Advanced Deep Learning AlgorithmsYew Kee Wong
Heuristic strategy using hybrid deep learning with transfer learning for oral cancer detection. Int J Wavelets Multiresolut Inf Process. 2024;2450039. doi:10.1142/S0219691324500395. (Open in a new window)Google Scholar Dos Santos GC, Araújo ALD, de Amorim HA, et al. Feasibility study of ...
Deep learning approaches have been rapidly developed in recent years, both in terms of methodologies and practical applications. Deep learning techniques provide computational models of multiple processing layers to learn and represent data with multiple levels of abstraction. Deep Learning allows to implic...
Advanced deep learning algorithms play a key role in optimizing energy usage in smart cities, leveraging massive datasets to increase efficiency and sustainability. These algorithms analyze real-time data from sensors and IoT devices to predict energy demand, enabling dynamic load balancing and reducing...
The rest of the paper is organized as follows: Section 2 presents previous work related to the use of deep learning algorithms in the identification of smart objects. Section 3 discusses in detail the steps and procedures of the development process of the RNN model for classifying smart home ob...
Algorithms and data structures Electrical system Computational statistics Computational science and engineering Deep/convolutional neural networks Generative adversarial network Recurrent neural networks Neural network structure Neural symbol mixing model Interpretability and visualization methods of neural networks Neura...
Computational pathology has seen rapid growth in recent years, driven by advanced deep-learning algorithms. Due to the sheer size and complexity of multi-gigapixel whole-slide images, to the best of our knowledge, there is no open-source software library providing a generic end-to-end API for...
we'll gain productivity by saving time in code implementation which can instead be spent on more critical tasks such as formulating better deep learning algorithms. We're combining Keras with deep learning, as it offers increased efficiency when introduced with the three deep learning networks that...
We employed transfer learning techniques to detect weapons and violence, and utilized a face recognition algorithm for identifying individuals. Specifically, YOLOv5 was utilized for weapon detection, MobileNetv2 for detecting violent behavior, and various face recognition algorithms for face recognition. ...
In a world where data-driven solutions are revolutionizing industries, mastering advanced machine learning techniques is a pivotal skill that empowers innovation and strategic decision-making. This equips you with the expertise needed to harness advanced machine-learning algorithms. You will delve into ...