Results 71 to 80 of about 293,560 (163)

Performance Analysis of a Hybrid Complex-Valued CNN-TCN Model for Automatic Modulation Recognition in Wireless Communication Systems

Applied System Innovation
This paper presents a novel deep learning-based automatic modulation recognition (AMR) model, designed to classify ten modulation types from complex I/Q signal data.
Hamza Ouamna, Anass Kharbouche, Noureddine El-Haryqy, Zhour Madini, Younes Zouine   +4 more
doaj   +1 more source

Efficient Music Genre Recognition Using ECAS-CNN: A Novel Channel-Aware Neural Network Architecture

Sensors
In the era of digital music proliferation, music genre classification has become a crucial task in music information retrieval. This paper proposes a novel channel-aware convolutional neural network (ECAS-CNN) designed to enhance the efficiency and ...
Yang Ding, Hongzheng Zhang, Wanmacairang Huang, Xiaoxiong Zhou, Zhihan Shi   +4 more
doaj   +1 more source

Faster R-CNN: Towards Real-Time Object Detection with Region Proposal Networks

, 2015
State-of-the-art object detection networks depend on region proposal algorithms to hypothesize object locations. Advances like SPPnet and Fast R-CNN have reduced the running time of these detection networks, exposing region proposal computation as a ...
Girshick, Ross, He, Kaiming, Ren, Shaoqing, Sun, Jian   +3 more
core  

Pedestrian detection based on improved LeNet-5 convolutional neural network

Journal of Algorithms & Computational Technology, 2019
In this article, according to the real-time and accuracy requirements of advanced vehicle-assisted driving in pedestrian detection, an improved LeNet-5 convolutional neural network is proposed. Firstly, the structure of LeNet-5 network model is analyzed,
Chuan-Wei Zhang, Meng-Yue Yang, Hong-Jun Zeng, Jian-Ping Wen   +3 more
doaj   +1 more source

Fever Detection Using Convolutional Neural Networks (CNNs)

International Journal of Innovative Science and Research Technology (IJISRT)
This research paper is a novel fever detection methodology using the image classification technique with Python-based convolutional neural networks. We have developed a non-invasive and efficient method to identify fever by analysing images of the tongue, based on traditional Chinese medicine. Later on, we built a model which gave 92.2% on the test set
Amith B, Harshitha KN, Vijay R, Meghana B R, Shivandappa ., Narendra Kumar S   +5 more
openaire   +1 more source

State of health estimation of lithium-ion battery based on CNN–WNN–WLSTM

Complex & Intelligent Systems
Accurate and stable estimation of the state of health (SOH), which is one of the critical indicators to characterize the ability of lithium-ion (Li-ion) batteries to store and release energy, is critical in the stable driving of electric vehicles.
Quanzheng Yao, Xianhua Song, Wei Xie
doaj   +1 more source

Efficient Extraction of Deep Image Features Using a Convolutional Neural Network (CNN) for Detecting Ventricular Fibrillation and Tachycardia. [PDF]

J Imaging, 2023
Mjahad A, Saban M, Azarmdel H, Rosado-Muñoz A.   +3 more
europepmc   +1 more source

Automatic interictal epileptiform discharge (IED) detection based on convolutional neural network (CNN). [PDF]

Front Mol Biosci, 2023
Zhang L, Wang X, Jiang J, Xiao N, Guo J, Zhuang K, Li L, Yu H, Wu T, Zheng M, Chen D.   +10 more
europepmc   +1 more source

Breast Cancer Detection Using Deep Learning

Iraqi Journal for Computers and Informatics
This research aims to develop an image classification model by integrating long short-term memory (LSTM) with a convolutional neural network (CNN). LSTM, which is a type of neural network, can retain and retrieve long-term dependencies and improves the ...
ahmed Abed Maeedi, Dalal Abdulmohsin Hammood, Shatha Mezher Hasan   +2 more
doaj   +1 more source

Speech emotion analysis using convolutional neural network (CNN) and gamma classifier-based error correcting output codes (ECOC). [PDF]

Sci Rep, 2023
Zhao Y, Shu X.
europepmc   +1 more source