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Deep Learning-Based Intrusion Detection Systems for Intelligent Vehicular Ad Hoc Networks
(Springer, 2019)
In recent years, malware classifies as a big threat for both internet and computing devices that directly related with the in-vehicle networking security purpose. The main perspective of this paper is to study use of ...
Identifying Personalized Autism Related Impairments Using Resting Functional MRI and ADOS Reports
(Springer, 2018)
In this study, a personalized computer aided diagnosis system for autism spectrum disorder is introduced. The proposed system uses resting state functional MRI data to build local classifiers, global classifier, and correlate ...
Generic ESD Generator Model using Artificial Neural Network
(IEEE, 2021-07)
Different commercial ESD gun models, although complying with the standard ESD waveform requirements in terms of rise time and current values for standard Pellegrini target, produce different ESD waveforms. The variations ...
Localized assistive scene understanding using deep learning and the IoT
(IEEE, 2019-07)
In this paper, we propose a system for localized scene understanding to assist sufferers of visual disabilities. Our system determines the user's indoor location using WiFi fingerprinting and synthesizes a real-time ...
Left ventricle segmentation for cine MR using deep learning
(Elsevier, 2021-01)
Functional analysis of the heart can be performed using cardiac magnetic resonance imaging. Cine imaging is the most widely used cardiac modality. After careful segmentation of the left ventricle (LV), physiological heart ...
Deep learning-based intrusion detection systems for intelligent vehicular ad hoc networks
(Springer, Singapore, 2018-04)
In recent years, malware classifies as a big threat for both internet and computing devices that directly related with the in-vehicle networking security purpose. The main perspective of this paper is to study use of ...
Malignant melanoma classification using deep learning: datasets, performance measurements, challenges and opportunities
(IEEE, 2020-06)
Melanoma remains the most harmful form of skin cancer. Convolutional neural network (CNN) based classifiers have become the best choice for melanoma detection in the recent era. The research has indicated that classifiers ...
Automated Archaeological Feature Detection Using Deep Learning on Optical UAV Imagery: Preliminary Results
(Multidisciplinary Digital Publishing Institute, 2022-01)
This communication article provides a call for unmanned aerial vehicle (UAV) users in archaeology to make imagery data more publicly available while developing a new application to facilitate the use of a common deep ...
Artificial intelligence applications in solid waste management: A systematic research review
(Pergamon, 2020-05)
The waste management processes typically involve numerous technical, climatic, environmental, demographic, socio-economic, and legislative parameters. Such complex nonlinear processes are challenging to model, predict and ...
Deep Learning Models to Detect Online False Information: a Systematic Literature Review
(ACM, 2021-08)
The amount of disseminated information from online content volume is increasing rapidly including trusted and untrusted information that are published by different sources. To counter this problem, we need a comprehensive ...