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672 articles for “PrEP”
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AGRISMART: Crop and Soil Management System
Abstract: Agriculture has played a crucial role in developing countries where the majority of the rural population relies on it for their livelihoods. A finer-grade crop classification has become crucial in the context of precision agriculture. In recent years, the volume of open image data has grown significantly. This can be used in combination with machine learning techniques to classify crop types in the agricultural industry. The proposed crop species recognition …
Published in Journal of Remote Sensing & GIS · Vol. 16, Issue 3, 2025 · pp. 50–55 Read article
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AI Based Mock Interview Evaluator
Abstract: AI-based mock interview platform that acts as a bridge between real interviews and preparation. The system evaluates users based on emotions, confidence, and knowledge. Emotions are analyzed using a deep learning CNN algorithm to classify facial expressions. Confidence is also a main feature in interview which is assessed through speech recognition using natural language processing. Knowledge assessment involves taking online tests and answering along with the description. This platform aims …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 2, 2024 · pp. 1–5 Read article
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Designing a Disaster Resilient Community in Flood prone zones of Srinagar, Uttarakhand.
Abstract: Uttarakhand, a state that scuffles with the dual challenges of climate change and rapid development, is particularly vulnerable to devastating floods. This research delves into the critical issue of strengthening community resilience against such disasters. By examining the interconnected factors of preparedness, mitigation, and response, the study aims to develop a robust framework for safeguarding lives and livelihoods in flood-prone regions. A cornerstone of this research is the exploration of …
Published in International Journal of Environmental Planning and Development Architecture · Vol. 2, Issue 2, 2024 · pp. 8–19 Read article
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Real-time DDoS Attack Prediction in SDN Environments Using Machine Learning
Abstract: The ever-growing reliance on sdn-based services necessitates robust security measures against Distributed Denial-of-Service (DDoS) attacks that threaten service availability. This project investigates the development of a real-time prediction system for DDoS attacks in sdn environments, leveraging the power of machine learning. The proposed system employs a Decision Tree classification algorithm implemented in Python. To ensure accurate attack identification, the system meticulously addresses data preprocessing challenges inherent in network traffic datasets. …
Published in Journal Of Network security · Vol. 13, Issue 1, 2025 · pp. 16–27 Read article
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Automated Crop Disease Detection Using Convolutional Neural Networks
Abstract: Crop diseases contribute to major losses in agricultural production worldwide generating enormous economic costs. This study investigates the possibility of Convolutional Neural Networks (CNN) imaging techniques to auto-detect diseases associated with plants through image processing. A model was developed and trained on a publicly available plant disease dataset containing labeled images of several diseases. The CNN could classify various plant diseases with accuracy of 95%, precision of 92%, and recall …
Published in International Journal of Cheminformatics · Vol. 3, Issue 2, 2025 · pp. 7–15 Read article
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Advances in Nanocellulose-Enhanced Polymers and Composites: Structure, Performance, and Applications
Abstract: The most common biopolymer is cellulose, which can be converted into nanocellulose (NC) the sustainable nanomaterial possessing the outstanding characteristic of biodegradability, renewability, low density, high aspect ratio, and excellent mechanical performance. Such distinctive features make NC a promising filler in polymer and composite systems. Recent developments in the preparation of nanocellulose using various natural and artificial sources have facilitated scalable production processes that have less energy requirements and are …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 1610–1623 Read article
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Smile Perfection with Veneers: Current Concepts and Techniques
Abstract: Veneers represent one of the most remarkable developments in dentistry over the last 25 years. The breakthrough that porcelain could be bonded to composite materials and subsequently to the tooth surface has transformed aesthetic dental treatment. Veneers not only improve facial aesthetics but also enhance self-esteem, positively influence personal interactions, and can even play a role in professional advancement. These restorations offer excellent cosmetic outcomes while maintaining a significant portion …
