Zobrazeno 1 - 10
of 143
pro vyhledávání: '"Mohammadi, Farid"'
Autor:
Oladyshkin, Sergey, Praditia, Timothy, Kröker, Ilja, Mohammadi, Farid, Nowak, Wolfgang, Otte, Sebastian
Publikováno v:
Neural Networks Volume 166, September 2023, Pages 85-104
Artificial Intelligence and Machine learning have been widely used in various fields of mathematical computing, physical modeling, computational science, communication science, and stochastic analysis. Approaches based on Deep Artificial Neural Netwo
Externí odkaz:
http://arxiv.org/abs/2306.14753
Deep learning (DL) along with never-ending advancements in computational processing and cloud technologies have bestowed us powerful analyzing tools and techniques in the past decade and enabled us to use and apply them in various fields of study. He
Externí odkaz:
http://arxiv.org/abs/2302.10904
Autor:
Mohammadi, Farid Ghareh, Chen, Cheng, Shenavarmasouleh, Farzan, Amini, M. Hadi, Morkos, Beshoy, Arabnia, Hamid R.
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 solutions using deep learning have been proposed for point cloud segmenta
Externí odkaz:
http://arxiv.org/abs/2205.15869
In recent years, smart healthcare IoT devices have become ubiquitous, but they work in isolated networks due to their policy. Having these devices connected in a network enables us to perform medical distributed data analysis. However, the presence o
Externí odkaz:
http://arxiv.org/abs/2202.02868
Autor:
Mohammadi, Farid Ghareh, Shenavarmasouleh, Farzan, Rasheed, Khaled, Taha, Thiab, Amini, M. Hadi, Arabnia, Hamid R.
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 science challenges. The study of bionics reveals that how the biological s
Externí odkaz:
http://arxiv.org/abs/2202.03859
Hyperparameter tuning in machine learning algorithms is a computationally challenging task due to the large-scale nature of the problem. In order to develop an efficient strategy for hyper-parameter tuning, one promising solution is to use swarm inte
Externí odkaz:
http://arxiv.org/abs/2112.08511
The explosion of advancements in artificial intelligence, sensor technologies, and wireless communication activates ubiquitous sensing through distributed sensors. These sensors are various domains of networks that lead us to smart systems in healthc
Externí odkaz:
http://arxiv.org/abs/2109.05581
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. In order to tailor an ML model towards a specific application, a large
Externí odkaz:
http://arxiv.org/abs/2109.05319
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 sensors and transmit them using cloud technologies in order to communicat
Externí odkaz:
http://arxiv.org/abs/2108.09823
Autor:
Shenavarmasouleh, Farzan, Mohammadi, Farid Ghareh, Amini, M. Hadi, Taha, Thiab, Rasheed, Khaled, Arabnia, Hamid R.
Medical Imaging is one of the growing fields in the world of computer vision. In this study, we aim to address the Diabetic Retinopathy (DR) problem as one of the open challenges in medical imaging. In this research, we propose a new lesion detection
Externí odkaz:
http://arxiv.org/abs/2108.08095