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502 articles for “Ear Identification”
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Prioritization, Characterization and Geo-spatial Location of River Training Structures for Vrishabhavathi River using GIS Techniques
Abstract: Bengaluru drainage characteristics of natural catchments have drastically altered due to unplanned urbanization, increasing volume and rate of surface runoff. The frequent blockage of drainage system due to indiscriminate disposal of solid waste, encroachment of wetlands and increasing volume of flow makes coping up and worsening the present drainage systems. These problems of urban floods can be prevented by taking necessary precautions in places where these urban floods could occur. …
Published in Journal of Remote Sensing & GIS · Vol. 8, Issue 3, 2017 · pp. 33–45 Read article
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Sustainable and Smart Solutions Utilizing Feature Descriptors Analysis
Abstract: Neighborhood highlight locators and descriptors (hereinafter extractors) play a key part within the cutting-edge computer vision for developing smart solutions. Their scope is to extricate, from any picture, a set of discriminative designs (hereinafter key points) show on a few parts of foundation and/or closer view components of the picture itself. A prerequisite of a wide run of down to earth applications (e.g., vehicle following, individual re-identification) is the plan …
Published in Journal of Electronic Design Technology · Vol. 13, Issue 3, 2022 · pp. 35–40 Read article
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Analysis of Cost and Schedule Performance of Residential Building Projects by EVM Technique
Abstract: Earned value management (EVM) is a project control technique which provides a quantitative measure of work performance by cost and schedule monitoring. It involves a crediting (earning) of budget as scheduled work is performed. The EVM technique is a proven method to evaluate work progress in order to identify schedule slippage and areas of budget overruns. Value earned for a given task is computed as budgeted cost of work performed …
Published in Journal of Construction Engineering, Technology & Management · Vol. 4, Issue 1, 2014 · pp. 1–7 Read article
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Early Pregnancy Levels of Fasting Glucose, HbA1c, and Adiponectin as Predictors of Gestational Diabetes Mellitus Among Pregnant Women in Tamil Nadu, India
Abstract: Background: Gestational diabetes mellitus (GDM) is rapidly becoming a major public health issue across India, and Tamil Nadu continues to report some of the country’s highest incidence figures. Identifying women at elevated risk during the first trimester allows health workers to intervene early and improve outcomes for both mothers and babies. This research, therefore, examines whether fasting plasma glucose, glycated haemoglobin, and adiponectin measured at that initial visit can reliably …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 15, Issue 2, 2026 · pp. 10–18 Read article
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Innovations in Targeted Drug Discovery for Personalized Medicine
Abstract: Personalized medicine is revolutionizing modern healthcare by custoizing treatment plans to match an individual’s genetic makeup, protein expression, and metabomlic characteristics. Also referred to as precision medicine, this approach seeks to improve therapeutic outcomes, reduce adverse effects, and make efficient use of healthcare resources. The incorporation of various omics technologies—including genomics, proteomics, transcriptomics, metabolomics, and epigenomics—has greatly advanced our ability to understand disease biology and molecular variations specific to each …
Published in Research & Reviews: A Journal of Drug Design & Discovery · Vol. 12, Issue 3, 2025 · pp. 19–41 Read article
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Land Degradation Mapping Using Integration of Remote Sensing and Geographic Information Systems in Maricá, Rio de Janeiro, Brazil
Abstract: The purpose of this paper is to study the growing problem of soil erosion in the municipality of Maricá, Rio de Janeiro, Brazil. The study area has an excellent agricultural condition. However, due to human and natural factors, water erosion is becoming a major problem. Therefore, new approaches are needed to determine soil degradation not only for the identification of hotspots, but also to identify areas prone to degradation to …
Published in Journal of Remote Sensing & GIS · Vol. 15, Issue 3, 2024 · pp. 45–56 Read article
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Machine Learning Assisted Timing Violation Prediction in Sub-7nm VLSI Physical Design
