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151 articles for “extracted”
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Optimizing Power Generation from Building Ventilation Systems: A Study on Exhaust Fan Efficiency
Abstract: Due to population growth, the world's energy consumption has increased dramatically in both wealthy and developing nations in recent years, and by 2042, it is predicted to have doubled or more. Since a few years ago, the use of innovative sustainable power sources to meet energy demands has been gradually increasing. We've chipped away at a different idea because of this. As an alternative energy source, renewable energy (RE) resources …
Published in International Journal of Electrical Power and Machine Systems · Vol. 1, Issue 2, 2023 · pp. 22–27 Read article
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AI-Based Criminal Identification System A Breakthrough Approach
Abstract: Identifying and locating a perpetrator is a time-consuming and difficult process. The perpetrators are growing more skilled, leaving no biological evidence or fingerprint impressions at the crime scene. Using cutting-edge face recognition technology is a quick and easy solution. Through the use of linear programming, this research presents an innovative approach to classifying all face tracks collectively. In addition to the following, it incorporates: a novel method for extracting more …
Published in International Journal of Mechanical Dynamics and Systems Analysis · Vol. 2, Issue 1, 2024 · pp. 1–14 Read article
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Crop Yield Prediction Using Machine Learning Algorithm Based on Climate Variables
Abstract: India's economy is based primarily on agriculture, as over 50% of the country's population depends on it for their livelihood. The long-term viability of agriculture is seriously threatened by variations in the weather, climate, and other environmental factors. Because machine learning provides tools for decision assistance in agricultural yield prediction, including guidance on which crops to plant and when to plant them during the growing season, it is essential to …
Published in International Journal of Cheminformatics · Vol. 1, Issue 2, 2023 · pp. 49–52 Read article
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Innovative Eyewear for the Visually Impaired
Abstract: Object detection systems are essential tools for identifying and locating objects within images or videos. When integrated into spectacles or wearable devices, these systems provide users with real-time information about objects present in their surroundings. This functionality serves diverse purposes, such as assisting visually impaired individuals in navigating their environment or offering augmented reality data to workers during tasks. Region-based Convolutional Neural Networks (RCNN) represent a prominent machine learning model …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 1, 2024 · pp. 27–34 Read article
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Machine Learning Approaches in Breast Cancer Diagnosis: Current Trends and Future Perspectives
Abstract: Since cancer is still one of the world's top causes of death, precise and effective detection techniques must be developed. Machine learning (ML) approaches have shown promise in recent years for enhancing cancer prognosis and detection. This paper presents a comprehensive review of the application of ML in cancer detection, focusing on various modalities including medical imaging, genomic data, and clinical records. We highlight the challenges associated with traditional cancer …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 1, 2024 · pp. 14–20 Read article
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Advancements in Handwriting Recognition: A Deep Learning Approach
Abstract: This article provides detailed information about handwriting text recognition. Some human characteristics are unique to the individual. Writing is one of the scientifically proven habits that is different for everyone. Handwriting Text Recognition (HTR) is responsible for identifying written characters and converting them into digital text. HTR is an intensively researched area, but improvements can still be made in accuracy and efficiency. Digitization of manuscripts is very useful in today's …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 1, 2024 · pp. 28–34 Read article
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Total Lipids and Storage Quality of Oil Seeds and Nuts as Influenced by Yeast Fermentation
Abstract: Oilseeds and the products made from them have a role in a healthy balanced diet, even though they are energy dense and contain a high proportion of fat. Most oilseeds are made up of protein and oil. In general, fat is 18–45% by weight of oilseeds and protein is about 16–40%. Fluctuations in oil yields can cause significant fluctuations in their rates. The oils contain fat-soluble vitamins and unsaturated fats …
