|
|
|
|
|
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
|
|
|
|
|
|
|
|
|
|
|
Nosa Aikodon, Sandra Ortega-Martorell and Ivan Olier
Patients in Intensive Care Units (ICU) face the threat of decompensation, a rapid decline in health associated with a high risk of death. This study focuses on creating and evaluating machine learning (ML) models to predict decompensation risk in ICU pat...
ver más
|
|
|
|
|
|
|
|
|
|
|
Huayu Lu, Ke Ma, Xiangyang Chen, Shiwei Zhou, Yiwei Li, Zecheng Zhang, Chu Wang, Fu Chen and Xinya Wen
The incorporation of organic fertilizer is an important practice to improve the sustainability and productivity of crop production and decrease environmental pollution from crop-livestock systems in global agriculture. However, establishing an evaluation...
ver más
|
|
|
|
|
|
|
|
|
|
|
Qiang Cheng, Yong Cao, Zhifeng Liu, Lingli Cui, Tao Zhang and Lei Xu
The computer numerically controlled (CNC) system is the key functional component of CNC machine tool control systems, and the servo drive system is an important part of CNC systems. The complex working environment will lead to frequent failure of servo d...
ver más
|
|
|
|
|
|
|
|
|
|
|
Zhongda Ren, Chuanjie Liu, Yafei Ou, Peng Zhang, Heshan Fan, Xiaolong Zhao, Heqin Cheng, Lizhi Teng, Ming Tang and Fengnian Zhou
Effectively simulating the variation in suspended sediment concentration (SSC) in estuaries during typhoons is significant for the water quality and ecological conditions of estuarine shoal wetlands and their adjacent coastal waters. During typhoons, SSC...
ver más
|
|
|
|
|
|
|
|
|
|
|
Alper Taner, Mahtem Teweldemedhin Mengstu, Kemal Çagatay Selvi, Hüseyin Duran, Ibrahim Gür and Nicoleta Ungureanu
Having the advantages of speed, suitability and high accuracy, computer vision has been effectively utilized as a non-destructive approach to automatically recognize and classify fruits and vegetables, to meet the increased demand for food quality-sensin...
ver más
|
|
|
|
|
|
|
|
|
|
|
Lina Zhou, Leijinyu Zhou, Hongbo Wu, Tingting Jing, Tianhao Li, Jinsheng Li, Lijuan Kong and Limei Chen
In order to monitor cadmium contamination in lettuce quickly, non-invasively, and accurately, and to understand the growth status of lettuce under cadmium pollution, lettuce was used as the test material to detect and analyze the visible?near-infrared re...
ver más
|
|
|
|
|
|
|
|
|
|
|
Adriano Mancini, Francesco Solfanelli, Luca Coviello, Francesco Maria Martini, Serena Mandolesi and Raffaele Zanoli
Yield prediction is a crucial activity in scheduling agronomic operations and in informing the management and financial decisions of a wide range of stakeholders of the organic durum wheat supply chain. This research aims to develop a yield forecasting s...
ver más
|
|
|
|
|
|
|
|
|
|
|
Wenxia Lu, Xueyong Tian, Yongguang Ma, Yinyan Guan, Libo Liu and Liwei Shi
Sewage treatment plants face significant problems as a result of the annual growth in urban sewage discharge. Substandard sewage discharge can also be caused by rising sewage treatment expenses and unpredictable procedures. The most widely used sewage tr...
ver más
|
|
|
|
|
|
|
|
|
|
|
Chaitali Bhattacharyya and Sungho Kim
With the development of new technologies inside car mechanisms with various sensors connected to the IoT, a new generation of automation is attracting attention. However, there are still some factors that are difficult to detect. Among them, one of the h...
ver más
|
|
|
|
|
|