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1076 articles for “ESP-32 CAM”
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Cutting-edge Deep Learning Methods for Predicting and Detecting Cardiovascular Diseases
Abstract: Cardiovascular diseases (CVDs) remain a major global health issue, highlighting the need for improved early detection and risk assessment methods. This research investigates the efficacy of both deep learning and traditional machine learning methods in forecasting cardiovascular diseases (CVDs). We evaluate a variety of models, including Convolutional Neural Networks (CNNs), Recurrent Neural Networks (RNNs), Multilayer Perceptrons (MLPs), Long Short-Term Memory (LSTM) networks, as well as Logistic Regression (LR), Decision Trees …
Published in Recent Trends in Parallel Computing · Vol. 11, Issue 2, 2024 · pp. 36–42 Read article
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Climate Change Impacts on Health: Addressing Temperature Variations With Homeopathic Solutions
Abstract: This study is focussed on the impacts of climate change on health, specifically focusing on temperature variations and proposing homeopathic solutions. Climate change, recognized as a critical issue of the 21st century, has wide-ranging effects on human health, including direct impacts such as heat-related illnesses and deaths, as well as indirect effects like increased prevalence of vector-borne diseases and food shortages. Vulnerable groups, including the elderly, are especially at risk. …
Published in Research & Reviews : A Journal of Unani, Siddha and Homeopathy · Vol. 11, Issue 2, 2024 · pp. 1–6 Read article
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Prevalence and Distribution of Staphylococcus Aureus in Clinical Samples Across Age Groups
Abstract: The bacteria that cause everything from ordinary skin infections to serious illnesses is called Staphylococcus aureus. It is now known that Staphylococcus aureus may develop resistance to a variety of drugs. Staphylococcus aureus has been displaying an unusual kind of resistance to antibiotics, especially to those based on β-lactum. As a result, Methicillin Resistant Staphylococcus Aureus (MRSA) is the new name for the resistant strain of Staphylococcus aureus. The prevalence …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 2, 2024 · pp. 15–19 Read article
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A Review on Ethnomedicinal Claims of Gloriosa Superba Linn. (Langali).
Abstract: Aim: Gloriosa superba Linn., is a procumbent herbaceous climber and different parts of G. superba, have wide diversity of uses especially in traditional system of medicine among local healers. The goal of the current review is to gather information on research updates and claims pertaining to ethno medicine and folklore that is currently accessible. Material and Methods: Information and data regarding reported ethno medicinal uses and folklore claims of the …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 11, Issue 2, 2024 · pp. 14–23 Read article
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Face Mask Detection on Real Time Images and Videos using Deep Learning
Abstract: A big change has occurred in our day-to-day lives as a result of COVID-19. One of these changes is the widespread adoption of face masks as a preventative measure against the transmission of the virus. Because of this, face mask detection has developed into an indispensable technique in a variety of contexts, ranging from public areas to industrial settings. Artificial intelligence (AI) and machine learning algorithms are utilized in the …
Published in International Journal of Electrical Machine Analysis and Design · Vol. 2, Issue 1, 2024 · pp. 22–30 Read article
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Wireless and Wearable Real-time Health Monitoring Systems: A Review of Recent Developments
Abstract: This paper explores the interdependent relationship between mental and physical health, highlighting the impact of stress and anxiety on the body by introducing an innovative Real- Time Health Monitoring System. This system monitors both mental well-being and physical health using advanced physical health sensors and Facial Emotion Recognition (FER) technology. Leveraging high-precision sensors such as Temperature and pulse oximeters, it continuously monitors vital physiological parameters such as Body Temperature and …
Published in International Journal of Radio Frequency Innovations · Vol. 2, Issue 1, 2024 · pp. 1–7 Read article
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Review of Input Selection Criteria; Comparison of Popular Methods Used in Water Stress Analysis.
