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88 articles for “recurrence”
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Evaluation of Temporal Distribution of Recurrent Cholera Outbreak in Zambia.
Abstract: Background: Cholera cases in Zambia have been observed over a period without understanding the epidemiological cycles. The aim of the study was to evaluate the temporal distribution of recurrent cholera outbreak in Zambia from 1977 to 2019. Methods: Cholera case records of both sex and all ages were retrospectively analyzed. The primary source documents were reviewed including infectious diseases line list, notifiable diseases reports, Health Impact Assessment, District Health Impact …
Published in Recent Trends in Infectious Diseases · Vol. 2, Issue 1, 2025 · pp. 10–21 Read article
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Strategies in the Battle against Recurrent UTIs: A Brief Overview
Abstract: Recurrent urinary tract infections (UTIs) present a serious medical issue, and such conditions can disappoint those affected. They are uncomfortable, but a difficulty arises because treating such conditions with antibiotics comes with the risk of antibiotic overuse. This summary will evaluate the measures incorporated in treating frequent UTIs in the contemporary world. These measures include taking antibiotics regularly to prevent infections and alternatives to antibiotics such as probiotics, cranberry extract, …
Published in Research and Reviews: A Journal of Pharmacology · Vol. 14, Issue 3, 2024 · pp. 68–73 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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Comprehensive Approaches to Seizure Control: Home Care & Hospital Care
Abstract: Seizures show up as sudden, uncontrollable brain electrical abnormalities. Those afflicted by this health issue can suffer greatly and usually call for quick and thorough treatment. Examining several facets of seizure control, including disease epidemiology, etiology, clinical presentation, categorization, as well as acute and long-term therapy techniques, this review. Furthermore, emphasized in the review are several new trends that might help with seizure control. Factors including CNS infections, metabolic abnormalities, …
Published in Research and Reviews : A Journal of Medical Science and Technology · Vol. 14, Issue 1, 2024 · pp. 30–34 Read article
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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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Optimized Sentiment Analysis Through TextBlob and Hybrid RNN Models
Abstract: In today’s world, analyzing people’s feelings from what they write online has become very important. This is because there is a large amount of content created by users. To make this analysis accurate and fast, we present a method. This method uses a mix of two approaches: one that looks up words in a dictionary and another that uses computer learning. TextBlob is an affordable tool for getting an initial …
Published in International Journal of Computer Science Languages · Vol. 4, Issue 1, 2026 · pp. 29–28 Read article
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An Automation Detection for Sign Language Using AI
Abstract: Sign language recognition has attracted considerable interest because of its ability to facilitate communication between the deaf community and the public, thereby bridging communication divides. Traditional approaches to sign language recognition often face challenges in accurately interpreting the complex and nuanced gestures inherent in sign languages. However, recent advancements in deep learning techniques have shown promising results in improving the accuracy and robustness of sign language recognition systems. This study …
Published in Recent Trends in Programming languages · Vol. 11, Issue 1, 2024 · pp. 1–14 Read article
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Controlling Media Player Through Hand Gesture Recognition System Using CNN and RNN Models
Abstract: Artificial intelligence markup language (AIML) project represents a pioneering endeavor in the realm of media player control through hand gesture recognition, merging advanced technologies like convolutional neural networks (CNN) and recurrent neural networks (RNN). By harnessing the image analysis capabilities of CNN, our system ensures accurate, real-time detection, and interpretation of intricate hand gestures, enabling users to interact with their media content naturally and seamlessly. What sets our project apart …
Published in Journal of Computer Technology & Applications · Vol. 15, Issue 1, 2024 · pp. 29–34 Read article
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Bacterial Spectral in UTI in a Hospital Environment
Abstract: Urinary tract infections (UTIs) represent a significant public health issue, primarily caused by a variety of pathogens such as Escherichia coli, Klebsiella pneumoniae, Proteus mirabilis, Enterococcus faecalis, and Staphylococcus saprophyticus. UTIs contribute substantially to illness and complications in individuals with pre-existing health conditions and account for a large portion of hospital visits globally. UTIs are usually self-limiting in people with no structural or functional problems, but they do tend to …
Published in Research and Reviews: A Journal of Health Professions · Vol. 14, Issue 2, 2024 · pp. 1–11 Read article
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CNN-BILSTM Architectures for Handwritten Signature Verification: Insights and Innovations
Abstract: Verifying handwritten signatures is essential for identity authentication to guard against fraud and guarantee security across a range of platforms. The approaches and developments in handwritten signature verification are examined in this review, with an emphasis on both offline and online techniques. While online methods use dynamic information like stroke order and speed, collected by specialized devices, offline verification uses scanned photographs of signatures. Even if technology is moving toward …
Published in Journal of Image Processing & Pattern Recognition Progress · Vol. 12, Issue 2, 2025 · pp. 43–50 Read article
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A Study of Cloud-Enabled Deep Learning for Monitoring and Predicting Soil Health in Agriculture
Abstract: Soil health is a critical factor in ensuring sustainable agricultural practices and food security. Traditional methods for soil health assessment are often time-consuming, localized, and lack scalability. This study explores the integration of cloud-enabled deep learning techniques to monitor and predict soil health efficiently. Leveraging data from IoT sensors, satellite imagery, and lab-based analyses, a cloud-based framework is proposed to process and analyze soil health parameters such as pH, moisture …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 2, 2025 · pp. 8–16 Read article
