Results 61 to 70 of about 77,328 (260)
Cognitive Dynamic Systems: A Technical Review of Cognitive Radar
CoRR, 2016 We start with the history of cognitive radar, where origins of the PAC, Fuster research on cognition and principals of cognition are provided. Fuster describes five cognitive functions: perception, memory, attention, language, and intelligence. We describe the Perception-Action Cyclec as it applies to cognitive radar, and then discuss long-term memory,
Krishanth Krishnan +2 more
openaire +2 more sources
Annals of Neurology, EarlyView.Objective Pathogenic variants in GNAO1 cause a spectrum of epilepsy, movement disorders, and developmental impairment. Clinical heterogeneity complicates prognosis and therapeutic development. We present the first longitudinal natural history study of GNAO1‐related disorders (GNAO1‐RD) to delineate phenotypic trajectories. Methods Sixty‐six individuals
Jana Domínguez‐Carral +52 more
wiley +1 more source
Robust Cognitive Radar Tracking Based on Adaptive Unscented Kalman Filter in Uncertain Environments
IEEE Access, 2020 This article presents an approach for cognitive radar to track the target state despite unknown statistics or sudden changes in noise exposed to uncertain environments.
Lei Zhong, Yong Li, Wei Cheng, Wei Zhou
doaj +1 more source
Familiarity Discrimination of Radar Pulses [PDF]
, 1998 The ARTMAP-FD neural network performs both identification (placing test patterns in classes encountered during training) and familiarity discrimination (judging whether a test pattern belongs to any of the classes encountered during training).
Granger, Eric +3 more
core +1 more source
British Educational Research Journal, EarlyView.Abstract As front‐line observers and active participants in pupils' daily lives, teachers closely monitor pupils' social interactions, emotional states and behavioural changes. Their unique perspective enables them to detect problems in the social lives of their pupils that may not be immediately visible to peers, parents or mental health professionals.
Yixuan Zheng +4 more
wiley +1 more source
Transmit Energy Efficiency of Two Cognitive Radar Platforms for Target Identification
Aerospace, 2015 Cognitive radar (CRr) is a recent radar paradigm that can potentially help drive aerospace innovation forward. Two specific platforms of cognitive radar used for target identification are discussed.
Ric Romero, Emmanouil Mourtzakis
doaj +1 more source
Detection of Micro-Doppler Signals of Drones Using Radar Systems with Different Radar Dwell Times
Drones, 2022 Not any radar dwell time of a drone radar is suitable for detecting micro-Doppler (or jet engine modulation, JEM) produced by the rotating blades in radar signals of drones.
Jiangkun Gong +3 more
doaj +1 more source
Comparison of Classifiers for Radar Emitter Type Identification [PDF]
, 1999 ARTMAP neural network classifiers are considered for the identification of radar emitter types from their waveform parameters. These classifiers can represent radar emitter type classes with one or more prototypes, perform on-line incremental learning to
Granger, Eric +3 more
core +1 more source
Fuzzy Chance-constrained Programming Based Security Information Optimization for Low Probability of Identification Enhancement in Radar Network Systems [PDF]
, 2015 In this paper, the problem of low probability of identification (LPID) improvement for radar network systems is investigated. Firstly, the security information is derived to evaluate the LPID performance for radar network.
Chen, J. +3 more
core +2 more sources
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