Results 31 to 40 of about 1,888,792 (317)

CrowdHeritage: Crowdsourcing for Improving the Quality of Cultural Heritage Metadata

Information, 2021
The lack of granular and rich descriptive metadata highly affects the discoverability and usability of cultural heritage collections aggregated and served through digital platforms, such as Europeana, thus compromising the user experience.
Eirini Kaldeli, Orfeas Menis-Mastromichalakis, Spyros Bekiaris, Maria Ralli, Vassilis Tzouvaras, Giorgos Stamou   +5 more
doaj   +1 more source

Deep Learning for Consumer Devices and Services: Pushing the limits for machine learning, artificial intelligence, and computer vision.

IEEE Consumer Electronics Magazine, 2017
In the last few years, we have witnessed an exponential growth in research activity into the advanced training of convolutional neural networks (CNNs), a field that has become known as deep learning.
Joseph Lemley, S. Bazrafkan, P. Corcoran
semanticscholar   +1 more source

Recent patents on computational intelligence [PDF]

, 2008
The field of computational intelligence is the successor of artificial intelligence. It combines elements of learning, evolution and fuzzy logic to create programs that can exhibit, to some degree, intelligent behaviour.
Elizondo, David A., Matthews, Stephen
core   +2 more sources

MultiClass Decision Forest Machine Learning Artificial Intelligence

, 2020
Received 2019-03-06 Revised 2019-11-22 Accepted 2020-01-21 Kecerdasan buatan merupakan solusi yang terbaik dalam menangai berbagai bidang. Algoritma Multi Class Decesion Forest Machine Learning yang merupakan bagian dari kecerdasan buatan adalah bidang ...
B. Siswoyo
semanticscholar   +1 more source

A Systematic Literature Review on Diabetic Retinopathy Using an Artificial Intelligence Approach

Big Data and Cognitive Computing, 2022
Diabetic retinopathy occurs due to long-term diabetes with changing blood glucose levels and has become the most common cause of vision loss worldwide.
Pooja Bidwai, Shilpa Gite, Kishore Pahuja, Ketan Kotecha   +3 more
doaj   +1 more source

Systematic review of research on artificial intelligence applications in higher education – where are the educators?

International Journal of Educational Technology in Higher Education, 2019
According to various international reports, Artificial Intelligence in Education (AIEd) is one of the currently emerging fields in educational technology.
Olaf Zawacki-Richter, Victoria I. Marín, Melissa Bond, Franziska Gouverneur   +3 more
semanticscholar   +1 more source

Leadership is needed for ethical ChatGPT: Character, assessment, and learning using artificial intelligence (AI)

Journal of University Teaching and Learning Practice, 2023
The OpenAI’s ChatGPT-3, or Chat Generative Pre-Trained Transformer was released in November 2022 without significant warning, and has taken higher education by storm since.
J. Crawford, Michael Cowling, Kelly-Ann Allen   +2 more
semanticscholar   +1 more source

GreenCount: AI-Powered Tree Counting and Vegetation Monitoring from UAV and Satellite Imagery [PDF]

E3S Web of Conferences
Traditional tree counting relied on field surveys or semi-automated methods, such as NDVI thresholding and clustering. These methods are slow, labor-intensive, and often inaccurate in cases of dense or overlapping canopies.
Tarade Juily, Shetty Gagan, Patil Tanmay, Ravat Kishan, Shah Tirth, Khot Uday Pandit   +5 more
doaj   +1 more source

Face Liveness Detection Using Artificial Intelligence Techniques: A Systematic Literature Review and Future Directions

Big Data and Cognitive Computing, 2023
Biometrics has been evolving as an exciting yet challenging area in the last decade. Though face recognition is one of the most promising biometrics techniques, it is vulnerable to spoofing threats.
Smita Khairnar, Shilpa Gite, Ketan Kotecha, Sudeep D. Thepade   +3 more
doaj   +1 more source

Integration of artificial intelligence performance prediction and learning analytics to improve student learning in online engineering course

International Journal of Educational Technology in Higher Education, 2023
As a cutting-edge field of artificial intelligence in education (AIEd) that depends on advanced computing technologies, AI performance prediction model is widely used to identify at-risk students that tend to fail, establish student-centered learning ...
Ouyang Fan, Mian Wu, Luyi Zheng, Liyin Zhang, Pengcheng Jiao   +4 more
semanticscholar   +1 more source