Results 21 to 30 of about 846,784 (276)

Rethinking the Inception Architecture for Computer Vision [PDF]

, 2015
Convolutional networks are at the core of most state-of-the-art computer vision solutions for a wide variety of tasks. Since 2014 very deep convolutional networks started to become mainstream, yielding substantial gains in various benchmarks.
Ioffe, Sergey, Shlens, Jonathon, Szegedy, Christian, Vanhoucke, Vincent, Wojna, Zbigniew   +4 more
core   +2 more sources

Deep Learning for Large-Scale Real-World ACARS and ADS-B Radio Signal Classification

IEEE Access, 2019
Radio signal classification has a very wide range of applications in the field of wireless communications and electromagnetic spectrum management. In recent years, deep learning has been used to solve the problem of radio signal classification and has ...
Shichuan Chen, Shilian Zheng, Lifeng Yang, Xiaoniu Yang   +3 more
doaj   +1 more source

Lightweight Multiscale CNN Model for Wheat Disease Detection

Applied Sciences, 2023
Wheat disease detection is crucial for disease diagnosis, pesticide application optimization, disease control, and wheat yield and quality improvement. However, the detection of wheat diseases is difficult due to their various types.
Xin Fang, Tong Zhen, Zhihui Li
doaj   +1 more source

Disease Detection in Banana Leaf Plants using DenseNet and Inception Method

Jurnal RESTI (Rekayasa Sistem dan Teknologi Informasi), 2022
Diseases that attack banana plants can affect the growth and productivity of the fruit produced. The disease can be identified by looking at changes in the pattern and color of the leaves.
Andreanov Ridhovan, Aries Suharso, Chaerur Rozikin   +2 more
doaj   +1 more source

A Deep Learning Framework for the Characterization of Thyroid Nodules from Ultrasound Images Using Improved Inception Network and Multi-Level Transfer Learning

Diagnostics, 2023
In the past few years, deep learning has gained increasingly widespread attention and has been applied to diagnosing benign and malignant thyroid nodules. It is difficult to acquire sufficient medical images, resulting in insufficient data, which hinders
O. A. Ajilisa, V. P. Jagathy Raj, M. K. Sabu   +2 more
doaj   +1 more source

SpikeGoogle: Spiking Neural Networks with GoogLeNet‐like inception module

CAAI Transactions on Intelligence Technology, 2022
Spiking Neural Network is known as the third‐generation artificial neural network whose development has great potential. With the help of Spike Layer Error Reassignment in Time for error back‐propagation, this work presents a new network called ...
Xuan Wang, Minghong Zhong, Hoiyuen Cheng, Junjie Xie, Yingchu Zhou, Jun Ren, Mengyuan Liu   +6 more
doaj   +1 more source

Inception and propagation of positive streamers in high-purity nitrogen: effects of the voltage rise-rate [PDF]

, 2012
Controlling streamer morphology is important for numerous applications. Up to now, the effect of the voltage rise rate was only studied across a wide range. Here we show that even slight variations in the voltage rise can have significant effects.
Briels T M P, Briels T M P, Ebert U, Kogelschatz U, Moreau E, Nijdam S, Nijdam S, Nijdam S, S Nijdam, T T J Clevis, Takahashi E, U Ebert, van Heesch E J M, van Veldhuizen E M, Winands G J J, Winands G J J   +15 more
core   +3 more sources

Remote Patient Activity Monitoring System by Integrating IoT Sensors and Artificial Intelligence Techniques

Sensors, 2023
Even with the most cutting-edge tools, treating and monitoring patients—including children, elders, and suspected COVID-19 patients—remains a challenging activity.
Preethi Palanisamy, Amudhavalli Padmanabhan, Asokan Ramasamy, Sakthivel Subramaniam   +3 more
doaj   +1 more source

A Novel Image Classification Method Based on Residual Network, Inception, and Proposed Activation Function

Sensors, 2023
In deeper layers, ResNet heavily depends on skip connections and Relu. Although skip connections have demonstrated their usefulness in networks, a major issue arises when the dimensions between layers are not consistent. In such cases, it is necessary to
Ali Abdullah Yahya, Kui Liu, Ammar Hawbani, Yibin Wang, Ali Naser Hadi   +4 more
doaj   +1 more source

Fellowship training in Acute Care Surgery: from inception to current state. [PDF]

, 2016
Recognizing the need for urgent and emergent surgical care across America, the American Association for the Surgery of Trauma developed and implemented, and oversees, the Acute Care Surgery Fellowship Training Program.
Davis, Kimberly, Jurkovich, Gregory
core   +1 more source