7 citations · 9 across the 6 of their papers we have counts for
12 papers
3D-model ShapeNet Core Classification using Meta-Semantic Learning
Farid Ghareh Mohammadi, Cheng Chen, Farzan Shenavarmasouleh +3
Understanding 3D point cloud models for learning purposes has become an imperative challenge for real-world identification such as autonomous driving systems. A wide variety of sol…
The application of Evolutionary and Nature Inspired Algorithms in Data Science and Data Analytics
Farid Ghareh Mohammadi, Farzan Shenavarmasouleh, Khaled Rasheed +3
In the past 30 years, scientists have searched nature, including animals and insects, and biology in order to discover, understand, and model solutions for solving large-scale scie…
Data Analytics for Smart cities: Challenges and Promises
Farid Ghareh Mohammadi, Farzan Shenavarmasouleh, M. Hadi Amini +1
The explosion of advancements in artificial intelligence, sensor technologies, and wireless communication activates ubiquitous sensing through distributed sensors. These sensors ar…
HyP-ABC: A Novel Automated Hyper-Parameter Tuning Algorithm Using Evolutionary Optimization
Leila Zahedi, Farid Ghareh Mohammadi, M. Hadi Amini
Machine learning techniques lend themselves as promising decision-making and analytic tools in a wide range of applications. Different ML algorithms have various hyper-parameters.…
Embodied AI-Driven Operation of Smart Cities: A Concise Review
Farzan Shenavarmasouleh, Farid Ghareh Mohammadi, M. Hadi Amini +1
A smart city can be seen as a framework, comprised of Information and Communication Technologies (ICT). An intelligent network of connected devices that collect data with their sen…
Search Algorithms for Automated Hyper-Parameter Tuning
Leila Zahedi, Farid Ghareh Mohammadi, Shabnam Rezapour +2
Machine learning is a powerful method for modeling in different fields such as education. Its capability to accurately predict students' success makes it an ideal tool for decision…