136 publication(s) trouvée(s)
Article scientifique
Indexing meets machine learning: a systematic literature review of learned indexes
Abstract Learned index structures use machine learning models, rather than traditional algorithmic data structures, to optimize database indexing performance. This …
Article scientifique
Deep learning-enabled hybrid sensor network for intelligent underwater monitoring
Abstract The increasing prevalence of marine pollution and the escalating impacts of climate change have intensified the need for advanced …
Article scientifique
A hybrid deep learning–blockchain framework for reliable fraud detection: a big data–driven approach for real-time FinTech systems
Abstract The rapid growth of FinTech systems requires efficient fraud detection mechanisms capable of processing large-scale financial transactions in real …
Article scientifique
A real-time multimodal framework for driver behavior recognition using transformer and reinforcement learning
Abstract Advanced Driver-Assistance Systems (ADAS) and other in-vehicle technologies often fail to capture critical indicators of unsafe driver behavior, such …
Article scientifique
Content-driven cyber community identification using deep learning
Abstract Cyber communities often lack clear geographic or formal boundaries, which makes them difficult to characterize and compare using traditional …
Article scientifique
EPOBPA: Extensible Parallelizable Optimized Buddy Prima Algorithm
Abstract Data is the growing new natural resource; in today’s world many organizations have a vast amount of data and …
Article scientifique
Robust metaheuristic algorithms with sequential replacement-improved dynamic population for optimizing energy consumption in a UAV-empowered IoT data collection system
Abstract Recently, minimizing energy consumption in UAV-enabled IoT data collection (UIDC) systems by optimizing UAV deployment has attracted significant attention …
Article scientifique
Exploring differential privacy in CNNs, LSTMs, GRUs, and RNNs for heartbeat detection from multimodal data
Abstract Machine learning techniques in healthcare applications have seen rapid growth. However, the use of sensitive health data raises significant …
Article scientifique
From chaos to clarity: unraveling credit card fraud with BGVOA-LS
Abstract Credit card fraud (CCF) continues to cause significant financial losses worldwide, costs institutions and consumers billions of dollars each …
Article scientifique
BlueEdge: application design for big data cleaning processing using mobile edge computing environments
Abstract With the rapid growth of the Internet of Things (IoT) and the emergence of big data, handling massive amounts …
Article scientifique
A deep learning-based framework for large-scale plant disease detection using big data analytics in precision agriculture
Abstract Wheat and corn are essential crops for global food security, but wheat yellow rust and the corn northern leaf …
Article scientifique
Advancing multimodal emotion recognition in big data through prompt engineering and deep adaptive learning
Abstract Emotion recognition in dynamic and real-world environments presents significant challenges due to the complexity and variability of multimodal data. …
Article scientifique
Optimization of EEG-based wheelchair control: machine learning, feature selection, outlier management, and explainable AI
Abstract Classifying Electroencephalogram (EEG) signals for wheelchair navigation presents significant challenges due to high dimensionality, noise, outliers, and class imbalances. …
Article scientifique
Intelligent text similarity assessment using Roberta with integrated chaotic perturbation optimization techniques
Abstract Precisely evaluating text similarity remains a fundamental challenge in Natural Language Processing (NLP), with widespread applications in plagiarism detection, …
Article scientifique
Integrating deep learning and transfer learning: optimizing white blood cells classification in medical educational institutions
Abstract White blood cells (WBCs) play a crucial role in the immune system, protecting the body from infections and foreign …
Article scientifique
Identifying key genetic variants in Alzheimer’s disease progression using Graph Convolutional Networks (GCN) and biological impact analysis
Abstract Alzheimer’s disease (AD) involves complex genetic interactions that remain challenging to model computationally. We present a novel deep learning …
Article scientifique
Multi strategy Horned Lizard Optimization Algorithm for complex optimization and advanced feature selection problems
Abstract Feature selection (FS) is a critical process in classification tasks within artificial intelligence, aimed at identifying a minimal yet …
Article scientifique
Particle swarm optimization with YOLOv8 for improved detection performance of tomato plants
Abstract Identification and precise classification of plants are crucial in improving plant quality and economic viability, particularly in an industrial …
Article scientifique
Comprehensive review of federated learning challenges: a data preparation viewpoint
Abstract Machine learning model accuracy, generalization, and reliability are greatly affected by the training data quality. High-quality data-characterized by completeness, …
Article scientifique
Enhanced Binary Kepler Optimization Algorithm for effective feature selection of supervised learning classification
Abstract This study proposes an Enhanced Binary Kepler Optimization Algorithm (BKOA-MUT) improves feature selection (FS) by integrating Kepler’s planetary motion …
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