Searched for: subject%3A%22Neural%255C+nets%22
(1 - 8 of 8)
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Vishwakarma, Shelly (author), Chetty, Kevin (author), Le Kernec, Julien (author), Chen, Qingchao (author), Adve, Raviraj (author), Gurbuz, Sevgi Zubeyde (author), Li, Wenda (author), Ram, Shobha Sundar (author), Fioranelli, F. (author)
contribution to periodical 2024
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Ghasemi-Olanlari, Farzin (author), Moradi Sepahvand, M. (author), Amraee, Turaj (author)
This paper presents an optimal bidding strategy for a technical and commercial virtual power plant (VPP) in medium-term time horizon. A VPP includes various distributed energy resources (DERs) that can participate in the Pool and Futures markets. Although medium/long-term scheduling provides the opportunity to participate in the futures...
journal article 2023
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Yuan, Cadmus (author), Fan, Xuejun (author), Zhang, Kouchi (author)
Solder joint fatigue is one of the critical failure modes in ball-grid array packaging. Because the reliability test is time-consuming and geometrical/material nonlinearities are required for the physics-driven model, the AI-assisted simulation framework is developed to establish the risk estimation capability against the design and process...
journal article 2021
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Dijkstra, Fokke (author)
A variety of statistical methods are available to detect sudden changes, or breakpoints, in time series when used as multi-temporal change detection technique. However, these methods are unreliable in the presence of noise. Neural nets might detect breakpoints better. These deep learning models are able to generalize and optimize well, even in...
master thesis 2020
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Paredes-Vallés, Federico (author), Scheper, K.Y.W. (author), de Croon, G.C.H.E. (author)
The combination of spiking neural networks and event-based vision sensors holds the potential of highly efficient and high-bandwidth optical flow estimation. This paper presents the first hierarchical spiking architecture in which motion (direction and speed) selectivity emerges in an unsupervised fashion from the raw stimuli generated with an...
journal article 2019
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Bruinsma, Quinten (author), Hill, Kevin (author), Hamburger, Rens (author)
For both security and analytics, much research has gone into person tracking already. As a result, many<br/>different state of the art technologies exist. However, in darkness or without a direct line of sight, much<br/>less technologies are capable of this. The choices become especially limited when the setup needs to<br/>be portable.<br/>A...
bachelor thesis 2017
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Adal, K.M. (author), Van Etten, Peter G. (author), Martinez, Jose P (author), Rouwen, Kenneth (author), Vermeer, K.A. (author), van Vliet, L.J. (author)
Automated detection and quantification of spatio-temporal retinal changes is an important step to objectively assess disease progression and treatment effects for dynamic retinal diseases such as diabetic retinopathy (DR). However, detecting retinal changes caused by early DR lesions such as microaneurysms and dot hemorrhages from...
conference paper 2017
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Adeva, B. (author)
journal article 2004
Searched for: subject%3A%22Neural%255C+nets%22
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