Results 121 to 130 of about 288,791 (262)

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

Optoelectronic‐Driven van der Waals Ferroelectric Materials‐Based Memory Devices for Retinomorphic and In‐Sensory Hardware

Advanced Science, EarlyView.
2D ferroelectrics materials enabling non‐volatile polarization memory, optical excitability, and neuromorphic processing within a unified material and provides a mechanistic analysis of polarization‐induced band modulation, including photon‐assisted domain reorientation, switching kinetics, and interfacial dipole coupling that governs resistive ...
Parthasarathi Pal, Yeong‐Her Wang, Sanjay Kumar, Themis Prodromakis   +3 more
wiley   +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

Enhanced High Dimensionality and the Information Processing Capacity in Interfered Spin Wave‐Based Reservoir Computing, Achieved With Eight Detectors

Advanced Electronic Materials, EarlyView.
Physical reservoir computing (PRC) based on spin wave interference has demonstrated high computational performance, yet room for improvement remains. In this study, we fabricated this concept PRC with eight detectors and evaluated the impact of the number of detectors using a chaotic time series prediction task.
Sota Hikasa, Wataru Namiki, Daiki Nishioka, Maki Nishimura, Ryo Iguchi, Kazuya Terabe, Takashi Tsuchiya   +6 more
wiley   +1 more source

Identification of Crown of Thorns Starfish (COTS) using Convolutional Neural Network (CNN) and attention model. [PDF]

PLoS One, 2023
Heenaye-Mamode Khan M, Makoonlall A, Nazurally N, Mungloo-Dilmohamud Z.   +3 more
europepmc   +1 more source

Which Method Best Predicts Postoperative Complications: Deep Learning, Machine Learning, or Conventional Logistic Regression?

Annals of Gastroenterological Surgery, EarlyView.
Deep learning has shown promise in predicting postoperative complications, particularly when using image or time‐series data. However, on tabular clinical data such as the NCD, it often underperforms compared to conventional machine learning. Integrating multimodal data may enhance predictive accuracy and interpretability in surgical care.
Ryosuke Fukuyo, Masanori Tokunaga, Hiroyuki Yamamoto, Hideki Ueno, Yusuke Kinugasa   +4 more
wiley   +1 more source

Comparative approach to different convolutional neural network (CNN) architectures applied to human behavior detection. [PDF]

Neural Comput Appl, 2023
Shirabayashi JV, Braga ASM, da Silva J.
europepmc   +1 more source

RIC-CNN: Rotation-Invariant Coordinate Convolutional Neural Network

Pattern Recognition
In recent years, convolutional neural network has shown good performance in many image processing and computer vision tasks. However, a standard CNN model is not invariant to image rotations. In fact, even slight rotation of an input image will seriously degrade its performance.
Zhao Guoying, Mo Hanlin
openaire   +2 more sources

Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution

Advanced Intelligent Discovery, EarlyView.
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren, Qian Jiang, Xin Jin, Puming Wang, Xing Chu, Shaowen Yao, Shengfa Miao   +6 more
wiley   +1 more source

Optimization of Trash Identification on the House Compound Using a Convolutional Neural Network (CNN) and Sensor System. [PDF]

Sensors (Basel), 2023
Naf'an E, Sulaiman R, Ali NM.
europepmc   +1 more source