UAV Communications with Machine Learning: Challenges, Applications and Open Issues

2021 ◽  
Author(s):  
Sana Ben Aissa ◽  
Asma Ben Letaifa
Keyword(s):  
Machine Learning ◽  
Learning Challenges ◽  
Open Issues

scholarly journals Machine learning challenges and impact: an interview with Thomas Dietterich

2017 ◽  
Vol 5 (1) ◽  
pp. 54-58 ◽  
Author(s):  
Zhi-Hua Zhou
Keyword(s):  
Artificial Intelligence ◽  
Machine Learning ◽  
Driving Force ◽  
Professor Emeritus ◽  
State University ◽  
Learning Society ◽  
Learning Challenges ◽  
The World ◽  
The Usa ◽  
Oregon State University

Abstract Machine learning is the driving force of the hot artificial intelligence (AI) wave. In an interview with NSR, Prof. Thomas Dietterich, the distinguished professor emeritus of computer science at Oregon State University in the USA, the former president of Association of Advancement of Artificial Intelligence (AAAI, the most prestigious association in the field of artificial intelligence) and the founding president of the International Machine Learning Society, talked about exciting recent advances and technical challenges of machine learning, as well as its big impact on the world.

scholarly journals E-Learning: Challenges and Research Opportunities Using Machine Learning & Data Analytics

IEEE Access ◽  
2018 ◽  
Vol 6 ◽  
pp. 39117-39138 ◽  
Author(s):  
Abdallah Moubayed ◽  
Mohammadnoor Injadat ◽  
Ali Bou Nassif ◽  
Hanan Lutfiyya ◽  
Abdallah Shami
Keyword(s):  
Machine Learning ◽  
Data Analytics ◽  
Research Opportunities ◽  
Learning Challenges ◽  
E Learning ◽  
Learning Data

scholarly journals A Review of Fog Computing and Machine Learning: Concepts, Applications, Challenges, and Open Issues

IEEE Access ◽  
2019 ◽  
Vol 7 ◽  
pp. 153123-153140 ◽  
Author(s):  
Karrar Hameed Abdulkareem ◽  
Mazin Abed Mohammed ◽  
Saraswathy Shamini Gunasekaran ◽  
Mohammed Nasser Al-Mhiqani ◽  
Ammar Awad Mutlag ◽  
...  
Keyword(s):  
Machine Learning ◽  
Fog Computing ◽  
Open Issues

scholarly journals Julia language in machine learning: Algorithms, applications, and open issues

2020 ◽  
Vol 37 ◽  
pp. 100254 ◽  
Author(s):  
Kaifeng Gao ◽  
Gang Mei ◽  
Francesco Piccialli ◽  
Salvatore Cuomo ◽  
Jingzhi Tu ◽  
...  
Keyword(s):  
Machine Learning ◽  
Learning Algorithms ◽  
Machine Learning Algorithms ◽  
Open Issues

Towards Understanding Developers’ Machine-Learning Challenges: A Multi-Language Study on Stack Overflow

2021 ◽  
Author(s):  
Alaleh Hamidi ◽  
Giuliano Antoniol ◽  
Khomh Foutse ◽  
Massimiliano Di Penta ◽  
Mohammad Hamidi
Keyword(s):  
Machine Learning ◽  
Stack Overflow ◽  
Learning Challenges ◽  
Language Study

scholarly journals Open issues in statistical forecasting of solar proton events: a Machine Learning perspective

2021 ◽  
Author(s):  
Mirko Stumpo ◽  
Simone Benella ◽  
Monica LAURENZA ◽  
Tommaso Alberti ◽  
Giuseppe Consolini ◽  
...  
Keyword(s):  
Machine Learning ◽  
Solar Proton ◽  
Statistical Forecasting ◽  
Solar Proton Events ◽  
Open Issues

Machine Learning Challenges in Pharmacogenomic Research

2021 ◽  
Author(s):  
Wei‐Qi Wei ◽  
Juan Zhao ◽  
Dan M. Roden ◽  
Josh F. Peterson
Keyword(s):  
Machine Learning ◽  
Learning Challenges
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