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503 articles for “Ear Identification”
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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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Integrating Sensor Technologies and Machine Learning for Detection and Mitigation of Structural Deformity and Slope Failure in Opencast Mines
Abstract: With furtherance in the mining industry, accidents due to slope failure are frequent in mining sites. Slope instability, a complex process, seriously threatens the miner’s life and properties. The damage inflicted by slope failures in the recent past has pulled the attention of authorities toward implementing disaster risk reduction measures. This research aims to develop an innovative approach that combines sensor technologies and machine learning techniques to detect and mitigate …
Published in Journal of Communication Engineering & Systems · Vol. 13, Issue 3, 2023 · pp. 38–45 Read article
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Assessment of Hematological Disorders in Patients Using Phenytoin With or Without Nutritional Supplements
Abstract: Phenytoin is the most prescribed drug in controlling the epileptic seizures for prolonged period and this can lead to life-threatening adverse events. This prospective study is aimed to find out the incidence of hematological disorders (HDs) in patients receiving Phenytoin. The authors have screened 100 patients receiving phenytoin for ≥ 6 months, of whom 35 were recruited as per the eligibility criteria and their hematological parameters were noted, 90% of …
Published in Research and Reviews: A Journal of Medicine · Vol. 5, Issue 3, 2015 · pp. 1–5 Read article
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Current Issues in Understanding of Diabetes
Abstract: Diabetes mellitus is a significant metabolic disorder that poses a major health concern, particularly in India. India harbours the world's highest number of diabetic patients, totalling around 130 million, with an additional 40 million categorised as prediabetic. In the global context, the number of adults suffering from diabetes was roughly 150 million in 2000, but this number is projected to significantly increase by 2030. The global prevalence of prediabetes is …
Published in Research and Reviews: A Journal of Medicine · Vol. 13, Issue 2, 2023 · pp. 1–12 Read article
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An experimental study to assess the efficacy of VAT on knowledge of Breast Cancer and practice of BSE among women in Chittoor, Andhra Pradesh
Abstract: Introduction: Breast cancer is more common in developing and industrialized nations alike, including India. Every year, more than a million cases of breast cancer are diagnosed worldwide. Insufficient awareness on breast cancer has been shown to be a significant contributing cause to the high rates of morbidity and death among women by refraining them from going to screening facilities, participating in BSE, and delaying treatment. Breast Cancers are second most …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 12, Issue 3, 2024 · pp. 38–42 Read article
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Nutritional Status of Adults with Mild Cognitive Impairment (MCI)
Abstract: Early identification of cognitive failure and its association with nutritional status might aid in the planning of prevention strategies. An attempt was made to identify the incidence of cognitive failure in adults and its association with nutritional status. 120 participants (20–60 years) were screened for cognitive ability using mini-mental state examination (MMSE) tool. Nutritional status of individuals with mild cognitive impairment (MCI) was assessed through body composition and dietary nutrient …
Published in Research and Reviews: A Journal of Neuroscience · Vol. 3, Issue 1, 2013 · pp. 1–8 Read article
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Appendiceal Tie Syndrome
Abstract: Introduction: Appendicular tie/knot syndrome is a very rare presentation of acute appendicitis causing intestinal obstruction. The literature has described intestinal knot syndromes such as ileosigmoid knots and ileal-ileal knots. We present a case of an appendico-ileal knot, an uncommon type of closed-loop blockage, caused by a lengthy, inflamed appendix wrapping around a loop of the ileum. Aim: to increase clinical awareness of this issue among medical professionals so that it …
Published in Research and Reviews : Journal of Surgery · Vol. 11, Issue 3, 2022 · pp. 22–27 Read article
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Assessment of Suitability of Inland Wetland Fishes in Gujarat, India, for Human Consumption: A Focus on Organochlorine Pesticides
Abstract: The work described in this study evaluated the organochlorine pesticide (OCP) residues in the inland wetland fishes of Gujarat, India, and their suitability for human consumption. Among the various OCPs analyzed, isomers of hexachlorocyclohexane (HCH), γ-HCH and β-HCH were detected in 70%–80% of samples. The p,p’-DDE, metabolites of DDT were detected in higher load. Of the nine species of fishes tested, the maximum load of ∑HCH and ∑DDT was recorded …
Published in Research and Reviews: A Journal of Toxicology · Vol. 2, Issue 3, 2012 · pp. 7–14 Read article
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AI Based Dental Care Solution System
Abstract: The AI-Based Dental Care Solution System is a web-based healthcare application developed using the MERN stack (MongoDB, Express. js, React.js, and Node.js) and integrated with Artificial Intelligence techniques to support early and accessible dental self-assessment. The system assists users in preliminary dental consultation by collecting symptoms such as tooth pain, sensitivity, swelling, bleeding gums, and bad breath through both structured forms and a conversational chatbot interface. Using Natural Language Processing …
Published in Research and Reviews: A Journal of Dentistry · Vol. 17, Issue 2, 2026 Read article
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Artificial Intelligence-Based Workforce Analytics Framework for Predicting Employee Engagement and Continuous Performance Improvement: Evidence from Tata Steel
Abstract: In large, diversified manufacturing organizations, managing employee engagement and sustaining performance require systematic understanding of workload distribution, employee sentiment, and workplace experience. This study examines the role of AI-enabled workforce analytics as a strategic human resource management tool through a case study of Tata Steel. The research positions artificial intelligence not as a technical innovation, but as a people-analytics decision-support mechanism that assists HR leaders in identifying early indicators of …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 13, Issue 3, 2025 Read article
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A Complete Study of Different Models for Software Fault Prediction
Abstract: Context- Software faults prediction improves software quality, software reliability, and software efficiency by early identification of faults. Numerous classification methods have been suggested for this task.Objective- The main objectives of the studies are (i) find the number of defects in AEEEM defect datasets, (ii) Challenges faced with Imbalanced Datasets.Method- We use AEEEM defect datasets for the prediction of faulty classes using four deferent machine learning technique. This particular paper present …
Published in Journal of Software Engineering Tools & Technology Trends · Vol. 5, Issue 2, 2018 · pp. 1–10 Read article
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First trimester neutrophil-lymphocyte ratio in pregnancy associated with preeclampsia patients in India: A brief review.
