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623 articles for “identification key”
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Risk Assessment in Hybrid Cloud: A Systematic Research Methodology
Abstract: AbstractNow a days, Cloud computing has drawn a great attention towards the users of cloud as a tremendous result of its advantages. The latest prototype of computing infrastructure is cloud computing. It provides its services to different sectors of society like education, banking, research, governance, risk identification etc. This research focuses on overview of risk identification and governance withmultiple frameworks and standards available in hybrid cloud computing. This research work …
Published in Journal of Advanced Database Management & Systems · Vol. 5, Issue 3, 2018 · pp. 19–22 Read article
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Exploring Potential Phytochemicals for Myasthenia Gravis Treatment: A Molecular Docking and ADME Analysis Approach
Abstract: Objective: Muscle feebleness and exhaustion derived from a disruption in neuromuscular transference are hallmarks of the crippling autoimmune disease myasthenia gravis (MG). The drawbacks of the current MG therapy options are frequently partial efficacy and adverse effects. To investigate the potential of phytochemicals in MG control, in this work we integrated molecular docking with ADME (absorption, distribution, metabolism, and excretion) analysis using a computer method. We identified molecules exhibiting favorable …
Published in International Journal of Molecular Biotechnological Research · Vol. 2, Issue 2, 2024 · pp. 1–13 Read article
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Applying the XML-based Technique to Support Keyword Search in Graph Data
Abstract: Graphs have been important and proper structures to represent data with complex relationships in the Web, and keyword search provides a convenient way to querying graphs. Some researchers considered to return r-cliques as answers for keyword search in graph databases. Such concepts can retrieve meaningful information effectively, but the existing approach is computationally expensive. In this paper, we propose to utilize the efficient technique originally designed for keyword search in …
Published in Journal of Advanced Database Management & Systems · Vol. 1, Issue 2, 2014 · pp. 25–32 Read article
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Bioinformatics-based Characterization of Stress Tolerance Spermidine Synthase from Zea mays
Abstract: The response to sensing environmental stress by plants is very important and can be short term by the synthesis of some protecting molecules against stress or long term by expressing phenotypic plasticity with alteration of developmental programme. The ability to respond to abiotic stress represents the main constraint on maize production. The spermidine synthase genes (Zmspds1 and Zmspds2) in Zea mays genome were identified by the PCR amplification and expression …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 3, Issue 2, 2013 · pp. 26–33 Read article
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Deep Learning -Based Dental Issue Detection
Abstract: Dentistry is vital for preserving oral health, a key component of overall wellness. Early identification of dental issues is crucial for effective treatment and avoiding further complications. Conventional approaches to diagnosing dental problems typically depend on physical examinations and visual assessments by skilled professionals, which can be both time-intensive and influenced by individual judgment.In recent years, the application of deep learning algorithms has demonstrated significant potential in automating and enhancing …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 1, 2025 · pp. 18–23 Read article
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Prediction of Phishing Website using Visual Cryptography
Abstract: Phishing is a new type of social network attack. It is the act of attempting to acquire theinformation such as username, password, credit card details, etc. In this project, a newapproach named as “Image Captcha Based Authentication Using Visual Cryptography”to solve the problem of phishing is proposed. The string is converted into image captchausing the extracting and embedding method. The visual cryptography is used to preservethe privacy of image captcha …
Published in Journal Of Network security · Vol. 2, Issue 1, 2014 · pp. 28–33 Read article
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Gait Based Person Identification Using Kohonen Self-Organizing Mapping Technique
Abstract: Though gait recognition system has some special security features, it has some limitations like viewing angle variation, slow or fast walk and carrying a bag etc. This paper has an advantage of removing these limitations by using gait energy image with Kohonen self-organizing mapping technique. This model proposes the method that is developed by Partial least square (PLS) used for features selection and singular value decomposition (SVD) used for dimensionality …
