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47 articles for “face detection”
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The Role of Artificial Intelligence in ICU Patient Monitoring and Predictive Analytics: A Prospective Cohort Study
Abstract: Background: Intensive Care Units (ICUs) face challenges in effectively monitoring critically ill patients. Traditional monitoring methods may not detect subtle signs of deterioration in time, leading to worsened outcomes. Artificial Intelligence (AI)-driven monitoring systems have emerged as a potential solution, promising improved predictive capabilities and patient outcomes. Objective: This study aimed to evaluate the impact of AI-based monitoring systems on ICU patient outcomes, focusing on mortality rates, length of ICU …
Published in International Journal of Nursing Critical Care · Vol. 11, Issue 1, 2025 Read article
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Nanotechnology: Revolutionizing the World of Sensors
Abstract: Sensors are ubiquitous in modern society, playing critical roles in fields ranging fromenvironmental monitoring and healthcare diagnostics to industrial automation and food safety.However, traditional sensor technologies often face limitations in response time, sensitivity, andspecificity, hindering their effectiveness in applications demanding rapid and precise detection.Nanotechnology offers a powerful toolbox to overcome these challenges, enabling thedevelopment of advanced sensors with unprecedented performance. This article explores thetransformative impact of nanotechnology on sensor technology, …
Published in International Journal of Applied Nanotechnology · Vol. 11, Issue 2, 2025 Read article
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DEVELOPING A DRIVER DROWSINESS DETECTION SYSTEM (DDDS)
Abstract: Driver drowsiness accounts for over 18% of all traffic accidents in India, making it a major contributing factor. This study proposes a real-time, edge-based Driver Drowsiness Detection System (DDDS) that detects early fatigue signs and alerts drivers prior to accidents. The system employs a multimodal, bimodule strategy. In order to track face traits such eye closure, blink rate, yawning, head position, and gaze direction, the first module uses computer vision. …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 12, Issue 2, 2026 Read article
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A Machine Learning Framework for Fake News Detection Using Embeddings and Dimensionality Reduction
Abstract: The broad sharing of information throughout human history was greatly accelerated by the emergence of the World Wide Web and the swift rise of social networking platforms such as Facebook and Twitter. Due to the extensive use of social media, users now generate and distribute vast amounts of content at an unprecedented rate, and a portion of this information is inaccurate or detached from factual reality. Automatically classifying a written …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 8–14 Read article
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Identifying the Age Using Face Image Using DWT, LBP, SVM and k-NN
Abstract: ABSTRACTThe research related to identifying the age using face images has become progressively more important, due to the fact it has a multiplicity of potentially helpful applications. In this paper we survey the complete age synthesis or age estimation from face images techniques. Automatic facial age identifying is one of the main issues in pattern recognition which shows the age of human according to her/his facial expressions. Basically, age detection/estimation …
Published in International Journal of Image Processing and Pattern Recognition · Vol. 6, Issue 2, 2020 · pp. 26–37 Read article
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Detection of Hate Speech on Social Media Using Machine Learning
Abstract: As we know, social media platforms are the fastest method of communication because information is transmitted and received virtually instantaneously. Social media platforms' development radically altered how people communicate in our world, and one effect of these changes is a rise in inappropriate behaviors, like the use of derogatory language online. It might be challenging to express harsh or disrespectful ideas to someone right in the face. People believe it …
Published in International Journal of Software Computing and Testing · Vol. 8, Issue 2, 2022 · pp. 1–6 Read article
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Biometric Fingerprinting and Face Recognition Based Security System
