Search
900 articles for “Gen- AI”
-
Clinical Profile of Dengue Patients who had a Prior Infection with the Covid 19 Virus in a Tertiary Care Centre
Abstract: This cross-sectional analytical study conducted in a tertiary care center aims to investigate the clinical profile of Dengue virus-infected patients with a prior history of COVID-19 within the last three years. Dengue, a prevalent tropical disease, ranges from mild fever to severe conditions like hemorrhagic fever and shock syndrome. The study utilizes the World Health Organization's 2009 classification for Dengue and delineates the febrile, critical, and recovery phases of infection. …
Published in Recent Trends in Infectious Diseases · Vol. 1, Issue 1, 2024 · pp. 34–38 Read article
-
Development of a Self-Cleaning Mechanism for Solar Panels to Enhance Efficiency
Abstract: On Earth, solar energy is the most plentiful source of energy. As it happens, the heat generated by the fusion of helium on the outermost part of the Sun additionally happens to be renewable. This energy is becoming popular because of natural advantages. In digital circuit design, AI can aid in logic synthesis and analog circuit design, AI can help in sizing transistors. The tools used to transform daylight into …
Published in Journal of Mechatronics and Automation · Vol. 11, Issue 1, 2024 · pp. 1–10 Read article
-
Enhancing Customer Engagement with AI-Driven Movie Recommenders: Integrating Neural Collaborative Filtering, Sentiment Analysis, and Conversational Agents
Abstract: In today’s competitive digital landscape, user engagement is a critical factor for the success of entertainment platforms, especially those offering movie recommendations. This study introduces a comprehensive AI-driven framework designed to enhance customer interaction, satisfaction, and loyalty through the intelligent integration of multiple deep learning models. The system combines three core components: Neural Collaborative Filtering (NCF) for generating personalized movie recommendations based on user behavior and preferences, Long Short-Term Memory …
Published in Journal of Artificial Intelligence Research & Advances · Vol. 12, Issue 3, 2025 · pp. 45–54 Read article
-
A Decade of Viral Evolution (2015–2025): Emergence, Mutations, and Implications for Global Health
Abstract: Over the past decade (2015-2025), viral evolution has profoundly reshaped the global health landscape, challenging healthcare systems, diagnostic tools, therapeutic strategies, and vaccine efficacy. This review comprehensively analyzes the evolutionary trajectories of major human and zoonotic viruses, with a focus on pandemic-prone, drug-resistant, and emerging pathogens. Viral evolution is driven by diverse molecular mechanisms including high mutation rates, recombination, reassortment, host immune pressure, and antiviral interventions, leading to genetic diversification, …
Published in International Journal of Vaccines · Vol. 2, Issue 2, 2025 · pp. 31–40 Read article
-
Computational Fluid Dynamics and Composite Material Study on Scoop-Type Savonius Turbine for Train-Based Energy Generation
Abstract: This study investigates the feasibility of integrating a scoop-type savonius vertical-axis wind turbine (VAWT) on the rooftop of a moving train to generate renewable onboard power. The motivation stems from increasing demands for sustainable energy solutions and reducing reliance on fossil fuels, particularly in transportation. A two-blade savonius turbine, with dimensions of 0.4 m in diameter and 0.5 m in height, was modeled in PTC Creo Parametric 3.0 and analyzed …
Published in Journal of Polymer & Composites · Vol. 14, Issue 1, 2026 · pp. 566–580 Read article
-
Tales from the Himalayas: Straight from the Heart of Priyanka Pradhan
Abstract: “Tales from the Himalayas” is a collection of seventeen short stories written by Priyanka Pradhan. She is the recipient of the “Ruskin Bond Promising Writer Award 2019” at the Dehradun Literature Festival. Each tale in the collection is an entertaining, heart-warming, and delightful read. Themes of family, friendship, belonging, and loss are prominent in the pages. The stories depict the rich cultural heritage that resides in the heart of the …
Published in International Journal of Behavioral Sciences · Vol. 1, Issue 1, 2024 · pp. 19–25 Read article
-
Patient Profile and Antimicrobial Susceptibility Testing of Clinically Isolates In E. coli
Abstract: Escherichia coli, commonly known as E. coli, is a prevalent bacterium capable of causing infections in humans. The development of antimicrobial resistance in E. coli poses a significant public health issue. This study aimed to determine the patient profile and antimicrobial susceptibility patterns of clinically isolated E. coli. A retrospective study was carried out on E. coli samples collected from clinical specimens within a hospital environment. Patient profiles, including age, …
