Technological trends and engineering issues on vertical farms: a review
Vertical farming has emerged as a promising solution to cope with increasing food demand,
urbanization pressure, and limited resources and to ensure sustainable year-round urban …
urbanization pressure, and limited resources and to ensure sustainable year-round urban …
Unmasking bias in artificial intelligence: a systematic review of bias detection and mitigation strategies in electronic health record-based models
Objectives Leveraging artificial intelligence (AI) in conjunction with electronic health records
(EHRs) holds transformative potential to improve healthcare. However, addressing bias in …
(EHRs) holds transformative potential to improve healthcare. However, addressing bias in …
Artificial intelligence and the public arena
A Jungherr, R Schroeder - Communication Theory, 2023 - academic.oup.com
The public arena relies on artificial intelligence (AI) to ever greater degrees. Media
structures hosting the public arena—such as Facebook, TikTok, Twitter, and YouTube …
structures hosting the public arena—such as Facebook, TikTok, Twitter, and YouTube …
Deep learning based emulator for simulating CMAQ surface NO2 levels over the CONUS
This study details the development and evaluation of an emulator model of the Community
Multiscale Air Quality (CMAQ) model, utilizing a U-Net deep learning architecture to …
Multiscale Air Quality (CMAQ) model, utilizing a U-Net deep learning architecture to …
Deep learning safety concerns in automated driving perception
S Abrecht, A Hirsch, S Raafatnia… - IEEE Transactions on …, 2024 - ieeexplore.ieee.org
Recent advances in the field of deep learning and impressive performance of deep neural
networks (DNNs) for perception have resulted in an increased demand for their use in …
networks (DNNs) for perception have resulted in an increased demand for their use in …
Dc-check: A data-centric ai checklist to guide the development of reliable machine learning systems
While there have been a number of remarkable breakthroughs in machine learning (ML),
much of the focus has been placed on model development. However, to truly realize the …
much of the focus has been placed on model development. However, to truly realize the …
The intersection of ai and quantum computing in financial markets: a critical review
This review explores the intricate and evolving relationship between Artificial Intelligence
(AI) and Quantum Computing within the realm of financial markets. As technology continues …
(AI) and Quantum Computing within the realm of financial markets. As technology continues …
Framework for multi-criteria assessment of classification models for the purposes of credit scoring
P Ziemba, J Becker, A Becker, A Radomska-Zalas - Journal of Big Data, 2023 - Springer
The main dilemma in the case of classification tasks is to find—from among many
combinations of methods, techniques and values of their parameters—such a structure of …
combinations of methods, techniques and values of their parameters—such a structure of …
[HTML][HTML] Sensor-based agitation prediction in institutionalized people with dementia A systematic review
Early detection of agitation in individuals with dementia can lead to timely interventions,
preventing the worsening of situations and enhancing their quality of life. The emergence of …
preventing the worsening of situations and enhancing their quality of life. The emergence of …
Suitability of forward-forward and pepita learning to mlcommons-tiny benchmarks
On-device learning challenges the restricted memory and computation requirements
imposed by its deployment on tiny devices. Current training algorithms are based on …
imposed by its deployment on tiny devices. Current training algorithms are based on …