Abstract: The continuous scaling of semiconductor technology into the sub-7nm regime has introduced significant challenges in timing closure due to process variability, interconnect delay, power density, and manufacturing uncertainties. Conventional static timing analysis techniques often require extensive computational resources and iterative optimization cycles, resulting in increased design complexity and longer turnaround time. This research proposes a Machine Learning Assisted Timing Violation Prediction framework for sub-7nm VLSI physical design to improve early-stage …
Published in International Journal of VLSI Circuit Design & Technology · Vol. 4, Issue 1, 2026 Read article
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A Method to Produce a GIS Database of Asphalt Polymer Pavement Distress of National Highway
Abstract: Bitumen, often referred to as asphalt in its solid form, is a complex mixture of organic compounds derived from the distillation of crude oil. Its chemical composition varies depending on its source, processing methods, and intended application. Pavement surface monitoring is an important part to increase the life of pavement and to minimize the cost incur in maintenance of pavement at an early stage. Traditionally pavement monitoring done using manually …
Published in Journal of Polymer & Composites · Vol. 13, Issue 1, 2025 · pp. 99–108 Read article
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Discernment of Parkinson’s disease using Machine learning
Abstract: Parkinson’s disease is one of the most common neurological disorders in the world that is caused when the cells in the brain that are responsible for the creation of dopamine breakdown and as a result less dopamine is produced .The cells in the brain that create dopamine are in charge of movement regulation, adaptability, and fluency. Since researchers believe that the disease starts developing many years before the motor (movement-related) …
Published in Journal of Microcontroller Engineering and Applications · Vol. 9, Issue 2, 2022 · pp. 14–19 Read article
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Periodical Health Screening for Nuclear Radiations: Right Step Towards Total Medicare
Abstract: Normal 0 false false false EN-US X-NONE X-NONE MicrosoftInternetExplorer4 Nuclear radiation has been the subject of scientific investigation since radioactivity was discovered by Henry Becquerel. This quest has led to harnessing nuclear radiations for the benefit of mankind in the fields of medicine, agriculture, industry and for production of electricity necessary for development. Nuclear fuel complex (NFC), an industrial unit under the department of atomic energy (DAE) located at Hyderabad …
Published in Journal of Energy, Environment & Carbon Credits · Vol. 5, Issue 3, 2015 · pp. 13–17 Read article
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DNA Barcoding
Abstract: DNA barcoding system is a promising approach towards the diagnosis of biological diversity using DNA sequences as a primary key for retrieval of genetic information. It is emerging as a standardised method for mapping various species on the earth. DNA barcoding is a tool for identification of new species, conservation of endangered species and clustering of various species under a particular group. Many databases have been developed across the globe …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 3, Issue 1, 2016 · pp. 9–13 Read article
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A Study to Assess the Risk Factors Associated with Sudden Death in Population on Hemodialysis
Abstract: Background: Patients with chronic kidney disease (CKD) receiving maintenance hemodialysis (HD) experience disproportionately high mortality, with sudden death remaining a leading cause. Multiple clinical, biochemical, and care-related factors influence outcomes, yet comprehensive risk stratification models and the role of dialysis timing and early nephrology care remain inadequately explored in resource-limited settings. Objectives: This study aimed to (i) identify clinical and biochemical risk factors associated with mortality in HD patients, (ii) …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 16, Issue 1, 2026 · pp. 14–19 Read article
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Analysis for Respiratory Transmittable Diseases via Mass Spectrometry
Abstract: Microbial identification in clinical diagnostic laboratories has mainly relied on conventional phenotypic and gene sequencing identification techniques. The development of matrix-assisted laser desorption ionization time-of-flight mass spectrometry (MALDI-TOF MS) devices has revolutionized the repetitive identification of microorganisms in clinical microbiology laboratories by introducing an easy, rapid, high throughput, low-cost, and effective identification technique. This technology has been modified to the restraint of clinical diagnostic laboratories and has likely to replace …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 7, Issue 1, 2017 · pp. 26–30 Read article
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Vulnerability Assessment for Identification of Vulnerable Reaches for Flood, Riverbank Erosion, and Landslide in Himachal Pradesh, India
