Zobrazeno 1 - 10
of 10
pro vyhledávání: '"Abhishek Dubey"'
Publikováno v:
SMARTCOMP
Deep Neural Networks (DNNs) are popularly used for implementing autonomy related tasks in automotive Cyber-Physical Systems (CPSs). However, these networks have been shown to make erroneous predictions to anomalous inputs, which manifests either due
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::ff084b997a95084f0a158a672e3922c8
http://arxiv.org/abs/2103.14172
http://arxiv.org/abs/2103.14172
Publikováno v:
EMSOFT
Perception-based deep neural networks used in Cyber Physical Systems are known to fail when faced with inputs that are out-of-distribution (ODD). ODD detection is a complex problem as we need to first identify the shift in the test data from the trai
Publikováno v:
SP Workshops
Learning Enabled Components (LECs) are widely being used in a variety of perceptions based autonomy tasks like image segmentation, object detection, end-to-end driving, etc. These components are trained with large image datasets with multimodal facto
Autor:
Anirban Bhattacharjee, Gabor Karsai, Hongyang Sun, Abhishek Dubey, Shashank Shekhar, Aniruddha Gokhale, Ajay Chhokra
Publikováno v:
ICFEC
Deep Learning (DL) model-based AI services are increasingly offered in a variety of predictive analytics services such as computer vision, natural language processing, speech recognition. However, the quality of the DL models can degrade over time du
Publikováno v:
SMARTCOMP
The rise in deep learning models in recent years has led to various innovative solutions for intelligent transportation technologies. Use of personal and on-demand mobility services puts a strain on the existing road network in a city. To mitigate th
Publikováno v:
ISORC
This demo showcases the features of an adaptive middleware framework for resource constrained autonomous robots like DeepNNCar (Figure 1). These robots use Learning Enabled Components (LECs), trained with deep learning models to perform control actio
Power grids are evolving at an unprecedented pace due to the rapid growth of distributed energy resources (DER) in communities. These resources are very different from traditional power sources, as they are located closer to loads and thus can signif
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::8f33e62dbbbfe6ae3768f919da92fd89
Publikováno v:
Annual Conference of the PHM Society. 12:8
Accurate prediction of electric load is critical to optimally controlling and operating buildings. It provides the opportunities to reduce building energy consumption and to implement advanced functionalities such as demand response in the context of
Publikováno v:
Automated Technology for Verification and Analysis ISBN: 9783540292098
ATVA
ATVA
In this paper, we describe a computation platform called ReachLab, which enables automatic analysis of embedded software systems that interact with continuous environment. Algorithms are used to specify how the state space of the system model should
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::79160c52a86ceb99e3f4ec1c962cf32d
https://doi.org/10.1007/11562948_11
https://doi.org/10.1007/11562948_11
Publikováno v:
International Journal of Information and Communication Technology. 3:274
This paper presents a novel scheme to select a subset of features from a dataset. We apply genetic algorithm (GA) with a random small subset of features. The GA explores stochastically a better subset of features using various combinations of lengths