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Correlated time-window constrained high-utility itemsets mining with certain and uncertain real-life datasets
High-utility Itemsets mining (HUIM) plays a crucial role in extracting valuable patterns from transaction data, aiding decision-making across...
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Isolated word recognition based on a hyper-tuned cross-validated CNN-BiLSTM from Mel Frequency Cepstral Coefficients
Speech Recognition(SR) is a challenging task because existing models expect their users from different geographies to have the same level of...
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SFI-Swin: symmetric face inpainting with swin transformer by distinctly learning face components distributions
Image inpainting consists of filling holes or missing parts of an image. Inpainting face images with symmetric characteristics is more challenging...
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Enhancing of polyp image segmentation in colonoscopy images: a comprehensive approach using modified UNet, hybrid color space, and ensemble learning
Polyp detection in its early stages can reduce the risk of colorectal cancer. Utilizing colonoscopy image segmentation enables expedited polyp...
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A low-cost UWB microwave imaging system for early-stage breast cancer detection
In this paper, a modern and effective approach with high resilience for microwave imaging of breast tumor detection using 12 antennas is presented....
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Electronic health records protection strategy by using blockchain approach
Electronic health records (EHRs) provide significant challenges for medical organizations due to the digitalization of traditional medical...
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A Transfer-Based Deep Learning Model for Persian Emotion Classification
Sentiment analysis is the technical process of analyzing generated data to detect emotions. Emotion detection in text data involves identifying the...
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Autism detection in children based on facial image data using RPY axial facial features and Dual Phase Net model
Autism Spectrum Disorder (ASD) causing problems in social interaction and communication. Numerous studies for detecting autism in children result in...
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An oversampling method for imbalanced dataset based on sparsity and boundary degree
In order to improve the classification accuracy of minority samples in imbalanced dataset, we proposed a novel oversampling method, HRSB-SMOTE...
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Enhancing sustainable 5G powered agriculture 4.0 : Summary of low power connectivity, internet of UAV things, AI solutions and research trends
Emerging technologies of Agriculture 4.0 such as the Internet of Things (IoT), Cloud Computing, Artificial Intelligence (AI), and 5G network services...
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A vision-based hybrid ensemble learning approach for classification of gait disorders
Computer vision-based (VB) gait analysis has become the popular platform for detecting Knee Osteoarthritis (KOA) and Parkinson’s disease (PD). The...
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Selfredepth
Depth maps produced by consumer-grade sensors suffer from inaccurate measurements and missing data from either system or scene-specific sources....
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Cancelable fingerprint template protection based on random quantization and improved bloom filter
Improving privacy and security in biometric systems requires addressing vulnerabilities in existing cancelable fingerprint templates based on bloom...
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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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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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AN efficient deep learning with an optimization framework to analyse the eeg signals
Electroencephalogram (EEG) signals can offer a mode to communicate with the humans and outside world. Also, the human brain is negatively affected...
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Prompt-optimized self-supervised double-tower contextualized topic model
Microblog has a large amount of data and is updated quickly with current events. Unsupervised machine learning models are used for the topic...
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FLBC-IDS: a federated learning and blockchain-based intrusion detection system for secure IoT environments
The development of the Internet of Things (IoT) in multiple sectors has led to substantial security issues due to its decentralized structure and...
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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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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...
