machine learning, deep learning, and expert systems, that are now widely used in mineral exploration, resource estimation, and mine management. These AI-driven approaches have brought about a transformative shift, enhancing efficiency, …
Published in International Journal of Minerals · Vol. 2, Issue 1, 2025 · pp. 25–29 Read article
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Image Processing and Deep CNN-based Automatic Liver Cancer Detection
Abstract: Liver cancer ranks among the leading causes of mortality for people worldwide. In the current situation, manually identifying the cancer tissue is a challenging and timeconsuming task. Treatment planning, response monitoring, tumor load assessment, and prediction are all made possible by the segmentation of liver lesions in CT scans. To address the current problem of liver cancer, the Hybridized Fully Convolutional Neural Network (HFCNN), which has been theoretically modeled, has …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 3, Issue 1, 2025 · pp. 39–41 Read article
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Fake Cryptocurrency Detection Using Python
Abstract: This study investigates the use of Python-based techniques for detecting fraudulent cryptocurrencies, addressing a growing concern in the digital financial ecosystem. The research methodology integrates various data science approaches, including web scraping, API integration, and advanced data analysis using Pandas and NLTK. Machine learning models, particularly classification algorithms such as Random Forest, are employed to analyze key features extracted from cryptocurrency whitepapers, social media discussions, and transactional data. By training …
Published in Recent Trends in Programming languages · Vol. 12, Issue 1, 2025 · pp. 1–7 Read article
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Content-based Image Retrieval: Recent Trends and Techniques
Abstract: Due to the affordability of digital devices and the accessibility of internet technologies, a vast number of multimedia databases have been established for various applications. These image databases increase the need for efficient picture retrieval search strategies that meet user requirements. When compared to other systems, the content-based image retrieval (CBIR) system is one of the most widely used systems for retrieving images from enormous databases. Much work has been …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 01–32 Read article
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A Low Embodied Energy Approach for Early Design Decisions in Agritourism Centers in Pune
Abstract: Agritourism is an idea that empowers and trains the rural family, organization, or individual to generate alternative sources of income by transforming their traditional agricultural land into a tourist attraction. Agritourism is the practice of attracting visitors to an area used primarily for agricultural purposes. It could be described as – rural/agricultural environments + farm commodities + tourism services = agritourism. It gives visitors an experience to stay in a …
Published in International Journal of Rural and Regional Development · Vol. 3, Issue 1, 2025 · pp. 29–41 Read article
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Transfer Learning in Deep Learning Models for Medical Imaging: Utilizing Pretrained Models to Improve Performance in Medical Image Analysis
Abstract: Transfer learning is now a trending technique in deep learning, especially in medical imaging. This technique solves landmark problems by utilizing the pre-trained models, including the limited availability of the annotated medical data and the time-consuming computational costs of training deep learning models from scratch. The generalizability of deep models could increase diagnostic precision for specific medical tasks, require fewer samples to train, and take less time to train due …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 1, 2025 · pp. 67–85 Read article
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Optimization and Structural Integrity of Truck Chassis Using Finite Element Analysis
Abstract: The chassis of a truck is a crucial component, and it acts as a framework for the body and other components of the truck. It must also be strong enough to withstand pressures like shock, twisting, vibration, and more. When building a chassis, having enough bending stiffness for better handling characteristics is just as important as strength. Deflection, maximum stress, and maximum equilateral stress are crucial design factors for the …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 1, 2025 · pp. 31–37 Read article
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A Review of Machine Learning Applications in Web Data Mining
Abstract: The rapid development of Internet technology has resulted in a rapidly changing and intricate digital environment that requires new methods for organizing and evaluating online data. This study examines the use of machine learning (ML) in web data mining, focusing on its ability to extract relevant insights from huge amounts of online data. Web data mining, which is divided into three categories: content mining, structure mining, and use mining, uses …
Published in International Journal of Data Structure Studies · Vol. 3, Issue 1, 2025 · pp. 39–47 Read article
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Exploring Phytomedicine: Innovations, Efficacy and Future Directions
Abstract: The use of plant-derived substances for therapeutic purposes has long been a cornerstone of traditional medicine systems worldwide. With increasing interest in natural remedies, the field of phytomedicine is experiencing a revival, marked by innovations in research, formulation, and application. This review article explores recent advancements in phytomedicine, highlighting novel extraction technologies, and the efficacy of plant-based treatments in clinical settings. The review also addresses the challenges faced in phytomedicine …
Published in Research & Reviews : Journal of Botany · Vol. 14, Issue 2, 2025 · pp. 32–50 Read article
