Results 81 to 90 of about 5,431 (217)

Energy Consumption and CO2 Emissions Forecasting of Transport Sector Using Machine Learning

Energy Science &Engineering, EarlyView.
The transport sector accounts for approximately one‐quarter of Iran's final energy consumption. The energy demand in this sector has the least variation, with petroleum products accounting for more than 85% of the demand. Furthermore, the accelerated growth of energy consumption and the sector's reliance on fossil fuels, which are the main cause of ...
Amir Hossein Akbari, Seyyed Mohammad Hashemi, Meisam Farajollahi   +2 more
wiley   +1 more source

Deep template matching for offline handwritten Chinese character recognition

The Journal of Engineering, 2019
Just like its remarkable achievements in many computer vision tasks, the convolutional neural networks provide an end-to-end solution in handwritten Chinese character recognition (HCCR) with great success.
Zhiyuan Li, Yi Xiao, Qi Wu, Min Jin, Huaxiang Lu   +4 more
doaj   +1 more source

Image Deblurring using Wiener Filtering and Siamese Neural Network

, 2021
Blurred images are difficult to avoid in situations when minor Atmospheric turbulence or camera movement results in low-quality images. We propose a system that takes a blurred image as input and produces a deblurred image by utilizing various filtering ...
Kumar, Shreya, Setia, Vaibhav
core  

Tracking Multi-objects with Anchor-Free Siamese Network

, 2022
Part 6: Perceptual IntelligenceInternational audienceSingle object tracker based on siamese neural network have become one of the most popular frameworks in this field for its strong discrimination ability and high efficiency.
Feng, Jie, Jiao, Licheng, Hui, Bingyu, Yao, Quanhe, Gu, Jing   +4 more
core   +1 more source

Borophene‐based sensing platforms: Pioneering ultrasensitive detection

FlexMat, EarlyView.
Schematic Diagram of Performance Optimization Strategies and Sensing Application Characteristics of Two‐Dimensional Boron‐Based Materials in Novel Sensors. Abstract Borophene is an emerging two‐dimensional (2D) material. Since significant breakthroughs were achieved in the experimental synthesis of borophene, the exploration and development of ...
Chi Yuan, Yanpeng Ji, Yi Liu, Guoan Tai
wiley   +1 more source

Deep Spatial-Temporal Joint Feature Representation for Video Object Detection

Sensors, 2018
With the development of deep neural networks, many object detection frameworks have shown great success in the fields of smart surveillance, self-driving cars, and facial recognition. However, the data sources are usually videos, and the object detection
Baojun Zhao, Boya Zhao, Linbo Tang, Yuqi Han, Wenzheng Wang   +4 more
doaj   +1 more source

Elevated Hemoglobin A2: A Molecular Revisited, and Implications to β‐Thalassemia Screening

Journal of Clinical Laboratory Analysis, EarlyView.
In Thailand, the Hb A2 cut‐off value for β‐thalassemia carrier has been changed from 4.0% to 3.6% since 2015. We examined the molecular basis of β‐thalassemia in a large cohort of Thai subjects with this change. The molecular basis of β‐thalassemia was updated, and a change in the Hb A2 cut‐off can alter this spectrum.
Kritsada Singha, Anupong Pansuwan, Hataichanok Srivorakun, Attawut Chaibunruang, Supawadee Yamsri, Wanicha Tepakhan, Kanokwan Sanchaisuriya, Goonnapa Fucharoen, Supan Fucharoen   +8 more
wiley   +1 more source

Informationization Design of College English Corpus Using Deep Learning Algorithms

Journal of Applied Science and Engineering
This study proposes the ISSO-SNN model for semantic readability assessment in a college English corpus, addressing limitations of traditional methods. Using NLP preprocessing and TF-IDF features, the model leverages a Siamese network optimized with ISSO ...
Cheng Lin, Ruixue Li
doaj   +1 more source

Local Descriptor Learning for Change Detection in Synthetic Aperture Radar Images via Convolutional Neural Networks

IEEE Access, 2019
In this paper, we present a novel convolutional neural network (CNN)-based model for change detection in synthetic aperture radar (SAR) images. Considering that change detection task takes image pairs as an input, we first explore multiple neural network
Huihui Dong, Wenping Ma, Yue Wu, Maoguo Gong, Licheng Jiao   +4 more
doaj   +1 more source

Intelligent design of artificial biocatalyst for biomedical diseases

Journal of Intelligent Medicine, EarlyView.
This review summarizes recent advances in the intelligent design of artificial biocatalysts for biomedical diseases. By leveraging tailored design strategies, including environment‐responsive engineering and rational/artificial intelligence‐aided optimization, these biocatalysts enable precise modulation of pathological microenvironments and targeted ...
Lijie Zhang, Nan Song, Huanhuan Qiao, Si Sun   +3 more
wiley   +1 more source