165   Artículos

 
en línea
Tushar Ganguli and Edwin K. P. Chong    
We present a novel technique for pruning called activation-based pruning to effectively prune fully connected feedforward neural networks for multi-object classification. Our technique is based on the number of times each neuron is activated during model... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Baobao Liu, Heying Wang, Zifan Cao, Yu Wang, Lu Tao, Jingjing Yang and Kaibing Zhang    
Defect detection holds significant importance in improving the overall quality of fabric manufacturing. To improve the effectiveness and accuracy of fabric defect detection, we propose the PRC-Light YOLO model for fabric defect detection and establish a ... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Katarzyna Matys-Popielska, Krzysztof Popielski, Paulina Matys and Anna Sibilska-Mroziewicz    
Stroke is a leading cause of disability among adults in Europe. Complications following stroke include limb paresis and unilateral spatial neglect (USN) syndrome. These complications significantly reduce the patient?s ability to function normally both in... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Jihong Wang, Zhuo Wang and Lidong Zhang    
Clustering protocols and simultaneous wireless information and power transfer (SWIPT) technology can solve the issue of imbalanced energy consumption among nodes in energy harvesting-cognitive radio sensor networks (EH-CRSNs). However, dynamic energy cha... ver más
Revista: Big Data and Cognitive Computing    Formato: Electrónico

 
en línea
Tianhao Gao, Meng Zhang, Yifan Zhu, Youjian Zhang, Xiangsheng Pang, Jing Ying and Wenming Liu    
Classifying sports videos is complex due to their dynamic nature. Traditional methods, like optical flow and the Histogram of Oriented Gradient (HOG), are limited by their need for expertise and lack of universality. Deep learning, particularly Convoluti... ver más
Revista: Applied Sciences    Formato: Electrónico

 
en línea
Artem T. Turov, Fedor L. Barkov, Yuri A. Konstantinov, Dmitry A. Korobko, Cesar A. Lopez-Mercado and Andrei A. Fotiadi    
This work studies the application of low-cost noise reduction algorithms for the data processing of distributed acoustic sensors (DAS). It presents an improvement of the previously described methodology using the activation function of neurons, which enh... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Bo Xu, Xiang Cui, Wei Ji, Hao Yuan and Juncheng Wang    
Apple grading is an essential part of the apple marketing process to achieve high profits. In this paper, an improved YOLOv5 apple grading method is proposed to address the problems of low grading accuracy and slow grading speed in the apple grading proc... ver más
Revista: Agriculture    Formato: Electrónico

 
en línea
Olivier Pantalé    
Finite element (FE) simulations have been effective in simulating thermomechanical forming processes, yet challenges arise when applying them to new materials due to nonlinear behaviors. To address this, machine learning techniques and artificial neural ... ver más
Revista: Algorithms    Formato: Electrónico

 
en línea
Diego Renza and Dora Ballesteros    
CNN models can have millions of parameters, which makes them unattractive for some applications that require fast inference times or small memory footprints. To overcome this problem, one alternative is to identify and remove weights that have a small im... ver más
Revista: Informatics    Formato: Electrónico

 
en línea
Brett Bowman, Chad Oian, Jason Kurz, Taufiquar Khan, Eddie Gil and Nick Gamez    
Modeling of physical processes as partial differential equations (PDEs) is often carried out with computationally expensive numerical solvers. A common, and important, process to model is that of laser interaction with biological tissues. Physics-informe... ver más
Revista: Algorithms    Formato: Electrónico

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