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380 articles for “AI Integration”
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Advances in Polymeric In Situ Drug Delivery and Soft Biosensors: Innovations in Biochemical Sensing and Personalized Healthcare
Abstract: Advanced healthcare and personalized medicine are undergoing a transformation thanks to in situ medication delivery systems and biochemical sensor technology. Polymeric in situ drug delivery systems form gels upon administration, releasing medications in a controlled manner and providing benefits such as ease of administration and enhanced patient compliance. Similarly, advancements in soft electronics, including flexible and stretchable biosensors, enable continuous, in situ biochemical monitoring, conforming to complex biological environments like …
Published in International Journal of Cheminformatics · Vol. 2, Issue 1, 2024 · pp. 27–32 Read article
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Use of Emerging Technologies in Disaster Management
Abstract: India, one of the most disaster-prone nations, faces increasing challenges from natural and man- made disasters. To address these risks, the country has developed a multi-tiered institutional framework, led by the National Disaster Management Authority (NDMA) and supported by state and local bodies. While these efforts provide a strong foundation, the integration of emerging technologies is reshaping disaster management. Technologies like Artificial Intelligence (AI), drones, and advanced early warning systems …
Published in International Journal of Pollution: Prevention & Control · Vol. 3, Issue 1, 2025 · pp. 01–07 Read article
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NOVA: The Virtual Desktop Assistant
Abstract: This research work details the design, development, and implementation of a voice-controlled desktop assistant aimed at streamlining everyday tasks and boosting user productivity. The assistant seamlessly integrates with various desktop applications and core operating system functions to automate routine operations, deliver relevant contextual information, and provide personalized suggestions based on observed user behavior and preferences. A standout feature of the system is its ability to monitor user activity levels and …
Published in International Journal of Computer Science Languages · Vol. 3, Issue 2, 2025 · pp. 19–25 Read article
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AI-Powered IoT System for Early Detection and Monitoring of Livestock Health
Abstract: Protection of food production exists through livestock farming operations that advance economic global power. Continuous challenges to agricultural industry practices result in harmed animal health and enable disease spread as well as environmental threats to their welfare. Implementing current innovative solutions right away is necessary to solve these problems. The AI and IoT-based smart livestock health monitoring system functions as the fundamental development approach across this industry. The present integrated …
Published in International Journal of Electrical and Communication Engineering Technology · Vol. 3, Issue 1, 2025 · pp. 1–8 Read article
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Classification of Fruits Based on Quality Using Artificial Intelligence
Abstract: The visual inspection method for fruit grading is prone to judgment distortion among different individuals. There is a demand for an automated fruit classification machine to replace labor-intensive processes with an intelligent system for fruit quality classification. This study proposes a practical real-time fruit quality classification system that classifies the fruit’s appearance in order to decrease human effort costs in the fruit industry. For the sorting and classification of fruits, …
Published in International Journal of Computer Science Languages · Vol. 1, Issue 2, 2023 · pp. 23–30 Read article
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Fracture Analysis of Laminated composite plates using Extended Finite Element Method: A Review
Abstract: Laminated composite plates are used in aerospace, automotive, and marine industries. They feature great durability against fatigue, a high strength-to-weight ratio, and mechanical attributes that may be altered. However, they are prone to fracture and delamination under complex loading, requiring accurate fracture analysis for structural integrity. Traditional finite element methods (FEM) need extensive mesh refinement for modelling crack propagation which increases the computational costs. The Extended Finite Element Method (XFEM) …
Published in International Journal of Fracture Mechanics and Damage Science · Vol. 4, Issue 1, 2026 · pp. 16–25 Read article
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The Evolution of Payments: Traditional Bill Methods Compared to Mobile Innovations
Abstract: "Mobile Payment Experiences in the Future" explores the transformative impact of emerging technologies: Artificial Intelligence (AI), 5G connectivity, and biometrics, on the evolution of mobile payment systems, moving beyond today's simple "tap and pay" solutions. As mobile payments become an essential component of global commerce, these innovations are set to redefine the payment landscape by enhancing transaction speed, security, and personalization. AI will enable real-time fraud detection, adaptive user verification, …