Abstract: This paper examines input variables and their respective selection criteria intended for application in methodologies addressing water scarcity. It presents a comparative analysis of prominent approaches utilized in assessing water stress within urban contexts, such as the Analytic Hierarchy Process (AHP), Multiple Criteria Decision Making (MCDM), Geographic Overlay Decision (GOD), and System for Integrated Assessment of City Transformation towards Sustainability (SINTACTS). The principal aim is to scrutinize prevailing input parameters …
Published in Journal of Polymer & Composites · Vol. 12, Issue 2, 2024 · pp. 311–319 Read article
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Automated System for Attendance Tracking and Management Using Face Recognition
Abstract: A camera is used by an attendance tracking system that uses facial recognition to snap photos of people. After that, a computer program analyzes these images and uses facial feature analysis to identify specific individuals. Subsequently, the system can ascertain whether or not the identified individuals are present, by comparing the identified individuals to a database that already has information about known individuals. This technology can be used to expedite …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 11, Issue 2, 2024 · pp. 1–12 Read article
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Trauma- Its Transgenerational Inheritance and Associated Nuances in Perinatal Care: A Systematic Review
Abstract: The research is a systematic review of the existing clinical and animal studies pertaining to effects of trauma on immediate offsprings and its transgenerational inheritance. The research also summarises the current statistical data on perinatal care globally with special emphasis on India as a developing nation and the current strategies, government policies and international recommendations on maternal and child health as put forward in the Sustainable development goal 2030 by …
Published in International Journal of Children · Vol. 1, Issue 1, 2024 · pp. 37–45 Read article
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Innovations in Forensic Imaging: Leveraging Deep Learning for Authenticity Verification
Abstract: The advent of digital media has necessitated advancements in forensic imaging, especially for the detection and verification of image authenticity. In this context, digital image forensics plays a critical role in identifying manipulated or counterfeit images. This paper presents a new method that uses deep learning techniques to enhance image forgery detection. The approach utilizes a convolutional neural network (CNN) to automatically learn and recognize the intricate features present in …
Published in Journal of Advances in Shell Programming · Vol. 11, Issue 2, 2024 · pp. 28–33 Read article
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Enhancing Profanity Detection in Dravidian Languages: Leveraging Language Models for Optimization and Improvement
Abstract: Detecting and documenting instances of abusive behaviour can significantly improve the quality of virtual environments. Given the vast amount of content published daily on social media, it is impractical for human annotators to manually identify potentially harmful content. Recent algorithmic initiatives, especially on platforms like Twitter, have advanced in abuse detection. However, for Dravidian texts, there remains a need to understand the context better and build robust language models for …
Published in Recent Trends in Programming languages · Vol. 11, Issue 2, 2024 · pp. 17–23 Read article
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Deep Plate: A Deep Learning Approach to Recipe Generation from Food Images
Abstract: In the deep learning era, image understanding is advancing in sophistication, encompassing both semantic interpretation and the generation of meaningful image descriptions. To achieve this, deep neural networks must undergo specific cross-model training; these networks must be both simple enough to handle a wide range of inputs and complex enough to encode the fine contextual information associated with the image. An appropriate example of the previously described picture comprehension problem …
Published in Journal of Operating Systems Development & Trends · Vol. 11, Issue 2, 2024 · pp. 15–22 Read article
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Exploring Artificial Intelligence in the Finance Sector
Abstract: Artificial intelligence (AI), machine learning (ML), and progressive algorithms illustrate a substantial technological leap with wide applications across sectors like automobiles, healthcare, gaming, finance, entertainment, and more. The foremost objective of AI is to produce intelligent, independent systems capable of self-sustaining decision-making. This study delivers a concise summary of AI, concentrating on its transformative influence on finance, especially within banking, asset firms, derivatives markets, and insurance enterprises. It summarizes the …
Published in E-Commerce for Future & Trends · Vol. 11, Issue 3, 2024 · pp. 16–23 Read article
