Results 1 to 10 of about 178,822 (315)
A Neuro-computational Account of Arbitration between Choice Imitation and Goal Emulation during Human Observational Learning [PDF]
Neuron, 2020 When individuals learn from observing the behavior of others, they deploy at least two distinct strategies. Choice imitation involves repeating other agents’ previous actions, whereas emulation proceeds from inferring their goals and intentions.
Charpentier, Caroline J. +2 more
core +2 more sources
Colosseum as a Digital Twin: Bridging Real-World Experimentation and Wireless Network Emulation [PDF]
IEEE Transactions on Mobile Computing, 2023 Wireless network emulators are being increasingly used for developing and evaluating new solutions for Next Generation (NextG) wireless networks. However, the reliability of the solutions tested on emulation platforms heavily depends on the precision of ...
Davide Villa +6 more
semanticscholar +1 more source
Colosseum: Large-Scale Wireless Experimentation Through Hardware-in-the-Loop Network Emulation [PDF]
International Symposium on Dynamic Spectrum Access Networks, 2021 Colosseum is an open-access and publicly-available large-scale wireless testbed for experimental research via virtualized and softwarized waveforms and protocol stacks on a fully programmable, “white-box” platform.
Leonardo Bonati +18 more
semanticscholar +1 more source
Journal of the American Medical Association (JAMA), 2023 Importance Nonrandomized studies using insurance claims databases can be analyzed to produce real-world evidence on the effectiveness of medical products.
Shirley V. Wang +26 more
semanticscholar +1 more source
AdaPT: Fast Emulation of Approximate DNN Accelerators in PyTorch [PDF]
IEEE Transactions on Computer-Aided Design of Integrated Circuits and Systems, 2022 Current state-of-the-art employs approximate multipliers to address the highly increased power demands of deep neural network (DNN) accelerators. However, evaluating the accuracy of approximate DNNs is cumbersome due to the lack of adequate support for ...
Dimitrios Danopoulos +4 more
semanticscholar +1 more source
Analysis and optimal control of a Huanglongbing mathematical model with resistant vector
Infectious Disease Modelling, 2021 Huanglongbing (HLB) is an incurable disease that affects citrus trees. To better understand the transmission of HLB, the mathematical model is developed to investigate the transmission dynamics of the disease between Asian citrus psyllid (ACP) and citrus
Youquan Luo +3 more
doaj +1 more source
Target Trial Emulation to Improve Causal Inference from Observational Data: What, Why, and How?
Journal of the American Society of Nephrology, 2023 Target trial emulation has drastically improved the quality of observational studies investigating the effects of interventions. Its ability to prevent avoidable biases that have plagued many observational analyses has contributed to its recent ...
Edouard L. Fu
semanticscholar +1 more source
Emulating emulation-resistant malware [PDF]
Proceedings of the 1st ACM workshop on Virtual machine security, 2009 The authors of malware attempt to frustrate reverse engineering and analysis by creating programs that crash or otherwise behave differently when executed on an emulated platform than when executed on real hardware. In order to defeat such techniques and facilitate automatic and semi-automatic dynamic analysis of malware, we propose an automated ...
Min Gyung Kang +4 more
openaire +1 more source
Role of vector resistance and grafting infection in Huanglongbing control models
Infectious Disease Modelling, 2023 Citrus huanglongbing (HLB) is one of the most devastating diseases affecting citrus almost worldwide due to the lack of a cure. To better understand the impact of insecticide resistance and grafting infection on the spread of HLB disease, a vector-borne ...
Shuimei Tang +3 more
doaj +1 more source
Synthese, 2012 zbMATH Open Web Interface contents unavailable due to conflicting licenses.
van Eijck, J., Ruan, J., Sadzik, T.
openaire +3 more sources