BLE beacons for indoor positioning at an interactive IoT-based smart museum
P Spachos, KN Plataniotis - IEEE Systems Journal, 2020 - ieeexplore.ieee.org
The Internet of Things (IoT) can enable smart infrastructures to provide advanced services to
the users. New technological advancement can improve our everyday life, even simple tasks …
the users. New technological advancement can improve our everyday life, even simple tasks …
Abnormal driving detection with normalized driving behavior data: A deep learning approach
J Hu, X Zhang, S Maybank - IEEE transactions on vehicular …, 2020 - ieeexplore.ieee.org
Abnormal driving may cause serious danger to both the driver and the public. Existing
detectors of abnormal driving behavior are mainly based on shallow models, which require …
detectors of abnormal driving behavior are mainly based on shallow models, which require …
Scalable inverse reinforcement learning through multifidelity Bayesian optimization
M Imani, SF Ghoreishi - IEEE transactions on neural networks …, 2021 - ieeexplore.ieee.org
Data in many practical problems are acquired according to decisions or actions made by
users or experts to achieve specific goals. For instance, policies in the mind of biologists …
users or experts to achieve specific goals. For instance, policies in the mind of biologists …
A binary learning framework for hyperdimensional computing
Brain-inspired Hyperdimensional (HD) computing is a computing paradigm emulating a
neuron's activity in high-dimensional space. In practice, HD first encodes all data points to …
neuron's activity in high-dimensional space. In practice, HD first encodes all data points to …
Langevin thompson sampling with logarithmic communication: bandits and reinforcement learning
Thompson sampling (TS) is widely used in sequential decision making due to its ease of use
and appealing empirical performance. However, many existing analytical and empirical …
and appealing empirical performance. However, many existing analytical and empirical …
Video foreground extraction using multi-view receptive field and encoder–decoder DCNN for traffic and surveillance applications
The automatic detection of foreground (FG) objects in videos is a demanding area of
computer vision, with essential applications in video-based traffic analysis and surveillance …
computer vision, with essential applications in video-based traffic analysis and surveillance …
Bayesian optimization objective-based experimental design
M Imani, SF Ghoreishi - 2020 American control conference …, 2020 - ieeexplore.ieee.org
Design has become a salient part of most of the scientific and engineering tasks, embracing
a wide range of domains including real experimental settings (eg, material discovery or drug …
a wide range of domains including real experimental settings (eg, material discovery or drug …
RNN-based path prediction of obstacle vehicles with deep ensemble
In this paper, a new approach for obstacle vehicle path prediction, which is important for
advanced driver assistance systems (ADAS) and autonomous vehicles, is proposed based …
advanced driver assistance systems (ADAS) and autonomous vehicles, is proposed based …
An optimal Bayesian intervention policy in response to unknown dynamic cell stimuli
SH Hosseini, M Imani - Information Sciences, 2024 - Elsevier
Interventions in gene regulatory networks (GRNs) aim to restore normal functions of cells
experiencing abnormal behavior, such as uncontrolled cell proliferation. The dynamic …
experiencing abnormal behavior, such as uncontrolled cell proliferation. The dynamic …
Multi-information source constrained Bayesian optimization
SF Ghoreishi, D Allaire - Structural and Multidisciplinary Optimization, 2019 - Springer
Abstract Design decisions for complex systems often can be made or informed by a variety
of information sources. When optimizing such a system, the evaluation of a quantity of …
of information sources. When optimizing such a system, the evaluation of a quantity of …