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509 articles for “Ear Identification”
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U-Net Based Approach for Automated Brain Tumor Classification
Abstract: Brain tumor detection and identification play vital roles in diagnostic procedures in the field of medicine, with the conventional analysis of MRI images requiring a lot of time and also subject to variability. The proposed study involves the use of a CNN-U-Net based approach for brain tumor detection and identification automatically. The study uses a database of 3,064 contrast-enhanced T1-weighted MRI images from 233 patients with the tumors of meningioma, …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 2, 2025 Read article
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A Comprehensive Review on Long-term Care Policies for Intellectual and Developmental Disabilities
Abstract: Intellectual disability (ID) is a neurodevelopmental difficulty that affects both intellectual functioning and adaptive behaviour. The term IDD describes a broad range of long-term disorders that are caused by either physical or mental deficits. These disorders can influence numerous facets of life, such as self-care, social skills, communication, and education. This condition affects social and practical abilities daily. Conditions like cerebral palsy, Down syndrome, and autism spectrum disorder, Genetic predispositions, …
Published in International Journal of Trends in Humanities · Vol. 1, Issue 2, 2024 · pp. 36–42 Read article
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COVID-19 Resurgence in 2025: India’s Continuing Public Health Challenge
Abstract: The year 2025 has witnessed the resurgence of COVID-19, reigniting concerns at both global and national levels regarding the persistent threat posed by SARS-CoV-2. In early 2025, India witnessed a moderate resurgence of COVID‑19, characterized by the emergence of Omicron sub-variants and a rise in mild-to-moderate infections. As of mid-June, active COVID‑19 cases in India totaled approximately 6,000–7,400, with hotspots in Kerala (~2,100 cases), Delhi (~600), Maharashtra (~500), and several …
Published in International Journal of Tropical Medicines · Vol. 2, Issue 2, 2025 · pp. 16–23 Read article
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Experimental and Process Optimization Study on Thermal Stress Reduction in TiC–Steel Brazed Joints Using Polymer-Derived Composite Interlayers
Abstract: In this, an experimental investigation aimed at reducing crack formation due to thermal stress in TiC-steel brazed joints through optimization of key process parameters is presented. The primary objective was to develop an integrated and reliable brazing strategy by examining the effects of filler material selection, brazing gap, cooling conditions and type of flux. In this study, polymer-derived composite interlayers were developed through controlled synthesis and nanocomposite engineering to mitigate …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 524–540 Read article
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Impact of Vaccine Awareness Campaigns on Pharmacovigilance Reporting and Public Safety Monitoring
Abstract: Vaccination programs have significantly contributed to the reduction of infectious diseases worldwide; however, their success is closely tied to public confidence and robust safety monitoring systems. Pharmacovigilance plays a critical role in identifying, assessing, and preventing adverse events following immunization (AEFI). In recent years, vaccine awareness campaigns have emerged as a pivotal strategy to improve public knowledge, reduce vaccine hesitancy, and enhance reporting of adverse drug reactions (ADRs). This review …
Published in International Journal of Vaccines · Vol. 3, Issue 2, 2026 · pp. 1–14 Read article
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Change of Capacitance in Cancerous Cell
Abstract: Cancer is a genetic disease. It is characterized by out of control growth of cell. It harms the body with its uncontrollable growth. Tumors that do not spread and show limited growth are generally considered to be benign. More dangerous are malignant tumors which can manage to divide and grow. They may be very dangerous and may cause death. Early detection of the disease helps in treatment and may save …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 4, Issue 1, 2015 · pp. 29–32 Read article
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Smart Education through Machine Learning: A Review of Trends, Benefits, and Risks
Abstract: Machine learning (ML) is transforming the contemporary education by transforming it into smarter, data-driven and personalised learning. This review examines the key tendencies, advantages, and possible threats of applying ML in intelligent education. ML promotes adaptive learning, automatization of assessments, and student engagement, which is highly beneficial both to learners and educators. Nonetheless, issues like data privacy, algorithmic bias or unequal access are also a significant concern. The article emphasises …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 24–28 Read article
