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502 articles for “Ear Identification”
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A Web Application for Predicting Diabetes Using Machine Learning Methods
Abstract: Diabetes is a long-term disease caused by high glucose quantity in the blood. It has the potential to result in serious health complications like heart disease, hypertension, and ocular damage. It is good to identify any health issues as early as possible to get the right medical treatment and make necessary lifestyle adjustments. One makes use of machine learning techniques to predict diabetes and develop treatment options using actual cases. …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 11, Issue 3, 2024 · pp. 92–102 Read article
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Fields of Data: Exploring AI’s Impact on Modern Farming
Abstract: The Food and Agriculture Organization (FAO) of the United Nations projects that by 2050, there will be a further 2 billion people on the planet, but just 4% of that additional land will be used for agriculture. Under such circumstances, the most recent technical developments and solutions to the farming industry’s obstacles can be used to achieve more effective farming methods. The direct implementation of machine intelligence or artificial intelligence …
Published in International Journal of Solid State Innovations & Research · Vol. 1, Issue 2, 2023 · pp. 14–20 Read article
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Customer Churn Prediction Using ML Algorithms
Abstract: Comprehending customer churn is essential for businesses aiming to enhance and sustain customer relationships. This study introduces a machine learning approach aimed at forecasting customer churn by leveraging demographic and behavioral data. Our research involved developing predictive models using support vector machines (SVM), random forests, and decision trees, evaluating their efficacy using real-world data from the telecom industry. Our findings underscore that random forests consistently outperform SVM and decision trees …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 2, 2024 · pp. 70–75 Read article
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IoT-Based Manhole Detection and Monitoring System
Abstract: Urban drainage systems face numerous challenges, including blockages, harmful gas accumulation, and flooding, which pose risks to public safety and environmental health. This project introduces an IoT-enabled solution designed to monitor and address these issues efficiently. The system incorporates sensors to detect critical parameters such as gas levels, temperature, water presence, and nearby obstacles. A unique lifting mechanism ensures the hardware adapts to challenging conditions, maintaining uninterrupted operation. The system …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 · pp. 1–6 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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Ventilator Associated Pneumonia: Prevalence of Bacteria and their Antibiogram in Tertiary Care Centre, Kota, Rajasthan, India
Abstract: Background: Mechanical ventilation is a life-saving procedure, but it is associated with a high risk of acquiring respiratory infections. Hence to prevent it and initiate empirical antimicrobial therapy, knowledge of microbial profile and their local antimicrobial sensitivity pattern are essential. The study aimed to investigate the role of endotracheal aspirate (ETA) surveillance cultures in identifying the aetiology of VAP earlier. Methods: A prospective study was carried out over a period …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 11, Issue 1, 2021 · pp. 30–34 Read article
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Seroprevalence with Clinical Manifestations and Laboratory Profiles of Scrub Typhus Infection in Patients Attending to a Tertiary Care Hospital in Kota, South-East Rajasthan, India
Abstract: Background: Scrub typhus, a zoonotic rickettsial illness, is caused by Orientia tsutsugamushi, an obligate intracellular Gram-negative bacterium. It is transmitted by the bite of larval (chiggers) trombiculid mites.Owing to frequent outbreaks witnessed in different parts of the country in the recent past, scrub typhus is being described as a re-emerging infectious disease in India. Overall mortality varies from 7 to 30%. Objectives: The objective of the present study was to …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 10, Issue 1, 2020 · pp. 1–9 Read article
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Machine Learning Techniques for Diabetes Prognosis
Abstract: Diabetes is a long-term illness that has the potential to devastate the global health-care system. Diabetes will affect 522 million people worldwide by 2033. Diabetes develops in eagerness, hunger, and the process of excreting due to high blood sugar levels.. Among other problems, diabetes is a primary cause of blindness, renal failure, amputations, heart failure, and stroke. Our bodies convert food into sugars, or glucose, when we consume it. At …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 9, Issue 1, 2022 · pp. 25–32 Read article
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Voltage Vigilance: Ensuring Balance and curbing Theft in Power Distribution Networks
Abstract: This project proposes a system for detecting electrical overload and earth faults using an Arduino Uno controller. The system uses a current sensor to identify overloads and a voltage sensor to detect earth faults. An ESP8266 module allows users to switch between the two fault detection modes. When an overload is detected, the Arduino turns off AC bulbs using a relay and sends an alert message via a GSM module. …
Published in International Journal of Advanced Control and System Engineering · Vol. 3, Issue 1, 2025 · pp. 15–21 Read article
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Classifying Abnormalities in Heartbeat Sound
Abstract: Heartbeat sounds play a major role in the detection of various diseases such as heart disease, hyperthyroidism, and high blood pressure in their early stages. In the proposed method, various abnormal and healthy heartbeat audio signals are given as input and the features are extracted using MFCC (mel-frequency cepstral coefficients). Then, a deep learning approach is applied in which the MFCC audio signals are sent to the CNN (convolutional neural …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 1, 2024 · pp. 24–31 Read article
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Screening and Characterisation of Antibacterial Actinomycetes Isolated From Earthworm
