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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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Improved V-detector algorithm based on bagging for earthquake prediction with faults
With the highly nonlinear relationship between various seismic feature indicators and earthquakes, the researchers can hardly construct an earthquake...
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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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Optimizing U-Net CNN performance: a comparative study of noise filtering techniques for enhanced thermal image analysis
Infrared thermal imaging presents a promising avenue for detecting physiological phenomena such as hot flushes in animals, presenting a non-invasive...
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ASOD: an adaptive stream outlier detection method using online strategy
In the current era of information technology, blockchain is widely used in various fields, and the monitoring of the security and status of the...
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Sm-vsn-3c: a new Starlings model-based virtual sensor networks for coverage, connectivity, and data ccommunication
The study of continuous natural or industrial phenomena in time and space requires the emergence of new wireless sensor networks. A virtual sensor...
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Challenges for Non-Classical Reasoning in Contemporary AI Applications
In knowledge representation and reasoning, a key area in artificial intelligence research, non-classical logics play a prominent double role:...
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Deep Convolutional Neural Network with a Fuzzy (DCNN-F) technique for energy and time optimized scheduling of cloud computing
Self-adaptive deep learning techniques provide scalability and flexibility in deploying and administrating deep learning models in the cloud...
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Multi-attention gated temporal graph convolution neural Network for traffic flow forecasting
Real-time and accurate traffic flow forecasting plays a crucial role in transportation systems and holds great significance for urban traffic...
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VLSI implementation of an energy-efficient color image compressor using improved block truncation coding and enhanced Golomb-rice coding for wireless sensor networks
The very large-scale integration implementation of a unique hardware-oriented image compression technique for wireless sensor networks (WSNs) is...
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PULSE: Proactive uncovering of latent severe anomalous events in IIoT using LSTM-RF model
In the IIoT, billions of devices continually provide information that is extremely diverse, variable, and large-scale and presents significant...
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Challenges to Applying Role Playing in Software Engineering Education: A Taxonomy Derived from a Rapid Literature Review
Role Playing (RP) serves as an instructional approach to enrich the learning experience for students and boost their learning by the effective...
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Early Diagnosis of COVID-19 Disease by ChestNet Convolutional Neural Network from Chest Xray Images
In the absence of a vaccine, prompt isolation and medical care are necessary to prevent and contain the COVID-19 pandemic. This requires a quick and...
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Beyond the echo chamber: modelling open-mindedness in citizens’ assemblies
A Citizens’ assembly (CA) is a democratic innovation tool where a randomly selected group of citizens deliberate a topic over multiple rounds to...
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Neural Networks and the Nonlinear Feynman–Kac Theorem Applied to Financial Options Pricing
The classic financial market model proposed by Black and Scholes allows solving, under a series of simplifying assumptions, the problem of valuing...
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Cleaning ECG with Deep Learning: A Denoiser Tested in Industrial Settings
As the popularity of wearables continues to scale, a substantial portion of the population has now access to (self-)monitorization of cardiovascular...
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Diagnosing Dementia Disorder Detection Using an Improved Eliminate Particle Swarm Optimization (IEPSO) Based on Convolutional Neural Networks
Dementia is an un-repairable and continuous disease that affects a person's mental health. Symptoms of Dementia may vary from one person to another,...
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SymboleoPC: checking properties of legal contracts
Legal contracts specify requirements for business transactions. Symboleo was recently proposed as a formal specification language for legal...
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Guest editorial to the special section on PoEM’2022
This guest editorial presents the papers contributing to the 15th IFIP WG 8.1 Working Conference on the Practice of Enterprise Modelling (PoEM 2022)....
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Exploring behaviours of RESTful APIs in an industrial setting
A common way of exposing functionality in contemporary systems is by providing a Web-API based on the REST API architectural guidelines. To describe...