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Multinomial classification Identification for Domestic Violence Virtual Posts Based on Improved Convolution Neural Network (ICNN)
Abstract: AbstractDomestic violence isn’t only about the physical violence but further any conduct the purpose of which is to gain power and manage over a spouse, partner, girl/boyfriend or intimate own circle of family member which leads to the violation of human rights. Through the web-based networking media domestic violence crisis support (DVCS) have demonstrated fundamental help directions to abused people and their families. The unrivaled outcomes in online content description …
Published in Journal Of Network security · Vol. 8, Issue 3, 2020 · pp. 1–10 Read article
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Diabetes Prediction Using ML Techniques
Abstract: Diabetes mellitus, commonly referred to as diabetes, denotes a cluster of prevalent endocrine disorders characterized by persistent elevated levels of blood sugar. Diabetes is classified into two main types: type 1 and type 2. Type 1 diabetes arises when the body is unable to produce insulin, while type 2 diabetes involves either insulin resistance or insufficient insulin production. Early detection and intervention are essential to reduce its harmful impacts. The …
Published in Research & Reviews: A Journal of Bioinformatics · Vol. 11, Issue 3, 2024 · pp. 1–9 Read article
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A Systematic Review on Leukemia Detection and Classification Techniques Using Gene Expression
Abstract: Early diagnosis of genetic diseases is crucial for effective treatment, especially in the case of Leukemia, a type of blood cancer characterized by abnormal proliferation of white blood cells. This paper presents a systematic review of recent computational techniques for the detection and classification of Leukemia using gene expression data obtained from DNA microarray analysis. The study explores diverse methodologies including machine learning (ML), deep learning (DL), and bio-inspired algorithms …
Published in International Journal of Genetic Modifications and Recombinations · Vol. 3, Issue 2, 2025 Read article
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An overview on the diagnosis and approaches in pharmacological management of Parkinson’s disease
Abstract: Parkinson’s disease (PD) might be a mutual neurodegenerative disease considered by a movement disorder containing rest tremor, bradykinesia, rigidity, and postural instability, and second-leading reason of dementia and is categorized by an advanced loss of dopaminergic neurons within the neural structure alongside the occurrence of intraneuronal α-synuclein-positive enclosures. PD is identified where bradykinesia happens along with rigidity or tremor within the existence of supporting features. The diagnosis is clinical, and …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 11, Issue 1, 2021 · pp. 1–8 Read article
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Pothole Detection utilising Machine Learning: A Review
Abstract: Potholes must be found and fixed quickly in order to maintain infrastructure, maximize transportation systems, and guarantee road safety. Using the Sequential API and the Keras library, this study presents a neural network model for pothole detection. Convolutional layers with ReLU activation, global average pooling, dense layers with dropout, and softmax activation for binary classification make up the model architecture. Image loading, resizing, array conversion, labeling, shuffling, normalization, and one-hot …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 1, 2025 · pp. 35–43 Read article
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Olfactory Biometric Technique: An Emerging Technology
Abstract: Now-a-days authentication becomes a part of our daily life. Biometric authentication or, simply, biometrics refers to the method of using the physiological or behavioral characteristics to determine or verify one’s identity. Many of the systems require reliable personal recognition approaches to either identify or determine an individual by requesting their services. The purpose of such approaches is to ensure that whether the rendered services are accessed only by a legitimate …
Published in Journal of Advancements in Robotics · Vol. 1, Issue 1, 2014 · pp. 1–11 Read article
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Evaluation of Thirteen Selected Tomato (Lycopersicon esculentum Mill) Cultivars for Morphology and Fruit Yield in Southwest Nigeria
