Unsupervised bayesian generative methods by Li, Shaohua

“…Probabilistic generative models are recent development in unsupervised learning. The generative modeling framework can model rich structures and learn diverse types of relations within the data, which are usually difficult to do using traditional methods. …”
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Signature methods in machine learning by Lyons, T, McLeod, AD

Signature methods in machine learning by Lyons, T, McLeod, A

A novel tuning method for implementing dynamic matrix control on a water tank system by Sudarshan, Srinivasa Ramanujam.

“…Lower the value of ’k’, system performance increases and becomes faster. The novel NlStar tuning technique was found to provide the same level of performance as the Shridhar-Cooper tuning method with greater ease to tune manually.…”
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Stock market price forecasting with machine learning methods by Zhu, Huilin

“…My research mainly introduces the development of time series forecasting, and also gives a review of existing algorithms. In this dissertation, I mainly focus on four forecasting methods namely ANN, SVM, RVFL and RF, along with the experiments we have set up for evaluation. …”
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An Effective Med-VQA Method Using a Transformer with Weights Fusion of Multiple Fine-Tuned Models by Al-Hadhrami, Suheer, Menai, Mohamed El Bachir, Al-Ahmadi, Saad, Alnafessah, Ahmad

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USN: a robust imitation learning method against diverse action noise by Yu, Xingrui, Han, Bo, Tsang, Ivor Wai-Hung

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A comparison of the existing methods of studying the stability of earth slopes by La Casta-Sanchez, Salvador.

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Recent Progress of Deep Learning Methods for Health Monitoring of Lithium-Ion Batteries by Madani, Seyed Saeed, Ziebert, Carlos, Vahdatkhah, Parisa, Sadrnezhaad, Sayed Khatiboleslam

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Accumulated decoupled learning with gradient staleness mitigation for convolutional neural networks by Zhuang, Huiping, Weng, Zhenyu, Luo, Fulin, Toh, Kar-Ann, Li, Haizhou, Lin, Zhiping

“…Existing methods that ignore this effect might result in reduced generalization and even divergence. …”
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A joint learning method with consistency-aware for low-resolution facial expression recognition by Xie, Yuanlun, Tian, Wenhong, Song, Liang, Xue, Ruini, Zha, Zhiyuan, Wen, Bihan

“…Existing facial expression recognition (FER) methods are mainly devoted to learning discriminative features from high-resolution images. …”
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Multimodal fusion for navigation of autonomous mobile robots using a deep learning method by Lee, Anthony Wen Hao

“…However, most existing, or newly collision-avoidance methods developed for holonomic robots are not always effective in ensuring the smooth operations of differential-drive robots. …”
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Academic achievement inspired machine learning methods for student grade prediction and at-risk detection by Wei, Qiu

“…Results obtained highlighted that the A2GP model improves the performance of LSTM and graph convolutional network (GCN) by 19.0\% and 63.3\%, respectively, in terms of F1 score for at-risk classification. Existing grade prediction methods do not take into account the constraints imposed on grade vectors. …”
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AI-powered COVID-19 forecasting: a comprehensive comparison of advanced deep learning methods by Tariq, Muhammad Usman, Ismail, Shuhaida

“…Methods: This study utilized a comprehensive dataset encompassing confirmed COVID-19 cases, demographic statistics, and socioeconomic indicators. …”
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AI-powered COVID-19 forecasting: a comprehensive comparison of advanced deep learning methods by Tariq, Muhammad Usman, Ismail, Shuhaida

“…Methods: This study utilized a comprehensive dataset encompassing confirmed COVID-19 cases, demographic statistics, and socioeconomic indicators. …”
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Effects of cultural diversity on learning styles and performance development methods : a study of business professionals in Singapore. by Nur Syahirah Basheer., Nurashikin Asan., Poh, Ai Ni.

“…The main objectives of this research are to identify the nature of effects existing: (a) among sub-cultural groups and managers’ learning styles; (b) among sub-cultural groups and their performance development methods; (c) in the nature of the relationship between learning styles and performance development methods. …”
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Modification of existing genetic algorithm optimization image restoration method through convolutional neural networks by Tan, Jun Meng

“…Specifically, through the use of genetic algorithm optimization, images are able to be restored with structure-priority. In the existing method, structural information is extracted using canny edge detection. …”
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Refining malware analysis with enhanced machine learning algorithms using hyperparameter tuning by El Mouhtadi, Walid, El Bakkali, Mohamed, Maleh, Yassine, Mounir, Soufyane, Ouazzane, Karim

“…The study addresses these limitations using ensemble methods and pre-processing techniques, including feature selection and hyperparameter tuning. …”
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A study on open set recognition methods by Sun, Xin

“…To have a shorter running time, we proposed an OSR method, called Discriminative Loss. We combine the proposed loss function with the Softmax loss function, which is used in most Convolutional Neural Networks (CNNs), to force learned features in different classes to be close to different centroids for Gaussian modeling. …”
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Multifidelity Methods for Design of Transition MetalComplexes by Janet, Jon Paul

“…This metric is shown to offer superior performance over existing methods. The application of these methods to virtual design problems is demonstrated with two case studies: 1) identifying spin crossover complexes from a design space of thousands using an evolutionary strategy and 2) probabilistic, multiobjective optimization of redox couples over a 3 million-complex space. …”
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