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Phytochemicals from Plectranthus amboinicus and Azadirachta indica for Promoting Angiogenesis and Tissue Regeneration – A Short Review
Abstract: The eco-friendly synthesis of silver nanoparticles (AgNPs) using plant extracts has garnered significant attention due to its potential in biomedical applications. This review highlights the green synthesis methodologies, focusing on Plectranthus amboinicus and Azadirachta indica, their phytochemical components, and their docking studies with angiogenesis-related receptors such as VEGF and FGF. The applications of AgNPs in tissue regeneration, wound healing, and angiogenesis are discussed in detail, emphasizing the roles of phytochemicals …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 2, 2025 · pp. 34–40 Read article
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Optimizing Sentiment Analysis with Naïve Bayes and Random Forest Techniques: A Result-based Approach
Abstract: In the increased digitalization, the sentiment analysis and classification have evolved as an eminent area to determine the polarity of positive, negative, and neutral reviews of the customers and users on products. It is an integral application field that employs supervised learning, Machine Learning, and Natural Language Processing concepts. The proposed Semantic Analysis and Classification using Naive Bayes and Random Forest system accomplishes the sentiment polarity by classifying the user …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 2, 2025 · pp. 46–57 Read article
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Hidden Gems of Dragon Fruit: Its Role in Pharmacognosy and Therapeutics
Abstract: The Cactaceae family includes the medicinal plant Hylocereus spp., also known as dragon fruit. The skin’s unique morphology, which reflects the body’s oval form, is characteristic of dragon fruit. Dry conditions are ideal for dragon fruit growth. Dragon fruit, also known as pitaya, is a fantastic functional food that has attracted attention recently due to its numerous therapeutic benefits, including antioxidant, anti-cancer, anti-diabetic, anti-microbial, hepatoprotective, and anti-hyperlipidemic properties. It also …
Published in Research & Reviews: A Journal of Pharmacognosy · Vol. 12, Issue 1, 2025 · pp. 92–101 Read article
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Utilizing Machine Learning to Evaluate the Connection between Poisson's Ratio and the Petrophysical Properties of Reservoir Rocks
Abstract: The Poisson's ratio is a crucial cornerstone, illuminating our understanding of geomechanical behaviour in wells during the dynamic drilling process and the inspiring recovery journey. This research rigorously employs machine learning methods to analyse the significant impact of geophysical parameters on the Poisson ratio in hydrocarbon reservoirs found in oil fields. The analysis utilized data from multiple oil and gas fields, highlighting the crucial relationships between the Poisson ratio, the …
Published in Journal of Petroleum Engineering & Technology · Vol. 15, Issue 2, 2025 · pp. 33–43 Read article
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Formulation, Evaluation and Development of Multipurpose Cream Containing kokum Butter
Abstract: The creation of the multipurpose polyherbal crack-healing cream, which shields the skin from cracks and can also serve as a multifunctional cream to shield the skin from other skin issues. The polyherbal cosmetic formulation can be used to give skin a protective barrier and is safe to use. Over the course of the study, this multipurpose polyherbal cream demonstrated good homogeneity, pH, consistency, spreadability, and lack of phase separation. This …
Published in Research & Reviews: A Journal of Drug Formulation, Development and Production · Vol. 12, Issue 1, 2025 · pp. 78–89 Read article
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Automated Suspicious Activity Detection in Video Surveillance Using Deep Learning: A Review
Abstract: In the current era of advanced security systems, video surveillance plays an essential role in ensuring safety by detecting suspicious activities. With the increase in real-time data, manual monitoring has become impractical, paving the way for automated surveillance systems utilizing machine learning (ML) and artificial intelligence (AI) technologies. This paper explores the integration of ML and AI models, specifically convolutional neural networks (CNNs) and long short-term memory (LSTM) networks, for …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 20–27 Read article
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Polyherbal Cookies For Diabetic Patients: Formulation and Evaluation
Abstract: In order to control their hunger and obtain some energy, most people eat cookies for breakfast, snacks, and at leisure. Refined flour, sugar, and butter are the major ingredients of the various types of cookies that are sold in stores. Because they raise blood sugar levels, obese and diabetic individuals typically avoid them. As a result, we have created Polyherbal cookies in this latest study utilizing oats, wheat flour, and …
Published in Research & Reviews : Journal of Herbal Science · Vol. 14, Issue 2, 2025 · pp. 22–40 Read article
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Facial Emotion Detection and Its Applications
Abstract: Facial emotion detection (FED) is an interdisciplinary field that integrates artificial intelligence, computer vision, and machine learning to recognize and interpret human emotions based on facial expressions. The development of FED systems has been propelled by advancements in deep learning, particularly convolutional neural networks (CNNs) and recurrent neural networks (RNNs), which enhance recognition accuracy. Feature extraction techniques, including geometric and appearance-based methods, play a crucial role in classifying emotional states. …
Published in International Journal of Optical Innovations & Research · Vol. 3, Issue 1, 2025 · pp. 8–12 Read article