Artificial intelligence applications in the football codes: A systematic review
Artificial Intelligence (AI) is increasingly being adopted across many domains such as
transport, healthcare, defence and sport, with football codes no exception. Though there is a …
transport, healthcare, defence and sport, with football codes no exception. Though there is a …
An efficient dimensionality reduction based on adaptive-GSM and transformer assisted classification for high dimensional data
Over the last decade, a surge in multimedia data has significantly impacted research areas
like multimedia retrieval, database management, and medical imaging. Traditional machine …
like multimedia retrieval, database management, and medical imaging. Traditional machine …
Fake banknote recognition using deep learning
Recently, some state-of-the-art works have used deep learning-based architectures,
specifically convolutional neural networks (CNNs), for banknote recognition and counterfeit …
specifically convolutional neural networks (CNNs), for banknote recognition and counterfeit …
An in-depth study to fine-tune the hyperparameters of pre-trained transfer learning models with state-of-the-art optimization methods: Osteoarthritis severity …
Discrete & continuous optimization constitutes a challenging task and generally rises as an
NP-hard problem. In the literature, as a derivative of this type of optimization issue …
NP-hard problem. In the literature, as a derivative of this type of optimization issue …
[HTML][HTML] A systematic review of hyperparameter optimization techniques in Convolutional Neural Networks
Abstract Convolutional Neural Network (CNN) is a prevalent topic in deep learning (DL)
research for their architectural advantages. CNN relies heavily on hyperparameter …
research for their architectural advantages. CNN relies heavily on hyperparameter …
Leveraging artificial neural networks for enhanced athlete performance evaluation through IMU data analysis
J Si, AR Thelkar - Heliyon, 2024 - cell.com
Traditional methods of assessing athletes' physical fitness rely on standardized tests tailored
to diverse demographics. However, emerging research suggests that supplementing …
to diverse demographics. However, emerging research suggests that supplementing …
Enhancing sports image data classification in federated learning through genetic algorithm-based optimization of base architecture
Nowadays, federated learning is one of the most prominent choices for making decisions. A
significant benefit of federated learning is that, unlike deep learning, it is not necessary to …
significant benefit of federated learning is that, unlike deep learning, it is not necessary to …
Hyper-parameter optimization of convolutional neural networks for classifying COVID-19 X-ray images
For more than a year the COVID-19 epidemic is threatening people all over the world.
Numerous researchers are looking for all possible insights into the new corona virus SARS …
Numerous researchers are looking for all possible insights into the new corona virus SARS …
Gas-liquid vertical pipe flow patterns convolutional neural network classification using experimental advanced wire mesh sensor images
Flow pattern identification for simultaneous gas-liquid flow in pipes is a central problem in
the petroleum industry. However, there are many conventional methods used for flow …
the petroleum industry. However, there are many conventional methods used for flow …
Workoutnet: A deep learning model for the recognition of workout actions from still images
Workouts or Exercises are some repetitive physical activities essential for maintaining good
health. Workouts make us relax and happy, give us more energy, lower the risk of chronic …
health. Workouts make us relax and happy, give us more energy, lower the risk of chronic …