Results 61 to 70 of about 77,468 (232)
Advanced Electronic Materials, EarlyView.Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
Emerging Memory and Device Technologies for Hardware‐Accelerated Model Training and Inference
Advanced Electronic Materials, EarlyView.This review investigates the suitability of various emerging memory technologies as compute‐in‐memory hardware for artificial intelligence (AI) applications. Distinct requirements for training‐ and inference‐centric computing are discussed, spanning device physics, materials, and system integration.
Yoonho Cho +6 more
wiley +1 more source
Can Radar Detectors and Safety Warning Systems (SWS) Signals Improve Road Safety?
Journal of Road Safety, 2012 The relationship between speed, crash risk and crash severity is well documented. In-vehicle radar detectors are small, specialised radio receivers tuned to the frequency range used by police radar guns.
C Rudin-Brown, M Cornelissen
doaj
Technology of intelligent driving radar perception based on driving brain
CAAI Transactions on Intelligence Technology, 2019 Radar is an important sensor to realise intelligent driving environment perception, enabling the detection of static obstacles and dynamic obstacles, and the tracking of a dynamic obstacle.
Hongbo Gao +3 more
doaj +1 more source
Radar-based Road User Classification and Novelty Detection with Recurrent Neural Network Ensembles
, 2019 Radar-based road user classification is an important yet still challenging task towards autonomous driving applications. The resolution of conventional automotive radar sensors results in a sparse data representation which is tough to recover by ...
Appenrodt, Nils +3 more
core +1 more source
Performance Boundary Identification for the Evaluation of Automated Vehicles using Gaussian Process Classification [PDF]
, 2019 Safety is an essential aspect in the facilitation of automated vehicle deployment. Current testing practices are not enough, and going beyond them leads to infeasible testing requirements, such as needing to drive billions of kilometres on public roads ...
Batsch, Felix +4 more
core +2 more sources
Archaeological Prospection, EarlyView.ABSTRACT Satellite remote sensing is among the most significant modern methodologies supporting field archaeology. In addition to its efficiency in identifying archaeological sites, remote sensing offers a safe and cost‐effective approach in conflict zones.
Amal Al Kassem +5 more
wiley +1 more source
Development of RF Hardware and Point Cloud Processing Method for Phased Array Millimeter Wave Radar
IET Signal ProcessingThe development of smart transportation has raised the demand for perception and detection of vehicle targets on the road, and compared to traditional methods, such as video cameras, millimeter wave radar applications are becoming increasingly widespread.
Zihang Yan +3 more
doaj +1 more source
A novel method for calibration and verification of roadside millimetre‐wave radar
IET Intelligent Transport Systems, 2022 Roadside perception systems commonly rely on millimetre‐wave radars that are stationary. Obtaining global coordinates of radar detection targets requires calibration of radars installed on roadways, which is dangerous if performed via conventional ...
Changlong Zhang +3 more
doaj +1 more source
Business Strategy and the Environment, EarlyView.ABSTRACT Global net‐zero ambitions require transformative strategies to decarbonise carbon‐intensive global value chains (GVCs). This study examines how multinational enterprises (MNEs) in sunset industries integrate carbon capture technologies (CCT) with operational and supply chain dynamics (OSCD) to advance decarbonisation.
Muhammad Mustafa Kamal +6 more
wiley +1 more source