Jaya algorithm hybridized with extreme gradient boosting to predict the corrosion-induced mass loss of agro-waste based monolithic and Ni-reinforced porous alumina by Dele-Afolabi, T.T., Jung, D.W., Ahmadipour, Masoud, Azmah Hanim, M.A., Adeleke, A.O., Kandasamy, M., Gunnasegaran, Prem

“…The precision that can be obtained by modifying hyper-parameters with the Jaya method, combined with the well-known accuracy of XGBoost, renders the proposed model novel.…”
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Implications of contextual ambidexterity and digital platform capability on SME performance: the role of absorptive capacity as a moderator by Ramdan, Mohamad Rohieszan, Abdullah, Nor Liza, Abd. Aziz, Nurul Ashykin, Mohd. Fuzi, Nursyazwani, Ong, Sharon Yong Yee, Ab. Wahab, Nur Yuhainis

“…Using a quantitative method, 157 responses from Malaysian SME managers were analysed using PROCESS Macro. …”
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Texture classification with minimal training images by Targhi, AT, Geusebroek, J-M, Zisserman, A

“…The current and successful approach to this task is to treat it as a statistical learning problem and learn a classifier from a set of training images, but this requires a sufficient number and variety of training images. …”

Fairness analysis in algorithm design by Guo, Yuewen

“…One of the most comprehensive algorithms, Opti- mised Pre-processing method has been examined with experiments, and 5 most commonly used machine learning classification models have been built to validate the algorithm’s bias mitigation performance.…”
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Optogenetics-Mediated Targeted Recording from Adult-Born Granule Cells in the Dentate Gyrus of Behaving Mice by Yang, Ming

“…The aim of the study is to develop a new recording method to overcome the difficulty in determining cellular identity of neurons generating recorded activity in traditional electrophysiological extracellular recording which will help to investigate the properties of adult-born granule cell which is thought to be related to memory formation and learning. [1st Award]…”
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Graph homophily unsupervised measurements by Nguyen, Hoang Minh

“…As a result, we present several unsupervised approaches for measuring homophily that do not require labels. Our proposed methods include: (1) calculating raw feature similarity across all nodes and selecting edges based on a threshold, calculating similarity of learned representations across all nodes and selecting edges based on a threshold, where the representations are learned using (2) Graph Auto-encoder and (3) Graph Attention Model without using labels, and (4) using unsupervised graph clustering and evaluating graph homophily based on the clustering results. …”
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Robot programming using augmented reality by Chong, Jonathan Wun Shiung

“…These data points are processed using a number of algorithms to produce an output curve that best represents the demonstrated curve, i.e., learning the human intention. The Piecewise Linear Parameterization (PLP) algorithm and a curve learning method based on Bayesian neural networks and reparameterization are proposed. …”
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Neural and psychological correlates of stuttering by Demirel, B

“…</p> <br> <p>In the second part of my thesis, we evaluated the effectiveness of theta-gamma peak transcranial alternating current stimulation to enhance sensorimotor learning of speech in typically fluent speakers. While this protocol did not significantly impact speech adaptation in the learning phase, exploratory analysis suggested potential benefits in retaining the learned state during the after-effect phase. …”

21A.01 How Culture Works, Fall 2012 by Buyandelger, Manduhai

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Synaptic plasticity in VLSI : a floating-gate approach by Gopalakrishnan, Roshan

“…It is generally believed that the ability to learn and execute difficult tasks in human brain is mediated by synapses. …”
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Data Analytics for Cybersecurity / by Janeja, Vandana P., 1976-, author 655477, Cambridge University Press (Online service) 655240

“…We need to use multiple types of tools and techniques to learn and understand the evolving threat landscape. …”
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Non-local sparse models for image restoration by Mairal, J, Bach, F, Ponce, J, Sapiro, G, Zisserman, A

“…This is achieved by jointly decomposing groups of similar signals on subsets of the learned dictionary. Experimental results in image denoising and demosaicking tasks with synthetic and real noise show that the proposed method outperforms the state of the art, making it possible to effectively restore raw images from digital cameras at a reasonable speed and memory cost.…”

Generating Molecular Fragmentation Graphs with Autoregressive Neural Networks by Goldman, Samuel, Li, Janet, Coley, Connor W

“…We introduce a physically grounded neural approach that learns to predict each breakage event and score the most relevant subset of molecular fragments quickly and accurately. …”
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Unsupervised land-use change detection using multi-temporal POI embedding by Yao, Yao, Zhu, Qia, Guo, Zijin, Huang, Weiming, Zhang, Yatao, Yan, Xiaoqin, Dong, Anning, Jiang, Zhangwei, Liu, Hong, Guan, Qingfeng

“…In this paper, we investigate LUCD through learning embeddings of points of interest (POIs) from multiple temporalities. …”
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Positive innovative thinking based on the integration of spiritual knowledge through the subjects of design and technology by Zaipah, Ismail, Aede Hatib, Musta’amal @ Jamal, Nornazira, Suhairom, Rohana, Hamzah

“…This study shows the teaching and learning process by combining spiritual elements in the subjects of Design and Technology. …”
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Maternal Death Surveillance and Response in Sudan: an evidence-based, context-specific optimisation to improve maternal care by Altijani Osman Abbakar, N

“…</p> <p><b>Conclusion:</b> Four interlinked recommendations are made to improve MDSR and to include midwives: [1] to invest in the development of an autonomous midwifery profession; [2] to promote early inter-professional learning and collaborative practice between maternal health providers; [3] to strengthen midwifery and other MDSR inputs, and [4] to review maternal health care provided by all practitioners in cases of deaths using provider-based reviews.…”

A visual category filter for Google Images by Fergus, R, Perona, P, Zisserman, A

“…</p> <p>We demonstrate the method on image sets returned by Google’s image search for a number of object categories including bottles, camels, cars, horses, tigers and zebras.…”

Automated person identification in video by Everingham, M, Zisserman, A

“…This is an extremely challenging problem due to the many sources of variation in a person’s imaged appearance: pose variation, scale, illumination, expression, partial occlusion, motion blur, etc. <br> The method we have developed combines approaches from computer vision, for detection and pose estimation, with those from machine learning for classification. …”

3D electron microscopy for analyzing nanoparticles in the tumor endothelium by Mladjenovic, Stefan M., Chandok, Ishaan S., Darbandi, Ali, Nguyen, Luan N. M., Stordy, Benjamin, Zhen, Mei, Chan, Warren C. W.

“…The 3DEM-NPD method allowed us to establish a metric to quantify nanoparticle transport at the single nanoparticle level and to quantify the morphological features of ~2,800 vesicles. …”
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Raindrop removal from single image by Song, Rongzihan

“…Since the raindrop is considered cannot be removed in just one stage, a four stages deraining method is used here. For faster processing of images for surveillance, an Extreme Learning Machining(ELM) method is also used. …”
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