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Deep transfer learning with gravitational search algorithm for ...


Deep transfer learning with gravitational search algorithm for ...

Therefore, identifying and classifying diseases at an early stage is very important in order to sustain local and global food security. In this ...

(PDF) Deep transfer learning with gravitational search algorithm for ...

Therefore, identifying and classifying diseases at an early stage is very important in order to sustain local and global food security. In this ...

Deep transfer learning with gravitational search algorithm for ...

Semantic Scholar extracted view of "Deep transfer learning with gravitational search algorithm for enhanced plant disease classification" by Mehdhar ...

Deep transfer learning with gravitational search algorithm for ...

Article on Deep transfer learning with gravitational search algorithm for enhanced plant disease classification, published in Heliyon 10 on 2024-04-01 by ...

Deep transfer learning with gravitational search algorithm for ...

... method to identify plant diseases by combining transfer learning and Gravitational Search Algorithm (GSA). Two state-of-the-art pretrained models have been ...

Deep transfer learning with gravitational search algorithm for ... - OUCI

Deep transfer learning with gravitational search algorithm for enhanced plant disease classification · Mehdhar S.A.M. Al-Gaashani · Nagwan Abdel Samee · Reem ...

Deep transfer learning with gravitational search algorithm ... - X-MOL

Deep transfer learning with gravitational search algorithm for enhanced plant disease classification. Heliyon Pub Date : 2024-04-02. DOI : 10.1016/j.heliyon ...

A Deep Transfer Learning Approach on Identifying Glitch Wave-form ...

Building on this, the LIGO-Virgo Collaboration has advocated citizen science involvements in the search for these glitches, e.g., Gravity Spy [1] ...

Deep transfer learning with gravitational search algorithm for ...

Article "Deep transfer learning with gravitational search algorithm for enhanced plant disease classification" Detailed information of the J-GLOBAL is an ...

Gravitational Search Algorithm - an overview | ScienceDirect Topics

To train deep learning models, Optimization Algorithms are used which are the tools to update model parameters and minimize the defined loss function. The ...

(PDF) A Deep Transfer Learning Approach on Identifying Glitch ...

... Gravitational Waves. PreprintPDF Available. A Deep ... those glitches using different deep transfer learning algorithms. The extensive experiment shows that ...

Glitch Classification and Clustering for LIGO with Deep Transfer ...

The detection of gravitational waves with LIGO and Virgo requires a detailed understanding of the response of these instruments in the presence of ...

Deep transfer learning for the classification of variable sources

We demonstrate similar transfer learning using HIPPARCOS and ASAS-SN data. We therefore find that it is not necessary to train a neural network from scratch for ...

Transfer Learning Applied to Computer Vision Problems - arXiv

Transfer Learning, Deep ... For illustration, different nature-inspired optimization algorithms like particle swarm optimization, gravitational ...

Searching for massive black hole binaries with a transfer learning ...

... deep learning algorithms in probing complex signal morphology in the field of gravitational-wave astronomy. With the current training set ...

A deep hybrid transfer learning-based evolutionary algorithm and its ...

AbstractHigh-order problems pose significant challenges for evolutionary algorithms (EAs) to optimize. To mitigate this, a deep hybrid transfer learning EA ...

A Deep Transfer Learning Approach on Identifying Glitch Wave-form ...

LIGO interferometer is considered the most sensitive and complicated gravitational experimental equipment ever built.

Deep transfer learning for star cluster classification - Oxford Academic

We find that the overall classification accuracies are not significantly affected by these choices. The networks are used to classify star cluster candidates in ...

An optimized deep learning architecture for the diagnosis of COVID ...

Keywords: Convolutional neural networks; Deep learning; Gravitational search algorithm; Hyperparameters optimization; SARS-CoV-2; Transfer learning.

GSA-DenseNet121-COVID-19: a Hybrid Deep Learning Architecture ...

GSA-DenseNet121-COVID-19: a Hybrid Deep Learning Architecture for the Diagnosis of COVID-19 Disease based on Gravitational Search Optimization Algorithm · Dalia ...