A novel approach of multi-string parsing for syntactic pattern recognition
Hollow n-grams vectorizer for Natural Language Processing problems
A non-deep approach to classifying movie genres based on multimodal data
Incremental Extreme Learning Machine for Binary Data Stream Classification
Interpreting Intrusions - The Role of Explainability in AI-based Intrusion Detection System
Real-time deformation of three-dimensional volumetric models using mesh models
Hyperparameters Optimization using GridSearchCV Method for TinyML models
Analysis of the Possibility to Employ Relationship Between the Problem Complexity and the Classification Quality as Model Optimization Proxy
Deep Learning for pit detection in cherries
Image analysis system for augmented reality games
Coregistration of selected sequences in MRI imaging based on edge analysis of image difference
Actinic Keratosis Prediction Based on Deep Learning Methods
A New Assessment of Convolutional Neural Networks for Texture Directionality Detection
Knowledge Distillation with Relative Representations for Image Representation Learning
An Approach for CT Image Conversion Using Filtering Based on Quaternion Mathematics
Exploring Text-Guided Synthetic Distribution Shifts for Robust Image Classification
Color Tracking Application Using AI-based Docker Container Scheduling in Fog Computing
Air pollution monitoring and information distribution system
Detection of conspiracy theories from tweets using NLI-based Zero Shot Text Classification models
Battery management system for Polish hybrid residential photovoltaic power plants
Document Annotation Tool For News Content Analysis
Dynamic time warping technique applied to the users intent recognition for myoelectric-based control of upper limb prosthesis
A Hybrid Long Short-Term Memory Network Based on Wind and Rain Sensitive and its Application to PM2.5 Prediction.