Results 31 to 40 of about 28,970 (210)

Non-invasive load monitoring based on improved color coding and dense convolutional network

Zhejiang dianli
Current research on non-intrusive load monitoring （NILM） based on V-I trajectories faces challenges such as low recognition accuracy for appliances with similar trajectories and complex network structures.
DING Jian, CHEN Jianxiang, LIU Wangpeng, DING Yifan, WANG Puyu   +4 more
doaj   +1 more source

Sparsely Aggregated Convolutional Networks

, 2018
We explore a key architectural aspect of deep convolutional neural networks: the pattern of internal skip connections used to aggregate outputs of earlier layers for consumption by deeper layers.
Deng, Ruizhi, Deng, Zhiwei, Maire, Michael, Mori, Greg, Tan, Ping, Zhu, Ligeng   +5 more
core   +1 more source

Densely Connected Convolutional Network Optimized by Genetic Algorithm for Fingerprint Liveness Detection

IEEE Access, 2021
Fingerprint liveness detection is an essential module for an accurate and reliable fingerprint identification system. In this paper, a Densely Connected Convolutional Network (DenseNet) is used for fingerprint liveness detection and the genetic algorithm
Wen Jian, Yujie Zhou, Hongming Liu
doaj   +1 more source

Benchmark Analysis of Representative Deep Neural Network Architectures

, 2018
This work presents an in-depth analysis of the majority of the deep neural networks (DNNs) proposed in the state of the art for image recognition. For each DNN multiple performance indices are observed, such as recognition accuracy, model complexity ...
Bianco, Simone, Cadene, Remi, Celona, Luigi, Napoletano, Paolo   +3 more
core   +1 more source

Multi-scale DenseNet-Based Electricity Theft Detection [PDF]

, 2018
Electricity theft detection issue has drawn lots of attention during last decades. Timely identification of the electricity theft in the power system is crucial for the safety and availability of the system. Although sustainable efforts have been made, the detection task remains challenging and falls short of accuracy and efficiency, especially with ...
Li, Bo, Xu, Kele, Cui, Xiaoyan, Wang, Yiheng, Ai, Xinbo, Wang, Yanbo   +5 more
openaire   +2 more sources

Building a DenseNet-Based Neural Network with Transformer and MBConv Blocks for Penile Cancer Classification

Applied Sciences
Histopathological analysis is an essential exam for detecting various types of cancer. The process is traditionally time-consuming and laborious. Taking advantage of deep learning models, assisting the pathologist in the diagnosis process is possible. In
Marcos Gabriel Mendes Lauande, Geraldo Braz Junior, João Dallyson Sousa de Almeida, Aristófanes Corrêa Silva, Rui Miguel Gil da Costa, Amanda Mara Teles, Leandro Lima da Silva, Haissa Oliveira Brito, Flávia Castello Branco Vidal, João Guilherme Araújo do Vale, José Ribamar Durand Rodrigues Junior, António Cunha   +11 more
doaj   +1 more source

CentralMaizeGuard: Enhanced deep learning model for maize disease detection and management [PDF]

Archives of Control Sciences
The detection of maize plant leaf diseases is a critical aspect of agricultural management, necessitating accurate and efficient methodologies. The field of maize plant leaf disease detection encounters several challenges that hinder the development of ...
Fathe Jeribi, Ali Tahir, Nadim Rana, Jayabrabu Ramakrishnan, R. John Martin   +4 more
doaj   +1 more source

ECG Arrhythmia Classification Using Transfer Learning from 2-Dimensional Deep CNN Features

, 2018
Due to the recent advances in the area of deep learning, it has been demonstrated that a deep neural network, trained on a huge amount of data, can recognize cardiac arrhythmias better than cardiologists.
Salem, Milad, Shiun-Yuan, Jiann, Taheri, Shayan   +2 more
core   +1 more source

DT-m6A: A DenseNet–Transformer Hybrid Framework for Accurate Prediction of m6A Modification Sites across Diverse Cell Lines and Tissues

Frontiers in Bioscience-Landmark
Background: N6-methyladenosine (m6A) RNA methylation is a crucial epigenetic modification that plays an essential role in regulating diverse biological processes.
Qiyu Tao, Jianhua Jia
doaj   +1 more source

DETECTION OF PNEUMONIA BY USING NINE PRE-TRAINED TRANSFER LEARNING MODELS BASED ON DEEP LEARNING TECHNIQUES

Iraqi Journal for Computers and Informatics, 2021
Pneumonia is a serious chest disease that affects the lungs. This disease has become an important issue that must be taken care of in the field of medicine due to its rapid and intense spread, especially among people who are addicted to smoking.
Mohammed Hashem Almourish, Nashwan Amin Al-khulaidi, Ahmed Yousof Saeed, Borhan Mohammed Radman, Dalil Abdulbari Al-qershi, Abdulfattah Esmail Ba Alawi   +5 more
doaj   +1 more source