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147 articles for “detection rate”
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The Role of Rubella Virus Infection among Women with Spontaneous Abortion in Al-Najaf Governorate
Abstract: Rubella virus could cause a spectrum of birth defects known as Congenital Rubella Syndrome (CRS) if the infection occurs within the first or second trimester of pregnancy. Repeated miscarriage is defined as a condition with two or more consecutive abortions before the 20–25 weeks of gestation. Rubella remains to be a severe public health problem in developing countries. Recurrent miscarriage is a multi-factorial disease, which occurs in approximately 1%–2% of …
Published in International Journal of Virus Studies · Vol. 3, Issue 2, 2026 · pp. 1–6 Read article
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Anti-molestation Device with Heart Rate Sensor
Abstract: Over the last few years, the status of women in India has changed dramatically. Women, however, continue to face social problems and are frequently victims of abuse and violent crimes. Every day, hundreds of thousands of women are subjected to acts of manhandling. Our project’s sole strategy is to provide police, friends, parents, and women’s cell with an instant location and a message to a predefined number in order to …
Published in Journal of Mobile Computing, Communications & Mobile Networks Read article
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Seasonal Dynamics of Coastal Landscapes: A Critical Review Using Remote Sensing and GIS
Abstract: Coastal landscapes are among the most dynamic environments on Earth, undergoing continuous transformation due to both natural processes and anthropogenic activities. In India, particularly along the southern coastal regions of Andhra Pradesh, Tamil Nadu, and Kerala, shoreline morphology and sediment transport patterns are significantly influenced by seasonal monsoons, cyclones, storm surges, waves, tides, and changing river discharges. These factors contribute to varying rates of coastal erosion, accretion, inundation, and land- …
Published in Journal of Remote Sensing & GIS · Vol. 17, Issue 2, 2026 Read article
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Estimation of Alogliptin and Dapagliflozin in Synthetic Mixture by RP-HPLC Method
Abstract: The primary objective of the proposed research was to develop and validate analytical methods for the simultaneous quantification of Alogliptin and Dapagliflozin in a synthetic mixture. Alogliptin and Dapagliflozin are medications used for managing diabetes, with Alogliptin inhibiting the enzyme Dipeptidyl peptidase-4 and Dapagliflozin belonging to the class of sodium-glucose cotransporter 2 inhibitors. High-performance liquid chromatography method development was conducted using a C18 column (250 mmX4.6 mm, 5 μm particle …
Published in Research and Reviews: A Journal of Pharmaceutical Science · Vol. 15, Issue 2, 2024 · pp. 37–46 Read article
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Hand Gesture Recognition Systems: A Review of Vision-based and Sensor-based Approaches
Abstract: With many real-world uses, such as sign language translation and human-computer interaction, hand gesture detection is a crucial area of study in the science of computer vision. In this study, we propose a Convolutional Neural Network (CNN) model that uses real-time camera images to recognise hand gestures. A collection of hand motion photographs spanning the English alphabet (A-Z) was gathered, and the images were pre-processed to exclude any backdrop and …
Published in International Journal of Optical Innovations & Research · Vol. 1, Issue 1, 2023 · pp. 15–20 Read article
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Antibiotic Resistance Profiles of Salmonella Isolated from Al-Gharraf River and Iraqi Sewage
Abstract: Salmonella is a Gram-negative bacterium belonging to the Enterobacteriaceae family. It has a rod-shaped (bacillus) structure. Salmonella is a prominent contributor to gastrointestinal sickness worldwide. In addition, it is the causative agent of more systemic severe disorders such as typhoid and paratyphoid fevers. Salmonella is primarily recognized as pathogens transmitted by water and food to people and animals. Salmonella is often found in water-related epidemics, even though it is routinely …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 · pp. 1–10 Read article
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A Comprehensive Review of CAN Bus And IEEE 802.11b Networks: Evolution, Performance, and Wireless Extensions
Abstract: The Controller Area Network (CAN) bus has been a cornerstone in vehicular communication, facilitating robust and efficient data exchange among electronic control units (ECUs). This paper provides a comprehensive review of the classical CAN bus, CAN FD, and their key attributes, including message prioritization, arbitration mechanisms, and error detection. Additionally, the paper explores the IEEE 802.11b wireless standard, emphasizing its potential for extending CAN-based networks into wireless domains. The study …