Published in Research and Reviews: A Journal of Dentistry · Vol. 16, Issue 2, 2025 · pp. 12–18 Read article
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Development and Assessment of Levetiracetam Microspheres Utilizing Synthetic and Natural Polymers: A Biomedical Engineering Perspective
Abstract: In the present study, comparative study of Levetiracetam loaded microspheres using Ethyl cellulose as synthetic and Sodium alginate as natural polymers was done. Solvent evaporation and ionic gelation technique has been successfully employed to produce Levetiracetam loaded ethyl cellulose and sodium alginate microspheres with optimal drug encapsulation that sustained the drug release over a period of time. Based on the pre-formulation studies E1 to E4 and S1 to S4 batches …
Published in International Journal of Biomedical Innovations and Engineering · Vol. 2, Issue 1, 2024 · pp. 1–18 Read article
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The Effects of HIV/AIDS Worldwide
Abstract: The Human Immunodeficiency Virus (HIV), which targets immune system conductors (CD4 cells), has infected millions throughout the world. HIV lowers the body's defences by infecting certain bodily fluids (blood, sperm, vaginal fluids, and breast milk) through unprotected sex, contaminated needles, or mother-to-child transmission. Early flu-like symptoms may go unrecognised, but if not treated, HIV advances to AIDS, which is characterised by severe immune system impairment. However, advances in antiretroviral therapy …
Published in International Journal of Virus Studies · Vol. 1, Issue 1, 2024 · pp. 26–31 Read article
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Exploring GeoAlert: An IoT Approach to Weather Station Networks
Abstract: The innovative project "Geo-Alert: IoT Based Weather Station" uses Internet of Things, or IoT, technologies to monitor and respond to environmental circumstances, such as flood hazards, weather variations, and seismic events. This system sends real-time data to the Blynk IoT cloud, enabling seamless remote monitoring and analysis. It does this by utilising a combination of specialised sensors, such as vibration sensors for earthquake detection, DHT11 and MQ series sensors for …
Published in Research & Reviews : Journal of Space Science & Technology · Vol. 13, Issue 1, 2024 · pp. 27–36 Read article
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Network Intrusion Detection System Using Decision Tree
Abstract: This paper presents a novel approach to network intrusion detection systems (NIDS) using advanced decision tree algorithms to address critical limitations in existing IDS solutions. Traditional IDSs often struggle with high false positive and negative rates, lack of scalability, and poor interpretability. Our proposed IDS leverages decision trees to enhance detection accuracy, interpretability, and scalability, thereby improving network security. Decision trees are chosen for their adaptive learning capabilities, transparent decision-making …
Published in Journal Of Network security · Vol. 12, Issue 2, 2024 · pp. 22–33 Read article
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Fertilizer Prediction Using Machine Learning
Abstract: Fertilizer prediction is a critical aspect of modern agriculture, aimed at optimizing resource utilization while maximizing crop yields. In recent years, machine learning (ML) techniques have emerged as powerful tools for addressing this challenge by leveraging data-driven approaches to predict the optimal type and quantity of fertilizer required for different crops and soil conditions. This research paper provides a comprehensive review of the existing literature and methodologies employed in fertilizer …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 2, 2024 · pp. 26–35 Read article
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Detection of Phishing Website URLs and Email/SMS Using Random Forest and Multinomial Naive Bayes
Abstract: Currently, phishing attacks via SMS/email and URL have become significant threat to cybersecurity, posing risks to both individuals and organizations alike. Phishing attacks typically involve the creation of fraudulent websites or the dissemination of deceptive emails and SMS messages to trick users into disclosing sensitive information such as passwords, credit card numbers or personal details. To respond to these attacks, we develop a robust system for the detection of phishing …
Published in Journal of Computer Technology & Applications · Vol. 16, Issue 1, 2025 · pp. 22–30 Read article
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AI Bias: Causes, Impacts, and Ways to Address It
