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Titlebook: Bio-inspired Information and Communication Technologies; 12th EAI Internation Yifan Chen,Tadashi Nakano,Weisi Guo Conference proceedings 20

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41#
發(fā)表于 2025-3-28 15:15:12 | 只看該作者
Leak-Resistant Design of DNA Strand Displacement Systemsdisplacement, predictability and scalability of these DNA-based systems remain limited due to leakages introduced by spuriously triggered displacement events. We present a systematic design method for implementing leak-resistant DNA strand displacement systems in which each legitimate displacement e
42#
發(fā)表于 2025-3-28 20:11:24 | 只看該作者
43#
發(fā)表于 2025-3-28 23:23:11 | 只看該作者
Causal Network Analysis and Fault Root Point Detection Based on Symbolic Transfer Entropyn used for modeling, monitoring and fault diagnosis of complex industrial processes. It can detect the causal relationship between variables without the need to assume any underlying model, but its calculation process is complicated and the calculation time is long. In order to overcome this limitat
44#
發(fā)表于 2025-3-29 06:42:37 | 只看該作者
45#
發(fā)表于 2025-3-29 07:18:31 | 只看該作者
46#
發(fā)表于 2025-3-29 13:37:44 | 只看該作者
47#
發(fā)表于 2025-3-29 18:31:41 | 只看該作者
48#
發(fā)表于 2025-3-29 22:20:15 | 只看該作者
Real-Time Obstacle Detection Based on Monocular Vision for Unmanned Surface Vehiclesme obstacles detection based on monocular vision which can effectively tell apart obstacles on the sea surface from complex background. The main innovation of this paper is to propose a water-boundary-line algorithm based on semantic segmentation and random sample consistency line fitting. And use a
49#
發(fā)表于 2025-3-30 03:23:12 | 只看該作者
A Method of Data Integrity Check and Repair in Big Data Storage Platformrepair the damaged data in time. Considering the problems of low verification efficiency, low check frequency and low calibration accuracy of HDFS data integrity check, this paper proposed a new HDFS storage platform security check and repair scheme. The process can effectively reduce the amount of
50#
發(fā)表于 2025-3-30 05:47:42 | 只看該作者
A Study of Image Recognition for Standard Convolution and Depthwise Separable Convolutioncs. Through using TensorFlow-GPU as backend in convolutional neural network (CNN) and deep learning network, image recognition has been an extreme breakthrough in recent years. However, more and more model parameters result in overfitting problem and computation overhead. In the paper, the performan
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