Published in Current Trends in Information Technology · Vol. 5, Issue 2, 2015 · pp. 1–6 Read article
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Artificial intelligence and its uses in speech recognition
Abstract: Innovative technologies utilising artificial intelligence have transformed the way we live. Every sector of society has been significantly impacted by AI, which has swept through every industry. The term "artificial intelligence" was first used at a symposium in 1956. The conference's discussion on multidisciplinary information technology and natural language production. Technology advanced enormously as a result of the development of the internet. Thirty years ago, artificial intelligence technology was a …
Published in Journal of Mechatronics and Automation · Vol. 9, Issue 2, 2022 · pp. 46–49 Read article
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Evaluating Advancements and Identifying Research Gaps in Automotive Spare Parts Demand Forecasting
Abstract: The automotive industry, a key driver of global economic activity, relies heavily on the effective management of spare parts to ensure vehicle longevity and reliability. Accurate prediction of demand for these components is imperative to uphold ideal stock levels, minimize expenditures, and elevate customer contentment. This review of literature assesses recent progressions in demand prediction methodologies for automotive spare parts, with a specific emphasis on conventional statistical methods and contemporary …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 3, 2024 · pp. 47–58 Read article
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Smart Agriculture in India: Advancements in Image Processing for Automated Plant Disease Detection and Crop Analysis
Abstract: The adoption of image processing technologies in agriculture is emerging as a revolutionary method for tackling persistent challenges in the farming industry. These techniques are increasingly used for different tasks such as detecting plant diseases, assessing crop health, and predicting yields, especially in the framework of smart agriculture systems. This study paints a detailed picture of the latest progress in image processing techniques applied to automated disease detection and detailed …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 3, 2025 · pp. 13–19 Read article
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Geospatial Measurement of Shrinking Lake Mead Using Multi-Temporal Datasets From 1987 to 2020 and Its Relationship with the Climate Change
Abstract: The study provides an overview of the relation between climate change and its harsh consequences, and thereby revealing evidence of extremes conditions such as drought. Lake Mead of USA is one such example which is a readily contracting lake. The reason is fast temperature increment, human exploitation, etc. therefore leading to jeopardized and devastating effects on life structure. GIS and Remote Sensing has emerged as an extraordinary key instrument for …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 2, 2024 · pp. 18–27 Read article
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Immune Dysregulation and Cytokine Circuitry in Genital Endometriosis: Mechanistic Insights and Next-Generation Immunotherapeutic Strategies
Abstract: Genital endometriosis is increasingly recognized as an immune-mediated inflammatory disorder driven by complex interactions between dysregulated immune cells, cytokine hubs, and microbiome-derived modulators. This review introduces a novel “immune–cytokine circuitry” framework that unifies innate and adaptive immune abnormalities with key cytokine loops sustaining chronic inflammation, angiogenesis, neuroinflammation, and immune tolerance. Within this circuitry, macrophage polarization, dendritic cell immaturity, NK-cell anergy, Treg expansion, Th17 amplification, and B-cell–mediated autoimmunity converge to establish …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 1, 2026 · pp. 06–16 Read article
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Epidemiology and transmission of infectious diseases study using Machine learning
Abstract: Infectious diseases remain a formidable global health challenge, characterized by rapid evolution and complex transmission dynamics that often outpace traditional epidemiological surveillance and response mechanisms. This study investigates the transformative potential of machine learning (ML) methodologies to enhance our understanding and prediction of infectious disease epidemiology and transmission. Leveraging diverse datasets—including clinical records, genomic sequences, environmental factors, social mobility data, and real-time digital footprints—we studies and presented various ML models …
Published in International Journal of Pathogens · Vol. 2, Issue 2, 2025 Read article
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Improved Prediction of Fluid Contacts using Calibrated Material Balance Models
