Deep Learning in the Automotive Industry: Applications and Tools

Deep Learning in the Automotive Industry: Applications and Tools

30 April 2017

Nathan Ashcraft

Emil Djerekarov

Papers citing "Deep Learning in the Automotive Industry: Applications and Tools"

13 / 13 papers shown

Title
Semi-Supervised Approach for Early Stuck Sign Detection in Drilling Operations A. Hernandez-Matamoros Kohei Sugawara T. Kaneko Ryota Wada M. Ozaki 14 0 0 22 Feb 2023
Spiker: an FPGA-optimized Hardware acceleration for Spiking Neural Networks Alessio Carpegna A. Savino S. Di Carlo 9 31 0 18 Jan 2022
QUDOS: Quorum-Based Cloud-Edge Distributed DNNs for Security Enhanced Industry 4.0 Kevin Wallis C. Reich Blesson Varghese C. Schindelhauer 11 0 0 09 Nov 2021
BCNet: A Deep Convolutional Neural Network for Breast Cancer Grading Pouya Hallaj Zavareh Atefeh Safayari Hamidreza Bolhasani 18 9 0 11 Jul 2021
A Statistician Teaches Deep Learning G. Babu David L. Banks Hyunsoo Cho David Han Hailin Sang Shouyi Wang 23 2 0 29 Jan 2021
Turn Signal Prediction: A Federated Learning Case Study S. Doomra Naman Kohli Shounak Athavale FedML 27 11 0 22 Dec 2020
Analyzing the Performance of Smart Industry 4.0 Applications on Cloud Computing Systems R. Hussain A.R. Pakravan M. Salehi 9 7 0 11 Dec 2020
Securing Deep Spiking Neural Networks against Adversarial Attacks through Inherent Structural Parameters Rida El-Allami Alberto Marchisio Muhammad Shafique Ihsen Alouani AAML 19 38 0 09 Dec 2020
Cloud2Edge Elastic AI Framework for Prototyping and Deployment of AI Inference Engines in Autonomous Vehicles Sorin Grigorescu Tiberiu T. Cocias Bogdan Trasnea Andrea Margheri Federico Lombardi Leonardo Aniello 6 14 0 23 Sep 2020
Domain Adaptation with Joint Learning for Generic, Optical Car Part Recognition and Detection Systems (Go-CaRD) Lukas Stappen Xinchen Du Vincent Karas Stefan Müller Björn W. Schuller 3DPC 14 8 0 15 Jun 2020
Engineering AI Systems: A Research Agenda J. Bosch I. Crnkovic Helena Holmström Olsson AI4TS 26 98 0 16 Jan 2020
Global Adversarial Attacks for Assessing Deep Learning Robustness Hanbin Hu Mitt Shah Jianhua Z. Huang Peng Li AAML 12 4 0 19 Jun 2019
Deep Learning for IoT Big Data and Streaming Analytics: A Survey M. Mohammadi Ala I. Al-Fuqaha Sameh Sorour Mohsen Guizani 27 1,050 0 09 Dec 2017