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View article: AQUILA AFRICAN VULTURE OPTIMIZED FUZZY DEEP BELIEF NETWORK FOR SECURE DATA TRANSMISSION IN WIRELESS SENSOR NETWORKS
AQUILA AFRICAN VULTURE OPTIMIZED FUZZY DEEP BELIEF NETWORK FOR SECURE DATA TRANSMISSION IN WIRELESS SENSOR NETWORKS Open
A wireless sensor network (WSN) comprises several individual sensor nodes (SNs) that can perceive, analyze, and interact with data. Energy constraints and security are widely acknowledged as the two most challenging problems with WSNs. To …
View article: Identification and Management of Snake Bite in Asia: A Narrative Review
Identification and Management of Snake Bite in Asia: A Narrative Review Open
Snake bites are an important cause of illness and deaths in the rural population in tropical, subtropical and southeast Asian countries. There are more than 3000 species of snakes found all over the world of which around 300 species are fo…
View article: Surrounding Vehicle Motion Prediction in Non-Lane-Based Environments for ADAS Enhancement
Surrounding Vehicle Motion Prediction in Non-Lane-Based Environments for ADAS Enhancement Open
The significance of forecasting the behavior of road agents is on the rise, particularly in Advanced Driver Assistance Systems (ADAS) enhancement. Predicting road agents’ intentions holds paramount importance for Autonomous vehicles, espec…
View article: A Fine Grained Quality Assessment of Video Anomaly Detection
A Fine Grained Quality Assessment of Video Anomaly Detection Open
In this paper we propose a new approach to assess the performance of video anomaly detection algorithms. Inspired by the COCO metrics we propose a quartile based quality assessment of video anomaly detection to have a detailed breakdown of…
View article: A Low-Cost System for Remote Access and Control of Automation Equipment
A Low-Cost System for Remote Access and Control of Automation Equipment Open
The shift towards remote access and control of equipment has become more prominent, especially due to COVID-19 lockdowns. Access to physical/real equipment for practical learning remains important for engineering studies. Thus, this paper …
View article: How important are faces for person re-identification?
How important are faces for person re-identification? Open
This paper investigates the dependence of existing state-of-the-art person re-identification models on the presence and visibility of human faces. We apply a face detection and blurring algorithm to create anonymized versions of several po…
View article: Investigating Class-Level Difficulty Factors In Multi-Label Classification Problems
Investigating Class-Level Difficulty Factors In Multi-Label Classification Problems Open
This work investigates the use of class-level difficulty factors in multi-label classification problems for the first time. Four class-level difficulty factors are proposed: frequency, visual variation, semantic abstraction, and class co-o…
View article: Feature Learning to Automatically Assess Radiographic Knee Osteoarthritis Severity
Feature Learning to Automatically Assess Radiographic Knee Osteoarthritis Severity Open
View article: Assessing Knee OA Severity with CNN attention-based end-to-end architectures
Assessing Knee OA Severity with CNN attention-based end-to-end architectures Open
This work proposes a novel end-to-end convolutional neural network (CNN) architecture to automatically quantify the severity of knee osteoarthritis (OA) using X-Ray images, which incorporates trainable attention modules acting as unsupervi…
View article: Assessing Knee OA Severity with CNN attention-based end-to-end architectures
Assessing Knee OA Severity with CNN attention-based end-to-end architectures Open
This work proposes a novel end-to-end convolutional neural network (CNN) architecture to automatically quantify the severity of knee osteoarthritis (OA) using X-Ray images, which incorporates trainable attention modules acting as unsupervi…
View article: Predicting knee osteoarthritis severity: comparative modeling based on patient’s data and plain X-ray images
Predicting knee osteoarthritis severity: comparative modeling based on patient’s data and plain X-ray images Open
View article: Introduction to PDSEC 2018 and Keynotes
Introduction to PDSEC 2018 and Keynotes Open
Presents the introductory welcome message from the conference proceedings. May include the conference officers' congratulations to all involved with the conference event and publication of the proceedings record.
