Zobrazeno 1 - 10
of 196
pro vyhledávání: '"J. Jenny Li"'
Publikováno v:
Computers, Vol 13, Iss 7, p 156 (2024)
In an era where dietary habits significantly impact health, technological interventions can offer personalized and accessible food choices. This paper introduces Chef Dalle, a recipe recommendation system that leverages multi-model and multimodal hum
Externí odkaz:
https://doaj.org/article/6e1dd846ecfc4c958ddeebdd033e41d4
Autor:
Yulia Kumar, Daehan Kwak, Paolien Wang, J. Jenny Li, Patricia Morreale, Ching-Yu Huang, Jean Chu
Publikováno v:
SIGCSE
A growth mindset encourages the development of intelligence, in contrast to a fixed mindset, which considers intelligence to be fixed and unable to be changed. Within computer science education, there is an awareness of a growth mindset, but resource
Publikováno v:
ICICT
To study a potential autonomous drone's object recognition and reaction, we created a convolutional neural network (CNN) and used it to detect and count the empty parking spots in a parking lot taken from drone video footage. We first trained the net
Publikováno v:
2020 IEEE Conference on Big Data and Analytics (ICBDA).
Deep Learning (DL) becomes a mainstream technique for Artificial Intelligence (AI) machine learning because of its success in performing many tasks, such as image recognition, speech interpretation, language prediction and translation. We are investi
Autor:
J. Jenny Li, Patricia Morreale
Publikováno v:
2014 ASEE Annual Conference & Exposition Proceedings.
Publikováno v:
Advances in Intelligent Systems and Computing ISBN: 9783030551797
IntelliSys (1)
IntelliSys (1)
The very exciting and promising approaches of deep learning are immensely successful in processing large real world data sets, such as image recognition, speech recognition, and language translation. However, much research discovered that it has bias
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::2efd703f42aa41653667b00e7542edbe
https://doi.org/10.1007/978-3-030-55180-3_48
https://doi.org/10.1007/978-3-030-55180-3_48
Publikováno v:
Software quality journal (2019). doi:10.1007/s11219-019-09472-3
info:cnr-pdr/source/autori:Li J.J.; Ulrich A.; Bai X.; Bertolino A./titolo:Advances in test automation for software with special focus on artificial intelligence and machine learning/doi:10.1007%2Fs11219-019-09472-3/rivista:Software quality journal/anno:2019/pagina_da:/pagina_a:/intervallo_pagine:/volume
info:cnr-pdr/source/autori:Li J.J.; Ulrich A.; Bai X.; Bertolino A./titolo:Advances in test automation for software with special focus on artificial intelligence and machine learning/doi:10.1007%2Fs11219-019-09472-3/rivista:Software quality journal/anno:2019/pagina_da:/pagina_a:/intervallo_pagine:/volume
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_dedup___::62aee34c89f36215e57b5b1e7a19c24e
http://www.cnr.it/prodotto/i/413385
http://www.cnr.it/prodotto/i/413385
Autor:
J. Jenny Li, Qian Wang
Publikováno v:
Proceedings of the International Conference on Pattern Recognition and Artificial Intelligence.
This paper presents a study of extracting related content based on links on web sites through semantics keyword inputs and content analysis. The java-based implementation semantically converts keywords in English to potential website names as those d
Publikováno v:
Proceedings of the International Conference on Pattern Recognition and Artificial Intelligence.
This paper presents a reliable LifeLine, app or device, that uses multiple native hardware sensors in conjunction with motion detection methods and AI/machine learning algorithms to automatically detect life-threatening conditions. The app or device
Publikováno v:
Proceedings of the International Conference on Pattern Recognition and Artificial Intelligence.
Understanding how a machine learns is a pressing topic as machine learning becomes more complex enabled by more powerful computers. This paper presents a visualization of neural networks to make them trackable during the operation of learning for pat