Search
4 articles for “Lightning-fast responses”
-
From Text to Revolution: Unfolding ChatGPT's Impact on Library Services
Abstract: This study explores ChatGPT, an advanced language model by OpenAI, and its potential to revolutionize library services. In order to arouse interest in the opportunities it presents, we examine the advantages, difficulties, and ethical issues associated with incorporating ChatGPT into libraries.As we illustrate ChatGPT's technology, we are able to see how well it performs on various language-based tasks. As a result, the user experience for library reference services will be …
Published in Recent Trends in Programming languages · Vol. 10, Issue 3, 2023 · pp. 15–20 Read article
-
Hybrid Intelligence in Cyber Security: A Study
Abstract: The digital landscape is a battlefield of escalating complexity, where the volume, velocity, and sophistication of cyber threats have exponentially outpaced human-centric defense models. Traditional rule-based security systems and siloed artificial intelligence (AI) solutions, while valuable, are increasingly brittle, overwhelmed by zero-day exploits, polymorphic malware, and coordinated, state-sponsored campaigns that operate in the shadows of big data. This paper posits that the paradigm of cybersecurity must fundamentally shift from one …
Published in International Journal of Wireless Security and Networks · Vol. 4, Issue 1, 2026 · pp. 01–09 Read article
-
Damage Potential of Extreme Wind Events– Downburst and Tornado
Abstract: Thunderstorms have always impressed humans and cumulonimbus cloud is one of the most visually striking and photogenic natural phenomena. Unfortunately, the thunderstorms are associated with hazardous weather. Severe thunderstorms are responsible for large amount of wind induced damage around the globe. Unlike large and continental cyclones, severe local storms intensify very rapidly and dissipate after causing damage. Lightning causes many fires around the world each year and leads to severe …
Published in Journal of Aerospace Engineering & Technology · Vol. 6, Issue 2, 2016 · pp. 28–46 Read article
-
Revolutionizing Motorcycle Safety: A Deep Learning Approach for Helmet and Triple Riding Detection using Computer Vision Technology and Machine Learning Model
Abstract: Introducing a revolutionary paradigm in road safety, our project unveils the Intelligent Traffic Surveillance System (ITSS), a groundbreaking initiative poised to transform urban traffic management. In an era where road safety is paramount, ITSS emerges as a beacon of innovation, harnessing the prowess of computer vision and machine learning to tackle two of the most pressing concerns plaguing our roads: helmet non-compliance and triple riding among motorcyclists. At its core, …
Published in International Journal of Robotics and Automation in Mechanics · Vol. 2, Issue 1, 2024 · pp. 28–36 Read article