Abstract: The actinomycetes are considered to be the most potent source for the production of secondary metabolites, antibiotics and other bioactive compounds. The present study dealt with the isolation of the actinomycetes from the earthworm, Eisenia fetida. The actinomycetes were identified using slide culture technique and various biochemical tests. The isolates (S1 and S2) showed activity against Gram positive and Gram negative bacteria in primary screening by perpendicular streak method. In …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 9, Issue 1, 2019 · pp. 77–84 Read article
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Advancements in AI-Driven Diagnostics for Dental Health: A Comprehensive Review
Abstract: Dental diseases, also known as oral diseases or dental conditions, encompass a range of health problems affecting the teeth, gums, mouth, and associated structures. These conditions can lead to pain, discomfort, and severe complications if left untreated. Early detection and accurate diagnosis are crucial for effective treatment and prevention of further complications. This comprehensive literature review aims to identify common dental problems such as Tooth Decay (Cavities), Gingivitis, Periodontitis, and …
Published in Current Trends in Signal Processing · Vol. 14, Issue 2, 2024 · pp. 1–7 Read article
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Unveiling The Personality Traits in Substance Use Disorder (SUD)
Abstract: The current case study examines the personality traits of a specific patient in relation to substance use disorders. The individual in question is a 35-year-old male with a history of marijuana consumption spanning the past seven years, along with occasional alcohol consumption. Despite seeking treatment for addiction, he exhibited a complex presentation that involved potential co-occurring personality traits. The main focus of concern revolved around his addiction to marijuana and …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 14, Issue 2, 2024 · pp. 22–31 Read article
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Exploring AI-Driven Student Performance Analysis as a Dimension of an AI-Powered Assessment and Feedback System: A Comprehensive Review
Abstract: The rapid proliferation of artificial intelligence (AI) in educational technology has heralded a paradigmatic transformation in assessment methodologies, transitioning from static, summative evaluations to dynamic, data-driven systems that emphasize continuous formative feedback. This comprehensive review interrogates AI-driven student performance analysis as a cardinal dimension of AI-powered assessment and feedback systems (AI-PAFS), synthesizing findings from forty-five rigorously curated open-access empirical studies published between 2015 and 2024. Employing a methodological lens, the …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 24–31 Read article
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AI Powered Fault Detection in DC Motor using STM32
Abstract: This work presents the design and implementation of an embedded artificial intelligence system for real-time fault detection in a direct current (DC) motor using the STM32 Nucleo- F411RE microcontroller. The objective of the study is to develop a low-cost and efficient predictive maintenance solution capable of identifying abnormal motor behavior at an early stage. Vibration and temperature signals are acquired using an MPU6050 sensor and processed directly on the microcontroller …
Published in Journal of Control & Instrumentation · Vol. 17, Issue 1, 2026 · pp. 39–49 Read article
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IoT-Based Structural Health Monitoring and Damage Detection in Fiber Reinforced Polymer Composite Structures
Abstract: Applications of fiber-reinforced polymer (FRP) composite in the aerospace, civil infrastructure and renewable energy systems are increasing due to the fact that the composite possesses high ratio of strength to weight and can resist corrosion. However, processes of internal damages such as the cracking of the matrix, delamination and fiber fracture, are likely to take place without being visible on the surface and therefore a periodic check of the structure …
Published in Journal of Polymer & Composites · Vol. 14, Issue 2, 2026 · pp. 1076–1100 Read article
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Physicochemical Transitions and Polymerization Dynamics in Multi-Generational Dentin Adhesives: A Critical Review of the Resin-Dentin Composite Interface
Abstract: Adhesive dentistry has undergone a transformative refinement over the past three decades, transitioning from technique-sensitive, multi-step etch-and-rinse protocols to streamlined universal formulations. This narrative review critically synthesizes evidence from thirty peer-reviewed investigations to evaluate the evolution of dentin bonding agents from the fourth through the eighth generations. The analysis places particular emphasis on the physicochemical dynamics of the resin-dentin interface, including interfacial bond strength metrics, marginal integrity, and microleakage behavior. …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 209–228 Read article
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Integrated Polarimetric-Interferometric Fusion for Heterogeneous Urban Signature Extraction
Abstract: Mapping heterogeneous urban environments using conventional Synthetic Aperture Radar (SAR) backscatter intensity frequently produces classification errors due to spectral similarity between sparse built-up features, bare soil, and dry vegetation a challenge especially acute in semi-arid Deccan Plateau settings. This research presents a dual-path Pol- InSAR fusion framework that integrates polarimetric scattering decomposition and interferometric coherence stability to extract heterogeneous urban signatures over Beed Taluka, Maharashtra (area: 1,561.31 km²). A temporal …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 2, 2026 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 · pp. 26–32 Read article
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Effect of Olive Leaves Extract on Inflammatory Cyclooxygenase (COX) Levels in High Fat Diet (HFD) Induced Diabetic Animals
Abstract: Development of diabetes and its complications are associated with persistent inflammatory activity. It has been suggested that cyclo-oxygenase (COX)-mediated pathway involved in this inflammatory process in diabetes. For example, thromboxane A2 (TXA2) and prostaglandin E2 (PGE2) released by platelets and monocytes due to the action of COX-1 and COX-2, respectively. They are important prostanoids involved in thrombosis and atherosclerosis development in diabetic condition, this also have been proved in our …
Published in Research and Reviews : A Journal of Biotechnology · Vol. 1, Issue 1, 2011 · pp. 70–76 Read article