IIETA | Advancing the World of Information and Engineering

A Multi-Feature Motion Posture Recognition Model Based on Genetic Algorithm

Efficient Multi-Organ Multi-Center Cell Nuclei Segmentation Method Based on Deep Learnable Aggregation Network

An Object Detection Framework Based on Deep Features and High-Quality Object Locations

Brain Tumor Detection Based on Features Extracted and Classified Using a Low-Complexity Neural Network

Analysis Methods Used to Extract Fingerprints Features

Throughput Optimization of Parallel Sensing and Energy Harvesting Cognitive Radio Network

A Deep Learning-Based Approach in Classification and Validation of Tomato Leaf Disease

A Novel Multi-Level Pyramid Co-Variance Operators for Estimation of Personality Traits and Job Screening Scores

Identification and Analysis of Limb Rehabilitation Signal Based on Wavelet Transform

Implementation of Artifact Removal Algorithms in Gait Signals for Diagnosis of Parkinson Disease

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