Sustainable energy management: Artificial intelligence-based electricity consumption prediction in limited dataset environment for industry applications by Chuan, Zun Liang, Tan, Lit Ken, Wee, Angel Chi Chyin, Yim Hin, Tham, Shao, Jie Ong, Jia, Yi Low, Chong, Yeh Sai

“…This study aimed to develop a modified stacked ensemble multivariable Artificial Intelligence (AI)-based predictive algorithm, specifically Stacked Simple Linear Regression and Multiple Linear Regression (SLR-MLR), and Stacked Simple Linear Regression and Multiple Non-Linear Regression (SLR-MNLR) utilizing the Cross Industry Standard Process for Data Mining (CRISP-DM) data science methodology. The proposed AI-based predictive algorithm aimed to provide predictive insights and interpret the impact of significant economic, environmental, and social clustered determinants on electricity consumption in Malaysia. …”
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Urban region representation learning with human trajectories: a multi-view approach incorporating transition, spatial, and temporal perspectives by Zhang, Yu, Huang, Weiming, Yao, Yao, Gao, Song, Cui, Lizhen, Yan, Zhongmin

“…Mining latent information from human trajectories for understanding our cities has been persistent endeavors in urban studies and spatial information science. …”
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Implementation of optimization-based power management for all-electric hybrid vessels by Tjahjowidodo, Tegoeh, Seet, Gerald Gim Lee, Chan, Ricky, Chua, Liza Wan Yuan

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Quantitative analysis of choriocapillaris in non-human primates using swept-source optical coherence tomography angiography (SS-OCTA) by Tan, Bingyao, Chua, Jacqueline, Barathi, Veluchamy Amutha, Baskaran, Mani, Chan, Anita, Lin, Emily, Ang, Marcus, Klose, Gerd, Schmetterer, Leopold

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A new hybrid algorithm for retinal vessels segmentation on fundus images by Dharmawan, Dhimas Arief, Li, Di, Ng, Boon Poh, Rahardja, Susanto

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Knapsack-based reverse influence maximization for target marketing in social networks by Talukder, Ashis, Tran, Nguyen H., Niyato, Dusit, Hong, Choong Seon, Mohammad Golam Rabiul Alam

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Accuracy of peak-power compensation in fiber-guided and free-space acoustic-resolution photoacoustic microscopy by Asadollahi, Amir, Latifi, Hamid, Zeynali, Shahriar, Pramanik, Manojit, Qazvini, Hamed

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Revealing the biotoxicity of phosphorene oxide nanosheets based on the villin headpiece by Zhang, Wei, Gou, Yuanyuan, Cheng, Li, Dong, Kaiwei, Sheng, Yijie, Ye, Chao, Yang, Xianqing, Mu, Yuguang

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Fault-tolerant computation meets network coding: optimal scheduling in parallel computing by Li, Congduan, Zhang, Yiqian, Tan, Chee Wei

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Neural radiance selector: find the best 2D representations of 3D data for CLIP based 3D tasks by Yang, Xiaofeng, Liu, Fayao, Lin, Guosheng

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Digital skilling of working adults: a systematic review by Mendoza-Chan, Joji, Pee, Loo Geok

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Low-velocity impact response of sandwich structures with cores made from entangled metallic wire material - silicone rubber composites by Zheng, Xiaoyuan, Xiao, Zhongmin, Ren, Zhiying, Zi, Bao, Bai, Hongbai, Wu, Yiwan, Yao, Liming

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Growth instability of N-polar GaN on vicinal SiC substrate using plasma-assisted molecular beam epitaxy by Huo, Lili, Lingaparthi, R., Dharmarasu, Nethaji, Radhakrishnan, K.

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Hadoop on data analytics by Gee, Denny Jee King.

“…It could be computational infeasible to perform information mining from a massive amount of data. Hence, we took an approach in adopting the MapReduce Framework provided by Apache Hadoop. …”
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Possibility study of in-situ aeration on lorong halus dumping site by Teng, Esther Yuan Yi.

“…Therefore, the writer recommends to use landfill mining technology or advanced oxidation to deal with the waste at LHDG. …”
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Outlier detection by Li, Shukai

“…Because of its diverse usage, outlier detection has emerged as a vibrant research topic in the fields of data mining, machine learning and statistics. In this thesis, we investigate four different kinds of outlier detection problems. …”
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2D Monte Carlo simulation of a silicon waveguide-based single-photon avalanche diode for visible wavelengths by Yanikgonul, Salih, Leong, Victor, Ong, Jun Rong, Png, Ching Eng, Krivitsky, Leonid

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ACA-SDS : adaptive crypto acceleration for secure data storage in big data by Xiao, Chunhua, Zhang, Lei, Liu, Weichen, Bergmann, Neil, Li, Pengda

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Hadamard transform-based calibration method for programmable optical filters based on digital micro-mirror device by Kang, Jian, Li, Xiang, Liu, Quan

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Fracturing Processes in Specimens with Internal vs. Throughgoing Flaws: An Experimental Study Using 3D Printed Materials by Almubarak, Majed, Germaine, John T., Einstein, Herbert H.

“…The fracturing behavior and associated mechanical characterization of rocks are important for many applications in the fields of civil, mining, geothermal, and petroleum engineering. Laboratory testing of rocks plays a major role in understanding the underlying processes that occur on the larger scale and for predicting rock behavior. …”
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