[HTML][HTML] Re-thinking data strategy and integration for artificial intelligence: concepts, opportunities, and challenges

A Aldoseri, KN Al-Khalifa, AM Hamouda - Applied Sciences, 2023 - mdpi.com
The use of artificial intelligence (AI) is becoming more prevalent across industries such as
healthcare, finance, and transportation. Artificial intelligence is based on the analysis of …

AI and the creative realm: A short review of current and future applications

F Crimaldi, M Leonelli - arXiv preprint arXiv:2306.01795, 2023 - arxiv.org
This study explores the concept of creativity and artificial intelligence (AI) and their recent
integration. While AI has traditionally been perceived as incapable of generating new ideas …

Computer-aided lung cancer detection and classification of CT images using convolutional neural network

SL Bangare, L Sharma, AN Varade… - Computer Vision and …, 2022 - taylorfrancis.com
Lung cancer is one of the mortal cancer types that cause a high number of deaths every
year. If not diagnosed in early stages, the probability of survival of a patient with lung cancer …

AI in health science: A perspective

R Mishra, K Chaudhary, I Mishra - Current Pharmaceutical …, 2023 - ingentaconnect.com
By helping practitioners understand complicated and varied types of data, Artificial
Intelligence (AI) has influenced medical practice deeply. It is the use of a computer to mimic …

Analysis of machine learning techniques for airfare prediction

J Singh, D Gupta, L Sharma - Computer Vision and Internet of …, 2022 - taylorfrancis.com
This chapter contains how data is processed in order to predict prices of things and also how
the prediction of prices of airlines tickets is done from scratch. Along with the accuracy in …

State of the art of artificial intelligence in dentistry and its expected future

V Jokanović, M Živković, S Živković - Computer Vision and Internet …, 2022 - taylorfrancis.com
The application of artificial intelligence (AI), which includes its limitations and the expected
development of dental diagnostics based on it, as well as more efficient treatment planning …

Machine learning based plant disease identification by using hybrid naïve bayes with decision tree algorithm

NK Yetukuri, K Maddali… - 2023 5th International …, 2023 - ieeexplore.ieee.org
Artificial intelligence or machine learning as a domain started as a distinct domain
marketplace for enthusiasts. Over an extended period of time, this has evolved into an …

Understanding Geospatial Data

P Garg - Emerging Trends, Techniques, and Applications in …, 2023 - igi-global.com
Geospatial data is described by its location on the Earth. There are many sources of
geospatial data (eg, remote sensing, point cloud data, LiDAR, GPS, Internet, IoT, etc.) that …

[PDF][PDF] Integration of AI Use Cases in Training to Support Industry 4.0

AA Nazarenko, M Zamiri, J Sarraipa, P Figueiras… - Journal of Advances in …, 2024 - jait.us
As the demand for Artificial Intelligence (AI) continues to grow across industries, there is a
need for effective training programs that support the successful deployment of AI in various …

Comprehensive Overview of the Opportunities and Challenges in AI

P Geetha - … on Sustainable Computing and Smart Systems …, 2023 - ieeexplore.ieee.org
This research study presents a comprehensive overview of the opportunities and challenges
posed by Artificial Intelligence (AI). This research study begins with an introduction to the …