Results 31 to 40 of about 278,943 (296)
CNN+CNN: Convolutional Decoders for Image Captioning
Image captioning is a challenging task that combines the field of computer vision and natural language processing. A variety of approaches have been proposed to achieve the goal of automatically describing an image, and recurrent neural network (RNN) or long-short term memory (LSTM) based models dominate this field.
Qingzhong Wang, Antoni B. Chan
openaire +3 more sources
Deep Learning untuk Klasifikasi Diabetic Retinopathy menggunakan Model EfficientNet
ABSTRAK Diabetic Retinopathy merupakan penyakit yang dapat mengakibatkan kebutaan mata yang disebabkan oleh adanya komplikasi penyakit diabetes melitus.
SYAMSUL RIZAL +4 more
doaj +1 more source
A Novel Fuzzy Optimized CNN-RNN Method for Facial Expression Recognition
Facial expression is one of the important ways of transferring emotion in interpersonal communication, and it has been widely used in many interpersonal communication systems.
Dong Zhang, Qichuan Tian
doaj +1 more source
CNN Ensemble learning method for Transfer learning: A Review
This study provides a review of CNN's ensemble learning method for transfer learning by highlighting sections such as review studies, datasets, pre-trained models, transfer learning, ensemble learning, and performance.
Yudha Islami Sulistya +2 more
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P-CNN: Pose-Based CNN Features for Action Recognition [PDF]
ICCV, December 2015, Santiago ...
Chéron, Guilhem +2 more
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Penerapan Convolutional Long Short-Term Memory untuk Klasifikasi Teks Berita Bahasa Indonesia
Klasifikasi teks saat ini telah menjadi sebuah bidang yang banyak diteliti, khususnya terkait Natural Language Processing (NLP). Terdapat banyak metode yang dapat dimanfaatkan untuk melakukan klasifikasi teks, salah satunya adalah metode deep learning ...
Yudi Widhiyasana +3 more
doaj +1 more source
Modeling of Convolutional Neural Network Architecture for Recognizing The Pandava Mask
This research was conducted to observe the use of architectural model Convolutional Neural Networks (CNN) LeNEt, which was suitable to use for Pandava mask objects.
Andi Sanjaya +2 more
doaj +1 more source
Multi-step CNN forecasting for COVID-19 multivariate time-series
The new coronavirus (COVID-19) has spread to over 200 countries, with over 36 million confirmed cases as of October 10, 2020. As a result, numerous machine learning models capable of forecasting the epidemic worldwide have been produced.
Haviluddin Haviluddin, Rayner Alfred
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Objective For cartilage morphology to serve as a scalable endpoint in clinical trials, analyses should be performed automatically without human interaction. To clinically validate artificial intelligence (AI)‐based analysis, we studied cartilage loss from MRI prior to knee replacement.
Felix Eckstein +3 more
wiley +1 more source
The manual and time-consuming nature of current agronomic technology monitoring of fertilizer and irrigation requirements, the possibility of overusing fertilizer and water, the size of cassava plantations, and the scarcity of human resources are among ...
Ahmad Chusyairi +3 more
doaj +1 more source

