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Formative semi-supervised learning based on adaptive combined model for brain–computer interface
The recognition of Electroencephalogram (EEG) signals has been an important research field in Brain–computer interface. The semi-supervised...
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Spectral–spatial discriminative broad graph convolution networks for hyperspectral image classification
Graph convolutional networks (GCN) can provide excellent performance in hyperspectral image classification due to their ability to capture feature...
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Design of a Crisis Management System for Universities Based on Wireless Sensor Heterogeneous Scheduling and Machine Learning
In the management of colleges and universities, the occurrence of crisis may have a serious impact on the security and stability of the university....
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Machine Learning Algorithms for Power System Sign Classification and a Multivariate Stacked LSTM Model for Predicting the Electricity Imbalance Volume
The energy transition to a cleaner environment has been a concern for many researchers and policy makers, as well as communities and non-governmental...
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Intelligent Multiple Diseases Prediction System Using Machine Learning Algorithm
As a result of their surroundings and lifestyle choices, people nowadays suffer from a wide range of ailments. As a result, predicting illness at an...
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Learning of Embedded System for Incorporating: Organization
In a number of disciplines and applications embedded systems now play an essential role, such as network embedded systems, real-time embedded systems...
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Revitalizing Arabic Character Classification: Unleashing the Power of Deep Learning with Transfer Learning and Data Augmentation Techniques
Deep learning techniques have demonstrated remarkable success in various domains, including character classification tasks. However, the performance...
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Hybrid hierarchical learning for solving complex sequential tasks using the robotic manipulation network ROMAN
Solving long sequential tasks remains a non-trivial challenge in the field of embodied artificial intelligence. Enabling a robotic system to perform...
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Simulation Study on Civil Aviation Human Reliability Learning from Incidents Using System Dynamics
Flight safety is the foundation and guarantee of the sustainable development of the civil aviation industry. With the continuous development of the...
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Defect detection of small cotter pins in electric power transmission system from UAV images using deep learning techniques
The detection of defects on small cotter pins that are installed in electric power fittings is an essential part of the inspection task of overhead...
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Meta-Health: Learning-to-Learn (Meta-learning) as a Next Generation of Deep Learning Exploring Healthcare Challenges and Solutions for Rare Disorders: A Systematic Analysis
In clinical scenarios, the two subfields of Artificial Intelligence (AI), i.e., Machine Learning (ML) and Deep Learning (DL) methods have become the...
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Application of Machine Learning and Deep Learning in Finite Element Analysis: A Comprehensive Review
AbstractMachine learning (ML) has evolved as a technology used in even broader domains, ranging from spam detection to space exploration, as a result...
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A survey of machine learning techniques for improving Global Navigation Satellite Systems
Global Navigation Satellite Systems (GNSS)-based positioning plays a crucial role in various applications, including navigation, transportation,...
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Maximum diffusion reinforcement learning
Robots and animals both experience the world through their bodies and senses. Their embodiment constrains their experiences, ensuring that they...
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iTeach: A User-Friendly Learning Management System
Electronic learning offers various learning methodologies through leveraging the Internet and computer network across the globe. This technological...
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Learning-Based Cryptography
Machine learning technologies have seen a broad variety of applications in recent years. Nonetheless, the use of machine learning in the fields of...
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Transfer Accent Identification Learning for Enhancing Speech Emotion Recognition
Emotional speech has some dependency on language or within a language itself, there are certain variations due to accents. The presence of accents...
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Deep Learning Based for Cryptocurrency Assistive System
Cryptocurrency is branded as a digital currency, an alternative exchange currency system with significant ramifications for the economies of rising...
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Cervical cancer diagnosis using convolution neural network: feature learning and transfer learning approaches
Cervical Cancer most often affects women and is a feared disease worldwide. It occurs due to the abnormal growth of cells in the cervix and slowly...
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Domain adversarial neural network-based nonlinear system identification for helicopter transmission system
Helicopter transmission system identification provides model support for fault diagnosis, health monitoring, controller design and so on. The great...
