Explainable machine learning and deep learning by Liao, Zhongtian

“…This project aims to solve this problem by focusing on methods for making machine learning models and decisions made interpretable to humans. …”
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Machine Learning Method for Forecasting Weather Needed For Crop Water Demand Estimations in Low-Resource Settings Using A Case Study in Morocco by Sheline, Carolyn, Winter, Amos

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An investigation into real-time surface crack classification and measurement for structural health monitoring using transfer learning convolutional neural networks and Otsu method by Mazleenda Mazni, Mazleenda Mazni, Husain, Abdul Rashid, Shapiai, Mohd. Ibrahim, Ibrahim, Izni Syahrizal, Devi Willieam Anggara, Devi Willieam Anggara, Zulkifli, Riyadh

“…Incorporating the Otsu method for image segmentation, our system accurately assesses individual crack sizes. …”
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Broad learning vs. deep learning by Gu, Haowei

“…In this project, the result of comparisons between Broad Learning model and Deep Learning model with Fashion MNIST and noisy MNIST dataset which illustrates the effect of Broad Learning model and whether it would be an alternative method for Deep Learning. …”
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Extreme learning machines for feature learning by Liyanaarachchi Lekamalage, Chamara Kasun

“…The proposed ELM Facial Point Detection (ELM-FPD) consist of the three algorithms: 1) automatic face recognition algorithm such as Viola Jones algorithm locates the face in the image; 2) LRF-ELMAE estimates the facial points on the located faces using mean face shape; 3) Extreme Learning Machine Supervised Descent Method (ELM-SDM) improves the estimated facial points using low dimensional response maps. …”
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Development of vision-based terrain recognition method for lower limb exoskeleton for outdoor environments by Gupta, Paluk

“…The heart of the system is a deep learning model, specifically Convolutional Neural Network (CNN). …”
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Mine yOur owN Anatomy: revisiting medical image segmentation with extremely limited labels by You, C, Dai, W, Liu, F, Min, Y, Dvornek, NC, Li, X, Clifton, DA, Staib, L, Duncan, JS

“…Existing methods mainly focus on instance discrimination and invariant mapping (i.e., pulling positive samples closer and negative samples apart in the feature space). …”

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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Efficient approach of high average utility pattern mining with indexed list-based structure in dynamic environments by Kim, Hyeonmo, Kim, Hanju, Cho, Myungha, Vo, Bay, Jerry, Chun-Wei Lin, Fujita, Hamido, Yun, Unil

“…It also incorporates efficient realigning and mining techniques for handling incremental data and accurately mining results. …”

Stakeholder views on the uptake of sustainable and responsible nickel mining and processing supply chains for electric vehicles in Indonesia by Malik, Rameen Hayat

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Optimization of a Luteolin-loaded Tpgs/poloxamer 407 nanomicelle: the effects of copolymers, hydration temperature and duration, and freezing temperature on encapsulation efficienc... by Mod Razif, Muhammad Redza Fahmi, Chan, Siok Yee, Widodo, Riyanto Teguh, Chew, Yik-Ling, Hassan, Masriana, Ahmad Hisham, Shairyzah, Abdul Rahman, Shamima, Ming, Long Chiau, Tan, Ching Siang, Lee, Siew-Keah, Liew, Kai Bin

“…This study aimed to develop and optimize vitamin E TPGS/Poloxamer 407 micelles loaded with luteolin through investigating certain factors that can affect the encapsulation efficiency and particle size of the micelle. Methods: A micelle was prepared using the film hydration method, and the micellar solution was lyophilized. …”
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Analysis of online learning algorithms in machine learning by Wang, Z

“…Further, we develop a new continuous-time stochastic gradient descent method for optimizing over the stationary distribution of SDE models. …”

Eccentric compression performance of jointed precast concrete-encased concrete-filled steel tube columns with dry connections by Zhu, Gaoming, Tan, Kang Hai

“…To address this concern, a performance-based design method was proposed for jointed CECFST columns. Parametric studies showed that adopting the performance-based design method could not only improve constructability but also achieve sufficient column resistance.…”
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Deep Reinforcement Learning in complex environments by Nardelli, N

“…The presence of multiple agents breaks some of the key assumptions that provide necessary stability to standard learning methods, creating unique and interesting problems. …”

A unified framework of active transfer learning for cross-system recommendation by Zhao, Lili, Pan, Sinno Jialin, Yang, Qiang

“…In this paper, we propose a new transfer learning framework for recommender systems, which relaxes the above assumption to facilitate flexible knowledge transfer across different systems with low cost by using an active learning principle to construct entity correspondences across systems. …”
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Novel approaches for imaging-based diagnosis of ocular surface disease by Schmidl, Doreen, Schlatter, Andreas, Chua, Jacqueline, Tan, Bingyao, Garhöfer, Gerhard, Schmetterer, Leopold

“…Ocular surface disease is often synonymous with dry eye disease, but also refers to other conditions of the ocular surface, such as Meibomian gland dysfunction or keratitis and conjunctivitis with different underlying causes, i.e., allergies or infections. …”
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MCMC inversion of the transient and steady-state creep flow law parameters of dunite under dry and wet conditions by Masuti, Sagar, Barbot, Sylvain

“…We determine the flow law parameters for dunites using a Markov chain Monte Carlo method. We find the activation energy 430 ± 20 and 250 ± 10 kJ/mol for dry and wet conditions, respectively, and the stress exponent 2.0 ± 0.1 for both the dry and wet cases for transient creep, consistently lower than those of steady-state creep, suggesting a separate physical mechanism. …”
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Sustainable copper extraction from printed circuit boards through urban mining: Evaluating environmental impact assessment by Nur Layli, Wirman, Kousalya, Subramaniam, Punitha Malar, Ravi, Fatin Zafirah, Mansur, Noor Intan Shafinas, Muhammad

“…This study focuses on extracting copper from Printed Circuit Boards (PCBs) using an urban mining approach, with a specific emphasis on assessing its environmental impact through the Life Cycle Assessment (LCA) method. …”
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Student teachers learning to use Assessment for Learning in schools by Tan Chia Chun, D

“…<p>Assessment for Learning (AfL) has been seen as a key aspect of teaching and learning for almost two decades, since the seminal review by Black and Wiliam (1998a). …”

Online learning by Kashish Minocha.

“…This is potentially due to a lack of interest in programming arising out of conventional methods of instruction. Since programming in C lays the foundation for a variety of advanced engineering study, efforts are necessary to kindle and sustain interests of the students while learning this module. …”
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