Adversarial examples on object recognition: A comprehensive survey
Deep neural networks are at the forefront of machine learning research. However, despite
achieving impressive performance on complex tasks, they can be very sensitive: Small …
achieving impressive performance on complex tasks, they can be very sensitive: Small …
State of the art of control schemes for smart systems featuring magneto-rheological materials
This review presents various control strategies for application systems utilizing smart
magneto-rheological fluid (MRF) and magneto-rheological elastomers (MRE). It is well …
magneto-rheological fluid (MRF) and magneto-rheological elastomers (MRE). It is well …
Short term traffic flow prediction for a non urban highway using artificial neural network
Abstract This study applies Artificial Neural Network (ANN) for short term prediction of traffic
flow using past traffic data. The model incorporates traffic volume, speed, density, time and …
flow using past traffic data. The model incorporates traffic volume, speed, density, time and …
Sensitivity analysis of Takagi–Sugeno fuzzy neural network
In this paper, we first define a measure of statistical sensitivity of a zero-order Takagi–
Sugeno (TS) fuzzy neural network (FNN) with respect to perturbation of weights and …
Sugeno (TS) fuzzy neural network (FNN) with respect to perturbation of weights and …
Service quality evaluation and service improvement using online reviews: A framework combining deep learning with a hierarchical service quality model
XX Liu, ZY Chen - Electronic Commerce Research and Applications, 2022 - Elsevier
In the era of big data, service quality evaluation using online reviews has become a popular
topic. However, very few studies focus simultaneously on service quality evaluation and …
topic. However, very few studies focus simultaneously on service quality evaluation and …
Designing a bidirectional, adaptive neural interface incorporating machine learning capabilities and memristor-enhanced hardware
S Shchanikov, A Zuev, I Bordanov, S Danilin… - Chaos, solitons & …, 2021 - Elsevier
Building bidirectional biointerfaces is one of the key challenges of modern engineering and
medicine, with dramatic potential impact on bioprosthetics. Two of the major challenges of …
medicine, with dramatic potential impact on bioprosthetics. Two of the major challenges of …
ANN based short-term traffic flow forecasting in undivided two lane highway
Short term traffic forecasting is one of the important fields of study in the transportation
domain. Short term traffic forecasting is very useful to develop a more advanced …
domain. Short term traffic forecasting is very useful to develop a more advanced …
Towards efficient building designing: Heating and cooling load prediction via multi-output model
In the current technological era, energy-efficient buildings have a significant research body
due to increasing concerns about energy consumption and its environmental impact …
due to increasing concerns about energy consumption and its environmental impact …
Cycle-level traffic conflict prediction at signalized intersections with LiDAR data and Bayesian deep learning
P Wu, W Wei, L Zheng, Z Hu, M Essa - Accident Analysis & Prevention, 2023 - Elsevier
Real-time safety prediction models are vital in proactive road safety management strategies.
This study develops models to predict traffic conflicts at signalized intersections at the signal …
This study develops models to predict traffic conflicts at signalized intersections at the signal …
Short term traffic flow prediction in heterogeneous condition using artificial neural network
Traffic congestion is one of the main problems related to transportation in developed as well
as developing countries. Traffic control systems are based on the idea to avoid traffic …
as developing countries. Traffic control systems are based on the idea to avoid traffic …