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Augmenting Cervical Cancer Analysis with Deep Learning Classification and Topography Selection Using Artificial Bee Colony Optimization
According to the research and study, cervical cancer has risen to develop the fourth most communal malignancy to strike women. Five different forms...
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DyHANE: dynamic heterogeneous attributed network embedding through experience node replay
With real-world network systems typically comprising a large number of interactive components and inherently dynamic, Graph Continual Learning (GCL)...
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Extracting Stock Predictive Information in Mutual Fund Managers’ Portfolio Decisions Through Machine Learning with Hypergraph
This paper proposes a machine learning framework that incorporates mutual fund managers’ portfolio decisions to predict stock price movements. It...
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Multimedia Educational System and its Improvement Using AI Model for a Higher Education Platform
In the world of technology today, the hardware, applications, and online computing service have transformed instructional approaches and classroom...
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Deep learning and embeddings-based approaches for keyphrase extraction: a literature review
Keyphrase extraction is a subtask of natural language processing referring to the automatic extraction of salient terms that semantically capture the...
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Breaking boundaries: Enhancing dance learning through virtual reality innovation
Virtual Reality technology (VRT) has rapidly evolved in recent years, revolutionizing various industries by providing immersive and interactive...
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Enhancing Forecasting Accuracy with a Moving Average-Integrated Hybrid ARIMA-LSTM Model
This research provides a time series forecasting model that is hybrid which combines Long Short-Term Memory (LSTM) and Autoregressive Integrated...
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Taxonomy of deep learning-based intrusion detection system approaches in fog computing: a systematic review
The Internet of Things (IoT) has been used in various aspects. Fundamental security issues must be addressed to accelerate and develop the Internet...
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Promoting students’ civic literacy and positive learning behaviors: A supportive feedback-based decision-making gaming approach
Enhancing students’ civic literacy is considered an essential educational goal in the 21st century. Therefore, in the teaching process, how to...
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MS-EAR: A mobile sink based energy aware routing technique for SDN enabled WSNs
The paradigm of sensor networks involves connecting wireless electronic devices through small sensor nodes to gather and sense surrounding...
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An intelligent system for providing academic advising and its impact on satisfaction and stress relief in the light of crises (COVID-19) among postgraduate students
This article explores the potential of artificial intelligence (AI) for academic advising. Specifically, it examines how AI-powered machine...
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Impact of question presence and interactivity in instructional videos on student learning
Empirical evidence has consistently shown that interactive questions are an effective strategy for strengthening student learning through...
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Factors that predict teachers’ intentions to utilize emerging technologies: An investigation using PLS-SEM
Emerging technologies in education, such as wearable devices, tangible user interfaces, virtual reality, augmented reality, and robotics can support...
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Iterative missing value imputation based on feature importance
Many datasets suffer from missing values due to various reasons, which not only increases the processing difficulty of related tasks but also reduces...
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VAE-GNA: a variational autoencoder with Gaussian neurons in the latent space and attention mechanisms
Variational autoencoders (VAEs) are generative models known for learning compact and continuous latent representations of data. While they have...
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An integrated MCDM-based charging scheduling in a WRSN with multiple MCs
Recently, a few Multi-Criteria Decision Making (MCDM)-based charging scheduling schemes have been proposed. However, these schemes have still...
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Downscaling spatial interaction with socioeconomic attributes
A variety of complex socioeconomic phenomena, for example, migration, commuting, and trade can be abstracted by spatial interaction networks, where...
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A multi-source heterogeneous medical data enhancement framework based on lakehouse
Obtaining high-quality data sets from raw data is a key step before data exploration and analysis. Nowadays, in the medical domain, a large amount of...
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DQN-PACG: load regulation method based on DQN and multivariate prediction model
Demand response plays a pivotal role in modern smart grid systems, aiding in balancing energy consumption. However, the increasing energy demands of...
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LightCapsGNN: light capsule graph neural network for graph classification
Graph neural networks (GNNs) have achieved excellent performances in many graph-related tasks. However, they need appropriate pooling operations to...
