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A novel method for landslide displacement prediction by integrating advanced computational intelligence algorithms
2018
Scientific Reports
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To conduct accurate displacement prediction with limited data, a novel method is proposed and applied by integrating three computational intelligence algorithms namely: the wavelet transform (WT), the ...
They can be grouped into two categories: physical-based models and data-based models. Physical-based models provide a good understanding and prediction of landslide failure. ...
Acknowledgements This paper was prepared as part of the projects "Studies on the predictive criteria and mechanism of landslides in gently-dipped strata in the Three-Gorges reservoir" (No. 41572292) and ...
doi:10.1038/s41598-018-25567-6
pmid:29740077
pmcid:PMC5940730
fatcat:rn2bnv47jjhe5cuddleqdh6ad4
Robust Vehicle Detection and Distance Estimation Under Challenging Lighting Conditions
2015
IEEE transactions on intelligent transportation systems (Print)
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Avoiding high computational costs and calibration issues involved in stereo-vision based algorithms, this article proposes real-time monocular-vision based techniques for simultaneous vehicle detection ...
The paper develops a collision warning system by detecting vehicles ahead, and by identifying safety distances to assist a distracted driver, prior to occurrence of an imminent crash. ...
On uneven roads (e.g. up-hill) the shadow underneath a vehicle is often not visible at all. Nguyen et al. [4] use stereo vision and a genetic algorithm; Toulminet et al. ...
doi:10.1109/tits.2015.2421482
fatcat:dhofsmiwyrdszpv4jag3kti7m4
Literature Survey on Multi-Camera System and Its Application
2020
IEEE Access
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A learning algorithm was used by Bak et al [129] for person Re-ID based on the Adaboost and it uses Haar-like features. ...
They introduced a novel ensemble Rank SVM algorithm to perform the actual sequencing match and minimize the computational time suffered by the original SVM approach. ...
doi:10.1109/access.2020.3024568
fatcat:j4lupf5ftzflbhvubbv7ppvdh4
Survey of Computer Vision and Machine Learning in Gastrointestinal Endoscopy
[article]
2019
arXiv
pre-print
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It should be be noted by the reader that this is a review from pre-deep learning era. A lot of deep learning based applications have not been covered in this thesis. ...
This paper attempts to provide the reader a place to begin studying the application of computer vision and machine learning to gastrointestinal (GI) endoscopy. ...
[118] , proposes a novel method based on anisotropic image filtering and efficient statistical classification of contraction features. ...
arXiv:1904.13307v1
fatcat:u66me6hx6bfvfkkalqyodf7tmq
A Survey on Biometrics and Cancelable Biometrics Systems
2018
International Journal of Image and Graphics
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It is a feature domain transformation where a distorted version of a biometric template is generated and matched in the transformed domain. ...
This paper presents a review on the state-of-the-art and analysis of different existing methods of biometric based authentication system and cancelable biometric systems along with an elaborate focus on ...
A NOVEL METHOD FOR CANCELABLE IRIS BIOMETRICS We have proposed a novel method for cancelable biometrics in this section. ...
doi:10.1142/s0219467818500067
fatcat:nvjolkcjxbertlxmti3phlksw4
Classifying Time Series Using Local Descriptors with Hybrid Sampling
2016
IEEE Transactions on Knowledge and Data Engineering
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Specifically, we develop an efficient and effective peak and valley detection algorithm from real-case time series data. ...
It then builds local descriptors, and models their distribution by Gaussian mixture models (GMM), and at last it computes a Fisher Vector (FV) to encode each time series. ...
and W911NF-12-1-0433). ...
doi:10.1109/tkde.2015.2492558
fatcat:5rjxynbc3new7o6iydydooqzxm
Adaptive 3D facial action intensity estimation and emotion recognition
2015
Expert systems with applications
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A distance-based clustering and uncertainty measures of the base classifiers within each ensemble model are used to inform the novel class detection. ...
We also propose a set of six novel adaptive ensemble classifiers for robust classification of the six basic emotions and the detection of newly arrived unseen novel emotion classes (emotions that are not ...
ACKNOWLEDGMENT The authors appreciate suggestions and comments from the reviewers and the time the reviewers spent for the review of our paper. ...
doi:10.1016/j.eswa.2014.08.042
fatcat:vjq52ccdtbb7heslznywf6s3nm
2021 Index IEEE Transactions on Circuits and Systems II: Express Briefs Vol. 68
2021
IEEE Transactions on Circuits and Systems - II - Express Briefs
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The primary entry includes the coauthors' names, the title of the paper or other item, and its location, specified by the publication abbreviation, year, month, and inclusive pagination. ...