Published in International Journal of Fungi · Vol. 1, Issue 2, 2024 · pp. 29–35 Read article
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Innovative CNN Strategies for Superior Handwritten Digit Recognition
Abstract: Handwritten digit recognition is a fundamental problem in the field of computer vision and machine learning with numerous applications, such as postal code recognition, bank check processing, and digitizing historical documents. Convolutional Neural Networks have demonstrated remarkable success in various image recognition tasks, making them a popular choice for digit recognition. In this study, we present an enhanced approach to handwritten digit recognition using CNNs. Handwritten digit recognition plays a …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 2, Issue 1, 2024 · pp. 27–34 Read article
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Advances in Non-Invasive NIR-Techniques for Gout Detection and Measurement
Abstract: Recent advancements in non-invasive near-infrared (NIR) spectroscopy techniques have significantly improved the detection and measurement of gout, a common form of inflammatory arthritis. Traditional diagnostic methods for gout, such as joint aspiration and crystal analysis, are invasive and can be uncomfortable for patients. In contrast, NIR spectroscopy offers a promising alternative by enabling real-time, non-invasive assessment of uric acid levels and related biomarkers associated with gout. The integration of portable …
Published in International Journal of Toxins and Toxics · Vol. 2, Issue 1, 2025 · pp. 1–8 Read article
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Natural Occurrence and Isolation of Ampelomyces quisqualis (mycoparasite) Associated with Rose, Other Powdery Mildew Infecting Host Plants in Himachal Pradesh, India
Abstract: The presence of Ampelomyces spp. was quantified in naturally occurring powdery mildew infecting rose plants during the year 2015–2016. Powdery mildew infected rose samples were collected from the different rose-growing areas of Himachal Pradesh during the months of April–June and September–November. Relationships between Ampelomyces and Podosphaera pannosa were reported in four areas between September and November. Bilaspur, Mandi, Shimla, and Solan. However, there was no occurrence of Ampelomyces quisqualis in …
Published in International Journal of Fungi · Vol. 1, Issue 2, 2024 · pp. 23–28 Read article
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Secondary Metabolites in Drug Development: Tracing Their Historical and Therapeutic Impact
Abstract: Secondary metabolites, also known as natural products, exhibit a level of structural and chemical diversity unmatched by synthetic small molecule libraries. These compounds, which have evolved to possess drug-like properties, continue to be a primary source for new medications and drug leads. Their discovery has significantly impacted advancements in chemistry, biology, and medicine, influencing drug development and therapeutic strategies throughout history. Derived from primary metabolic pathways such as photosynthesis, glycolysis, …
Published in Emerging Trends in Metabolites · Vol. 1, Issue 2, 2024 · pp. 51–55 Read article
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SiRNA-Based Multivalent Vaccines: A Systematic Review of Potential Risks, Benefits, and Future Applications
Abstract: Background: Small interfering RNA (SiRNA) technology represents a promising innovation in vaccine development, especially for multivalent vaccines that can target multiple pathogens or antigenic variants simultaneously. siRNA-based vaccines offer a unique mechanism to induce specific immune responses, presenting an adaptable and potentially powerful tool for tackling infectious diseases and cancer. Methods: This systematic review synthesizes recent studies on siRNA multivalent vaccines, focusing on their immunogenicity, safety, and effectiveness. We reviewed …
Published in International Journal of Vaccines · Vol. 2, Issue 1, 2025 · pp. 43–49 Read article
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Exploring the Role of Ginkgo biloba in Investigating 7L1X in Triple-Negative Breast Cancer Through Integrative Bioinformatics
Abstract: Objectives: Triple-negative breast cancer is a very dangerous form of cancer that affects mostly Hispanic and African American women above the age of 40. It represents approximately 15–20% of the global cancer incidence. This experiment aims to investigate the use of Gingko biloba in the treatment of the disease triple-negative breast cancer. Methods: We use a variety of online tools, and websites, including the Indian Medicinal Plants, Phytochemistry, and Therapeutics …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 2, 2024 · pp. 1–10 Read article
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The Role of Precision Agriculture in Enhancing Horticultural Crop Yields
