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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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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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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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Blind Color Image Watermarking Using Deep Artificial Neural Network Using Statistical Features
With increasing digital content over the internet it is very important to secure the digital contents in such a way that the identity and integrity...
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SKGDC: Effective Segmentation Based Deep Learning Methodology for Banana Leaf, Fruit, and Stem Disease Prediction
In agriculture, detecting plant diseases is crucial for optimal plant growth. Initially, input images are collected from three datasets: banana leaf...
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Predicting Apple Plant Diseases in Orchards Using Machine Learning and Deep Learning Algorithms
Apple cultivation in the Kashmir Valley is a cornerstone of the region’s agriculture, contributing significantly to the economy through substantial...
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A Game-Based Cognitive Intervention for Young Learners with Reading Difficulties
The study’s primary contribution is a game-based cognitive intervention tool for young learners with reading difficulties. The second contribution is...
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A comparative study of software defect binomial classification prediction models based on machine learning
As information technology continues to advance, software applications are becoming increasingly critical. However, the growing size and complexity of...
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An Experimental Evaluation of Summarisation-Based Frequent Subgraph Mining for Subgraph Searching
The subgraph searching is a fundamental operation for the analysis and exploration of graphs. Nowadays, molecular databases are nearing close to one...
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Design smells in multi-language systems and bug-proneness: a survival analysis
Modern applications are often developed using a combination of programming languages and technologies. Multi-language systems offer opportunities for...
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What causes exceptions in machine learning applications? Mining machine learning-related stack traces on Stack Overflow
Machine learning (ML), including deep learning, has recently gained tremendous popularity in a wide range of applications. However, like traditional...
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Integrated multi-view modeling for reliable machine learning-intensive software engineering
Development of machine learning (ML) systems differs from traditional approaches. The probabilistic nature of ML leads to a more experimentative...
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Predicting the Acceptance of Metaverse for Educational Purposes in Universities: A Structural Equation Model and Mediation Analysis of the Extended Technology Acceptance Model
This study investigated factors that predict the acceptance of metaverse applications for educational usage among university students from the facet...
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Decomposition-based long short-term memory model for price forecasting of agricultural commodities
Accurate and reliable price forecasting of agricultural commodities is one of the research hotspots, as these prices are inherently complex and...
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Virtual Machine Provisioning Within Data Center Host Machines Using Ensemble Model in Cloud Computing Environment
In the digital age of exponential data proliferation and growing computing demands, efficient resource management within data centers is crucial. A...
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Predictive Assessment of the Interior Quality of Apartments Based on Multimodal Data with Variable Visual Input
Multimodal analyses in the context of automated real estate valuation (AVM) offer the possibility of enriching the models with additional...
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A Semiautomatic Image Processing-Based Method for Binary Segmentation of Lungs in Computed Tomography Images
Precise biomedical image segmentation is pivotal in medical diagnosis and treatment. Among various methodologies, image processing-based techniques...
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On preferences and reward policies over rankings
We study the rational preferences of agents participating in a mechanism whose outcome is a ranking (i.e., a weak order) among participants. We...
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Project Report: Requirements for a Social Robot as an Information Provider in the Public Sector
Is it possible to integrate a humanoid social robot into the work processes or customer care in an official environment, e.g. in municipal offices?...