Published in Journal Of Network security · Vol. 13, Issue 2, 2025 · pp. 26–39 Read article
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Optimizing Chromatographic Techniques for Comprehensive Paraben Analysis to Enhance Safety in Consumer Products
Abstract: Parabens (PBs), such as methylparaben (MePB), ethylparaben (EtPB), propylparaben (PrPB), and butylparaben (BuPB), are widely used as preservatives in pharmaceuticals, food, and personal care products due to their antibacterial properties. However, there are growing worries about their potential to disrupt hormonal functions, which has led to stricter regulations. This study focuses on creating a robust high-performance liquid chromatography (HPLC) method for quickly measuring all four parabens in consumer goods. We …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 228–243 Read article
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Ai-Driven Healthcare System for Enhanced Diagnosis and Patient Interaction
Abstract: Deep learning techniques are used in an AI-driven healthcare system to improve disease identification and medical picture analysis. Data collection, preprocessing, model training, and evaluation are all part of the system's systematic workflow. Various deep learning architectures, such as ResNet50, VGG-16, and U-Net, are employed for precise classification and segmentation of medical images. The approach incorporates advanced techniques such as optimization, transfer learning, and data augmentation to significantly enhance the …
Published in Research and Reviews: A Journal of Health Professions · Vol. 15, Issue 2, 2025 Read article
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Real-Time Air Quality Prediction Using IoT-Integrated Polymer Sensors and Recurrent Neural Networks
Abstract: Real-time air quality monitoring remains a critical challenge in urban environments, where traditional sensor infrastructures often suffer from limited responsiveness, poor scalability, and high deployment costs. The increasing prevalence of NO₂ pollution, a key contributor to respiratory and cardiovascular ailments, demands advanced sensing platforms capable of both accurate detection and predictive inference. Existing methods either rely on rigid electronic sensors lacking adaptability or on statistical forecasting models that fail to …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 332–347 Read article
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Geochemometric Assessment of Primordial Radionuclides and Trace Elements in Coastal Sediments: Environmental and Radiological Implications for South India
Abstract: This study focuses on environmental radioactivity and trace element contamination in coastal sediments along the southern region of the Indian subcontinent, from the Palar River to Pulicat Lake. Utilizing gamma-ray spectroscopy with a NaI (Tl) detector, along with atomic absorption spectroscopy, the research examines the spatial distribution and activity concentrations of primordial radionuclides—namely, 238U, 232Th, and 40K—as well as trace elements such as Ni, Pb, Mn, Zn, Cu, Co, Fe, …
Published in International Journal of Minerals · Vol. 1, Issue 1, 2024 · pp. 33–37 Read article
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Procedure for Conventional Facial Emotion Detection Algorithms Based on Machine Learning
Abstract: Researchers in psychology, computer science, linguistics, neurology, and allied fields have become more interested in a human-computer interface system for autonomous face recognition or facial expression recognition. This study has recommended an Automatic Facial Expression Recognition System (AFERS). The proposed methodology consists of face detection, feature extraction, and facial expression identification processes. The initial phases of the face detection procedure include skin color identification using the YCbCr color model, illumination …
Published in International Journal of Electronics Automation · Vol. 1, Issue 1, 2023 · pp. 07–13 Read article
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Detecting Fake Accounts on Social Media Using Machine Learning
Abstract: The growing frequency of fake accounts on social media platforms underscores the critical necessity for effective detection methods. In response to this challenge, our study leverages state-of-the-art machine learning techniques to identify and counter deceptive entities effectively. By conducting a thorough analysis of social media data, our approach unveils intricate patterns indicative of fraudulent accounts, enabling proactive measures against them. Through the application of advanced algorithms, we present a comprehensive …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 11, Issue 2, 2024 · pp. 21–32 Read article
