The proceedings contain 162 papers. The topics discussed include: summary and experiment on the exploration of brain tumor image classification recognition: initial experience of artificial intelligence technology;res...
ISBN:
(纸本)9781665421867
The proceedings contain 162 papers. The topics discussed include: summary and experiment on the exploration of brain tumor image classification recognition: initial experience of artificial intelligence technology;research progress of monitoring system based on wearable fall detection equipment for the elderly;automatic classification of Chinese long texts based on deep transfer learning algorithm;analysis of library loan records based on hybrid apriori- genetic algorithm;mixing pooling instead of class token representation learning for vision transformer;an gradient-based continuous-time trajectory optimization method for real-time collision avoidance on collaborative robot;research on the scheduling strategy of intelligent manufacturing workshop based on machinelearning;a firefly optimization fault-tolerant control algorithm for 4500m human occupied vehicle;a blockchain-based smart agriculture privacy protection data aggregation scheme;and improved method of multi-objective particle swarm algorithm learning factor based on fitness change.
This article mainly introduces the use of the TensorFlow platform, through the Unity 3d engine, a 3d rendering tool, to simulate a car in a 3d world using TensorFlow training andlearning, which can avoid obstacles in...
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The conventional time-frequency analysis method of the vibration signal distribution of rotating machinery has a low correlation coefficient between the time-frequency features and the vibration signal, which leads to...
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Nowadays, Social Media websites have become increasingly popular, hosting millions of users daily and accounting for countless interactions. Among them, Twitter is extraordinarily popular, boasting a huge user base an...
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With the continuous development of computer network technology, its application in learning and education management also occupies an important position. With the advent of the information age, overseas students from ...
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The proceedings contain 6 papers. The special focus in this conference is on Deployable machinelearning for Security Defense. The topics include: Few-Sample Named Entity Recognition for Security Vulnerability Reports...
ISBN:
(纸本)9783030878382
The proceedings contain 6 papers. The special focus in this conference is on Deployable machinelearning for Security Defense. The topics include: Few-Sample Named Entity Recognition for Security Vulnerability Reports by Fine-Tuning Pre-trained Language Models;dexRay: A Simple, yet Effective Deep learning Approach to Android Malware Detection Based on Image Representation of Bytecode;attacks on Visualization-Based Malware Detection: Balancing Effectiveness and Executability;a Survey on Common Threats in npm and PyPi Registries.
The proceedings contain 210 papers. The topics discussed include: research on anti-lock braking system of electro-mechanical braking vehicle based on feature extraction;research on vehicle control system of constructi...
The proceedings contain 210 papers. The topics discussed include: research on anti-lock braking system of electro-mechanical braking vehicle based on feature extraction;research on vehicle control system of construction machinery based on machine vision;research on key technologies of basketball object segmentation and tracking based on image analysis;research on optimization method of computer network service quality based on feature matching algorithm;research on artificial intelligence machinelearning character recognition method based on feature fusion;ultimate strength analysis of longitudinal bending of hull girder based on image analysis;research on character behavior recognition based on local spatio-temporal relationship in surveillance video;andapplication of wireless sensor networks in the sensitive data security of intelligent data center under the big data environment.
The use of advanced machinelearning (ML) models for manufacturing could potentially reduce the pre-production testing and validation time for new processes. Once we decide that ML is indeed a suitable tool to apply i...
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The use of advanced machinelearning (ML) models for manufacturing could potentially reduce the pre-production testing and validation time for new processes. Once we decide that ML is indeed a suitable tool to apply in smart manufacturing processes, the challenge lies in training, validating, and testing an ML model in a pre-production environment so that engineers can be confident that the model building effort can be successfully transitioned to actual production. This paper aims at explaining the in-works of a given in-situ classifier for predicting the quality welds in ultrasonic welded battery tabs. Predicting the quality of new samples cannot attain full certainty due to characteristics of the data the model was trained on (e.g., noisy or wrongly labeled). By developing explainable methods to such connectionist learning models (also known as black boxes), we show why the classifier outputs were predicted, making these predictions better understood and trustworthy. (C) 2021 The Authors. Published by Elsevier B.V.
The proceedings contain 301 papers. The topics discussed include: study on performance optimization and physical properties testing of a new type of high thermal conductive damping coating;study of a multi-fusion posi...
The proceedings contain 301 papers. The topics discussed include: study on performance optimization and physical properties testing of a new type of high thermal conductive damping coating;study of a multi-fusion positioning system based on Beidou indoor inertial navigation;research on aging dielectric properties and physical testing of electric vehicle insulating silicone rubber under first principles;computer intelligent dynamic simulation and optimization for structural platform of water treatment subsystem on the spacecraft;computer intelligent evaluation model of Jining water quality by fuzzy mathematics and intelligent computing;research on dynamic knowledge map service system using computer big data;study andapplication of computer information big data in basketball vision system using high-definition camera motion data capture;research on fan operation evaluation and error state judgment relying on improved neural network and intelligent;and research on the application of artificial intelligence machinelearning technology in improving the accuracy of engineering image processing.
computer technology has been widely applied in the piano course teaching in universities. Compared with the traditional piano course teaching, the effect of computer technology is mainly used in MIDI music technology,...
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