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A novel method for landslide displacement prediction by integrating advanced computational intelligence algorithms

Chao Zhou, Kunlong Yin, Ying Cao, Bayes Ahmed, Xiaolin Fu
2018 Scientific Reports  
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

Mahdi Rezaei, Mutsuhiro Terauchi, Reinhard Klette
2015 IEEE transactions on intelligent transportation systems (Print)  
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

Adeshina Sirajdin Olagoke, Haidi Ibrahim, Soo Siang Teoh
2020 IEEE Access  
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]

Anant S. Vemuri
2019 arXiv   pre-print
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

Bismita Choudhury, Patrick Then, Biju Issac, Valliappan Raman, Manas Kumar Haldar
2018 International Journal of Image and Graphics  
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

Jiaping Zhao, Laurent Itti
2016 IEEE Transactions on Knowledge and Data Engineering  
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

Yang Zhang, Li Zhang, M.A. Hossain
2015 Expert systems with applications  
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  
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  
., 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

Alka sharm
2013 IOSR Journal of Computer Engineering  
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

Ayman Abaza, Arun Ross, Christina Hebert, Mary Ann F. Harrison, Mark S. Nixon
2013 ACM Computing Surveys  
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

Annamaria Mazzia, Giorgio Pini, Flavio Sartoretto
2014 Applied Mathematics and Computation  
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]

Filip Mihalic, Leandro Simonetti, Girolamo Giudice, Marie Rubin Sander, Richard Lindqvist, Marie Berit Akprioro Peters, Caroline Benz, Eszter Kassa, Dilip Badgujar, Raviteja Inturi, Muhammad Ali, Izabella Krystkowiak (+10 others)
2022 bioRxiv   pre-print
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

W. Engelen, B. M. G. Janssen, M. Merkx
2016 Chemical Communications  
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

Hugo Meyer, Peter Wei, Xiaofan Jiang
2021 Sensors  
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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