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SuperPred: drug classification and target prediction [PDF]
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]
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
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
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
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YOLO-Based Simultaneous Target Detection and Classification in Automotive FMCW Radar Systems
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
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
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]
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
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
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