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Neuro Care: A Wearable Gadget for Headache Relief
Abstract: Abstract Headaches, particularly migraines, present a significant health challenge. Many individuals, especially students, suffer from frequent headaches that adversely affect their daily lives and academic performance. Neuro Care addresses this issue by offering a non-pharmacological treatment option through a smart helmet designed to provide headache massage therapy. The system's goal is to improve headache sufferers' quality of life by providing a practical, efficient substitute for conventional therapies. Neuro Care is …
Published in Journal of Control & Instrumentation · Vol. 15, Issue 2, 2024 · pp. 46–55 Read article
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Comparative Impact of Yoga Practice on Lifestyle in Public and Private Sector Professionals
Abstract: Yoga has become completely embedded in our lifestyle. Without yoga, it has become very difficult to stay healthy. Along with sports, yoga is also very important for human life. It keeps us in shape, active, and intellectually and socially rejuvenated. They impart discipline and coordination skills to us. Our camaraderie and brotherhood are also fostered via yoga and sports. Furthermore, it is crucial for both the physical and mental growth …
Published in Recent Trends in Sports · Vol. 1, Issue 1, 2024 · pp. 11–15 Read article
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Artificial Neural Network Based Prediction of Impact Loads and Thickness in CFRP and GFRP Composite Laminates
Abstract: Recent technological advancements, particularly the integration of neural networks, have facilitated a predictive approach to complex engineering problems, especially those involving composite materials with directional properties. The scarcity of literature on predicting impact damage using experimental and ultrasonic flaw detection data motivated this study. Experimental assessment of impact damage on carbon fiber/epoxy (CFRP) and glass fiber/epoxy (GFRP) composites was conducted using low-velocity drop weight impact testing. Damage assessment employed an …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 2, Issue 1, 2024 · pp. 34–45 Read article
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Current Perspectives of Prader -Willi Syndrome: A Multisystem Approach
Abstract: Prader-Willi syndrome (PWS) is a genetic disorder with multisystem involvement, caused by the lack of expression of genes on the paternally inherited chromosome 15q11.2-q13 region from paternal 15q11-q13 deletions (about 60%) or maternal uniparental disomy 15 or both. It is a complex and contiguous gene disorder which affects the multiple systems with many clinical presentations especially hypothalamic insufficiency. The clinical features are characterized by short stature position, developmental delay, cognitive …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 2, 2024 · pp. 42–48 Read article
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Food Insecurity: A Growing Threat to Nigeria’s National Security
Abstract: In Nigeria, the topic of food security has played a significant role in the national security equation. The study argues that though the strategic conception and approach are important in the articulation of threats analysis, the non-strategic conceptions like food security or insecurity are also important. It also examines the1erformance of this sector and the extent to which it could be employed as a catalyst to the defence of national …
Published in Recent Trends in Social Studies · Vol. 1, Issue 2, 2024 · pp. 57–65 Read article
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Advancements in Phishing Detection: Automated Systems in Real-World Scenarios
Abstract: The goal of the abstract is to offer an automated method that uses login URLs to identify real-world scenarios. Phishing is a type of cyberattack that involves social engineering, when malefactors trick victims into providing their login credentials via a login form that sends the information to a hostile site. In this research, we offer a system that uses URL analysis to detect phishing websites by comparing machine learning and …
Published in Journal of Telecommunication, Switching Systems and Networks · Vol. 11, Issue 2, 2024 · pp. 12–17 Read article
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Development of Herbal Mosquitoes repellent candle
Abstract: Citronella oil and essential oil are commonly used for their insect-repellent properties. They’re important for creating natural insect repellents, candles, and sprays, offering a safer alternative to chemical-based products. Citronella oil is particularly effective against mosquitoes, making it invaluable for outdoor activities and protecting against insect-borne diseases like malaria and Zika virus. Its pleasant scent also adds to its appeal as a natural air freshener. In a mosquito repellent study, …
Published in Recent Trends in Cosmetics · Vol. 1, Issue 2, 2024 · pp. 8–12 Read article