Published in Research and Reviews: A Journal of Microbiology and Virology · Vol. 14, Issue 1, 2024 · pp. 32–47 Read article
-
Cracking the Code: A Study on Exploitable Weaknesses in QR Code Technology
Abstract: This study investigates the exploitable weaknesses inherent in quick response (QR) code technology, aiming to provide insights into potential security risks and mitigation strategies. QR codes, ubiquitous in modern society, serve various purposes ranging from marketing to authentication. However, their widespread utilization also renders them vulnerable to exploits by malicious actors. The research identifies common vulnerabilities such as data tampering, code injection, and phishing attacks, which can have significant consequences, …
Published in Journal Of Network security · Vol. 12, Issue 2, 2024 · pp. 9–17 Read article
-
Integrated, Geospatial Risk Assessment of Air, Water, and Soil Pollution Impacts on Agricultural Sustainability using Advanced Digital Technologies
Abstract: The systemic threat posed by the convergence of air, water, and soil contaminants represents a critical challenge to global agricultural resilience and food security. Traditional, site-specific pollutant monitoring methods are insufficient for capturing the dynamic, diffuse, and often nonlinear nature of environmental risk pathways that permeate agrarian landscapes. This study presents a robust framework for comprehensive risk assessment utilizing a synergistic suite of modern tools designed for spatial, temporal, and …
Published in International Journal of Environmental Noise and Pollution Control · Vol. 3, Issue 2, 2025 · pp. 28–37 Read article
-
Intelligent IoT Enabled Waste Segregation and Monitoring System
Abstract: One of the significant issues contributing to environmental hazards is the ongoing accumulation of waste. As the global population continues to grow, waste is being discarded in single locations, mixing different types of refuse. In India, the total generated waste is projected to exceed 150,000 Mt/day. Waste is often scattered along roadsides, and the personnel responsible for management do not collect it regularly. This automated waste segregation bin project aims …
Published in Research & Reviews: A Journal of Embedded System & Applications · Vol. 12, Issue 2, 2024 · pp. 33–39 Read article
-
Integrating Network Pharmacology and Molecular Docking to Investigate Boerhavia diffusa for Pancreatic Cancer Treatment
Abstract: Objective: In this study, network pharmacology was applied to determine the therapeutic effects of the bioactive compounds of Boerhavia diffusa. Network pharmacology can unearth the underlying mechanisms between drugs and the disease targets and aids in the discovery of novel medications for complex conditions such as cancer. Methods: To predict the molecular mechanisms of action of Boerhavia diffusa in the treatment of was screened using the GeneCards database. The Venn …
Published in International Journal of Molecular Biotechnological Research · Vol. 2, Issue 1, 2024 · pp. 29–49 Read article
-
Comparison of Intravenous Lignocaine and Esmolol in Attenuating Hemodynamic Response to Laryngoscopy and Endotracheal Intubation
Abstract: Objective: This study aimed to evaluate the effectiveness of intravenous lignocaine versus esmolol in minimizing the hemodynamic response during laryngoscopy and intubation. Methods: This prospective, randomized controlled trial included patients scheduled for elective surgery under general anesthesia. Participants were randomly allocated to receive either intravenous lignocaine (Group L) or esmolol (Group E) prior to induction. Hemodynamic parameters—such as heart rate (HR), systolic blood pressure (SBP), diastolic blood pressure (DBP), and …
Published in Research and Reviews : Journal of Surgery · Vol. 13, Issue 3, 2024 · pp. 29–44 Read article
-
Application of Thermal Spray Coatings for Corrosion Control in Oil and Gas Refineries
Abstract: In today’s context, Thermal Spray Coating (TSC) has emerged as a highly durable and reliable alternative to traditional Hot-Dip Galvanizing (HDG). It is increasingly being adopted for both new and existing industrial structures due to its long-lasting protection—often exceeding 25 years—while requiring little to no maintenance. Unlike HDG, which cannot be welded on-site and often poses challenges with repair methods such as liquid coating or cold spray, TSC offers greater …
Published in Journal of Polymer & Composites · Vol. 13, Issue 6, 2025 · pp. 106–115 Read article
-
Noise and Vibration Reduction Using Sustainable Polymer Nanocomposite Materials: A Review
Abstract: Noise pollution and structural vibration represent critical challenges in modern engineering systems, affecting human health, operational efficiency, and equipment durability. This review examines the application of sustainable polymer nanocomposite materials for simultaneous noise and vibration reduction across diverse engineering domains. The fundamental relationship between structural vibration and noise generation is established, followed by a comprehensive analysis of sound absorption and damping mechanisms in nanoparticle-reinforced polymer systems. Multi-walled carbon nanotubes (MWCNTs), …
