Latest Trends in Renewable Energy Technologies : Select Proceedings of NCRESE 2020 / by National Conference on Renewable Energy and Sustainable Environment (2020 : Online), organiser 642879, Vadhera, Shelly, editor 642885, Umre, Bhimrao S., editor 642886, Kalam, Akhtar, editor 495444

Model Predictive Control of Cascaded Multi-Output Multilevel Converter by Jayan, Vijesh, Ahmed S. Hussein, Amer Mohammad Yusuf Mohammad Ghias

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Learning-enabled decision-making for autonomous driving: framework and methodology by Huang, Zhiyu

“…Harnessing the power of artificial intelligence (AI) and machine learning (ML) is pivotal in developing such advanced decision-making systems. …”
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RITA: Group Attention is All You Need for Timeseries Analytics by Liang, Jiaming, Cao, Lei, Madden, Samuel, Ives, Zack, Li, Guoliang

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Foundational Integration Verification of a Cryptographic Server by Erbsen, Andres, Philipoom, Jade, Jamner, Dustin, Lin, Ashley, Gruetter, Samuel, Pit-Claudel, Clément, Chlipala, Adam

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MoiréWidgets: High-Precision, Passive Tangible Interfaces via Moiré Effect by Campos Zamora, Daniel, Dogan, Mustafa Doga, Siu, Alexa F, Koh, Eunyee, Xiao, Chang

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Speed-Modulated Ironing: High-Resolution Shade and Texture Gradients in Single-Material 3D Printing by Ozdemir, Mehmet, AlAlawi, Marwa, Dogan, Mustafa Doga, Martinez Castro, Jose, Mueller, Stefanie, Doubrovski, Zjenja

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The role of chatbots in data analytics: an evaluation of functional abilities by Patel, Preeti, Shooshtarian, Sowgol

“…The primary objective is to assess the technological advancements and capabilities of ChatGPT-4 in analyzing data. …”
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Probabilistic Programming with Programmable Variational Inference by Becker, McCoy R., Lew, Alexander K., Wang, Xiaoyan, Ghavami, Matin, Huot, Mathieu, Rinard, Martin C., Mansinghka, Vikash K.

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Lane-aware image enhancement for lane detection in rain (part A) by Zeng, Lanning

“…In recent years, due to the continuous development of science and technology, artificial intelligence technology is also under continuous development. …”
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Scope, characteristics, behavior change techniques, and quality of conversational agents for mental health and well-being: systematic assessment of apps by Lin, Xiaowen, Martinengo, Laura, Jabir, Ahmad Ishqi, Ho, Andy Hau Yan, Car, Josip, Atun, Rifat, Tudor Car, Lorainne

“…There is a need to discern the active components that can promote behavior change in such interventions and ultimately improve users’ mental health. Objective: This study systematically identified mental health conversational agents (CAs) currently available in app stores and assessed the behavior change techniques (BCTs) used. …”
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Effectiveness of forward freight agreements in mitigating handymax bulk ship-owners’ business risks between 2006 and 2015 by Chow, Lai Wan

“…Using data extracted from Clarksons Shipping Intelligence Network, Moores Stephen OpsCost and Bloomberg, the model simulates the financial performance of a shipowner acquiring Handymax Vessels through various acquisition and deployment methods. …”
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LACS: Learning-Augmented Algorithms for Carbon-Aware Resource Scaling with Uncertain Demand by Bostandoost, Roozbeh, Lechowicz, Adam, Hanafy, Walid A., Bashir, Noman, Shenoy, Prashant, Hajiesmaili, Mohammad

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Trajectory prediction of dynamic obstacles in fleet management systems by Quintero, Dann Marko Gayanes

“…Through an exhaustive exploration of deep learning techniques and their applicability, this study endeavours to augment trajectory prediction accuracy for AGVs, while concurrently addressing pertinent real-world challenges such as interpretability, computational efficiency, and industry-specific usability. The primary objective of this research is to identify the optimal trajectory prediction model for AGVs within fleet management systems. …”
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Develop AI based image restoration algorithm for deep tissue imaging in photoacoustic system by Hao, Zeliang

“…Deblurring images poses a fundamental challenge within the realm of low-level computer vision, and the objective is the restoration of a clear image from a blurred input. …”
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Biometric contrastive learning for data-efficient deep learning from electrocardiographic images by Sangha, V, Khunte, A, Holste, G, Mortazavi, BJ, Wang, Z, Oikonomou, EK, Khera, R

“…<p><strong>Objective:&nbsp;</strong>Artificial intelligence (AI) detects heart disease from images of electrocardiograms (ECGs). …”

Defining and risk-stratifying immunosuppression (the DESTINIES study): protocol for an electronic Delphi study by Leston, M, Ordóñez-Mena, J, Joy, M, de Lusignan, S, Hobbs, R, McInnes, I, Lee, L

“…Such information can then be formalized into a digital phenotype to enhance disease surveillance and provide much-needed intelligence on risk-prioritizing these patients. <p><strong> Objective:</p></strong> We aim to demonstrate how electronic Delphi objectives, methodology, and statistical approaches will help address this lack of consensus internationally and deliver a COVID-19 risk-stratified phenotype for “adult immunosuppression.” …”

Autonomy Work: Personhood, Expertise, and Activism of Disabled AI Data Workers in China by Wu, Di

“…Disabled people hack lives, build access, and improvise affordances by reorganizing the pathways between objects, bodies, and environments that were originally designed with other intentions. …”
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Beyond-the-Ice: Designing Games for Facilitating Deeper Conversations by Lee, Cassandra

“…Additionally, both spotlighted games creatively employ generative artificial intelligence (AI) to help mediate player interactions through image interpretation and co-creation. …”
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Turning the virtual into reality: China's role in the metaverse by Gong, Xue

“…In lieu of an abstract, here is a brief excerpt of the content: Introduced by Neal Stephenson in the novel Snow Crash, the idea of the metaverse has gradually come to the attention of the Chinese government through critical achievements in advanced virtual reality (VR) technology, such as artificial intelligence (AI), extended reality, cloud and edge computing, blockchain, and digital twins.1 As the concept first began to develop, the Chinese Communist Party (CCP) neither explicitly objected to the expansion of metaverse technologies nor did it show great support for them. …”
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