Abstract: As artificial intelligence (AI) continues to permeate various aspects of society, from healthcare and criminal justice to finance and hiring, concerns over its ethical implications have gained increasing attention. A significant ethical concern is the existence of bias in AI systems. Such biases, often rooted in the prejudices present in training data, can lead to unfair and discriminatory consequences, disproportionately affecting marginalized groups. This paper examines the ethical challenges related …
Published in International Journal of Algorithms Design and Analysis Review · Vol. 3, Issue 1, 2025 · pp. 55–62 Read article
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Effect of Different Incubation Times on the Effectiveness of Oyster Mushrooms Towards the Growth of Some Fungal Isolates
Abstract: The study was conducted by preparing the filtrate of the oyster mushroom Pleurotus ostreatus, where the effectiveness of the fungal filtrate prepared from growing the fungus in the liquid Potato Dextrose Broth (PDB) medium was selected for two different periods (14, 28 days) in inhibiting some types of fungi (Aspergillus Spp : Aspergillus niger ،Aspergillus flavus, Aspergillus terreus) and some types of fungi (Candida Spp: Candida albicans, Candida tropicalis, Candida …
Published in Research and Reviews : A Journal of Life Sciences · Vol. 15, Issue 2, 2025 · pp. 1–8 Read article
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The Role of IoT in Shaping Smart Cities with Architectural Perspective
Abstract: The integration of IoT in smart cities is revolutionizing the development of cities through interconnected systems that enhance efficiency, sustainability, and quality of life. Real-time data collection,communication, and processing are facilitated by IoT technology through its layered architecture:sensing, network, and application layers. These interlinked ecosystems help solve such serious problems of urbanization as the efficient allocation of resources, smooth flow of traffic, efficient utilization of energy, and the handling of …
Published in Journal of Control & Instrumentation · Vol. 16, Issue 2, 2025 · pp. 1–10 Read article
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Continuous Learning in Language Models: A Survey of Streaming Data Processing Techniques
Abstract: The integration of continual learning with Large Language Models (LLMs) and Natural Language Processing (NLP) represents a transformative step toward creating adaptive, intelligent systems capable of functioning effectively in ever-changing environments. Traditional LLMs are typically trained on large, pre-collected datasets, which limits their ability to evolve as new information emerges. Continual learning, in contrast, enables models to acquire new knowledge incrementally without the need for complete retraining, thereby supporting long-term …
Published in Recent Trends in Programming languages · Vol. 12, Issue 3, 2025 · pp. 23–34 Read article
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Synthesis, Antibacterial Evaluation and Antifungal Study of New Biochemical Derivatives
Abstract: Bacterial and fungal infections have become widespread recently due to the spread of epidemics, diseases, and bacterial infections. As a result, infection rates have increased, prompting many researchers to develop new antibiotics to reduce the spread of these prevalent diseases. Researchers have prepared biochemical compounds similar in structure to drugs that eliminate infections and reduce their spread. One such derivative is imidazole; a well-known compound used in many medications for …
Published in Recent Trends in Infectious Diseases · Vol. 3, Issue 1, 2026 · pp. 19–28 Read article
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Impact of HIV on Global Health: A Comprehensive Review of Epidemiology and Interventions
Abstract: H.I.V remains a significant health issue of great concern to the world and with great impact to the individuals and communities on a global scale. This is a comprehensive literature review on the epidemiology of HIV, including both the world prevalence of HIV and the regional variations, especially in sub-Saharan Africa. It discusses the most important modes of transmission including sexual, blood, and vertical transmission and investigates the effectiveness of …
Published in International Journal of Virus Studies · Vol. 3, Issue 1, 2026 · pp. 39–45 Read article
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Development of Game Theory Strategy for Estimating Mobility Variety in Approaching Wireless Networks
Abstract: Game theory designed with a set of structured tools with an evaluation tool for the tedious interaction among logical players. This theory approaches for analyzing of communication networks, which functions with autonomous structured networks and the designed network devices can take rational decisions according to network congestion. The proposed structure consists of mixture frame for channel allocation for random probability for accessing channel. The main objective of this work is …
Published in Recent Trends in Electronics Communication Systems Read article