IIETA | Advancing the World of Information and Engineering

Classification and Analysis of Parkinson’s Disease Based on Gabor and Wavelet Filters

A Deep Learning Approach for Water Quality Assessment: Leveraging Gated Linear Networks for Contamination Classification

Automatic Modulation Recognition for Optimization Digital Communication Signals by the Spotted Hyena Optimizer

Optimizing Microservices Performance and Scalability Through Automated Monitoring with Kubernetes and Prometheus

Classification of Parkinson's Disease Using Recurrent Convolutional Transformers

Evaluating Machine Learning Performance and Consumer Sentiments on E-Commerce Platforms: A Comprehensive Twitter Analysis of Amazon

Advanced Optimized Quantum Learning for Robust Water Quality Assessment with an IoT Sensor Data

Factors Influencing the Intention to Reuse Self-Service Technology in Fast Food Restaurants: Integration of Delone Mclean and Stimulus-Organism-Response

Encoder-Decoder Architectures for Crack Detection on Surfaces: A Deep Learning Approach

Automatic Alzheimer's Disease Detection Based on Deep Learning Models

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