Understanding Reinforcement Learning Reinforcement learning (RL), a subset of machine learning, is a powerful tool that enables systems to learn from their environment by interacting
Introduction to GANs Generative Adversarial Networks (GANs), introduced by Ian Goodfellow and his colleagues in 2014, have emerged as a groundbreaking innovation in artificial intelligence
Introduction to GPT-4 The development of GPT-4, a state-of-the-art language model created by OpenAI, marks a significant leap forward in the field of artificial intelligence
Overview of U-Net Architecture Introduction to U-Net U-Net architecture, introduced by Olaf Ronneberger, Philipp Fischer, and Thomas Brox in 2015, represents a significant advancement in
Deciphering Web Scraping Web scraping, often termed web harvesting or web data extraction, is an approach used to extract information from websites. Instead of manually
Navigating the Underwater World Underwater object detection is an essential domain in marine technology, aiming to identify and classify objects submerged in water. Unlike traditional
Understanding Texture Segmentation Texture segmentation is a pivotal technique in computer vision and image analysis. It refers to the process of partitioning an image based
Overview of Surveillance Video Analysis Surveillance Video Analysis (SVA) represents the intersection of surveillance, which is inherently concerned with observation and security, and computer vision,
Unraveling Portfolio Optimisation Portfolio optimisation is a method used to select the best possible asset mix in a portfolio, achieving the most desirable balance between
Demystifying Quantity Surveying Quantity Surveying (QS) is a specialist field within the construction and infrastructure sectors that primarily focuses on the management of costs and
