Post-pandemic office work: Perceived challenges and opportunities for a sustainable work environment

M Babapour Chafi, A Hultberg, N Bozic Yams - Sustainability, 2021 - mdpi.com
The widespread adoption of remote and hybrid work due to COVID-19 calls for studies that
explore the ramifications of these scenarios for office workers from an occupational health …

Generative ai in the construction industry: Opportunities & challenges

P Ghimire, K Kim, M Acharya - arXiv preprint arXiv:2310.04427, 2023 - arxiv.org
In the last decade, despite rapid advancements in artificial intelligence (AI) transforming
many industry practices, construction largely lags in adoption. Recently, the emergence and …

Language generation models can cause harm: So what can we do about it? an actionable survey

S Kumar, V Balachandran, L Njoo… - arXiv preprint arXiv …, 2022 - arxiv.org
Recent advances in the capacity of large language models to generate human-like text have
resulted in their increased adoption in user-facing settings. In parallel, these improvements …

Gandiffface: Controllable generation of synthetic datasets for face recognition with realistic variations

P Melzi, C Rathgeb, R Tolosana… - Proceedings of the …, 2023 - openaccess.thecvf.com
Face recognition systems have significantly advanced in recent years, driven by the
availability of large-scale datasets. However, several issues have recently came up …

AI-based conversational agents: a scoping review from technologies to future directions

S Kusal, S Patil, J Choudrie, K Kotecha, S Mishra… - IEEE …, 2022 - ieeexplore.ieee.org
Artificial intelligence is changing the world, especially the interaction between machines and
humans. Learning and interpreting natural languages and responding have paved the way …

A survey on the detection and impacts of deepfakes in visual, audio, and textual formats

R Mubarak, T Alsboui, O Alshaikh, I Inuwa-Dute… - IEEE …, 2023 - ieeexplore.ieee.org
In the rapidly evolving digital landscape, the generation of fake visual, audio, and textual
content poses a significant threat to the trust of society, political stability, and integrity of …

Learning to parallelize with openmp by augmented heterogeneous ast representation

L Chen, QI Mahmud, H Phan… - Proceedings of …, 2023 - proceedings.mlsys.org
Detecting parallelizable code regions is a challenging task, even for experienced
developers. Numerous recent studies have explored the use of machine learning for code …

Deep person generation: A survey from the perspective of face, pose, and cloth synthesis

T Sha, W Zhang, T Shen, Z Li, T Mei - ACM Computing Surveys, 2023 - dl.acm.org
Deep person generation has attracted extensive research attention due to its wide
applications in virtual agents, video conferencing, online shopping, and art/movie …

A novel automatic detection method for abnormal behavior of single fish using image fusion

X Li, Y Hao, M Akhter, D Li - Computers and Electronics in Agriculture, 2022 - Elsevier
Fish behavior detection is extremely important for farmers to get information on life indicators
of fish, which could be useful to prevent disease outbreaks, predict water quality changes …

Short-term urban rail transit passenger flow forecasting based on fusion model methods using univariate time series

DD Chuwang, W Chen, M Zhong - Applied Soft Computing, 2023 - Elsevier
Global urbanization has made the urban rail transit system an essential service for a
growing population. To help urban rail transit stations design optimal operational plans …