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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 ...
An Automated CAD System for Accurate Grading of Uveitis Using Optical Coherence Tomography Images
(Multidisciplinary Digital Publishing Institute, 2021-01)
Uveitis is one of the leading causes of severe vision loss that can lead to blindness worldwide. Clinical records show that early and accurate detection of vitreous inflammation can potentially reduce the blindness rate. ...
A Deep Learning Pipeline for Grade Groups Classification Using Digitized Prostate Biopsy Specimens
(MDPI, 2021)
Prostate cancer is a significant cause of morbidity and mortality in the USA. In this paper, we develop a computer-aided diagnostic (CAD) system for automated grade groups (GG) classification using digitized prostate biopsy ...
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 ...
How AI Can Help in the Diagnostic Dilemma of Pulmonary Nodules
(MDPI, 2022-04)
Pulmonary nodules are the precursors of bronchogenic carcinoma, its early detection facilitates early treatment which save a lot of lives. Unfortunately, pulmonary nodule detection and classification are liable to subjective ...