Robust Markov decision processes: a place where AI and formal methods meet by Suilen, M, Badings, T, Bovy, EM, Parker, D, Jansen, N

“…Markov decision processes (MDPs) are a standard model for sequential decision-making problems and are widely used across many scientific areas, including formal methods and artificial intelligence (AI). …”

Comprehensive analysis of feature extraction methods for emotion recognition from multichannel EEG recordings by Yuvaraj, Rajamanickam, Thagavel, Prasanth, Thomas, John, Fogarty, Jack, Ali, Farhan

“…The FD-CART feature-classification method attained the best mean classification accuracy for valence (85.06%) and arousal (84.55%) across the five datasets. …”
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Fuzzy granular computing classifier with practicle swarm optimization learning method / by Saber Salehi, 1982-, author 599901, Ali Selamat, supervisor 389865, Fakulti Kejuruteraan. Sekolah Komputeran 619086

Fuzzy granular computing classifier with practicle swarm optimization learning method / by Saber Salehi, 1982-, author 599901

Graph-based deep learning method for human-object interaction recognition / by Zhang, Jiali, 1987-, author 655167, Zuriahati Mohd. Yunos, 1977-, supervisor 605156, Fakulti Komputeran 538688

Email spam classification based on deep learning methods: A review by Tusher, Ekramul Haque, Mohd Arfian, Ismail, Anis Farihan, Mat Raffei

“…A thorough literature evaluation is required to have a comprehensive overview of the current research on utilizing deep learning methods for email spam classification. This review aims to identify the various deep learning techniques used for email spam, their effectiveness, and areas for future research. …”
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Comparison of Machine Learning-Based Methods for Narrowband Blind Adaptive Beamforming by Shonkwiler, Lara

“…This thesis describes the performance of two machine learning-informed beamforming methods — Classification-Based Transfer Learning (CBTL) [1] and Denoising-Based Transfer Learning (DBTL). …”
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Deep learning methods to study structurally heterogeneous macromolecules in vitro and in situ by Powell, Barrett M.

“…This thesis describes the conceptualization, implementation, and application of tomoDRGN, a deep learning method developed to resolve structurally heterogeneous macromolecules in situ. …”
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Robust and efficient deep learning methods for vision-based action recognition by Xu, Yuecong

“…We observe that while VDA methods enable the learning of transferable features across domains, these methods generally assume that the video source and target domains share an identical label space. …”
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Process control of water treatment facilities using machine learning method by Tey, Shiyang

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Deep learning method for driver identification using vehicle sensor data by Chen, Youzhen

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A unified fisher’s ratio learning method for spatial filter optimization by Li, Xinyang, Guan, Cuntai, Zhang, Haihong, Ang, Kai Keng

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Comparative study of modeling, drying kinetics and specific energy consumption of desiccated coconut during convective and infrared drying by S., Yahya, A., Mohd Shamsul, A.G., Nur Hamizah, M.N., Mohd Zuhair

“…White coconut shreds were dried in this study utilizing convective (CD) and infrared (IR) drying methods to produce desiccated coconuts. …”
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Comparative study of modelling, drying kinetics and specific energy consumption of desiccated coconut during convective and infrared drying by Sahari, Yahya, Anuar, Mohd Shamsul, Abdul Ghani, Nur Hamizah, Mohd Nor, Mohd Zuhair

“…White coconut shreds were dried in this study utilizing convective (CD) and infrared (IR) drying methods to produce desiccated coconuts. …”
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Using machine learning to generate novel hypotheses: increasing optimism about COVID-19 makes people less willing to justify unethical behaviors by Sheetal, Abhishek, Feng, Zhiyu, Savani, Krishna

“…The findings suggest that optimism can help reduce unethicality, and they document the utility of machine-learning methods for generating novel hypotheses.…”
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LKAW: a robust watermarking method based on large kernel convolution and adaptive weight assignment by Zhang, Xiaorui, Jiang, Rui, Sun, Wei, Song, Aiguo, Wei, Xindong, Meng, Ruohan

“…Most existing methods use 3 × 3 small kernel convolution to extract image features and embed the watermarking. …”
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Public opinion trend analysis on nuclear energy via aspect-based sentiment analysis methods by Huang, Fan

“…With the help of the fine-grained Aspect-Based Sentiment Analysis (ABSA) method using Deep Learning models, the public opinions towards specific aspects within massive data could be understood and predicted more accurately. …”
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Sustainable oil palm resource assessment based on an enhanced deep learning method by Liu, Xinni, Kamarul Hawari, Ghazali, Shah, Akeel A.

“…The enhanced FRCNN (EFRCNN) leads to improved performance for detecting objects (in the same image) when they are of multiple sizes by using a feature concatenation method. Transfer learning based on a ResNet50 model is used to extract the features of the input image. …”
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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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Predicting the work function of 2D MXenes using machine-learning methods by Roy, Pranav, Rekhi, Lavie, Koh, See Wee, Li, Hong, Choksi, Tej S.

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