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An ensemble of self-supervised teachers for minimal student model with auto-tuned hyperparameters via improved Bayesian optimization
Due to a growing demand for efficient deep learning models capable of both high performance and reduced costs in terms of computation, model...
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An effective underground image enhancement approach based on improved KinD network
Mine images often have problems such as unclear details and low miner-background contrast due to lighting issues, and traditional enhancement methods...
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DML-YOLOv8-SAR image object detection algorithm
Given the challenges posed by noise and varying target scales in SAR images, conventional convolutional neural networks often underperform in SAR...
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Nature inspired recommendation with path optimization for online social network communities
Human sentiment prevalent in online dialogues largely governs the formation of communities in online social networks. These recommendation methods...
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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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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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Transfer learning for emotion detection in conversational text: a hybrid deep learning approach with pre-trained embeddings
Understanding the emotions and sentiments from conversations has relevance in many application areas. Specifically, conversational agents,...
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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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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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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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Attention-enhanced UNet and gradient boosting decision tree for objective evaluation of fabric pilling grade based on image analysis
Fabric pilling can significantly affect the usability and appearance of fabrics; making the evaluation of pilling grades a crucial aspect of textile...
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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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Delineation of ECG waveform components using encoder-decoder architecture with Postprocess algorithm
With the exponential increase in heart disease cases, it is essential to construct models (algorithms) that can be used to delineate...
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Energy efficient dynamic resource allocation in C-RAN using tunicate swarm and whale optimization algorithm
In Cloud radio access network (C-RAN) architecture, the signals are processed through cloud-computing method where the baseband units (BBUs) of all...
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A semi-supervised video dehazing method based on CNNs
Recently, image dehazing methods based on deep learning have achieved good results, but most of them are aimed at synthetic hazy images that have...
