Deep Learning for Computer Vision in Smart Cities
الملخص
The Digital Age has caused a rapid shift from traditional industry to an economy mainly based upon information technology. According to recent studies, 74 zettabytes (ZB) of data have been generated, captured and replicated in the world in 2021, with video accounting for 82% of internet traffic. This figure has been amplified due to the coronavirus pandemic, and it is expected to keep increasing, reaching 149 ZB by 2024. Processing this impressive amount of information is one of the main scientific challenges of our time. Against this backdrop, Machine Learning (ML) and two related paradigms have emerged: big data and deep learning. These disciplines take advantage of mathematical optimization methods, bioinspiration and modern Graphics Processing Units (GPUs) to manage large datasets efficiently and effectively.
الكلمات المفتاحية
غير متوفر
التخصصات
رسائل وأطاريح مشابهة
- Distributed Intelligence for 3D Object Tracking in Autonomous Vehicles, A Multi-Sensor Approach to Object Tracking and Planning for Self-Driving Cars, Real-Time 3D Perception and Path Planning in Autonomous Systems,,Vision-Based Localization and Distributed Architecture for Driverless Cars,A Hybrid Deep Learning Framework for Object Detection and Trajectory Planning in Autonomous Vehicles Manas Madine · University of Massachusetts Amherst · 2023
- Computer vision as a tool for forestry Filip Bång · KTH Royal Institute of Technology · 2019
- Multimodal machine learning methods for pattern analysis in smart cities and transportation Ifigeneia Drosouli · 2024
- Advancing heat stress detection in dairy cows through machine learning and computer vision Shu, Hang · University of Liège · 2024
- Study and Prediction of Air Quality in Smart Cities through Machine Learning Techniques Considering Spatiotemporal Components Ditsuhi Iskandaryan ; Iskandaryan, Ditsuhi · 2023
- Towards synthetic sensing for smart cities : a machine/deep learning-based approach Faraz Malik Awan · 2022
