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175 articles for “Age Detection”
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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
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Genetic Detection of Hepatitis C -Virus and Occult Hepatitis B in Patients from Al-Najaf Al-Ashraf Governorate, Iraq.
Abstract: Recently, a noticeable increase in the prevalence of occult Hepatitis B virus (HBV) and Hepatitis C virus (HCV) infections has been observed among clinical cases such as patients undergoing hemodialysis, blood transfusion, liver diseases, and thalassemia worldwide. To limit and control this spread, the present study was conducted to investigate and detect the molecular presence of HCV and occult HBV using the Nested PCR technique, as well as to observe …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 16, Issue 1, 2026 Read article
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Computer Aided Diagnosis of Breast Cancer using Machine Learning Techniques
Abstract: Breast cancer is one of the significant health problems that lead to early mortality in women, especially those between 40 and 55 years of age all over the world. In recent years, the number of breast cancer cases among women has risen significantly, making early and accurate diagnosis more important than ever. Computer-aided diagnostic (CAD) tools have become valuable in supporting radiologists by enhancing the precision of breast cancer detection. …
Published in Nano Trends – A Journal of Nano Technology & Its Applications · Vol. 27, Issue 2, 2025 · pp. 1–11 Read article
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Awareness and Impact of Education on Breast Self Examination Among Housekeeping Staffs (Class IV Workers)
Abstract: Breast cancer accounts for 19–34% of all cancer cases among women in India. There is high mortality due to lack of awareness and nonexistent breast cancer screening programmes. Early detection and prompttreatment offer the greatest chance of long-term survival and BSE (Breast Self Examination) seems to be an important viable optional substitute for early detection of cancer. The aim of the study was to assess the existing knowledge and skills …
Published in Journal of Nursing Science & Practice · Vol. 1, Issue 1-2, 2011 · pp. 21–27 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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Bias Detection and Accuracy Enhancement in Voice-based Banking Authentication Using Deep Learning
Abstract: Biometric systems have become an integral part of how many people access banking services today, and voice verification systems can be a secure and easy-to-use source of banking authentication that does not require any physical contact with the bank or any other person. From the security perspective, these systems would normally provide an effective means of identifying an individual but frequently exhibit bias with respect to demographics such as the …
Published in International Journal of Information Security Engineering · Vol. 4, Issue 2, 2026 Read article
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Sensor Based Agriculture – An approach Towards Better Agriculture Management
Abstract: Agriculture plays a crucial role in India's economy, and nowadays, it has become more data-driven and advanced. This paper discusses how sensors are being used in agriculture to make it smarter and more precise. Different types of sensors are available for specific tasks in farming, like checking soil conditions, monitoring crop status, managing irrigation, detecting insects, and studying environmental effects. Farmers are benefiting from these sensors throughout the entire crop …
Published in Recent Trends in Sensor Research & Technology · Vol. 10, Issue 2, 2023 · pp. 1–8 Read article
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A Comprehensive Analysis of Alzheimer’s Disease
Abstract: Alzheimer's disease, the most prevalent form of dementia, is a progressive neurological disorder characterized by cognitive decline, particularly in memory function. The condition manifests in two primary forms: familial Alzheimer’s disease, affecting individuals under the age of 65 years, and sporadic Alzheimer’s disease, which constitutes the majority of cases and primarily afflicts adults aged 65 years and older. The prevalence of Alzheimer’s disease is influenced by various factors, such as …
Published in Research and Reviews: A Journal of Toxicology · Vol. 13, Issue 2, 2023 Read article
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The potential Role of Antidepressant Medications in DNA Oxidation of Depression Disorder Cases
Abstract: Oxidative stress and DNA oxidation is a main target of different medications side effect, the current work aims to evaluate the potential role of anti-depressed medications in DNA oxidation in depression disorder cases, reactive oxygen species (ROS), total antioxidant (TAO) and 8-oxo deoxyguanine (8-oxo-dG) were detected in depressed disorder cases that treated with different medications included clomipramine, tryptizol, fluxetin, olanzapine, tryptizol with fluxetin, tryptizol with olanzapine and other types of …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 1, 2025 · pp. 41–47 Read article
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IOT Based Social Distancing & Monitoring Robot For Queue’s
Abstract: Social distancing is very important for stop spreading I gift a unique technique to mechanically discover pairs of humans in an exceedingly jammed situation in agency aren't adhering to the social distance constraint, i.e., concerning six feet of area between them. Our approach can make no assumption concerning the group density or pedestrian walking directions. The automaton consists of a three-wheel style system want to drive the robotic vehicle.. The …
Published in Recent Trends in Electronics Communication Systems · Vol. 9, Issue 2, 2022 · pp. 1–6 Read article
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A Prospective Study on Role of Doctor of Pharmacy/Clinical Pharmacist in Identification, Reporting and Minimization of Medication Errors in Drug Dispensary (Outpatient Unit) of an ESI Hospital