Abstract: ABSTRACTThere are several applications of biometric and face recognition based security system like industries, offices and colleges or homes. This project is an amalgamation of “BT” and “ESD”. The most important part of this system is the fingerprint sensor. Fingerprints of the person is detected using biometric sensor to detect fingerprint. The techniques used for detecting fingerprint are ultrasonic, optical method or thermal. In this paper, fingerprint sensor is used. …
Published in International Journal of Digital Communication and Analog Signals · Vol. 6, Issue 1, 2020 Read article
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A Comprehensive Study on Evolvable Hardware
Abstract: AbstractEvolvable Hardware (EHW) is an innovative approach to hardware design that utilizes evolutionary algorithms, such as Genetic Algorithms (GAs) and Genetic Programming (GP), to enable electronic systems to autonomously adapt, optimize, and reconfigure themselves in response to changing environments or requirements. Inspired by natural evolution, EHW dynamically evolves hardware configurations through selection, mutation, and crossover, allowing systems to improve performance, enhance fault tolerance, and achieve greater energy efficiency. Central to …
Published in International Journal of Analog Integrated Circuits · Vol. 11, Issue 1, 2025 · pp. 16–22 Read article
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Effective Power Theft Identification in Advanced Metering Infrastructure with the Use of Smart Metre Data – A Review
Abstract: Power theft, also known as the unlawful act of stealing electrical energy, encompasses a range of illegal actions, such as tampering with meters, unauthorized connections, billing discrepancies, and unpaid bills. With advancements in electronic meters, tampering and magnetic locking have become virtually impossible. Consequently, the most common types of power theft today involve direct hooking from the power line, physical obstructions, and bypassing the energy meter. Power consumer dishonesty is …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 30–37 Read article
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Effective Power Theft Identification in Advanced Metering Infrastructure with the Use of Smart Metre Data-A Review
Abstract: Power theft, also known as the unlawful act of stealing electrical energy, encompasses a range of illegal actions such as tampering with meters, unauthorized connections, billing discrepancies, and unpaid bills. With advancements in electronic meters, tampering and magnetic locking have become virtually impossible. Consequently, the most common types of power theft today involve direct hooking from the power line, physical obstructions, and bypassing the energy meter. Power consumer dishonesty is …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 11–20 Read article
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Strategy and Simulation of Smart Prepaid-PostpaidElectricity Meter with Alarm and Anti-Theft Controller
Abstract: Prepaid electricity meters with electrical protection generally control internal electricity and external electricity theft as whole electricity. Internal electricity theft occurs after the electrical energy is captured by the meter, while external electricity theft occurs before the electrical power reaches the meter. The percentage of electricity revenue was lost due to electricity theft and mismanagement. However, most of these losses are due to electricity theft. Illegal electricity use must be …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 12–23 Read article
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Effective Power Theft Identification in Advanced Metering Infrastructure with the Use of Smart Metre Data-A Review
Abstract: Abstract- Power theft, also known as the unlawful act of stealing electrical energy, encompasses a range of illegal actions such as tampering with meters, unauthorized connections, billing discrepancies, and unpaid bills. With advancements in electronic meters, tampering and magnetic locking have become virtually impossible. Consequently, the most common types of power theft today involve direct hooking from the power line, physical obstructions, and bypassing the energy meter. Power consumer dishonesty …
Published in International Journal of Microwave Engineering and Technology · Vol. 10, Issue 2, 2024 · pp. 11–20 Read article
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Nanomedicine as a Potential Therapeutic Approach to COVID-19.
