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SuperPred: drug classification and target prediction [PDF]

open access: yesNucleic Acids Research, 2008
The drug classification scheme of the World Health Organization (WHO) [Anatomical Therapeutic Chemical (ATC)-code] connects chemical classification and therapeutic approach. It is generally accepted that compounds with similar physicochemical properties exhibit similar biological activity. If this hypothesis holds true for drugs, then the ATC-code, the
Dunkel, Mathias   +4 more
openaire   +2 more sources

Feature diversity for optimized human micro-doppler classification using multistatic radar [PDF]

open access: yes, 2017
This paper investigates the selection of different combinations of features at different multistatic radar nodes, depending on scenario parameters, such as aspect angle to the target and signal-to-noise ratio, and radar parameters, such as dwell time ...
Fioranelli, Francesco   +3 more
core   +2 more sources

Attribute-Guided Multi-Scale Prototypical Network for Few-Shot SAR Target Classification

open access: yesIEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 2021
Few-shot synthetic aperture radar (SAR) target classification has received more and more attention in recent years, where most of the existing methods have applied off-the-shelf networks designed for natural images to SAR images, ignoring the special ...
Siyuan Wang   +3 more
doaj   +1 more source

Deep Learning-Based Target Tracking and Classification for Low Quality Videos Using Coded Aperture Cameras

open access: yesSensors, 2019
Compressive sensing has seen many applications in recent years. One type of compressive sensing device is the Pixel-wise Code Exposure (PCE) camera, which has low power consumption and individual control of pixel exposure time.
Chiman Kwan   +6 more
doaj   +1 more source

YOLO-Based Simultaneous Target Detection and Classification in Automotive FMCW Radar Systems

open access: yesSensors, 2020
This paper proposes a method to simultaneously detect and classify objects by using a deep learning model, specifically you only look once (YOLO), with pre-processed automotive radar signals.
Woosuk Kim   +4 more
doaj   +1 more source

Data augmentation and deep neural network classification based on ship radiated noise

open access: yesFrontiers in Marine Science, 2023
IntroductionVarious types of ships sail at sea, and identifying maritime ship types through shipradiated noise is one of the tasks of ocean observation.
Zhuofan Xie   +10 more
doaj   +1 more source

Point Cloud Data Processing Optimization in Spectral and Spatial Dimensions Based on Multispectral Lidar for Urban Single-Wood Extraction

open access: yesISPRS International Journal of Geo-Information, 2023
Lidar can effectively obtain three-dimensional information on ground objects. In recent years, lidar has developed rapidly from single-wavelength to multispectral hyperspectral imaging.
Shuo Shi   +6 more
doaj   +1 more source

Stellar classification of CoRoT targets [PDF]

open access: yesAstronomy & Astrophysics, 2016
24 pages, 30 figures, accepted for publication in A& ...
Damiani, C.   +7 more
openaire   +3 more sources

SAR Target Classification Based on Deep Forest Model

open access: yesRemote Sensing, 2020
Synthetic aperture radar (SAR) has become one of the most important means of information acquisition in today’s society and shows great potential in many fields. Target identification and classification of SAR images are also the focus of research.
Jiahuan Zhang, Hongjun Song, Binbin Zhou
doaj   +1 more source

Contrastive Domain Adaptation-Based Sparse SAR Target Classification under Few-Shot Cases

open access: yesRemote Sensing, 2023
Due to the imaging mechanism of synthetic aperture radar (SAR), it is difficult and costly to acquire abundant labeled SAR images. Moreover, a typical matched filtering (MF) based image faces the problems of serious noise, sidelobes, and clutters, which ...
Hui Bi   +4 more
doaj   +1 more source

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