Abstract: Himachal Pradesh state is very vulnerable to flash floods, landslides, and riverbank erosion. Efforts have been made to develop a tool that can predict these disasters before the event, so that the authorities can take the protection measures. A web-enable vulnerability assessment tool has been developed for identification of vulnerable reaches for flood, riverbank erosion, and landslide in Himachal Pradesh. Historical excessive rainfall events, flash floods events and its causes, …
Published in Journal of Remote Sensing & GIS · Vol. 14, Issue 1, 2023 · pp. 46–61 Read article
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AI-Driven Handwriting Identification and Verification Using Textural Features
Abstract: The last few decades have seen handwriting recognition and verification earn their mark in areas like forensics, healthcare, education, and digital security. This study delves into the role of artificial intelligence (AI), machine learning (ML), and deep learning techniques in handwriting analysis. It highlights the extraction of textural features as a precursor to identifying narrows between original handwriting and its forgery, whereby a few distinctive patterns such as stroke width, …
Published in International Journal of Electronics Automation · Vol. 3, Issue 1, 2025 · pp. 35–44 Read article
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An Efficient CNN Model for Automated Cotton Leaf
Abstract: Timely and accurate identification of cotton leaf diseases are essential for maintaining healthy crop production and minimizing agricultural losses. Early detection allows farmers to take preventive or corrective measures, reducing the risk of disease spread and improving overall yield. In this study, we propose a Convolutional Neural Network (CNN) based model for the automated classification of cotton leaf diseases using image-based detection techniques. The model is trained on a diverse …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 14, Issue 3, 2025 · pp. 01–10 Read article
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A Pre-Experimental Study to Evaluate the Effectiveness of a Self-Instructional Module on Knowledge Regarding Breast Self-Examination Among Adolescent Girls in Selected Higher Secondary Schools of Moradabad, Uttar Pradesh
Abstract: Breast cancer remains the most frequently diagnosed cancer among women worldwide and is a major cause of death, with its incidence steadily rising in India. Detecting the disease at an early stage greatly enhances survival rates; however, many cases are identified late due to limited awareness and inadequate access to healthcare resources. Breast self-examination (BSE) is an easy, cost-effective practice that enables women to notice early changes in their breasts. …
Published in International Journal of Oncological Nursing and Practices · Vol. 4, Issue 1, 2026 · pp. 30–36 Read article
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An Effective Convolutional Neural Network for Identifying Cancer Blood Disorder Cells Using Microscopic Images
Abstract: Blood, bone marrow, and lymphatic systems are all impacted by hematological cancer is known as a cancer blood disorder. Blood malignancies and various blood disorders pose significant health challenges across all age groups. Early disease detection is essential for effective cancer blood disorder treatment and management. If a blood cancer is not identified in time, it may be hazardous. It results in abnormal white blood cell production by the bone …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 2, 2024 · pp. 29–35 Read article
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Earned Value Technique is an Essential Project Management Tool to Prevent Cost Overrun
Abstract: The cost of construction projects has a long history of exceeding the planned cost. At the project level, this is termed as “Project Cost Overrun”. This research reviews the main critical factors of causing the cost overrun of the projects in the construction stage. These factors have been collected from previous literatures and studies to identify the reasons behind the inefficiency of the existed site cost monitoring and control system …
Published in Journal of Construction Engineering, Technology & Management · Vol. 5, Issue 1, 2015 · pp. 18–37 Read article
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Early Detection of Heart Disease using Machine Learning Techniques
Abstract: Coronary illness stays one of the main sources of death around the world. Exact expectations of coronary illness can altogether work on quiet results by empowering early intercession and customized treatment plans. Throughout the course of many recent years, AI (ML) methods have been extensively investigated for anticipating coronary illness, attribuFig to their remarkable capacity to analyze complex data patterns and generate precise predictions based on historical clinical records. With …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 12, Issue 3, 2025 · pp. 34–45 Read article