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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...
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Antonello Pasini and Stefano Amendola
Neural network models are often used to analyse non-linear systems; here, in cases of small datasets, we review our complementary approach to deep learning with the purpose of highlighting the importance and roles (linear, non-linear or threshold) of cer...
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Huoxiang Yang, Yongsheng Liang, Wei Liu and Fanyang Meng
Due to the effective guidance of prior information, feature map-based pruning methods have emerged as promising techniques for model compression. In the previous works, the undifferentiated treatment of all information on feature maps amplifies the negat...
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Wenxin Yang, Xiaoli Zhi and Weiqin Tong
Current edge devices for neural networks such as FPGA, CPLD, and ASIC can support low bit-width computing to improve the execution latency and energy efficiency, but traditional linear quantization can only maintain the inference accuracy of neural netwo...
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Jianlei Kong, Yang Xiao, Xuebo Jin, Yuanyuan Cai, Chao Ding and Yuting Bai
In the realm of smart agriculture technology?s rapid advancement, the integration of various sensors and Internet of Things (IoT) devices has become prevalent in the agricultural sector. Within this context, the precise identification of pests and diseas...
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Shrutika S. Sawant, Marco Wiedmann, Stephan Göb, Nina Holzer, Elmar W. Lang and Theresa Götz
The success of the convolutional neural network (CNN) comes with a tremendous growth of diverse CNN structures, making it hard to deploy on limited-resource platforms. These over-sized models contain a large amount of filters in the convolutional layers,...
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Rong Xiang, Maochen Zhang and Jielan Zhang
Recognition of plant stems is vital to automating multiple processes in fruit and vegetable production. The colour similarity between stems and leaves of tomato plants presents a considerable challenge for recognising stems in colour images. With duality...
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Evon M. Abu-Taieh, Issam AlHadid, Sabah Abu-Tayeh, Ra?ed Masa?deh, Rami S. Alkhawaldeh, Sufian Khwaldeh and Ala?aldin Alrowwad
Mobile banking is a service provided by a bank that allows full remote control of customers? financial data and transactions with a variety of options to serve their needs. With m-banking, the banks can cut down on operational costs whilst maintaining cl...
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Evon M. Abu-Taieh, Issam AlHadid, Khalid Kaabneh, Rami S. Alkhawaldeh, Sufian Khwaldeh, Ra?ed Masa?deh and Ala?Aldin Alrowwad
Smartphone addiction has become a major problem for everyone. According to recent studies, a considerable number of children and adolescents are more attracted to smartphones and exhibit addictive behavioral indicators, which are emerging as serious soci...
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Yan Zhang, Shupeng He, Shiyun Wa, Zhiqi Zong and Yunling Liu
Apple flower detection is an important project in the apple planting stage. This paper proposes an optimized detection network model based on a generative module and pruning inference. Due to the problems of instability, non-convergence, and overfitting ...
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