Hybrid Artificial Intelligent Systems
Springer International Publishing (Verlag)
978-3-031-74182-1 (ISBN)
This two-part proceedings volume constitutes the refereed proceedings of the 19th International Conference on Hybrid Artificial Intelligent Systems (HAIS 2024), held in Salamanca, Spain, during October 9-11, 2024.
The 52 full papers were carefully reviewed and selected from 112 submissions. They were organized in topical sections as follows:
Part I: Biomedical Applications, Data Mining and Decision Support Systems, Deep Learning, Evolutionary Computation and Optimization.
Part II: HAIS Applications, HAIS Energy Applications, Image and Text Processing, Reinforced Learning.
Biomedical Applications.- Surface EMG Profiling in Parkinsons Disease Advancing Severity Assessment with GCN SVM.- Batch balancing Improvement with Data Augmentation Techniques for Clinical Electroencephalographic Data.- The Third Codon Nucleotides Role in Genetic Recombination Within SARSCoV2 Spike Protein A Pilot Study.- Machine learning for the identification of biomarker and risk factors associated with depression in adult population Preliminary results on a small cohort.- Unveiling HIV1 U Sequences Shedding Light Through Transfer Learning on Genomic Spectrograms.- Model to early detection of autism spectrum disorder through opinion mining approach.- A Short Analysis of Hybrid Approaches in COVID19 for Detection and Diagnosing.- A Graph Neural Network with Multi head Attention for Universal Brain Disease Diagnosis from fMRI Images.- A computer vision approach to detect facial characteristics related to encephalopathy in term infants.- Data Mining and Decision Support Systems.- SPADE Norms a distributed general framework for normative multi agent systems.- Finding Optimal Classroom Arrangements to Minimize Cheating in Exams Using a Hybrid AI System.- Resilience to the Flowing Unknown an Open Set Recognition Framework for Data Streams.- A comparison procedure for the evaluation of metaheuristics.- Nyström and RFF Ensembles For Large Scale Kernel Predictions.- Application of transfer learning to online models in malware detection.- A New Training Algorithm for Support Vector Machines.- Soft Adaptive Segments for Bio Inspired Temporal Memory.- Assessing Generative Artificial Intelligence in Fundamental Physics with Gaussian Processes.- Implementation of Classical Decision Trees in a Quantum Computing paradigm.- Machine Learning methods as Robust Quantum Noise Estimators.- Deep Learning.- The Impact of Data Annotations on the Performance of Object Detection Models in Icon Detection for GUI Images.- Bayesian Model Selection Pruning in Predictive Maintenance.- Neonates crying detection through feature extraction and Machine Learning methods.- Differentiable Prototypes with Distributed Memory Network for Continual Learning.- Evolutionary Computation and Optimization.- Efficient Continuous Sign Language Recognition with Temporal Shift and Channel Attention.- Solving the clustered minimum routing tree problem using Prüfer coding based hybrid genetic algorithms.- Diversity Population Metrics in Diploid and Haploid Genetic Algorithm Variants.- Early failure detection for Air Production Unit in Metro Trains.
| Erscheinungsdatum | 10.10.2024 |
|---|---|
| Reihe/Serie | Lecture Notes in Artificial Intelligence | Lecture Notes in Computer Science |
| Zusatzinfo | XVII, 355 p. 98 illus., 87 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
| Schlagworte | Artificial Intelligence • Data Mining • evolutionary computation • Hybrid Intelligent Systems • IA applications • Neural networks • optimization techniques • Soft Computing • Visualization Techniques |
| ISBN-10 | 3-031-74182-X / 303174182X |
| ISBN-13 | 978-3-031-74182-1 / 9783031741821 |
| Zustand | Neuware |
| Informationen gemäß Produktsicherheitsverordnung (GPSR) | |
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