Results 71 to 80 of about 77,228 (249)
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
Rain Clutter Modelling and Performance Assessment of Road Traffic Surveillance Radars
IET Radar, Sonar & NavigationMillimetre‐wave road traffic surveillance radars are used for vehicle detection and tracking. Under rainy conditions, rain attenuation and rain backscatter severely degrade the vehicle detection performance of radars.
Hai‐Long Su +5 more
doaj +1 more source
TrafficNet: An Open Naturalistic Driving Scenario Library
, 2017 The enormous efforts spent on collecting naturalistic driving data in the recent years has resulted in an expansion of publicly available traffic datasets, which has the potential to assist the development of the self-driving vehicles.
Guo, Yaohui +2 more
core +1 more source
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
Microwave detection of buried mines using non-contact, synthetic near-field focusing [PDF]
, 2001 Existing ground penetrating radars (GPR) are limited in their 3-D resolution. For the detection of buried land-mines, their performance is also seriously restricted by `clutter'. Previous work by the authors has concentrated on removing these limitations
ADERIN +18 more
core +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
Towards Full Automated Drive in Urban Environments: A Demonstration in GoMentum Station, California
, 2017 Each year, millions of motor vehicle traffic accidents all over the world cause a large number of fatalities, injuries and significant material loss. Automated Driving (AD) has potential to drastically reduce such accidents. In this work, we focus on the
Al-Stouhi, Samir +8 more
core +1 more source
Carbon Energy, EarlyView.This review provides a comprehensive and systematic overview of the multifunctional design strategies for solid polymer electrolytes (SPEs), a pivotal component for enabling high‐performance all‐solid‐state batteries (ASSBs). It begins with a detailed classification of SPE systems and elaborates on their respective molecular design principles. The work
Bin Man +11 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