Chatgpt and open-ai models: A preliminary review
According to numerous reports, ChatGPT represents a significant breakthrough in the field of
artificial intelligence. ChatGPT is a pre-trained AI model designed to engage in natural …
artificial intelligence. ChatGPT is a pre-trained AI model designed to engage in natural …
[HTML][HTML] Beyond supervised: The rise of self-supervised learning in autonomous systems
Supervised learning has been the cornerstone of many successful medical imaging
applications. However, its reliance on large labeled datasets poses significant challenges …
applications. However, its reliance on large labeled datasets poses significant challenges …
Integrating multisource data and machine learning for supraglacial lake detection: Implications for environmental management and sustainable development goals in …
The accurate detection and monitoring of supraglacial lakes in high mountainous regions
are crucial for understanding their dynamic nature and implications for environmental …
are crucial for understanding their dynamic nature and implications for environmental …
Delay/disruption-tolerant networking-based the integrated deep-space relay network: State-of-the-art
Communication with deep-space elements poses significant challenges due to vast
distances, orbital motions, and harsh environmental conditions that restrict point-to-point or …
distances, orbital motions, and harsh environmental conditions that restrict point-to-point or …
Development of long short-term memory along with differential optimization and neural networks for coagulant dosage prediction in water treatment plant
Accurate prediction of coagulant dosage is crucial for maintaining water quality and public
health, providing better precision, efficiency, and adaptability than traditional jar testing …
health, providing better precision, efficiency, and adaptability than traditional jar testing …
Artificial intelligence for management of variable renewable energy systems: a review of current status and future directions
This review paper provides a summary of methods in which artificial intelligence (AI)
techniques have been applied in the management of variable renewable energy (VRE) …
techniques have been applied in the management of variable renewable energy (VRE) …
A critical analysis of machine learning in ship, offshore, and oil & gas corrosion research, part I: Corrosion detection and classification
Corrosion poses a significant threat to the integrity and longevity of ship, offshore, and oil &
gas structures, resulting in substantial economic losses, environmental hazards, and safety …
gas structures, resulting in substantial economic losses, environmental hazards, and safety …
[HTML][HTML] AI-Enhanced ECG Applications in Cardiology: Comprehensive Insights from the Current Literature with a Focus on COVID-19 and Multiple Cardiovascular …
The application of artificial intelligence (AI) in electrocardiography is revolutionizing
cardiology and providing essential insights into the consequences of the COVID-19 …
cardiology and providing essential insights into the consequences of the COVID-19 …
Comprehensive review of advances in machine-learning-driven optimization and characterization of perovskite materials for photovoltaic devices
Perovskite solar cells (PSCs) have developed rapidly, positioning them as potential
candidates for next-generation renewable energy sources. However, conventional trial-and …
candidates for next-generation renewable energy sources. However, conventional trial-and …
[HTML][HTML] Cybersecurity in Smart Grids: Detecting False Data Injection Attacks Utilizing Supervised Machine Learning Techniques
By integrating advanced technologies and data-driven systems in smart grids, there has
been a significant revolution in the energy distribution sector, bringing a new era of …
been a significant revolution in the energy distribution sector, bringing a new era of …