Abstract: The aim of present prospective study was to assess the role of clinical pharmacist/doctor of pharmacy in the identification, reporting and minimization of drug errors in dispensary department of ESI Hospital, Bengaluru, India. A prospective, observational, non-interventional study was conducted at the department of ESI Hospital, Bengaluru, for a period of six months from October 2018 to March 2019. All patient-related information was collected as per case record form. Among …
Published in Research and Reviews: A Journal of Medicine · Vol. 9, Issue 3, 2019 · pp. 10–19 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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Heart Disease AI-based Prediction: A Comparative Analysis
Abstract: The present investigation looks at how well various machine learning algorithms predict cardiac disease. Since heart disease is one of the major causes of death worldwide, early detection and precise diagnosis are essential for managing and treating the condition. Our goal is to enhance diagnostic processes and improve patient outcomes by leveraging machine learning techniques. Six widely-used machine learning algorithms are evaluated in this research paper. These algorithms were selected …
Published in Trends in Mechanical Engineering & Technology · Vol. 14, Issue 2, 2024 · pp. 21–29 Read article
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Contributing factors in the initiation of failure of asphalt concrete
Abstract: As long as the asphalt concrete pavement is under service, signs of failure usually initiate and the distress types start showing throughout the service life. The asphalt concrete pavement practices repeated tensile and shear stresses through the vehicular loading. In the present study, the contributing factors in the initiation of failure under repeated flexural stresses have been detected. Slab samples of Asphalt concrete have been prepared at the laboratory by …
Published in Trends in Transport Engineering and Applications · Vol. 10, Issue 1, 2023 · pp. 55–61 Read article
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Musculoskeletal Discomfort among Grinders Working in Manufacturing Industry
Abstract: This study aims to assess the work related musculoskeletal discomfort in 94 subjects engaged in grinding task in manufacturing industry. All subjects who participated in this study were males with mean age (SD) of 34.26 (9.67) years and work experience in grinding job ranges from 01–27 years with a mean (SD) of 10.47(7.21). Most of the workers had an education below matriculation (81.9%), out of which 32.9% were devoid of …
Published in Journal of Industrial Safety Engineering · Vol. 4, Issue 1, 2017 · pp. 10–14 Read article
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A Review on Wireless Sensor Network and LEACH Protocol
Abstract: This paper looks at the fundamentals of wireless sensor networks and clusters. Wireless Sensor Networks have recently risen to the top of the research agenda. Wireless Sensor Networks (WSN) are a hot topic in computer science and telecommunications nowadays. Data aggregation is carried out in WSN. Sensor nodes are used to identify data, information, and targets, as well as to continuously monitor data. Wireless Sensor Networks (WSNs) are networks of …
Published in Recent Trends in Sensor Research & Technology · Vol. 9, Issue 2, 2022 · pp. 12–17 Read article
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Screening for Deviant Voice Characteristics in School Children
Abstract: Objectives: Early detection of voice disorders in children has obvious advantages but it is challenging due to lack of appropriate screening tool and referrals. The present study aims to estimate the prevalence of vocal deviancies in children through screening and to confirm the results with acoustic measures. This also serves to create awareness among teachers, to make appropriate referrals. Method: 260 children aged 4.1 to 10.11 years were screened using …
Published in Research and Reviews: A Journal of Health Professions · Vol. 9, Issue 1, 2019 · pp. 59–64 Read article
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Fake Product Identification Using Blockchain Technology
Abstract: Blockchain technology has founded to detect fakes fast and identify genuine products possible. Essentially, Block chain is a sort of digital ledger which stores business information in blocks across several lots of databases that are connected through chains. The reason why Block chain is secure lies in decentralization that prevents any unauthorized changes to saved facts. By leveraging Block chain technology, clients can guarantee the genuity of their items without …
Published in Journal of Production Research & Management · Vol. 14, Issue 2, 2024 · pp. 26–35 Read article
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The Emerging Golden Age of Astrophysics: Progress, Discoveries, and Future Directions
Abstract: The period between 2024 and 2026 has marked a transformative era in astrophysics, fundamentally reshaping our understanding of the universe and its underlying physical mechanisms. Significant advancements in observational astronomy, computational modeling, and space exploration technologies have enabled scientists to investigate cosmic phenomena with unprecedented precision. Among the most groundbreaking achievements, the James Webb Space Telescope (JWST) has provided high-resolution infrared observations that revealed the large-scale distribution of dark matter, …
Published in International Journal of Universe · Vol. 2, Issue 1, 2026 · pp. 6–9 Read article
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Identification of ESBL producing Escherichia coli from Urine Samples at Tertiary Care Hospital in Jhalawar
Abstract: Introduction: Antibiotic resistance (ABR) is a serious worldwide threat to public health due to the emergence of multidrug resistant bacteria and is considered as a great problem in the treatment of bacterial infections both in hospital as well as community settings. Extended Spectrum Beta-Lactamase (ESBL) producing strains have emerged as a significant challenge to counter with present antibiotics. Aims: Our study was aimed to know the prevalence of ESBL producing …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 7, Issue 3, 2017 · pp. 38–45 Read article