Review of deep learning algorithms and architectures

A Shrestha, A Mahmood - IEEE access, 2019 - ieeexplore.ieee.org
Deep learning (DL) is playing an increasingly important role in our lives. It has already made
a huge impact in areas, such as cancer diagnosis, precision medicine, self-driving cars …

Survey of deep learning paradigms for speech processing

KB Bhangale, M Kothandaraman - Wireless Personal Communications, 2022 - Springer
Over the past decades, a particular focus is given to research on machine learning
techniques for speech processing applications. However, in the past few years, research …

Classification of skin disease using deep learning neural networks with MobileNet V2 and LSTM

PN Srinivasu, JG SivaSai, MF Ijaz, AK Bhoi, W Kim… - Sensors, 2021 - mdpi.com
Deep learning models are efficient in learning the features that assist in understanding
complex patterns precisely. This study proposed a computerized process of classifying skin …

[HTML][HTML] Metacognition as a consequence of competing evolutionary time scales

F Kuchling, C Fields, M Levin - Entropy, 2022 - mdpi.com
Evolution is full of coevolving systems characterized by complex spatio-temporal interactions
that lead to intertwined processes of adaptation. Yet, how adaptation across multiple levels …

[HTML][HTML] Feature selection method based on quantum inspired genetic algorithm for Arabic signature verification

AA Abdulhussien, MF Nasrudin, SM Darwish… - Journal of King Saud …, 2023 - Elsevier
The signature is a behavioral-based human characteristics that is extensively used as legal
evidence of identification on bank checks, credit cards, and wills. Develo** a good offline …

Machine learning and deep learning algorithms for IoD

JS Dhatterwal, KS Kaswan, V Jaglan… - The Internet of …, 2022 - taylorfrancis.com
In the world's fast emerging web, everybody, and all is connected to the internet and it is part
of the life of the people. The new development for secure operations in commercial and …

[PDF][PDF] Detection and classification of skin diseases with ensembles of deep learning networks in medical imaging

A Kalaivani, S Karpagavalli - International journal of health …, 2022 - researchgate.net
Skin disorders are a serious worldwide public health issue that affects a large number of
individuals. In recent years, with the fast advancement of technology and the use of different …

Optimizing deep neural network architecture with enhanced genetic algorithm

A Shrestha, A Mahmood - 2019 18th IEEE International …, 2019 - ieeexplore.ieee.org
Only weights and biases are learned by gradient descent-based training of Deep Neural
Networks (DNN). The other parameters, ie, hyperparameters have a huge influence on the …

[HTML][HTML] Beam deflection monitoring based on a genetic algorithm using lidar data

MB Maru, D Lee, G Cha, S Park - Sensors, 2020 - mdpi.com
The Light Detection And Ranging (LiDAR) system has become a prominent tool in structural
health monitoring. Among such systems, Terrestrial Laser Scanning (TLS) is a potential …

Shrimp feed formulation via evolutionary algorithm with power heuristics for handling constraints

RA Rahman, G Kendall, R Ramli, Z Jamari… - …, 2017 - Wiley Online Library
Formulating feed for shrimps represents a challenge to farmers and industry partners. Most
previous studies selected from only a small number of ingredients due to cost pressures …