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503 articles for “Ear Identification”
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A Novel Technique of Infrared Thermography for Ambient Air Infiltration Detection in Air- Conditioned Space
Abstract: Maintaining thermal comfort in the indoor microenvironment is essential for occupants’ well-being and functioning. Heating, ventilation and air conditioning account for a significant share in building energy consumption. Therefore, it is necessary to act on each energy-saving opportunity to improve air conditioners' energy efficiency and reduce outdoor air ingress in cooling space. Many earlier works focused on improving the performance of air conditioners; however, measurement of heat losses through building/room …
Published in Journal of Refrigeration, Air conditioning, Heating and ventilation · Vol. 9, Issue 3, 2022 · pp. 9–17 Read article
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AquaSential: Autonomous UAV-Based Water Quality Monitoring System
Abstract: The increasing occurrence of waterborne health risks and the presence of harmful microorganisms in freshwater environments highlight the need for rapid and continuous water quality monitoring. Traditional laboratory-based testing methods often require significant time and manual sampling, limiting their ability to provide immediate information about changing environmental conditions. This work presents AquaSential, a low-cost, portable, and UAV-ready water quality monitoring system designed for real-time assessment of freshwater bodies. The proposed …
Published in Recent Trends in Sensor Research & Technology · Vol. 13, Issue 2, 2026 Read article
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Secure Coding Practices for Enhancing the Art of Ethical Hacking: A Comprehensive Study
Abstract: In the quickly developing scene of network safety, secure coding, and moral hacking are essential for strengthening computerized environments. Secure coding systems and moral hacking are linked to digital strength. This study examines the relationship between secure coding and moral hacking, emphasizing the importance of a hierarchical culture that focuses on secure coding standards. Attention to detail in software development can protect against malicious exploits. Security considerations are integrated throughout …
Published in International Journal of Wireless Security and Networks · Vol. 2, Issue 1, 2024 · pp. 21–29 Read article
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Technical Review Of Manufacturing Defects In Cold Forged M6 Nuts
Abstract: This review delves into the intricacies of M6 cold forged nuts, a pivotal component in many assemblies. These nuts are essential for maintaining structural integrity, yet their production can often lead to defects that compromise their performance. Key issues include material flaws, such as impurities and inconsistencies, dimensional inaccuracies that can affect fit and function, and surface roughness that can impact the nut's strength and durability. Material flaws can arise …
Published in Journal of Materials & Metallurgical Engineering · Vol. 14, Issue 1, 2024 · pp. 01–06 Read article
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A Comprehensive Review of DiagnoTech: Your Healthcare Companion
Abstract: The review paper “A comprehensive review of DiagnoTech: Your Healthcare Companion” brings forth a transformative solution in the advancements of healthcare technology which aims to be an all-in-one Healthcare Companion. It explores the four key elements of DiagnoTech: Lab Tests, Body Mass Index (BMI) Calculation, Yoga and Diet Recommendations, and disease prediction. It brings to light each of these features’ functionalities, integration, and their collective impact on the healthcare industry. …
Published in International Journal of Mobile Computing Technology · Vol. 2, Issue 2, 2024 · pp. 24–32 Read article
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A Review of Literature on Breast Cancer: Molecular Insights, Clinical Approaches, and Future Perspectives
Abstract: Breast cancer is the leading cause of morbidity and mortality in women globally. Although both men and women can get the condition, women are more likely to get it, and its prevalence has been rising globally in recent years. The epidemiology, risk factors, pathophysiology, diagnosis, treatment options, and survival rates of breast cancer are all examined in this review of recent research. Breast cancer can show up as a lump …
Published in International Journal of Oncological Nursing and Practices · Vol. 3, Issue 2, 2025 · pp. 15–20 Read article
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A Study to Assess the Effectiveness of Self-instructional Module regarding Attention Deficit Hyperactive Disorder among Primary School Teachers at Selected Schools in Amritsar
Abstract: The global burden of disease indicates that by the year 2020, childhood neuropsychiatric disorders will increase by more than 50% internationally to become one of the five most common causes of morbidity and disability among children. An exploratory study on adult attention deficit hyperactivity disorder (ADHD) in India revealed that children who are diagnosed with ADHD grow up and become an adult patient of ADHD. Identifying them early and treating …
Published in Journal of Nursing Science & Practice · Vol. 5, Issue 2, 2015 · pp. 1–7 Read article
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Analyzing and Predicting Academic Behavior from Peer Pressure Indicators Using Machine Learning
Abstract: The academic achievement of a student is determined by their capability, but also by the companions with whom they associate. Friends can have a positive impact on students' motivation for school, and at times friends are distractions leading to a lack of attention on their school assignments. This particular study focuses on the number and quality of companions students associate with and to what extent that could be used as …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 Read article
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Analyzing and Predicting Academic Behavior from Peer Pressure Indicators Using Machine Learning
Abstract: The academic achievement of a student is determined by their capability, but also by the companions with whom they associate. Friends can have a positive impact on students' motivation for school, and at times friends are distractions leading to a lack of attention on their school assignments. This particular study focuses on the number and quality of companions students associate with and to what extent that could be used as …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 1–7 Read article
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An Expected Cardiovascular Disease Detection Using Deep Learning Techniques