Abstract: Assessing the morphology and fruit yield of some grown tomato (Lycopersicon esculentum Mill) cultivars from southwestern Nigeria is needed to identify and promote highly performing varieties for tomato industry. Thirteen tomato cultivars predominantly grown by farmers were collected from farmer’s field across five states in the southwest region of Nigeria. Multisampling procedure was adopted to randomly and purposively select the respondents from the five states. Seedlings of the cultivars were …
Published in Research and Reviews : Journal of Crop science and Technology · Vol. 5, Issue 3, 2016 · pp. 1–7 Read article
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Making World as More Green and Healthy using Data Mining Techniques
Abstract: AbstractTrees are vital. As the biggest plants on the planet, they give us oxygen, store carbon, stabilize the soil and give life to the world's wildlife. A study from 2017 reveals the information that more than 150 acres lost every minute of every day, and 78 million acres lost every year, yet there is no proper technical solution to identify the places of deforestation and to plant trees on those …
Published in Journal of Computer Technology & Applications · Vol. 10, Issue 1, 2019 · pp. 17–22 Read article
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Evaluation of Shear Walls and Bracings in Irregular Buildings Under Seismic Load
Abstract: The structural integrity and stability of irregular buildings under lateral forces such as wind and seismic loads pose significant challenges in modern construction practices. Irregularities in a building & geometry and mass distribution can lead to uneven force distribution, making the structure more vulnerable to lateral displacement and potential failure. To enhance the resilience of such structures, shear walls and bracing systems are commonly employed to improve lateral load resistance. …
Published in Journal of Structural Engineering and Management · Vol. 12, Issue 2, 2025 · pp. 22–28 Read article
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Landuse Planning and Groudwater resource Management: Using DRASTIC model for Surat, India
Abstract: AbstractWater is known to be a precondition for human, animal and plant life. Being one of the comparatively reliable and safe sources for drinking purpose, it also provides various ecological services and is the backbone for life supporting system on the earth. Groundwater is one of the major sources of replenish-able water on the earth and constitutes approximately 30.1% of liquid fresh water whereas nearly 70 percent is locked within …
Published in Journal of Water Pollution & Purification Research · Vol. 4, Issue 1, 2017 · pp. 4–16 Read article
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Utilizing circulation-derived cancer cells to evaluate patients with surgically treated stages I–IIIA NSCLC throughout the preoperative phase
Abstract: Context: When a tumor is considered resectable, surgery is viewed as the primary treatment approach for both early-stage and locally advanced non-small cell lung cancer (NSCLC). One of the most exciting areas of cancer research in the past ten years is liquid biopsy, which offers a practical non-invasive method for cancer detection and tracking. Circulating tumor cells (CTCs) have been linked to a worse prognosis and increased chance of relapse …
Published in Research and Reviews : Journal of Surgery · Vol. 13, Issue 3, 2024 · pp. 17–28 Read article
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Investigating Factors Associated to Speech and Language Development Problem Among Under-five Children in Bangladesh: A Cross-Sectional Study
Abstract: Speech and Language Delay (SLD) is a developmental disorder characterized by a lag in a child's acquisition and use of spoken language compared to typical developmental milestones. It is a significant developmental concern with profound implications for cognitive, social, and academic outcomes. The objective of this study is to explore the factors associated to SLD in children and early intervention of the problem to support the children who need special …
Published in International Journal of Children · Vol. 2, Issue 2, 2025 · pp. 1–12 Read article
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Study on Fiber Reinforced Composite Material Cost in Construction Project
Abstract: The primary goal of this research paper is to identify the major causes of fibre reinforced composite material cost overruns in Indian construction projects, as well as the critical success factors that aid in the avoidance of such costs. The critical success factors is reviewed by existing literature. They are used to generate survey and interview questions. The fiber reinforced materials projects using proposed hypothesis and lack of certain critical …
Published in Journal of Polymer & Composites · Vol. 13, Issue 2, 2025 · pp. 459–466 Read article