Abstract: Background: Pre-eclampsia is a complicated syndrome that starts very early in pregnancy and has a known pathogenesis. However, the second or third trimester is when its clinical symptoms first manifest. Preeclampsia and NLR are related, according to the literature review, albeit the findings are ambiguous and contradicting. Moreover, there isn't a thorough assessment available from Indian contexts. As a result, the current review was designed with the goal of examining …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 13, Issue 3, 2023 · pp. 16–32 Read article
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IoT Sensors to Monitor Pipeline Pressure and Flow Rate Combined with ML-Algorithms to Detect Leakages
Abstract: In the field of fluid mechanics, pipelines are the lifeblood of industries, transporting everything from natural gas and oil to water and chemicals. Maintaining their integrity is paramount for safety, economic efficiency, and environmental protection. Traditional leak detection methods explained in fluid mechanics can be slow, expensive, and sometimes fail to identify small leaks early enough to prevent significant damage. However, the convergence of Internet of Things (IoT) and Machine …
Published in Recent Trends in Fluid Mechanics · Vol. 12, Issue 2, 2025 · pp. 40–48 Read article
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To Study the VLF Signal for SeismoElectromagnetic Phenomena by Using Wavelet Analysis
Abstract: The research focuses on exploring the potential of Very Low Frequency (VLF) signals as indicators of seismic and geomagnetic activities, particularly in the context of earthquake prediction. It delves into the analysis of VLF data using wavelet-based methodologies and neural networks to detect anomalies preceding seismic events.Observations and analysis of VLF data revealed fluctuations and discrepancies, notably "silent days," occurring several days before seismic events. These irregularities studied through wavelet …
Published in Research & Reviews : Journal of Physics · Vol. 12, Issue 2, 2023 Read article
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IoT Care: Breast Health
Abstract: In today's world, taking care of your wellbeing is of most extreme significance. The multiplication of wellbeing issues could be a genuine burden on specialists around the world, making it troublesome to viably treat each persistent. To ease the burden on specialists, there have been noteworthy progressive thoughts that have changed the healthcare industry. With the movement of computer innovation, it gets to be conceivable to create comes about more …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 1, Issue 2, 2023 · pp. 21–28 Read article
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Assessment of Resting Heart Rate and It’s Association with Cardiovascular Risk in Young Adults
Abstract: Resting heart rate is an easily measurable physiological parameter that reflects autonomic nervous system balance and cardiovascular function. This article aims to assess resting heart rate and examine its association with cardiovascular risk in young adults. A comprehensive review of recent literature highlights that elevated resting heart rate is significantly associated with increased risk of hypertension, metabolic syndrome, endothelial dysfunction, and long-term cardiovascular morbidity and mortality. In young adults, resting …
Published in Research and Reviews: A Journal of Medicine · Vol. 16, Issue 2, 2026 · pp. 6–23 Read article
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How Scientists Look for New Pathogens Before They Spread
Abstract: Emerging infectious illnesses are a persistent danger to global health. They often come from unexpected places, such wildlife reservoirs, changes in the climate, or human activities. Finding new diseases before they create epidemics is one of the biggest problems in modern epidemiology. This article talks about how scientists use genetic monitoring, field sampling, and real-time data processing to find, track, and describe new infectious organisms in a way that works …
Published in International Journal of Pathogens · Vol. 3, Issue 1, 2026 · pp. 11–17 Read article
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Reduction of Shrinkage-Porosity Defects in Sand Casting Using Finite Element Analysis: A Review
Abstract: Today production of casting is easy but market requirement is quality casting. Earlier casting is made with large no. of defects due to large no. of process parameter in casting process. Specially, to predict phase transformation is very critical. As the problem of automation in process, shortage of skill labour now a days; casting simulation requirement is high and it is identifies defects earlier without making actual casting. This process …
Published in Journal of Materials & Metallurgical Engineering · Vol. 6, Issue 1, 2016 · pp. 1–5 Read article
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Arduino Fire Guardian: Empowering Fire Safety with Robotics
Abstract: Identification of early fires is crucial in preventing losses. Fires often result in significant damage due to the lack of timely detection. Detecting and extinguishing fires early can protect lives and property. Robotics has become popular due to many advances in technology. A properly equipped robot will detect the fire. In the situation of a fire, a mounted robot will be directed to extinguish it. Equipped with sensors and a …
Published in Journal of Thermal Engineering and Applications · Vol. 11, Issue 1, 2024 · pp. 20–27 Read article
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Enhancing Crop Health: A Review of Image Processing Methods for Leaf Disease Identification
Abstract: This research presents an overview of different image processing techniques for the identification of leaf disease. Many algorithms can be used to identify and categorize leaf diseases in plants, and digital image processing provides a quick, dependable, and accurate method of disease detection. This paper presents various techniques used on multiple crops and the achieved accuracy for each model. Leaf disease detection is a critical task in agriculture to ensure …
Published in Current Trends in Signal Processing · Vol. 14, Issue 1, 2024 · pp. 10–14 Read article