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Empowering Vehicle: The Impact of Deep and Reinforcement Learning in IoV
Abstract: Deep learning and reinforcement learning represent two pivotal pillars within the realm of artificial intelligence and machine learning, bearing transformative potential in the domain of the Internet of Vehicles (IoV). This abstract explores the multifaceted applications of these cutting-edge techniques within the IoV framework. Deep learning, exemplified by convolution neural networks (CNNs) and recurrent neural networks (RNNs), empowers IoV systems with the prowess to discern complex patterns in sensory data. …
Published in International Journal of Advanced Robotics and Automation Technology · Vol. 3, Issue 2, 2025 · pp. 1–12 Read article
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Elderly Healthcare Using Federated Learning Approach
Abstract: The healthcare system for elderly people faces several challenges, which can be addressed using advanced machine learning models. These models can help monitor chronic diseases, detect falls, and provide personalized health recommendations. The study uses comprehensive datasets like MIMIC-III/IV, WESAD, and UCIHAR to explore human movements, device limitations, and the differences in fall occurrences. A detailed review of existing literature discusses current technologies for activity monitoring and fall detection, focusing …
Published in Current Trends in Information Technology · Vol. 16, Issue 1, 2025 · pp. 13–23 Read article
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Online Hate Speech on Social Media Platforms
Abstract: Social media is an online interactive digital platform which allows large number of group of people to connect with each other virtually, to create content and share their thoughts, information, ideas, and much more in the form of text, pictures, and videos. But sometime people share their negative view, and their message is turned into hate speech. Hate speech is of two types: online and offline. Online hate speech spreads …
Published in International Journal of Mobile Computing Technology · Vol. 2, Issue 1, 2024 · pp. 16–25 Read article
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Smart Patient Monitoring and Motion Tracking System
Abstract: The integration of smart technologies in healthcare has revolutionized patient monitoring and diagnostics. This paper presents a Smart Patient Monitoring and Motion Tracking System designed for hospitals, leveraging EEG (Electroencephalogram) signals to track patient movements and monitor neurological health. The proposed system combines motion tracking with real time EEG signal analysis to enhance patient safety, especially for individuals prone to seizures, neurological disorders, or other mobility-related risks. The system employs …
Published in International Journal of Radio Frequency Innovations · Vol. 3, Issue 2, 2025 · pp. 9–23 Read article
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A Gamified Digital Platform for Sustainable Farming Practices: Simulation, Statistical Analysis, and Water Resource Management Implications
Abstract: Sustainable farming practices play a critical role in enhancing agricultural water use efficiency, conserving limited water resources, and ensuring long-term food security under increasing environmental and climatic pressures. Despite their importance, farmer participation in conventional agricultural extension and training programs remains limited due to low engagement and a lack of sustained motivation. To address this challenge, this study proposes a gamified digital decision-support platform aimed at promoting sustainable agricultural and …
Published in Journal of Water Resource Engineering and Management · Vol. 13, Issue 1, 2026 · pp. 13–24 Read article
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AI-Based Machine Learning Web Application Firewall (ML-WAF)
Abstract: This research investigates the use of deep learning techniques for the real-time detection of malicious activities in web traffic and proposes an intelligent, AI-driven Web Application Firewall (WAF) designed to provide automated and adaptive security. The system analyzes diverse components of HTTP requests, including request methods, URLs, headers, cookies, and payload content, to accurately identify and classify malicious behavior. The proposed model targets a wide range of common and critical …
Published in Journal of Computer Technology & Applications · Vol. 17, Issue 1, 2026 Read article
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Comprehensive Review of Adenoid Cystic Carcinoma: Pathogenesis, Diagnosis, and Emerging Therapeutic Approaches
Abstract: Adenoid cystic carcinoma (ACC)is an infrequent neoplasm, highly malignant, that develops mainly in the salivary glands with the potential to exist in any secretory glandular sites, including the lacrimal glands, breast, and respiratory tract. ACC usually has a benign initial course, but conversely, it is notoriously aggressive in behavior with high incidence of perineural invasion, local recurrence, and distant metastasis, mostly to the lungs. The tumor’s molecular features are characterized …
Published in Research and Reviews: Journal of Oncology and Hematology · Vol. 14, Issue 3, 2025 · pp. 1–17 Read article
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Evaluating the Benefits of Lift Procedure for Fistula in Ano: A Peripheral Centre Experience
Abstract: Introduction: Surgery is considered the only definitive treatment for anal fistula. Many surgical techniques have been described. The aim of this study was to communicate the authors’ preliminary experience in the use of a very recent, simplified technique, at a peripheral surgical centre. Patients And Methods: This was a retrospective study of 10 patients of Fistula-in-ano admitted from October 2021 through September 2023. Patients were managed with the ligation of …
Published in Research and Reviews : Journal of Surgery · Vol. 13, Issue 2, 2024 · pp. 17–20 Read article
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An Ayurveda Management of High Level of Fecal Calprotectin – A Single Case Study
Abstract: Calprotectin is protein found in leucocytes. Calprotectin plays a crucial role in various physiological processes, including cell differentiation, immune modulation, tumor development, programmed cell death, and inflammatory responses. Gut inflammation due to various cause like genetic inheritance, changes in microbiota within intestine, defective immune regulation. Also, some infective such as salmonella, E. coli, Cytomegalovirus, Amoebiasis etc., and Non-infective such as Ischaemic colitis, Non-steroidal anti-inflammatory drugs, Colonic carcinoma etc., can mimic …
Published in Research and Reviews : A Journal of Ayurvedic Science, Yoga and Naturopathy · Vol. 11, Issue 3, 2024 · pp. 19–25 Read article