Application of soft skills among prospective TVET teachers to face the industrial revolution 4.0 by Mohd. Fadel, Nur Syazhirah, Mohd. Ishar, Mohamad Izzuan, Jabor, Mohd. Khata, Mohd. Ahyan, Nurul Aini, Janius, Naldo

“…Overall, it was found that the level of readiness and acceptance of students towards IR 4.0 is still at a moderate level and there is a significant relationship between the level of students' knowledge of soft skills with the readiness of prospective TVET teachers to face the challenges of the Industrial Revolution 4.0.…”
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Fairness testing of machine translation systems by Sun,Zeyu, Chen, Zhenpeng, Zhang, Jie, Hao, Dan

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FaceFolds: Meshed Radiance Manifolds for Efficient Volumetric Rendering of Dynamic Faces by Medin, Safa C., Li, Gengyan, Du, Ruofei, Garbin, Stephan, Davidson, Philip, Wornell, Gregory W., Beeler, Thabo, Meka, Abhimitra

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Towards energy-fairness in asynchronous duty-cycling sensor networks by Li, Zhenjiang., Mo, Li., Liu, Yunhao.

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Fairness-Enhancing Deep Learning for Ride-Hailing Demand Prediction by Zheng, Yunhan, Wang, Qingyi, Zhuang, Dingyi, Wang, Shenhao, Zhao, Jinhua

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Rail transit OD matrix estimation and journey time reliability metrics using automated fare data by Chan, Joanne, S.M. Massachusetts Institute of Technology

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Gemini: An Adaptive Performance-Fairness Scheduler for Data-Intensive Cluster Computing by Niu, Zhaojie, Tang, Shanjiang, He, Bingsheng

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Three Paradoxes to Reconcile to Promote Safe, Fair, and Trustworthy AI in Education by Slama, Rachel, Toutziaridi, Amalia Christina, Reich, Justin

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Optimizing fairness and accuracy: a Pareto optimal approach for decision-making by Nagpal, Rashmi, Shahsavarifar, Rasoul, Goyal, Vaibhav, Gupta, Amar

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Can Mobility of Care be Identified from Transit Fare Card Data? A Case Study in Washington D.C. by Shuman, Daniela, Abdelhalim, Awad, Stewart, Anson F, Campbell, Kayleigh B, Patel, Mira, Sanchez de Madariaga, Ines, Zhao, Jinhua

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Operations and Supply Management 4.0 : Industry Insights, Case Studies and Best Practices / by Helmold, Marc, author 645775, Terry, Brian, author 206444

“…Fierce competition, globalisation and the permanent liberalisation of markets have changed the face of supply chains and operations drastically. …”

A Multi-Objective Framework for Balancing Fairness and Accuracy in Debiasing Machine Learning Models by Nagpal, Rashmi, Khan, Ariba, Borkar, Mihir, Gupta, Amar

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Design of machine learning based face recognition system by Yeo, Alvin Jin Kuang

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Propositions on the Relationships between Technology Complexity, Industry 4.0, and Halal Sustainability by Ahmad Zaidi, Mohamad Faizal

“…Even though many factors may have collectively contributed towards better understanding of Halal sustainability, this article focuses only on the technological aspects of Halal in the face of IR4.0. With this focus, four components of technology comprising of technoware, humanware, infoware, and orgaware are discussed. …”
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The contribution of color information to rapid face categorization in natural scenes by Or, Charles C.-F., Retter, Talia L., Rossion, Bruno

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Increasing Dengue Incidence in Singapore over the Past 40 Years: Population Growth, Climate and Mobility by Struchiner, Claudio Jose, Rocklöv, Joacim, Wilder-Smith, Annelies, Massad, Eduardo

“…In Singapore, the frequency and magnitude of dengue epidemics have increased significantly over the past 40 years. It is important to understand the main drivers for the rapid increase in dengue incidence. …”
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Predicting Team Well-Being through Face Video Analysis with AI by Müller, Moritz, Dupuis, Ambre, Zeulner, Tobias, Vazquez, Ignacio, Hagerer, Johann, Gloor, Peter A.

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Principled asymmetric boosting approaches to rapid training and classification in face detection by Pham, Minh Tri

“…This thesis solves a number of issues related to asymmetric boosting and the use of asymmetric boosting in face detection. It shows how a proper understanding and use of asymmetric boosting leads to improvement in the learning time, the learning capacity, the detection speed and the detection accuracy of a face detector. …”
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J-Park simulator : an ontology-based platform for cross-domain scenarios in process industry by Eibeck, Andreas, Lim, Mei Qi, Kraft, Markus

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Maneuvering the property hot air balloon in Singapore by Wee, Karol Heok Hiang

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