Published in International Journal of Mobile Computing Technology · Vol. 3, Issue 1, 2025 · pp. 17–27 Read article
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Evaluation of the influence of supportive education on the religious beliefs and practices of cervical cancer patients in managing the disease at Tertiary Health Institutions in Ebonyi State, Nigeria
Abstract: This study investigated how 60 cervical cancer patients in a tertiary care facility in Ebonyi State, Nigeria How to use Cervical Cancer Support Education (CCSE) to manage their care. Using a quasi-experimental design, 60 participants were divided into an intervention group from two health institutions and a control group from the National Obstetric Fistula Centre. The research used a quasi-experimental design and collected data over a 13-month period using a …
Published in International Journal of Tropical Medicines · Vol. 2, Issue 1, 2025 · pp. 96–111 Read article
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Integrating Indigenous Knowledge in Land Conservation: A Review of Best Practices
Abstract: Indigenous knowledge systems have long played a crucial role in sustainable land conservation practices. These traditional practices, developed over centuries, offer valuable insights into ecosystem management, biodiversity preservation, and climate resilience. This review article explores best practices in integrating indigenous knowledge with modern conservation efforts, emphasizing the benefits of blending ancestral wisdom with contemporary scientific approaches.By analyzing case studies and theoretical frameworks, this study highlights successful approaches to harmonizing traditional …
Published in International Journal of Land · Vol. 2, Issue 1, 2025 · pp. 1–5 Read article
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Atmospheric Modeling: A Comprehensive Review of Numerical Approaches and Applications
Abstract: Atmospheric modeling plays a crucial role in understanding and predicting atmospheric processes, weather patterns, and climate variability. This review synthesizes current methodologies and applications across several types of atmospheric models, including numerical weather prediction (NWP), climate models, air quality models, and chemical transport models. We explore the intricacies of data assimilation, model evaluation, parameterization, and the importance of high-performance computing in advancing model accuracy and efficiency. Special emphasis is placed …
Published in International Journal of Atmosphere · Vol. 1, Issue 2, 2024 · pp. 16–21 Read article
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Smart Weather Monitoring Station
Abstract: Climate change and the environment have been in attention lately. Therefore, it is essential to track the real-time weather conditions of one location from a different one. The Internet of Things (IoT) plays a crucial role in measuring these parameters by utilizing sensor networks that cover the surrounding environment. The Internet of Things is the next miracle of the Internet that will change the lifestyle of the people. It extends …
Published in International Journal of Satellite Remote Sensing · Vol. 2, Issue 2, 2024 · pp. 36–44 Read article
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Optimization of Surface Roughness and Material Removal Rate in Turning of Al-6061 Using Taguchi Methodology, Fuzzy Logic, and Measurement System Analysis
Abstract: The optimization of machining parameters please a crucial role in improving product quality and productivity in manufacturing processes. This study focuses on the turning of aluminium 6061 alloy, aiming to optimize two key performance measures: Surface Roughness and Material Removal Rate. An integrated approach combining to Taguchi methodology, fuzzy logic and measurement system analysis (MSA) is proposed to achieve this objective. Taguchi design of experiments using and L9 orthogonal array …
Published in International Journal of Machine Systems and Manufacturing Technology · Vol. 4, Issue 1, 2026 Read article
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LoRa and LoRaWAN in the IoT: Performance, Challenges, and Future Opportunities
Abstract: This paper provides a broad overview of both LoRa and LoRaWAN technologies in the context of Internet of Things (IoT). The market need for communication technology to be low-power and long-range continues to grow, and LoRa and LoRaWAN are emerging as viable options for enabling widespread IoT applications in a variety of applications. This review offers structured and comparative assessment of their functionality in different environments, such as urban, rural, …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 2, 2026 Read article
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Webpage Extraction and Retrieval Chatbot
