Cantitate/Preț
Produs
Total produse
Vezi coșul
Artificial Intelligence and Smart Vehicles de Mehdi Ghatee

Artificial Intelligence and Smart Vehicles: Communications in Computer and Information Science, cartea 1883

Editat de Mehdi Ghatee, S. Mehdi Hashemi
en Limba Engleză Paperback – 5 oct 2023
This book constitutes the refereed proceedings of the First International Conference on Artificial Intelligence and Smart Vehicles, ICAISV 2023, held in Tehran, Iran, during May 24-25, 2023.

The 14 full papers included in this book were carefully reviewed and selected from 93 submissions. They were organized in topical sections as follows: machine learning, data mining, machine vision, image processing, signal analysis, decision support systems, expert systems, and their applications in smart vehicles.
Citește tot Restrânge

Din seria Communications in Computer and Information Science

Preț: 49192 lei

Preț vechi: 61490 lei
-20%

Puncte Express: 738

Carte tipărită la comandă

Livrare economică 17-31 august

Livrare prin curier în România Termenul estimat este afișat lângă disponibilitate.
Transport gratuit pentru acest produs Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.
 Adaugă în coș

Wish list
Gift list
Am citit!
Adaugă în listă

Specificații

ISBN-13: 9783031437625
ISBN-10: 3031437624
Pagini: 232
Ilustrații: XIV, 217 p. 118 illus., 108 illus. in color.
Dimensiuni: 155 x 235 x 13 mm
Greutate: 0.36 kg
Ediția:1st edition 2023
Editura: Springer
Colecția Communications in Computer and Information Science
Seria Communications in Computer and Information Science

Locul publicării:Cham, Switzerland

Cuprins

Local and Global Contextual Features Fusion for Pedestrian Intention Prediction.- Routes analysis and dependency detection based on traffic volume: a deep learning approach.- Road Sign Classification using Transfer Learning and Pre-Trained CNN Models.- Improving Safe Driving with Diabetic Retinopathy Detection.- A Bibliometric Analysis on Artificial Intelligence and Smart Vehicles.- Convolutional Neural Network and Long Short Term Memory on Inertial Measurement Unit sensors for Gait Phase Detection.- Real-time mobile mixed-character license plate recognition via deep learning convolutional neural network.- Evaluation of Drivers’ Hazard Perception in Simultaneous Longitudinal and Lateral Control of Vehicle Using a Driving Simulator.- Driver Identification by An Ensemble of CNNs Obtained from Majority-Voting Model Selection.- State-of-the-Art Analysis of the Performance of the Sensors Utilized in Autonomous Vehicles in Extreme Conditions.- Semantic Segmentation using Events and Combination of Events and Frames.- Deep learning-based concrete crack detection using YOLO architecture.- Generating Control Command for an Autonomous Vehicle Based on Environmental Information.- Fractal-Based Spatiotemporal Predictive Model for Car Crash Risk Assessment.