Abstract: This article explores the quantification of lithium and mapping of mineral composition in crushed lithium ore utilizing two distinct calibration techniques with Laser-Induced Breakdown Spectroscopy (LIBS). Thirty samples from a pegmatite lithium deposit were analyzed, with representative mineral samples extracted, mixed with resin, and polished into disks. These disks underwent examination via an analyzer and an integrated mineral analyzer, facilitating mineral identification. The first calibration technique used empirical mineral chemistry …
Published in International Journal of Trends in Horticulture · Vol. 1, Issue 1, 2024 · pp. 18–23 Read article
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Deep Learning Applications in Bone Fracture Detection for Improved Radiographic Diagnostics
Abstract: Bone fracture detection is a critical aspect of medical diagnostics, traditionally relying on manual interpretation of radiographic images by experienced radiologists. This discipline has undergone a revolution with the introduction of machine learning (ML), which can improve accuracy, shorten diagnosis times, and lessen human error. This study investigates the use of different machine learning methods to enhance and automate the identification of bone fractures in radiography pictures. We utilized a …
Published in International Journal of Optical Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 17–22 Read article
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Role of Centella asiatica in Alzheimer’s Disease: A Comprehensive Review
Abstract: Alzheimer's disease (AD) is a progressive neurological illness that causes cognitive decline and memory loss and affects millions of people worldwide. As synthetic medications often prove ineffective or cause severe side effects, natural remedies are gaining attention. This review explores the potential of Centella asiatica, a herb traditionally used in oriental medicine, in the treatment of Alzheimer's disease. Triterpenoids, asiaticoside, and madecassoside are among the bioactive substances found in Centella …
Published in International Journal of Brain Sciences · Vol. 1, Issue 2, 2024 · pp. 1–7 Read article
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Innovations in Plant Biotechnology: Transforming Horticulture for a Sustainable Future
Abstract: The increasing global demand for sustainable energy sources has intensified interest in biofuels, particularly those derived from algae. Algae-based biofuels offer a promising alternative to traditional fossil fuels due to their high lipid and oil content, rapid growth rates, and adaptability to diverse environments. This review article examines the potential of algae as a biofuel source, focusing on recent advancements in algal cultivation, lipid extraction, and biofuel production technologies. Population …
Published in International Journal of Trends in Horticulture · Vol. 1, Issue 2, 2024 · pp. 24–28 Read article
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Genetic Authentication of Acacia Senegal (L.) Wild
Abstract: A study was carried out to ascertain the taxonomic identity and phylogenetic lineage of three presumed Acacia senegalensis using molecular markers. Three (3) varieties of seeds presumed to belong to Acacia spp. were collected from the Rubber Research Institute of Nigeria (RRIN) Benin City and three BP haplotypes (A, B, and C) was used as control for the analysis. These seeds were processed at the Applied Biotech International Laboratory Nigeria …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 2, Issue 2, 2024 · pp. 33–39 Read article
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New Insight into the Composition and Structure of Sizing Agent from NMR Spectroscopy
Abstract: Sized carbon fibers (CFs) are of commercial significance as they form the main load-bearing component in advanced materials, namely, carbon fiber-reinforced plastics (CFRPs). Much of the knowledge of sizing composition and the process of sizing is a subject of intellectual property rights owing to its commercial relevance. In this original research article, deeper insights into the structure and composition of the sizing agent used for the surface modification of commercial …
Published in International Journal of Photochemistry and Photochemical Research · Vol. 2, Issue 2, 2024 · pp. 06–23 Read article
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In-Silico Studies of Phytochemicals from Allium sativum with H5N1 Protein in Avian Influenza
Abstract: Allium sativum or garlic is a medicinal plant that is reported for its applications in many biological activities, such as its antiviral, antidiabetic, and anti-inflammatory properties, etc. In this paper, the focus has been the identification of potential phytochemicals that can be extracted from Allium sativum that can act as a candidate for drug formation that possesses the capability to inhibit the H5N1 Avian Influenza, a type of highly pathogenic …
Published in International Journal of Bioinformatics and Computational Biology · Vol. 2, Issue 2, 2024 · pp. 50–60 Read article