Published in Journal of Polymer & Composites · Vol. 14, Issue 3, 2026 · pp. 785–798 Read article
-
A Descriptive Study to Assess the Effectiveness of Instructional Modules on Knowledge Regarding Challenges Faced by Rural Community People on Cancer Preventive Measures Among People Living in the Selected Community Area, Palakkad District
Abstract: This study employed a quantitative approach with a descriptive study design to assess the knowledge and challenges faced by rural communities regarding cancer preventive measures. A total of sixty participants were selected using purposive sampling, which is non-probability based. Data were gathered through a semi-structured questionnaire to capture demographic information, alongside a structured questionnaire specifically designed to evaluate knowledge on cancer prevention challenges within the rural population. The collected data …
Published in International Journal of Oncological Nursing and Practices · Vol. 2, Issue 2, 2024 · pp. 26–33 Read article
-
Transforming Digital Health Card Healthcare in India: An Integrated IT Solution
Abstract: India's healthcare sector faces critical challenges, including fragmented medical records, limited access to quality care in rural areas, and inefficiencies in patient engagement and insurance processes. This study proposes an innovative IT-driven healthcare model integrating a digital health card, web application, and NFC-enabled mobile platform. The system aims to streamline medical record management, enable telemedicine consultations, and provide seamless prescription and insurance integration. Advanced digital capabilities ranging from AI-driven recommendations …
Published in Journal of Mobile Computing, Communications & Mobile Networks · Vol. 12, Issue 2, 2025 · pp. 11–15 Read article
-
Agronomic Performance, Harvest Dynamics, and Oil Yield of Lemongrass Varieties in a Semi‐Arid Ecosystem: Effects of NPK Regime and Harvest Timing
Abstract: This study investigated the agronomic performance, biomass production, and essential oil yield of three lemongrass (Cymbopogon spp.) varieties (CKP-25, Krishna & Pragati) under varying NPK fertilization regimes and harvest timings in a semi-arid ecosystem. A split-plot factorial design with four nutrient levels (Control, 50%, 100%, and 150% of the recommended NPK dose) and two harvest stages (90 and 180 days after planting, DAP) was implemented. Results revealed that both NPK …
Published in Research & Reviews : Journal of Botany · Vol. 15, Issue 1, 2026 · pp. 8–21 Read article
-
IoT and Smart Sensors for Structural Health Monitoring: Trends, Challenges, and Future Directions
Abstract: Structural Health Monitoring (SHM) plays a critical role in ensuring the safety, resilience, and sustainability of civil infrastructure systems. In recent years, the convergence of Internet of Things (IoT) technologies and smart sensor systems has revolutionized the field of SHM. This integration enables continuous, real- time monitoring, facilitates predictive maintenance, and reduces the costs associated with structural inspections. IoT-based SHM frameworks leverage wireless sensor networks, cloud computing platforms, and intelligent …
Published in Recent Trends in Sensor Research & Technology · Vol. 12, Issue 3, 2025 · pp. 1–6 Read article
-
Designing an AI-Based Platform for Stock Market Prediction
Abstract: The AI-Based Platform for Stock Market Prediction is an advanced tool designed to forecast stock prices and market trends using artificial intelligence. This platform combines machine learning algorithms, real-time financial data, and sentiment analysis to provide investors with actionable insights. The platform uses advanced predictive techniques like Long Short-Term Memory (LSTM) networks and Gradient Boosting Machines to generate precise and reliable forecasts. Additionally, it incorporates interactive visualizations and portfolio optimization …
Published in E-Commerce for Future & Trends · Vol. 12, Issue 3, 2025 · pp. 14–19 Read article
-
Experimental Study of Roughness Analysis of AISI 316L Material using Fiber and CO2 LBM
Abstract: Laser beam machines have gained significant attention as a precise and versatile method for cutting and shaping materials in various industries. This study investigates the surface roughness characteristics of SS 316L, a commonly used stainless steel, when subjected to laser beam machining using both fiber and CO2 laser sources. The aim of this research is to compare the effects of these two laser types on the final surface finish of …
Published in International Journal of Solid State Innovations & Research · Vol. 2, Issue 2, 2024 · pp. 12–21 Read article