Information scheduling method of big data platform based on ant colony algorithm
This paper proposes an information security scheduling method for big data platforms based on ant colony algorithm. First, collect big data platform information and conduct noise reduction and compression processing on the information. Then, determine ...
A social network user behaviour data recommendation system based on fuzzy partition clustering
To address the problems of low recommendation accuracy and recall in existing recommendation methods, this paper proposes a social network user behaviour data recommendation system based on fuzzy partition clustering. Firstly, design the hardware of a ...
Deep fusion method of IoT monitoring data based on extended Kalman filter
To overcome the problems of low fusion accuracy and high data loss rate in traditional IoT monitoring data fusion methods, the paper proposes a deep fusion method for IoT monitoring data based on extended Kalman filtering. Firstly, obtain monitoring data ...
Network data privacy security aggregation method based on big data pattern decomposition
In order to improve the hiding rate of network data privacy information and shorten the encryption and decryption time, the paper proposes a new network data privacy security aggregation method based on big data pattern decomposition. Firstly, the ...
Classification method of English micro-course resources on MOOC platform based on improved decision tree algorithm
To solve the problem of inaccurate classification results of current educational resource classification methods, a MOOC micro-class resource classification method based on improved decision tree algorithm is proposed. Firstly, adaptive reconstruction ...
Hybrid recommendation of English online learning materials based on self-supervised learning
To overcome the low recall rate, precision and satisfaction of traditional recommendation methods, a hybrid recommendation method of English online learning materials based on self-supervised learning is proposed. Firstly, English learning knowledge ...
Online learning data mining method based on improved fuzzy clustering
Aiming at the problems of low data mining precision, large feature classification error and slow mining speed in online learning data mining methods, a fast online learning data mining method based on improved fuzzy clustering is designed. First, analyse ...
Assisted decision making for conditional maintenance of distribution network equipment based on multi-task deep learning
In order to solve the problems of low accuracy, long time and high cost in traditional decision-making methods, an assisted decision-making method for conditional maintenance of distribution network equipment based on multi-task deep learning is ...
Research on personalised recommendation method for English online course resources based on hybrid differential evolution algorithm
In order to improve personalised satisfaction and recommendation accuracy of English resources, and effectively reduce recommendation time, this article proposes a personalised recommendation method for English online course resources based on hybrid ...
Fast recommendation of literature materials in smart libraries based on improved collaborative filtering algorithm
To overcome the issues of low accuracy and recall rate, as well as long response time in traditional recommendation methods, a fast recommendation method of literature materials in smart libraries based on improved collaborative filtering algorithm is ...
Study on online English learning resource push based on Bayesian inference
The current online English learning resource push methods have problems of poor customer satisfaction, low reliability of pushed resources and low recall rate of resource pushes. Therefore, this paper proposes an online English learning resource push ...
Adaptive recommendation method for network resources based on improved transfer learning
To overcome the issues of high Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) values, as well as long recommendation times in traditional recommendation methods, an adaptive recommendation method for network resources based on improved ...
Study on travel route recommendation method based on improved ant colony optimisation algorithms
The research goal is to improve the comprehensive attractiveness index of recommended routes, improve user satisfaction and reduce road congestion time. In this paper, a travel route recommendation method based on improved ant colony optimisation ...
An adaptive recommendation method for music resources based on LDA-MURE model
To improve the coverage of recommendation results and reduce the MEA value, the paper proposes an adaptive recommendation method for music resources based on LDA-MURE model. Firstly, remove and reduce the dimensionality of music resource data, and then ...
Rainfall rate prediction using recurrent neural network with long short-term memory algorithm: Iraq case study
Rainfall is one of the primary sources of water for many countries in the world. Recently, the problem of variant rainfall rates has emerged in most countries, especially in the Middle East, due to the phenomenon of global warming. Consequently, this ...
Transforming recommender system by integrating attention-based neural network for multimodal sentiment analysis using artificial intelligence
Sentiment analysis represents an emerging field of study in both natural language processing and computational intelligence. Recommender systems play a pivotal role in enhancing user experiences across various platforms by suggesting personalised content ...