A review and an approach for object detection in images

KU Sharma, NV Thakur - International Journal of …, 2017 - inderscienceonline.com
An object detection system finds objects of the real world present either in a digital image or
a video, where the object can belong to any class of objects namely humans, cars, etc. In …

CGNet: A graph-knowledge embedded convolutional neural network for detection of pneumonia

X Yu, SH Wang, YD Zhang - Information Processing & Management, 2021 - Elsevier
Pneumonia is a global disease that causes high children mortality. The situation has even
been worsening by the outbreak of the new coronavirus named COVID-19, which has killed …

Automated detection of firearms and knives in a CCTV image

M Grega, A Matiolański, P Guzik, M Leszczuk - Sensors, 2016 - mdpi.com
Closed circuit television systems (CCTV) are becoming more and more popular and are
being deployed in many offices, housing estates and in most public spaces. Monitoring …

Robust intensity-based localization method for autonomous driving on snow–wet road surface

M Aldibaja, N Suganuma… - IEEE Transactions on …, 2017 - ieeexplore.ieee.org
Autonomous vehicles are being developed rapidly in recent years. In advance
implementation stages, many particular problems must be solved to bring this technology …

Support vector machine classification of drunk driving behaviour

H Chen, L Chen - International journal of environmental research and …, 2017 - mdpi.com
Alcohol is the root cause of numerous traffic accidents due to its pharmacological action on
the human central nervous system. This study conducted a detection process to distinguish …

Energy literacy among middle and high school youth

J DeWaters, S Powers - 2008 38th Annual Frontiers in …, 2008 - ieeexplore.ieee.org
An energy literacy survey for middle and high school students has been developed
according to established psychometric principles and methodologies. The survey measures …

Fusion of 3D laser scanner and depth images for obstacle recognition in mobile applications

S Budzan, J Kasprzyk - Optics and Lasers in Engineering, 2016 - Elsevier
The problem of obstacle detection and recognition or, generally, scene mapping is one of
the most investigated problems in computer vision, especially in mobile applications. In this …

PCA document reconstruction for email classification

JC Gomez, MF Moens - Computational Statistics & Data Analysis, 2012 - Elsevier
This paper presents a document classifier based on text content features and its application
to email classification. We test the validity of a classifier which uses Principal Component …

Improved representations of heterogeneous carbon reforming catalysis using machine learning

X Li, R Chiong, Z Hu, D Cornforth… - Journal of chemical …, 2019 - ACS Publications
Predicting adsorption energies of reaction intermediates is critical for determining catalytic
reaction mechanisms. Here, we present three combined representations for predicting …

Flexible and efficient spatial extremes emulation via variational autoencoders

L Zhang, X Ma, CK Wikle, R Huser - arXiv preprint arXiv:2307.08079, 2023 - arxiv.org
Many real-world processes have complex tail dependence structures that cannot be
characterized using classical Gaussian processes. More flexible spatial extremes models …