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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Gravitation and quadratic forms by Ananth, Sudarshan, Brink, Lars, Majumdar, Sucheta, Mali, Mahendra, Shah, Nabha

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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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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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Nanoscale disequilibrium in waste form apatites by White, Timothy John, Dong, Zhili, Kim, J. Y.

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Attitudinal Factors of Fishermen Trapped in the B40 Category: an Empirical Study by Mustafar, Mastora, Mat Yamin, Fadhilah, Mohamed Ismail, Risyawati, Mohd Nawi, Nur Syazwani, Abu Bakar, Siti Zakiah, Johari, Ayub

“…However, its importance is not in line with the well-being of key players in the fishing industry itself, especially Zone A fishermen who are mostly in the Bottom 40% (B40) of household income category. Although the government has emphasised this issue by providing various programmes and funds that are suitable for fishing activities by Zone A fishermen, there are still some Zone A fishermen who are at the poverty level. …”
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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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Body writing : the somatization of truth on the human corporeal form by Tan, Poh Hoon

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Investigation of far infrared emission and UV protection properties of polypropylene composites embedded with candlenut-derived biochar for health textiles by Low, Rayland Jun Yan, He, Pengfei, Junianto, Qiu, Ningyu, Ong, Amanda Jiamin, Choo, Hong Han, Manik, Yosia Gopas Oetama, Siburian, Rikson, Goei, Ronn, Burns, Stephen F., Tok, Alfred Iing Yoong, Lipik, Vitali, Chang, Boon Peng

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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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Form-From: A Design Space of Social Media Systems by Zhang, Amy X., Bernstein, Michael S., Karger, David R., Ackerman, Mark S.

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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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