The Subject Index contains entries describing the item under all appropriate subject headings, plus the first author's name, the publication abbreviation, month, and year, and inclusive pages. ...
., +, TCSII June 2021 2002-2006 Counting circuits A Novel Pipelined Algorithm and Modular Architecture for Non-Square Matrix Transposition. ...
doi:10.1109/tcsii.2022.3144928
fatcat:bm53w7gva5bthholfhhiq4yg3a
IEEE Visualization Cumulative Bibiography (1990 - 2004)
2004
IEEE Visualization 2004 VISUAL-04
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., AND SUNG, J., Haar Wavelets over Triangular Domains with Applications to Multiresolution Models for Flow over a Sphere, 143-150 Z., MACHIRAJU, R., FRY, B., AND MOORHEAD, R.J., Wavelet-based Multiresolution ...
., AND NGUYEN, M., POP: A Hybrid Point and Polygon Rendering System for Large Data, 45-52 500. ...
doi:10.1109/visual.2004.45
fatcat:ixqcibg4qncv5cvu5vwbrqea4i
A Comprehensive lossless modified compression in medical application on DICOM CT images
2013
IOSR Journal of Computer Engineering
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This process is a sequence of square shaped function that further forms wavelet and this wavelet is based on Fourier Transform. HAAR uses orthogonal combination on unit interval. ...
On basis of based on discrete wavelet transform we present a new DICOM based lossless image compression method. ...
Future work aims at experimental evaluation and comparative study of our algorithm with results of existing web content mining algorithms.
References Journals [1]. ...
doi:10.9790/0661-1530107
fatcat:eoyyyi7vmbculctnfqnohxyhue
A survey on ear biometrics
2013
ACM Computing Surveys
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This article provides a detailed survey of research conducted in ear detection and recognition. ...
Even though current ear detection and recognition systems have reached a certain level of maturity, their success is limited to controlled indoor conditions. ...
Islam et al. [2008b] used a cascaded Adaboost technique based on Haar features for ear detection. ...
doi:10.1145/2431211.2431221
fatcat:rmv2r6vgb5ef3phjhg6oxd57tq
Meshless techniques for anisotropic diffusion
2014
Applied Mathematics and Computation
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A good numerical method would be locally mass conservative, produce no or minimal over/under-shoots, produce minimal numerical diffusion, and require no CFL time-step limit for stability. ...
Transport processes are common in geoscience applications, and find their way into models of, e.g., the atmosphere, oceans, shallow water, subsurface, seismic inversion, and deep earth. ...
We show how to solve the equations using a global implicit approach in an efficient way, and we present the derived computational results. ...
doi:10.1016/j.amc.2014.03.032
fatcat:c527226gyfgbffnq4p67qxd7wi
Large-scale phage-based screening reveals extensive pan-viral mimicry of host short linear motifs
[article]
2022
bioRxiv
pre-print
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We find mimicry of host SLiMs to be a ubiquitous viral strategy, reveal novel host proteins hijacked by viruses, and identify cellular pathways frequently deregulated by viral motif mimicry. ...
Using structural and biophysical analyses, we show that viral mimicry-based interactions have similar binding strength and bound conformations as endogenous interactions. ...
., 2022) and assigned confidence levels based on four different criteria: occurrence in replicate selections, identification of overlapping peptide sequences, high counts, occurrence of sequences matching ...
doi:10.1101/2022.06.19.496705
fatcat:kqvchfjcj5drtin4dkhqiadxla
DNA-based control of protein activity
2016
Chemical Communications
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This feature article discusses the development of generic strategies to dynamically control protein activity via DNA-based triggers. ...
Introduction This thesis describes the use of DNA to develop novel biomolecular approaches to control protein-based interactions, with a particular emphasis on developing novel approaches to improve antibody-based ...
The kinetics of the strand displacement is dependent on the length and the sequence of the toehold domain. ...
doi:10.1039/c5cc09853j
pmid:26812623
pmcid:PMC4767025
fatcat:i7ssxmiinjekhk37qlvbru4o4q
Intelligent Video Highlights Generation with Front-Camera Emotion Sensing
2021
Sensors
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In this paper, we present HOMER, a cloud-based system for video highlight generation which enables the automated, relevant, and flexible segmentation of videos. ...
In two separate experiments, including videos filmed with a dual camera setup, and home videos randomly picked from Microsoft's Video Titles in the Wild (VTW) dataset, HOMER demonstrates an improvement ...
. • The design of a scalable event timeline to coherently fuse extracted features and enable the synchronisation of heterogeneous input streams. • A novel algorithm mapping event timeline features into ...
doi:10.3390/s21041035
pmid:33546287
fatcat:3uuln6sckjhyvorm4sdza7imha
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