Establishing the Principal Descriptor for Electrochemical Urea Production via the Dispersed Dual‐Metals Anchored on the N‐Decorated Graphene
Sign Up to like & getrecommendations! Published in 2022 at "Advanced Science"
DOI: 10.1002/advs.202105697
Abstract: Urea electrosynthesis under mild conditions starting from the adsorption of inert N2 molecules has brought out a promising alternative experimentally to conquer its huge energy consumption in industrial Haber‐Bosch process. The most crucial and inevitable… read more here.
Keywords: graphene; dual metals; principal descriptor; dispersed dual ... See more keywords
Anatomical multiatlas segmentation using local texture statistical properties for matching descriptor with machine learning
Sign Up to like & getrecommendations! Published in 2021 at "International Journal of Imaging Systems and Technology"
DOI: 10.1002/ima.22542
Abstract: The use of anatomical multiatlas methods has proven to be one of the most competitive techniques for brain images segmentation. The majority of these methods are based on visual criteria of similarity between groups of… read more here.
Keywords: descriptor; machine learning; anatomical multiatlas; segmentation ... See more keywords
Finding Chemical Structures Corresponding to a Set of Coordinates in Chemical Descriptor Space
Sign Up to like & getrecommendations! Published in 2017 at "Molecular Informatics"
DOI: 10.1002/minf.201700030
Abstract: When chemical structures are searched based on descriptor values, or descriptors are interpreted based on values, it is important that corresponding chemical structures actually exist. In order to consider the existence of chemical structures located… read more here.
Keywords: descriptor; chemical space; chemical structures; chemical ... See more keywords
Overproduce and select, or Determine Optimal Molecular Descriptor Subset via Configuration Space Optimization? Application to the Prediction of Ecotoxicological Endpoints.
Sign Up to like & getrecommendations! Published in 2023 at "Molecular informatics"
DOI: 10.1002/minf.202200227
Abstract: Predicting the likely biological activity (or property) of compounds is a fundamental and challenging task in the drug discovery process. Current computational methodologies aim to improve their predictive accuracies by using deep learning (DL) approaches.… read more here.
Keywords: overproduce select; optimization; descriptor; configuration space ... See more keywords
G2P: a new descriptor for pedestrian detection
Sign Up to like & getrecommendations! Published in 2018 at "Neural Computing and Applications"
DOI: 10.1007/s00521-018-3815-4
Abstract: Pedestrian detection plays an important role in many applications. Since its birth 13 years ago, Histogram Of Gradient (HOG) descriptor has become a popular descriptor for pedestrian detection. Besides its original instantiation, the HOG also… read more here.
Keywords: descriptor; methodology; new descriptor; hog ... See more keywords
DKD–DAD: a novel framework with discriminative kinematic descriptor and deep attention-pooled descriptor for action recognition
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04030-1
Abstract: In order to improve action recognition accuracy, the discriminative kinematic descriptor and deep attention-pooled descriptor are proposed. Firstly, the optical flow field is transformed into a set of kinematic fields with more discriminativeness. Subsequently, two… read more here.
Keywords: descriptor; deep attention; discriminative kinematic; attention ... See more keywords
Multi-scale multi-block covariance descriptor with feature selection
Sign Up to like & getrecommendations! Published in 2019 at "Neural Computing and Applications"
DOI: 10.1007/s00521-019-04135-7
Abstract: This paper investigates a compact face texture representation able to cover the most discriminant features of facial images. The compactness is achieved by the proposed Pyramid Multi-Level (PML) covariance texture descriptor and the feature selection… read more here.
Keywords: descriptor; descriptor feature; selection; covariance descriptor ... See more keywords
QSAR Study of Angiotensin I-Converting Enzyme Inhibitory Peptides Using SVHEHS Descriptor and OSC-SVM
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Peptide Research and Therapeutics"
DOI: 10.1007/s10989-017-9661-x
Abstract: In this paper, four models of quantitative structure–activity relationship (QSAR) for 84 angiotensin I-converting enzyme inhibitory (ACEI) dipeptides, 169 ACEI tripeptides and 15 ACEI tetrapeptides and the total 268 peptides were established, respectively. During every… read more here.
Keywords: descriptor; osc svm; converting enzyme; angiotensin converting ... See more keywords
New semantic descriptor construction for facial expression recognition based on axiomatic fuzzy set
Sign Up to like & getrecommendations! Published in 2017 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-017-4818-3
Abstract: In this paper, we propose a new semantic descriptor based on axiomatic fuzzy set (AFS) to describe facial expressions. The new descriptor has two advantages: The first one is that it does not depend on… read more here.
Keywords: descriptor; axiomatic fuzzy; based axiomatic; new semantic ... See more keywords
A novel shape descriptor based on salient keypoints detection for binary image matching and retrieval
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-6054-x
Abstract: We introduce a shape descriptor that extracts keypoints from binary images and automatically detects the salient ones among them. The proposed descriptor operates as follows: First, the contours of the image are detected and an… read more here.
Keywords: descriptor; image; shape descriptor; proposed descriptor ... See more keywords
Face retrieval using frequency decoded local descriptor
Sign Up to like & getrecommendations! Published in 2018 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-018-7028-8
Abstract: The local descriptors have been the backbone of most of the computer vision problems. Most of the existing local descriptors are generated over the raw input images. In order to increase the discriminative power of… read more here.
Keywords: descriptor; frequency; frequency decoded; local descriptors ... See more keywords