Results 51 to 60 of about 229,861 (318)

A Review Study on Investing Deep Learning in The Field of Virtual Dressing

Syrian Journal for Science and Innovation
This study provides a comprehensive review and detailed analysis of existing works based on deep learning for 3D pose estimation, transforming 2D clothing items into a person’s image using artificial intelligence (AI) techniques to develop virtual ...
Sarah SHIKH ALSHABAB, Chadi Albitar
doaj   +1 more source

CNN-BiLSTM prediction (1,000).

, 2019
CNN-BiLSTM prediction (1,000).
Ruixiong Ma (7866257), Haiou Wang (7866260), Siquan Hu (7866254)   +2 more
core   +1 more source

ASReview CNN HPO plugin

, 2021
This repository contains an extention for ASReview containing a convolutional neural network (CNN) model that may be utilised during a systematic review with ...
Bart-Jan Boverhof
core   +1 more source

Multimodal Perception and Machine Learning‐Empowered Human Machine Interfaces With Double‐Network Hydrogel Fibers

Advanced Functional Materials, EarlyView.
This work develops polyacrylamide‐alginate (PAM‐Alg) double‐network hydrogel fibers for multimodal perception and intelligent human‐machine interfaces. The covalent‐ionic network provides high strength, toughness, and stable conductivity. Easily woven into wearables and integrated with soft robots, the fibers enable object and temperature recognitions ...
Yujue Yang, Minyu Qiu, Di Tan, Xinlong Liu, Junze Zhang, Ziyu He, Jing Han, Yuanyuan Gao, Zihua Li, Hong Fu, Bingang Xu   +10 more
wiley   +1 more source

Multi-step CNN forecasting for COVID-19 multivariate time-series

IJAIN (International Journal of Advances in Intelligent Informatics), 2023
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
doaj   +1 more source

P-CNN: Percept-CNN for semantic segmentation

Computer Methods in Biomechanics and Biomedical Engineering: Imaging & Visualization
The task of image segmentation remains a fundamental challenge, in the field of computer vision. Convolutional Neural Networks (CNNs) have achieved significant success in this field, yet there are some limitations in the conventional approach. The process of accurate, pixel-wise image annotation is time-consuming, as well as requires more human effort.
Deepak Hegde, G. N. Balaji
openaire   +2 more sources

Generalized CNN: Potentials of a CNN with non-uniform weights [PDF]

CNNA '92 Proceedings Second International Workshop on Cellular Neural Networks and Their Applications, 2003
A generalization of the cellular neural network (CNN) paradigm is obtained by removing the uniformly constraint on weight values. Such generalized CNNs are capable of new tasks, such as function approximation or associative memory. A stability analysis of these networks is presented.
openaire   +2 more sources

CNN-RNN prediction (1,000).

, 2019
CNN-RNN prediction (1,000).
Ruixiong Ma (7866257), Haiou Wang (7866260), Siquan Hu (7866254)   +2 more
core   +1 more source

Parameters of FS-CNN-BGRU model.

, 2022
Parameters of FS-CNN-BGRU model.
Xiao Wang (19312), Changjun Zhou (451444), Qihang Zhou (12047063)   +2 more
core   +1 more source

Transparent and Robust LiCl–Organohydrogel Triboelectric Nanogenerator With Deep Learning Assisted Sensing

Advanced Functional Materials, EarlyView.
Develop a LiCl–PEI–PAM hydrogel with 3000% stretchability and excellent optical transparency. Through comparative studies of various salts, confirm that LiCl is the most suitable salt for high TENG output. Achieve excellent freeze‐resistant, dry‐resistant, and rapid self‐healing (10 s) properties even in extreme environments. Balance ionic conductivity,
Hai Anh Thi Le, Thien Trung Luu, Duc‐Manh Dinh, Kyehan Rhee, Kyungwho Choi, Dukhyun Choi, Yong Tae Park   +6 more
wiley   +1 more source