Hyperparameter tuning for machine learning algorithms used for arabic sentiment analysis
Machine learning models are used today to solve problems within a broad span of
disciplines. If the proper hyperparameter tuning of a machine learning classifier is …
disciplines. If the proper hyperparameter tuning of a machine learning classifier is …
Multimodal brain tumor classification using deep learning and robust feature selection: A machine learning application for radiologists
Manual identification of brain tumors is an error-prone and tedious process for radiologists;
therefore, it is crucial to adopt an automated system. The binary classification process, such …
therefore, it is crucial to adopt an automated system. The binary classification process, such …
Deep neural network features fusion and selection based on PLS regression with an application for crops diseases classification
Objective: The plants diseases affect both the production and quality of food in the
agriculture sector. Computer vision techniques can contribute significantly by detecting the …
agriculture sector. Computer vision techniques can contribute significantly by detecting the …
Hybrid malware classification method using segmentation-based fractal texture analysis and deep convolution neural network features
As the number of internet users increases so does the number of malicious attacks using
malware. The detection of malicious code is becoming critical, and the existing approaches …
malware. The detection of malicious code is becoming critical, and the existing approaches …
Exponential particle swarm optimization for global optimization
Nature-inspired metaheuristics have been extensively investigated to solve challenging
optimization problems. Particle Swarm Optimization (PSO) is one of the most famous nature …
optimization problems. Particle Swarm Optimization (PSO) is one of the most famous nature …
[HTML][HTML] A hybrid algorithm (BAPSO) for capacity configuration optimization in a distributed solar PV based microgrid
This paper proposes a hybrid algorithm for capacity configuration optimization of a solar PV-
battery-based micro-grid. The hybrid algorithm (BAPSO), which is a combination of Particle …
battery-based micro-grid. The hybrid algorithm (BAPSO), which is a combination of Particle …
RETRACTED ARTICLE: Enhanced bat algorithm for COVID-19 short-term forecasting using optimized LSTM
The highly infectious COVID-19 critically affected the world that has stuck millions of citizens
in their homes to avoid possible spreading of the disease. Researchers in different fields are …
in their homes to avoid possible spreading of the disease. Researchers in different fields are …
[PDF][PDF] Classification of Positive COVID-19 CT Scans Using Deep Learning.
In medical imaging, computer vision researchers are faced with a variety of features for
verifying the authenticity of classifiers for an accurate diagnosis. In response to the …
verifying the authenticity of classifiers for an accurate diagnosis. In response to the …
A computer‐aided diagnosis system using deep learning for multiclass skin lesion classification
In the USA, each year, almost 5.4 million people are diagnosed with skin cancer. Melanoma
is one of the most dangerous types of skin cancer, and its survival rate is 5%. The …
is one of the most dangerous types of skin cancer, and its survival rate is 5%. The …
A hybrid metaheuristic algorithm for identification of continuous-time Hammerstein systems
This paper presents a new hybrid identification algorithm called the Average Multi-Verse
Optimizer and Sine Cosine Algorithm for identifying the continuous-time Hammerstein …
Optimizer and Sine Cosine Algorithm for identifying the continuous-time Hammerstein …