Results 1 to 10 of about 683,409 (316)
P-CNN: Pose-based CNN Features for Action Recognition [PDF]
2015 IEEE International Conference on Computer Vision (ICCV), 2015 This work targets human action recognition in video. While recent methods typically represent actions by statistics of local video features, here we argue for the importance of a representation derived from human pose.
Chéron, Guilhem +2 more
core +7 more sources
2017 IEEE International Conference on Computer Vision (ICCV), 2017 The deep Convolutional Neural Network (CNN) is the state-of-the-art solution for large-scale visual recognition. Following basic principles such as increasing the depth and constructing highway connections, researchers have manually designed a lot of ...
Xie, Lingxi, Yuille, Alan
core +2 more sources
Time-Domain Measurement Data Accumulation for Slow Moving Point Target Detection in Heavily Cluttered Environments Using CNN [PDF]
Journal of Electromagnetic Engineering and Science, 2023 In modern radars, the target detection probability is increased by lowering the detection threshold via signal processing to detect a point target with a small radar cross-section value.
Wonmin Cho, Nojun Kwak
doaj +1 more source
شناسایی گونههای گیاهی بنه و بادام با استفاده از تلفیق تصاویر رنگی و مدل رقومی سطح پهپاد [PDF]
پژوهش های علوم و فناوری چوب و جنگل, 2022 سابقه و هدف: شناسایی و تهیه نقشه پراکنش گونههای گیاهی در مقیاس تکدرخت با استفاده از دادههای سنجش از دور در مدیریت پایدار جنگل از اهمیت زیادی برخوردار است.
عاطفه اسمخانی +3 more
doaj +1 more source
Comprehensive review of EEG data classification techniques for ADHD detection using machine learning and deep learning [PDF]
Romanian Journal of Pediatrics, 2023 Children who have Attention-Deficit/Hyperactivity Disorder (ADHD) have a chronic behavioral disease. Children with ADHD have a hard time focusing and controlling their actions. One of the most difficult problems in controlling and treating this condition
Nitin Ahire, Raval N. Awale, Abhay Wagh
doaj +1 more source
LGN-CNN: A biologically inspired CNN architecture
Neural Networks, 2022 In this paper we introduce a biologically inspired Convolutional Neural Network (CNN) architecture called LGN-CNN that has a first convolutional layer composed by a single filter that mimics the role of the Lateral Geniculate Nucleus (LGN). The first layer of the neural network shows a rotational symmetric pattern justified by the structure of the net ...
Bertoni, Federico +2 more
openaire +5 more sources
LA BATALLA DE SANTIAGO. CRÓNICA DE UNA CUARENTENA EN LA CAPITAL DE CHILE
Revista de Ciencias Sociales, 2021 La pandemia de covid-19 golpeó a Chile en medio de una crisis político social caracterizada por una dura confrontación entre la ciudadanía y sus instituciones, además, de una profunda crítica al modelo económico instaurado por la dictadura de Augusto ...
Pedro Azócar Guzmán
doaj +1 more source
Editorial for “Properties and Applications of Graphene and Its Derivatives”
Nanomaterials, 2022 Since the very first landmark report by Geim and Novoselov in 2004 on graphene [...]
Jose M. González-Domínguez
doaj +1 more source
Klasifikasi penyakit citra daun anggur menggunakan model CNN-VGG16
Jurnal Teknologi dan Sistem Komputer, 2021 Penelitian ini bertujuan melakukan klasifikasi citra penyakit pada daun anggur dengan menggunakan pengolahan citra. Proses pengolahan citra berupa segmentasi menggunakan algoritme k-means clustering dan proses ekstraksi fitur dengan menggunakan teknik ...
Moh. Arie Hasan +2 more
doaj +1 more source
Cells, 2020 In this work, polythiophene nanoparticles (PTh–NPs) were synthesized by a surfactant-free oxidative chemical polymerization method at 60 °C, using ammonium persulphate as an oxidant.
Deval Prasad Bhattarai, Beom Su Kim
doaj +1 more source