Abstract: Many avoidable deaths globally are caused by CVD, often due to individuals remaining unaware of their risk factors until severe symptoms, such as heart attacks or strokes, appear. This study utilizes retinal images as the dataset to explore the potential of retinal imaging as a non-invasive diagnostic tool for early detection of cardiovascular diseases (CVD). The delay in diagnosis and treatment highlights the need for sophisticated diagnostic instruments that can …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 2, 2024 Read article
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Digital Elevation Model (DEM) Extraction using Google Earth and Terrain Zonum Solutions Online Tool
Abstract: Topographic data or DEM are commonly perceived as providing loaded information for various types of modeling. However, this information severely limited and most users rely on published topographic maps or DEM produced by government agencies. This paper proposes an alternative method of generating DEM by using online source of elevation data which is easier and free. Firstly, the location of the study area identified in Google Earth and marked using …
Published in Journal of Remote Sensing & GIS · Vol. 9, Issue 3, 2018 · pp. 23–29 Read article
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Oral Self-examination: An Approach for Early Recognition of Oral Cancer Among Factory Workers: An Experimental Study
Abstract: Background: Cancer is a worldwide concern and ranks among the most dreaded illnesses across the globe. Oral cancers are one common cancer among all cancers. Objectives: To measure the existing knowledge concerning oral self-examination for timely recognition of oral cancer among factory workers and to develop and administer a planned health education programme of oral self-examination for early recognition of oral cancer among factory workers. 40 factory workers were selected …
Published in International Journal of Oncological Nursing and Practices · Vol. 1, Issue 2, 2023 · pp. 22–26 Read article
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An Insight into Childhood Malignancy
Abstract: Childhood cancers represent a significant public health concern, affecting a vulnerable population with unique biological and developmental characteristics. The aim of this article is to describe the main causes and different types of malignancies in childhood. By understanding the contributing factors towards malignancy in childhood one can plan for the preventive measures and early diagnosis and treatment modalities can be adopted. Even though the treatment patterns have improved, people are …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 13, Issue 1, 2024 · pp. 07–12 Read article
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Detection and Identification of Fungal Pathogens by Multiplex PCR in Pulmonary Tuberculosis Patients in Kancheepuram
Abstract: Tuberculosis is a common infection in developing countries. Pulmonary tuberculosis is the most commonly associated disease in cases of secondary aspergilloma. Fungus infection is gradually becoming commoner and has been difficult to evaluate since diagnoses were seldom confirmed. Multiplex PCR method provides a rapid, simple, and reliable alternative to conventional methods to identify common clinical fungal isolates. Hence, this study was taken up to find the fungal co-infections among TB …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 3, Issue 2, 2013 · pp. 1–5 Read article
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A Nation in Disarray: Communal Conflicts and Socio-political Stability in Nigeria
Abstract: This paper investigated communal conflicts and socio-political stability in Nigeria. The Nigerian state has witnessed a lot of cataclysms arising from misunderstanding or disarticulation of interest between or among communities and this has affected the political stability of the State. Methodologically, the study adopted secondary data which was analyzed through content analysis. The Frustration and Aggression theory was adopted as the framework for analysis. The study observed that land disputes, …
Published in OmniScience: A Multi-disciplinary Journal · Vol. 14, Issue 1, 2024 · pp. 28–35 Read article
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Next-Gen Agriculture: Deep Learning Algorithms for Real-Time Plant Disease Detection via IoT
Abstract: In addition to providing high-quality food, the agriculture industry plays a critical role in supporting expanding people and economies. Plant diseases can have a detrimental effect on biodiversity and result in significant losses in food production. Automated methods for early and precise identification of plant diseases can reduce financial losses and enhance the quality of food produced. Deep learning has significantly improved object detection and picture classification accuracy in recent …
Published in Recent Trends in Sensor Research & Technology · Vol. 11, Issue 1, 2024 · pp. 18–23 Read article
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IoT-based Heart Attack Prediction System Using Machine Learning
Abstract: Heart disease, particularly heart attacks, is one of the leading causes of mortality worldwide. Timely detection and prompt intervention play a vital role in significantly improving the survival rates of individuals at risk of cardiac events. Unfortunately, most traditional healthcare systems are not equipped with mechanisms for continuous, real-time monitoring of patients' cardiovascular health. This limitation makes it extremely difficult for healthcare providers to identify warning signs early enough to …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 12, Issue 2, 2025 · pp. 1–5 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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Recent Advances and Future Prospects in Digital Twin Technology for Battery Management Systems of Electric Vehicles
Abstract: Digital twin technology in battery management systems (BMS) for electric cars (EVs) represents a major development in the automotive industry. Digital twins provide predictive maintenance, modelling, and real-time monitoring by creating virtual copies of real-time monitoring, actual battery systems. This paper describes the functional components, architecture, and design of Digital Twin technology along with how it may be included into BMS. Emphasizing how consistent data flow from sensors improves battery …
Published in Journal of Automobile Engineering and Applications · Vol. 12, Issue 2, 2025 · pp. 21–30 Read article
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Pharmacovigilance: The Silent Guardian of Patient Safety
Abstract: Pharmacovigilance is critical in protecting the populace health by monitoring, detecting and preventing adverse drug reaction (ADR) post drug approval. Although there is technological advancement and national initiatives such as the Pharmacovigilance Programme of India (PvPI), there is still a great problem of underreporting. Many benefits of effective pharmacovigilance include identification of risks early, better prescriptions and patient confidence. There are historical examples of drugs being withdrawn due to thalidomide, …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 16, Issue 1, 2026 · pp. 01–05 Read article