Abstract: The demand for oil has been on the high in the recent past and will continue as search for sustainable alternative energy sources intensifies. The exploration and exploitation of oil from subsurface reservoirs have posed several environmental challenges which include flaring and improper water disposal to name a few, caused by excessive production of gas and water. Hence, it is important to establish a reservoir performance monitoring scheme that will …
Published in Journal of Petroleum Engineering & Technology · Vol. 4, Issue 2, 2014 · pp. 25–36 Read article
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A Systematic Review on Nigerian Wetland Ecosystems
Abstract: Nigeria wetlands cover varied coastal, riverine and inland systems that provide essential ecosystem services, including the provisioning of resources, carbon sequestration, flood regulation and biodiversity support. This systematic paper review combines findings from 35 peer-reviewed papers, book chapters and empirical studies identified through Google Scholar searches using the keyword phrase “Nigerian Wetlands ecosystem”. Papers were selected if they explicitly addressed wetland distribution, ecology, services, threats or its management within Nigeria. …
Published in Research & Reviews : Journal of Ecology · Vol. 15, Issue 2, 2026 · pp. 31–37 Read article
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Synthesis and Characterization of Zinc-doped CdO Nanopowder Prepared by Mechanochemical Method
Abstract: Zinc-doped cadmium oxide nanopowders with various Zn concentrations have been prepared using mechanochemical method. The structure and morphology of the as-prepared samples are investigated by means of X-ray diffraction (XRD), Scanning electron microscopy (SEM) and Energy dispersive spectroscopy (EDS). The XRD result indicates that the average size of Zn-CdO powder is in nano range having a desired cubic phase. Surface morphology of sample is determined by scanning electron microscopy (SEM) …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 17, Issue 1, 2015 · pp. 26–31 Read article
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Studies on the Proximate Composition of Yogurt Enriched with Pink Guava Powder
Abstract: Dietary fiber and bioactive chemicals, which have been extensively investigated for their potential health advantages, have recently found new uses in the food and dairy industries. Taking into account the present surge in demand of consumers, an effort is made to increase the nutritional parameter of yogurt, notably the amount of dietary fiber, by the incorporation of freeze-dried pink guava powder (FPGP). The yogurt was made by varying its concentration …
Published in Research and Reviews : Journal of Dairy Science and Technology · Vol. 12, Issue 1, 2023 · pp. 1–12 Read article
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Molecular Pharmacokinetics and Structural Docking of Phenolic Acids for Targeting NF-κB Pathway Components in Inflammation and Fibrosis: A Computational Approach Toward Therapeutic Discovery
Abstract: Inflammation and Fibrosis are critical pathological processes associated with various chronic diseases, often mediated by the nuclear factor kappa-light-chain-enhancer of activated B cells (NF-κB) signaling pathway. This study investigates the therapeutic potential of phenolic acids as modulators of the NF-κB pathway, aiming to identify novel ligands that can effectively interact with key components of this signaling cascade. A comprehensive computational approach was employed, utilizing molecular docking, pharmacological screening, and post-docking …
Published in International Journal of Cell Biology and Cellular Functions · Vol. 3, Issue 1, 2025 · pp. 14–31 Read article
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Hybrid Feature Selection Approach for Stability Prediction for Intracerebral Hemorrhage Patients
Abstract: Intra Cerebral Hemorrhage (ICH) stability estimation is useful for enhancing diagnosis accuracy, selecting the best course of treatment, and clinically evaluating variations with healthy individuals. Due to their low predictive value, the clinical application of several ICH progression scoring systems is constrained. The dataset includes clinical parameters including age, Glasgow Coma Scale (GCS), and CT Angiography (CTA) spot that have been retrieved using geometric features from the segmented bleeding volume …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 9, Issue 2, 2022 · pp. 9–17 Read article
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AI Based Virtual Mouse Using Hand Gestures
Abstract: The field of human-computer interaction has advanced significantly over the last several years. To incorporate the use of a mechanical mouse for controlling the mouse pointers with hand gestures and color recognition, we employed a Human-Computer Interaction technique in this project. Object identification, image processing, and color recognition are the three key areas in which our project's suggested technologies are applied. In this project, we will demonstrate a revolutionary method …
Published in Current Trends in Signal Processing · Vol. 13, Issue 2, 2023 · pp. 1–7 Read article