View article: Geospatial Data-as-a-Service: Towards planetary scale real-time analytics
Geospatial Data-as-a-Service: Towards planetary scale real-time analytics Open
The rapid growth of earth systems, environmental and geophysical datasets poses a challenge to both end-users and infrastructure providers. For infrastructure and data providers, tasks like managing, indexing and storing large collections …
View article: GSio: A programmatic interface for delivering Big Earth data-as-a-service
GSio: A programmatic interface for delivering Big Earth data-as-a-service Open
In this paper, we present GSio, a software system for serving geospatial raster or gridded Big Earth Data at scale. GSio allows different scientific communities to consume geospatial analysis ready data. It provides a generic interface to …
View article: Automatic Detection of Knee Joints and Quantification of Knee Osteoarthritis Severity using Convolutional Neural Networks
Automatic Detection of Knee Joints and Quantification of Knee Osteoarthritis Severity using Convolutional Neural Networks Open
This paper introduces a new approach to automatically quantify the severity of knee OA using X-ray images. Automatically quantifying knee OA severity involves two steps: first, automatically localizing the knee joints; next, classifying th…
View article: Quantifying radiographic knee osteoarthritis severity using deep convolutional neural networks
Quantifying radiographic knee osteoarthritis severity using deep convolutional neural networks Open
This paper proposes a new approach to automatically quantify the severity of knee osteoarthritis (OA) from radiographs using deep convolutional neural networks (CNN). Clinically, knee OA severity is assessed using Kellgren \& Lawrence (KL)…
View article: An Interactive Segmentation Tool for Quantifying Fat in Lumbar Muscles using Axial Lumbar-Spine MRI
An Interactive Segmentation Tool for Quantifying Fat in Lumbar Muscles using Axial Lumbar-Spine MRI Open
In this paper we present an interactive tool that can be used to quantify fat infiltration in lumbar muscles, which is useful in studying fat infiltration and lower back pain (LBP) in adults. Currently, a qualitative assessment by visual g…
View article: Invivo Pattern Recognition and Digital Image Analysis Shear Stress Distribution in Human Eye
Invivo Pattern Recognition and Digital Image Analysis Shear Stress Distribution in Human Eye Open
Human eye is made of a number of structural components to deliver vision, and cornea is the front window of the eye. Human cornea is made of soft biological materials. It is unfriendly for exposures to the common energy levels of X-ray sca…
View article: Exploring the Earth Using Deep Learning Techniques
Exploring the Earth Using Deep Learning Techniques Open
View article: An interactive segmentation tool for quantifying fat in lumbar muscles using axial lumbar-spine MRI
An interactive segmentation tool for quantifying fat in lumbar muscles using axial lumbar-spine MRI Open
View article: The effects of a free-weight-based resistance training intervention on pain, squat biomechanics and MRI-defined lumbar fat infiltration and functional cross-sectional area in those with chronic low back
The effects of a free-weight-based resistance training intervention on pain, squat biomechanics and MRI-defined lumbar fat infiltration and functional cross-sectional area in those with chronic low back Open
Background Low back pain is one of the most prevalent musculoskeletal conditions in the world. Many exercise treatment options exist but few interventions have utilised free-weight resistance training. To investigate the effects of a free-…
View article: Open Notebook Science Challenge Solubility Dataset
Open Notebook Science Challenge Solubility Dataset Open
A collection of 9730 organic and aqueous solubility measurements collected from the literature and measured using open notebook science. Measurements with assumed incorrect values are marked DONOTUSE.
View article: Insight DCU at TRECVID 2015
Insight DCU at TRECVID 2015 Open
Insight-DCU participated in the instance search (INS), semantic indexing (SIN), and localization tasks (LOC) this year.\nIn the INS task we used deep convolutional network features trained on external data and the query data for this year …
View article: The NCI High Performance Computing and High Performance Data Platform to Support the Analysis of Petascale Environmental Data Collections
The NCI High Performance Computing and High Performance Data Platform to Support the Analysis of Petascale Environmental Data Collections Open