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Towards smart cancer care - AI enhanced monitoring and intervention
Abstract: According to estimates from the World Health Organization (WHO) for 2022, cancer is one of the leading causes of mortality, accounting for roughly 16% of all deaths globally. The goal of the cancer community is to improve the lives of those who are impacted by cancer and to cut the cancer death rate in half during the next several years. If cancer is identified early and treated, its impact on …
Published in Journal of Microwave Engineering and Technologies · Vol. 12, Issue 1, 2025 · pp. 38–44 Read article
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Smart Education through Machine Learning: A Review of Trends, Benefits, and Risks
Abstract: Machine learning (ML) is transforming the contemporary education by transforming it into smarter, data-driven and personalised learning. This review examines the key tendencies, advantages, and possible threats of applying ML in intelligent education. ML promotes adaptive learning, automatization of assessments, and student engagement, which is highly beneficial both to learners and educators. Nonetheless, issues like data privacy, algorithmic bias or unequal access are also a significant concern. The article emphasises …
Published in International Journal of Education Sciences · Vol. 3, Issue 2, 2026 · pp. 24–28 Read article
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Advancing EEG Technology for Affordable and Effective Epilepsy Detection
Abstract: For a proper diagnosis and prompt treatment, epilepsy, a neurological condition marked by recurring seizures, needs to be continuously monitored. Manual interpretation is frequently used in traditional approaches for identifying epileptic seizures from electroencephalogram (EEG) signals, which can be laborious and error-prone. In this research, a novel method for automatically detecting epilepsy from EEG data using deep learning algorithms is presented. According to centers for disease control and prevention (CDC) …
Published in Trends in Opto-electro & Optical Communication · Vol. 14, Issue 3, 2024 · pp. 11–18 Read article
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Network Monitoring Tool in Shell Programming
Abstract: Network monitoring is the systematic effort of a computer network to detect slow or failing network components such as overloaded or crashed/frozen servers, failing routers, failed switches, or other problematic devices. The network monitoring system notifies the network administrator in the event of a network failure or other outage. Network management is a subset of network monitoring. Network monitoring is typically accomplished through the use of software applications and tools. …
Published in Journal of Advances in Shell Programming Read article
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Viral Chronicles: The Ever-Evolving Saga of COVID-19
Abstract: Coronaviruses, belonging to the family of RNA viruses, have recently captured global attention owing to their remarkable ability to infect a diverse array of species, ranging from animals to humans. These viral agents, recognized by their characteristic crown-like morphology when observed through electron microscopy, have a historical association with zoonotic diseases. Previous examples include Severe Acute Respiratory Syndrome Coronavirus (SARS-CoV) and Middle East Respiratory Syndrome Coronavirus (MERS-CoV). The term "Corona" …
Published in International Journal of Virus Studies · Vol. 1, Issue 1, 2024 · pp. 16–25 Read article
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Overview of Diabetic Neuropathy: A Comprehensive Examination
Abstract: Abstract: India has earned the unfortunate distinction of being the global epicenter for diabetes, with an alarming projection of 109 million individuals expected to be afflicted by the condition by 2035The global influence of diabetic neuropathy is significant, with an estimated 132 million individuals affected as of 2010, constituting roughly 1.9% of the global populace. Notably, within the diabetic population, there exists a significantly heightened prevalence The prevalence of sensory …
Published in Research and Reviews: A Journal of Toxicology · Vol. 14, Issue 1, 2024 · pp. 26–36 Read article
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RP-HPLC method for simultaneous determination of Drospirenone and Ethinylestradiol in Bulk and their Pharmaceutical dosage form
Abstract: Oral contraceptive is used to prevent the pregnancy which is contain hormones to block the release of eggs from the ovaries. Most of them contain estrogen and progesterone. Nowadays, usage of hormonal contraceptive is sharply enhancing; around 100 million of women worldwide are taking these drugs. With this drug fertility rate can be supressed as long as they want or plan their activity along with these drugs provide efficacy, reliability, …
Published in Trends in Drug Delivery · Vol. 11, Issue 3, 2024 · pp. 46–67 Read article