Abstract: A major contribution of nanotechnology has been the rapid and accurate diagnosis of COVID-19. The ability to work with matter at the nanoscale has led to the development of extremely sensitive and precise diagnostic tools, which have aided in the containment and management of the pandemic. Though we continue to face challenges, nanotechnology holds great promise for the medical field and offers hope for the fight against future epidemics. Using …
Published in International Journal of Applied Nanotechnology · Vol. 9, Issue 2, 2023 · pp. 27–35 Read article
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Intelligent Data Analytics on Cloud Infrastructure:Real-Time Insights and Managed Service Models
Abstract: This paper examines the integration of advanced data analytics and machine learning within modern cloud infrastructure, highlighting how organizations can transform large volumes of unstructured data into actionable business insights that drive competitive advantage. Cloud platforms leverage scalability and elasticity to efficiently process and analyze massive datasets in real time, allowing enterprises to identify hidden patterns, detect operational anomalies early, and generate accurate forecasts of future outcomes. A key factor …
Published in International Journal of Distributed Computing and Technology · Vol. 12, Issue 1, 2026 · pp. 36–46 Read article
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Inhibitors Used to Control Corrosion of Mild Steel in Crude Oil Recovery
Abstract: Industries first select construction materials on the basis of safety and cost-effectiveness. Physical requirements can be satisfied easily but corrosion effects seriously complicate the selection of suitable materials. The corrosion-mitigations can be enhanced by the coating of organic and inorganic substance but its costs must also be considered. The cost of material depends upon design and physical requirements of the material. The attractive facial appearance makes the material expensive. Initially …
Published in International Journal of Composite and Constituent Materials · Vol. 7, Issue 1, 2021 · pp. 18–39 Read article
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Hybrid Evolutionary Algorithm for Automated Test Case Generation in Large-Scale Software Systems
Abstract: Automated test case generation is a crucial activity for ensuring the reliability, robustness, and quality of large-scale software systems. Conventional test generation techniques often face significant challenges in handling scalability, achieving high code coverage, and adapting to complex and heterogeneous software architectures. Evolutionary algorithms have emerged as effective solutions, capable of exploring large search spaces and generating test suites with improved coverage and fault detection capabilities. However, individual evolutionary strategies, …
Published in International Journal of Software Computing and Testing · Vol. 12, Issue 1, 2026 · pp. 15–21 Read article
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Advanced Power Grid
Abstract: The electric power transmission systems of tomorrow must incorporate advanced hardware and software technologies to increase reliable long-distance power transfer. While new hardware technologies can improve transmission system capabilities, software technologies are also needed to coordinate these hardware technologies safely, securely, and effectively. To prevent system failures, future transmission systems must integrate advanced hardware and software technologies across new and existing facilities, allow revolutionary improvements in power grid utilization, and …
Published in International Journal of Electrical Power System and Technology · Vol. 3, Issue 2, 2017 · pp. 16–22 Read article
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The Role of Obstetric and Gynecological Nursing in Enhancing Maternal and Neonatal Health Outcomes
Abstract: Obstetric and Gynecological (OBG) Nursing is a specialized nursing discipline that focuses on the comprehensive health care needs of women throughout their lifespan, from puberty to post-menopause. This field plays a crucial role in promoting maternal and neonatal health, reducing maternal and infant mortality rates, and supporting women’s reproductive rights. OBG nurses provide holistic care encompassing the entire continuum of reproductive health, including antenatal, intranatal, and postnatal care, gynecological management, …
Published in International Journal of Obstetrics, Perinatal and Neonatal Nursing · Vol. 12, Issue 1, 2026 · pp. 21–25 Read article
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Exploring the Connection Between Diabetes and Vision Loss in Older Adults
Abstract: Diabetes is a significant public health concern, particularly among older adults, where its prevalence is rising rapidly. One of the most serious complications of diabetes is its detrimental impact on eye health, leading to conditions, such as diabetic retinopathy, cataracts, and glaucoma. This review seeks to clarify the intricate connection between diabetes and vision loss in the elderly population. Diabetic retinopathy, which involves damage to the retina caused by prolonged …
Published in International Journal of Geriatric Nursing · Vol. 7, Issue 2, 2024 · pp. 1–4 Read article
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Development and Fabrication of Capsees
Abstract: Although the development of tools for visually impaired individuals is not a new problem, the field of computer-aided tools is still evolving. The primary objective of these systems is to assist users in independent navigation without relying on a second person. While there are existing works utilizing computer vision techniques, none of them can address all the fundamental needs of blind individuals. Current systems are typically designed for specific purposes, …
Published in International Journal of Computer Aided Manufacturing · Vol. 9, Issue 2, 2023 · pp. 25–33 Read article