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Artificial Intelligence and Soft Computing 22nd International Conference, ICAISC 2023, Zakopane, Poland, June 18-22, 2023, Proceedings, Part II için kapak resmi
Başlık:
Artificial Intelligence and Soft Computing 22nd International Conference, ICAISC 2023, Zakopane, Poland, June 18-22, 2023, Proceedings, Part II
Yazar:
Rutkowski, Leszek. editor.
ISBN:
9783031425080
Basım Bilgisi:
1st ed. 2023.
Fiziksel Tanımlama:
XIX, 416 p. 157 illus., 126 illus. in color. online resource.
Seri:
Lecture Notes in Artificial Intelligence, 14126
İçerik:
Computer Vision, Image and Speech Analysis -- A novel ConvMixer transformer based architecture for violent behavior detection -- Speech Emotion Recognition: Recent Advances and Current Trends -- A Smartphone-Based Computer Vision Assistance System with Neural Network Depth Estimation for the Visually Impaired -- Hybrid Learning Model for Satellite Forest Image Segmentation -- Adaptive Pruning for Multi-Head Self-Attention -- Fast Visual Imperfection Detection When Real Negative Examples are Unavailable -- Vision-Based Mobile Robots Control Along a Given Trajectory -- Text Guided Facial Image Synthesis using StyleGAN and Variational Autoencoder trained CLIP -- Application of object detection models for the detection of kitchen furniture - A comparison -- Support Learning Vovinam Exercises based on Computer Vision -- Semantic Segmentation Neural Network in Automatic Weapon Detection -- Various Problems of Artificial Intelligence -- An Application of Fuzzy Techniques to Predict the Polymorphism of Selected Microsatellite Sequences -- Monte Carlo Tree Search with metaheuristics -- Phishing Attack Detection: An Improved Performance through Ensemble Learning -- Removing Ambiguity in Natural Language for Generating Self Join Queries -- Predicting Churn Rate in Companies -- Training set preparation for deep model learning inpatients with ischemic brain lesions and gender identity disorder -- From Simulated to Real Environments: Q-Learning for MAZENavigation of a TurtleBot -- Bioinformatics, Biometrics and Medical Applications -- 3D Reconstructions of Brain from MRI Scans Using Neural Radiance Fields -- Exploring target identification with K-nearest neighbors' algorithm -- Computational models for COVID-19 dynamics prediction -- Electrochemical Biosensor Design through Data-Driven Modeling incorporating Meta-analysis and Big Data workflow -- A new method of verification of dynamic signatures changing over time with decomposition and selection of characteristic descriptors -- Impact of the pre-processing and balancing of EEG data on the performance of graph neural network for epileptic seizure classification -- A new rebinning reconstruction method for the low dose CT scanners with flying focal spot -- Data Mining and Pateern Classification -- Advancing Singular Value Decomposition Techniques for Enhanced Data Mining in Recommender Systems -- An experimental analysis on mapping strategies for cepstral coefficients multi-projection in voice spoofing detection problem -- Mining Correlated High-Utility Itemsets using the Cosine Measure -- Bayesian Inference in Infinite Multivariate McDonald's Beta Mixture model -- Cannabis Use Estimators within Canadian Population using Social Media Based on Deep Learning Tools -- On the Bayesian interpretation of penalized statistical estimators -- Synthetic Data for Feature Selection -- ML Support For Conformity Checks in CMDB-Like Databases -- An Improvement of Graph Neural Network for Multi-behavior Recommendation -- Binary Matrix Factorization Discretization -- Combining linear classifiers using score function based on distance to decision boundar.
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