Browsing Computer Science & Engineering by Publisher "Elsevier Ltd"
Now showing items 1-20 of 38
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A review of deep learning-based detection methods for COVID-19
( Elsevier Ltd , 2022 , Article)COVID-19 is a fast-spreading pandemic, and early detection is crucial for stopping the spread of infection. Lung images are used in the detection of coronavirus infection. Chest X-ray (CXR) and computed tomography (CT) ... -
An improved star test for implicit polynomial objects
( Elsevier Ltd , 2016 , Article)For a given point set, a particular point is called a star if it can see all the boundary points of the set. The star test determines whether a candidate point is a star for a given set. It is a key component of some ... -
BEMD-3DCNN-based method for COVID-19 detection
( Elsevier Ltd , 2022 , Article)The coronavirus outbreak continues to spread around the world and no one knows when it will stop. Therefore, from the first day of the identification of the virus in Wuhan, China, scientists have launched numerous research ... -
A blockchain-based architecture for secure vehicular Named Data Networks
( Elsevier Ltd , 2020 , Article)In vehicular networks, vehicles exchange a massive amount of information aiming at improving people's safety. Most of this information is personal or sensitive in nature, which makes security and privacy indispensable ... -
Breast cancer image classification using pattern-based Hyper Conceptual Sampling method
( Elsevier Ltd , 2018 , Article)The increase in biomedical data has given rise to the need for developing data sampling techniques. With the emergence of big data and the rise of popularity of data science, sampling or reduction techniques have been ... -
Computation of Yvon-Villarceau circles on Dupin cyclides and construction of circular edge right triangles on tori and Dupin cyclides
( Elsevier Ltd , 2014 , Article)Ring Dupin cyclides are non-spherical algebraic surfaces of degree four that can be defined as the image by inversion of a ring torus. They are interesting in geometric modeling because: (1) they have several families of ... -
Conceptual data sampling for breast cancer histology image classification
( Elsevier Ltd , 2017 , Article)Data analytics have become increasingly complicated as the amount of data has increased. One technique that is used to enable data analytics in large datasets is data sampling, in which a portion of the data is selected ... -
Deep visual social distancing monitoring to combat COVID-19: A comprehensive survey
( Elsevier Ltd , 2022 , Article Review)Since the start of the COVID-19 pandemic, social distancing (SD) has played an essential role in controlling and slowing down the spread of the virus in smart cities. To ensure the respect of SD in public areas, visual SD ... -
DroidNative: Automating and optimizing detection of Android native code malware variants
( Elsevier Ltd , 2017 , Article)According to the Symantec and F-Secure threat reports, mobile malware development in 2013 and 2014 has continued to focus almost exclusively (~99%) on the Android platform. Malware writers are applying stealthy mutations ... -
Dynamic security metrics for measuring the effectiveness of moving target defense techniques
( Elsevier Ltd , 2018 , Article)Moving Target Defense (MTD) utilizes granularity, flexibility and elasticity properties of emerging networking technologies in order to continuously change the attack surface. There are many different MTD techniques proposed ... -
Edge-based compression and classification for smart healthcare systems: concept, implementation and evaluation
( Elsevier Ltd , 2019 , Article)Smart healthcare systems require recording, transmitting and processing large volumes of multimodal medical data generated from different types of sensors and medical devices, which is challenging and may turn some of the ... -
Electroencephalography (EEG) eye state classification using learning vector quantization and bagged trees
( Elsevier Ltd , 2023 , Article)The analysis of Electroencephalography (EEG) signals has been an effective way of eye state identification. Its significance is highlighted by studies that examined the classification of eye states using machine learning ... -
Emotion recognition from scrambled facial images via many graph embedding
( Elsevier Ltd , 2017 , Article)Facial expression verification has been extensively exploited due to its wide application in affective computing, robotic vision, man-machine interaction and medical diagnosis. With the recent development of Internet-of-Things ... -
Endorsing domestic energy saving behavior using micro-moment classification
( Elsevier Ltd , 2019 , Article)With the ever-growing rise of energy consumption and its devastating financial and environmental repercussions, it is of utmost significance to moderate energy usage with proper energy efficiency tools. This is particularly ... -
Estimating design effort for the compressor design department: a case study at Pratt & Whitney Canada
( Elsevier Ltd , 2009 , Article)The effort required in a design project not only impacts the final cost, but also the project lead-time. This paper presents a case study carried out with the collaboration of Pratt & Whitney Canada, a global leader in the ... -
Evolution-algorithm-based unmanned aerial vehicles path planning in complex environment
( Elsevier Ltd , 2019 , Article)With the wide application of Unmanned Aerial Vehicles (UAVs) in production and life, more and more attention has been paid to the autonomous track planning of UAVs. When UAV path planning algorithm is dealing with flying ... -
Fault diagnosis based on deep learning for current-carrying ring of catenary system in sustainable railway transportation
( Elsevier Ltd , 2021 , Article)In the intelligent traffic transportation, the security and stability are vital for the sustainable transportation and efficient logistics. The fault diagnosis on the catenary system is crucial for the railway transportation. ... -
From spheres to ellipsoids: Speeding up considerably the morphological modeling of pore space and water retention in soils
( Elsevier Ltd , 2019 , Article)In recent years, technological advances have stimulated researchers to try to unravel the extremely complex microscale processes that control the activity of microorganisms in soils. In particular, significant work has ... -
Glandular structure-guided classification of microscopic colorectal images using deep learning
( Elsevier Ltd , 2019 , Article)In this work, we propose to automate the pre-cancerous tissue abnormality analysis by performing the classification of image patches using a novel two-stage convolutional neural network (CNN) based framework. Rather than ... -
Intelligent and secure edge-enabled computing model for sustainable cities using green internet of things
( Elsevier Ltd , 2021 , Article)Internet of Things (IoT) consists of a huge number of sensors along with physical things to gather and forward data intelligently. Green IoT applications based on Wireless Sensor Networks (WSNs) are developed in various ...