Support Vector Machine Weather Prediction Technology Based on the Improved Quantum Optimization Algorithm.
TL;DR: In this article, a multimodal emotion recognition model based on many-objective optimization algorithm is proposed for the first time, which integrates voice information and facial information and can simultaneously optimize the accuracy and uniformity of recognition.
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Abstract: Emotion recognition is a research hotspot in the field of artificial intelligence. If the human-computer interaction system can sense human emotion and express emotion, it will make the interaction between the robot and human more natural. In this paper, a multimodal emotion recognition model based on many-objective optimization algorithm is proposed for the first time. The model integrates voice information and facial information and can simultaneously optimize the accuracy and uniformity of recognition. This paper compares the emotion recognition algorithm based on many-objective algorithm optimization with the single-modal emotion recognition model proposed in this paper and the ISMS_ALA model proposed by recent related research. The experimental results show that compared with the single-mode emotion recognition, the proposed model has a great improvement in each evaluation index. At the same time, the accuracy of emotion recognition is 2.88% higher than that of the ISMS_ALA model. The experimental results show that the many-objective optimization algorithm can effectively improve the performance of the multimodal emotion recognition model.
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Citations
Classification of mild cognitive impairment based on handwriting dynamics and qEEG
TL;DR: In this paper , an automated, non-invasive and rapid detection protocol for mild cognitive impairment based on handwriting kinetics and quantitative EEG analysis was proposed, and a classification model based on a dual fusion of feature and decision layers was designed for clinical decision-marking.
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Current status and trends of technology, methods, and applications of Human–Computer Intelligent Interaction (HCII): A bibliometric research
Zhongqiang Ding,Yong Ji,Yan Gan,Yuwen Wang,Yukun Xia +4 more
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Forecasting of Statistical Crisp Weather in India by Exploration of Different Machine Learning Techniques
Premananda Sahu,Srikanta Kumar Mohapatra +1 more
- 28 Apr 2022
TL;DR: An automatic model for crisp weather forecasting which may be considerate to the people, so that they can take precautions earlier and produce better classification accuracy than 7 days' prediction.
8
Rainfall Forecasting using Support Vector Regression Machines
Lemuel Clark P. Velasco,Johanne Miguel Aca-ac,Jeb Joseph Cajes,Nove Joshua Lactuan,Suwannit Chareen Chit +4 more
TL;DR: In this paper , support vector regression machine (SVRM) was utilized in predicting the rainfall of a city in a tropical country using a 4-year and 17-month rainfall dataset captured from an automated rain gauge (ARG) in Southern Philippines, involving parameter cost and gamma identification to determine the relationship between past and present values.
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Corrigendum to “Support Vector Machine Weather Prediction Technology Based on the Improved Quantum Optimization Algorithm”
Jinlei Zhang,Xue Qiu,Xiang Li,Min-Jung Wu,Yumin Dong +4 more
TL;DR: It is proved that IQGA-SVM is a reliable modeling technique for forecasting rainfall and can be applied to other algorithms that need parameter adjustment to achieve the optimal model prediction effect.
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