136 publication(s) trouvée(s)
Article scientifique
An efficient enhanced exponential distribution optimizer: applications in global, engineering, and combinatorial optimization problems
Abstract This paper introduces an enhanced exponential distribution optimizer (EDO), termed the exponential distribution optimizer with Levy flight orthogonal learning …
Article scientifique
Ulnar variance detection from radiographic images using deep learning
Abstract Ulnar variance is a relative length difference in the wrist between the ulna and radius bones. It is a …
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Enhancing the performance of gradient boosting trees on regression problems
Abstract Gradient Boosting Trees (GBT) is a powerful machine learning technique that is based on ensemble learning methods that leverage …
Article scientifique
Efficient surface crack segmentation for industrial and civil applications based on an enhanced YOLOv8 model
Abstract Crack segmentation is essential for preventive maintenance in various civil and industrial applications. It makes it possible to identify …
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A systematic review of AI-enhanced techniques in credit card fraud detection
Abstract The rapid increase of fraud attacks on banking systems, financial institutions, and even credit card holders demonstrate the high …
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Advances in ECG and PCG-based cardiovascular disease classification: a review of deep learning and machine learning methods
Abstract Cardiovascular diseases (CVD) have been found to be prevalent in society, frequently ending in death. According to the findings …
Article scientifique
Machine learning and deep learning models based grid search cross validation for short-term solar irradiance forecasting
Abstract In late 2023, the United Nations conference on climate change (COP28), which was held in Dubai, encouraged a quick …
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Optimizing poultry audio signal classification with deep learning and burn layer fusion
Abstract This study introduces a novel deep learning-based approach for classifying poultry audio signals, incorporating a custom Burn Layer to …
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Amharic spoken digits recognition using convolutional neural network
Abstract Spoken digits recognition (SDR) is a type of supervised automatic speech recognition, which is required in various human–machine interaction …
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Gene selection via improved nuclear reaction optimization algorithm for cancer classification in high-dimensional data
Abstract RNA Sequencing (RNA-Seq) has been considered a revolutionary technique in gene profiling and quantification. It offers a comprehensive view …
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Big data resolving using Apache Spark for load forecasting and demand response in smart grid: a case study of Low Carbon London Project
Abstract Using recent information and communication technologies for monitoring and management initiates a revolution in the smart grid. These technologies …
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Adapting transformer-based language models for heart disease detection and risk factors extraction
Abstract Efficiently treating cardiac patients before the onset of a heart attack relies on the precise prediction of heart disease. …
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An adaptive hybrid african vultures-aquila optimizer with Xgb-Tree algorithm for fake news detection
Abstract Online platforms and social networking have increased in the contemporary years. They are now a major news source worldwide, …
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Federated Freeze BERT for text classification
Abstract Pre-trained BERT models have demonstrated exceptional performance in the context of text classification tasks. Certain problem domains necessitate data …
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A novel approach for detecting deep fake videos using graph neural network
Abstract Deep fake technology has emerged as a double-edged sword in the digital world. While it holds potential for legitimate …
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Hybrid wrapper feature selection method based on genetic algorithm and extreme learning machine for intrusion detection
Abstract Intrusion detection systems play a critical role in the mitigation of cyber-attacks on the Internet of Things (IoT) environment. …
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A machine learning-based credit risk prediction engine system using a stacked classifier and a filter-based feature selection method
Abstract Credit risk prediction is a crucial task for financial institutions. The technological advancements in machine learning, coupled with the …
Article scientifique
Cyberattack detection in wireless sensor networks using a hybrid feature reduction technique with AI and machine learning methods
Abstract This paper proposes an intelligent hybrid model that leverages machine learning and artificial intelligence to enhance the security of …
Article scientifique
A novel intelligent approach for flight delay prediction
Abstract Flight delay prediction is one of the most significant components of intelligent aviation systems that may spread throughout the …
Article scientifique
EXABSUM: a new text summarization approach for generating extractive and abstractive summaries
Abstract Due to the exponential growth of online information, the ability to efficiently extract the most informative content and target …