Artificial Intelligence
Artificial Intelligence Engineering is a specialized field that integrates computer science, data science, and engineering principles to design, develop, and deploy AI-driven systems. It focuses on creating intelligent machines and software capable of learning, reasoning, and decision-making to solve complex real-world problems.
- Machine Learning
- Deep Learning
- Natural Language Processing (NLP)
- Computer Vision
- Speech Recognition
- Robotics & Automation
- Expert Systems
- Reinforcement Learning
- Neural Networks
- AI Ethics & Policy
- Edge AI
- Human-Centered AI
- AI in Healthcare
- AI in Finance
- AI in Agriculture
- Autonomous Systems
- AI in Cybersecurity
- Generative AI
- Explainable AI (XAI)
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List of Articles
Enhancing Diabetic Patient Outcomes Using Wearable Devices and Data Pipelines
This research explores using wearable devices and data systems to improve outcomes for diabetic patients. It utilizes continuous glucose monitors, fitness trackers, and smartwatches to collect real-time data on blood sugar levels, physical activity, and sleep patterns. The dat…
Leveraging Transformers for Boundary Detection and Encroachment Identification in Land Surveys
Land management, urban planning, and legal compliance all depend on the prompt and accurate detection of encroachments and the establishment of land boundaries. Especially in vast or complicated land regions, traditional surveying methods are labor-intensive and prone to inacc…
Leveraging Text Mining for Enhanced Decision-Making in the Insurance Industry
This research article delves into the transformative role of text mining within the insurance industry, particularly focusing on the property and casualty (P&C) sector. The ability to extract actionable insights from vast amounts of unstructured data-such as claim narrativ…
Secure Tracking Using BLE and IoT in Mobile Applications: A Technical Overview
With the proliferation of mobile devices and the Internet of Things (IoT), secure tracking systems have become increasingly important in various applications, including logistics, healthcare, and asset management. This paper presents a comprehensive technical overview of imple…
Transforming Test Automation with AI-Driven Predictive Analytics
In the evolving landscape of software development, test automation is becoming increasingly critical for ensuring high-quality releases at speed. This paper explores the transformative potential of integrating AI-driven predictive analytics into test automation frameworks. By …
Enhancing the Future: Leveraging Machine Learning for Advanced Threat Detection and Test Automation in Cloud Environments
As cloud computing continues to dominate the IT landscape, ensuring security and reliability within cloud environments has become increasingly critical. This paper explores the role of machine learning (ML) in enhancing advanced threat detection and test automation within clou…
The Impact of Multimedia Delivery Modes on Student Engagement in Distance Education
Distance education has become increasingly prevalent, with multimedia delivery modes playing a significant role in shaping the learning experience. This research paper investigates the impact of various multimedia delivery modes on student engagement in distance education. Dif…
Usage of Different Networking Libraries: Retrofit and Ktor
In modern Android development, efficient networking is essential for creating responsive and robust applications. This paper compares two popular networking libraries, Retrofit and Ktor, examining their features, performance, and suitability for various use cases. We aim to pr…
Efficient Usage of RAG Systems in the World of LLMs
The integration of Retrieval-Augmented Generation (RAG) systems with Large Language Models (LLMs) has revolutionized the field of Natural Language Processing (NLP). By leveraging RAG techniques, LLMs can access a broader range of information, improve coherence, and enhance the…
Demystifying Cloud Infrastructure: A Guide to Efficiently Managing Cloud Environments with DevOps Tools
Because cloud computing offers scalability, flexibility, and cost efficiency, it has completely changed the way enterprises operate. However, several management issues, such as resource allocation, security, and performance optimization, are brought on by cloud settings’…
A Sample Protocol for Using Tai Chi and Qigong to Treat Fibromyalgia: An Application of Artificial Intelligence to Traditional Chinese Medicine
Fibromyalgia is a chronic condition characterized by widespread pain, fatigue, stiffness, and reduced quality of life, affecting an estimated 2–8% of the global population, with higher prevalence in women. In traditional Chinese medicine (TCM), it is often associated wit…
Leveraging Transformers for Boundary Detection and Encroachment Identification in Land Surveys
Land management, urban planning, and legal compliance all depend on the prompt and accurate detection of encroachments and the establishment of land boundaries. Especially in vast or complicated land regions, traditional surveying methods are labor-intensive and prone to inacc…
Enhancing Diabetic Patient Outcomes Using Wearable Devices and Data Pipelines
This research explores using wearable devices and data systems to improve outcomes for diabetic patients. It utilizes continuous glucose monitors, fitness trackers, and smartwatches to collect real-time data on blood sugar levels, physical activity, and sleep patterns. The dat…