Abstract: Web scraping is a fundamental technique for automating data extraction in big data applications. While multiple implementations exist, few leverage Python’s Beautiful Soup library for efficient and structured data retrieval. This project aims to develop a web scraper and retrieval system that extracts relevant information from web pages, stores it in a vector database (Milvus), and enables intelligent querying using semantic search and generative AI. The system is designed to …
Published in International Journal of Satellite Remote Sensing · Vol. 3, Issue 2, 2025 · pp. 1–7 Read article
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Performance Forecasting in Solo Sports: Leveraging Psychometrics, Economic Analysis, and Cultural Insights for Predictive Excellence
Abstract: The science of performance forecasting in solo sports has transcended traditional metrics, embracing a multidisciplinary approach. This paper explores the integration of psychometrics, economic analysis, and cultural insights to predict athletic success. By leveraging psychological profiling, economic factors, and cultural dynamics, this study aims to establish a comprehensive model for forecasting athlete performance with heightened accuracy. In the realm of solo sports, where individual prowess dictates success, traditional performance forecasting …
Published in Recent Trends in Sports · Vol. 1, Issue 1, 2024 · pp. 35–44 Read article
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A study in Leveraging Deep Learning and IoT Arrays for Dynamic, Hyper-Local Atmospheric Intelligence
Abstract: The critical demand for high-resolution, actionable atmospheric data is challenged by the high cost and sparse coverage of traditional regulatory monitoring stations. This paper explores the synergistic paradigm shift enabled by integrating low-cost, dense Internet of Things (IoT) sensor arrays with advanced Artificial Intelligence (AI) methodologies, specifically Deep Learning (DL) models. We address the primary limitations of low-cost sensors—inherent bias, sensitivity to environmental drift (temperature/humidity), and calibration inconsistency—by utilizing AI …
Published in International Journal of Atmosphere · Vol. 2, Issue 2, 2025 · pp. 50–62 Read article
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The Dual Crisis: Antibiotic Resistance and the Discovery Void – A Review of Novel Therapeutic Strategies and Non-Traditional Approaches
Abstract: The global rise of antimicrobial resistance (AMR) has emerged as one of the most critical public health challenges of the 21st century, threatening to undermine decades of therapeutic success and rendering conventional antibiotic regimens increasingly ineffective. Parallel to the escalating resistance rates is a profound “discovery void,” characterised by a steep decline in the development of new antibiotic classes since the late 20th century. Together, these two interconnected crises create …
Published in International Journal of Antibiotics · Vol. 3, Issue 1, 2026 · pp. 47–65 Read article
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NeoVax: Smart Child Vaccination and Monitoring Platform
Abstract: Child vaccination plays a crucial role in preventing life-threatening diseases and ensuring long-term public health. Despite the availability of structured immunization programs, many children miss scheduled vaccinations due to lack of awareness, busy lifestyles of parents and absence of effective reminder systems. This research paper presents NeoVax, a smart and user-friendly child vaccination reminder and management system designed to address these challenges using digital technology.NeoVax is an Application that enables …
Published in International Journal of Children · Vol. 3, Issue 2, 2026 · pp. 14–20 Read article
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The Next Era of Solid-State Innovation: Beyond Silicon
Abstract: The semiconductor industry is getting close to the physical and economic boundaries of silicon-based technology. A new era of solid-state innovation is beginning. Beyond Silicon: The Next Era of Solid-State Innovation looks at the materials, device layouts, and manufacturing methods that are about to change the way electronics and energy work. The article talks about improvements in wide- and ultra-wide-bandgap semiconductors, two- dimensional materials, and quantum and neuromorphic systems that …
Published in International Journal of Solid State Innovations & Research · Vol. 3, Issue 2, 2025 · pp. 19–23 Read article
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AI Driven IoT based Satellite remote sensing system: KSK Approach in Satellite Remote Sensing
Abstract: The convergence of the Internet of Things (IoT) and satellite remote sensing has traditionally been bottlenecked by massive data latency and limited downlink bandwidth. This paper proposes a decentralized framework for an "AI-Driven IoT-based Satellite Remote Sensing System," which shifts the paradigm from raw data transmission to onboard edge-intelligence. By integrating lightweight convolutional neural networks (CNNs) directly into satellite payloads, the system performs real-time feature extraction and anomaly detection before …
Published in International Journal of Satellite Remote Sensing · Vol. 4, Issue 1, 2026 · pp. 50–57 Read article