Progress in Artificial Intelligence and Pattern Recognition
Springer International Publishing (Verlag)
978-3-031-49551-9 (ISBN)
The 68 papers presented in the proceedings set were carefully reviewed and selected from 38 submissions.
The IWAIPR conference aims to provide a leading international forum to promote and disseminate ongoing research into mathematical methods of computing techniques for Artifical Intelligence and Pattern Recognition.
Pattern Recognition and Applications.- Fuzzy Employees Shuttle Bus Routing Problem. A practical application.- Oversampling method based covariance matrix estimation in highdimensional imbalanced classification.- Multivariate Cuban Consumer Price Index database, statistic analysis and forecast baseline based on Vector Autoregressive.- Climatic factors that impact the consumption patterns tame of water. A case of study.- An M-SALD_AHP and GIS-based approach to watershed analysis during the development of small and large-scale hydraulic structure construction projects.- Fuzzy Granulation for Feature Extraction in EEG-based Stress Pattern Recognition.- A parallel approach for RegularSearch algorithm.- An improved fault diagnosis scheme based on a type-2 fuzzy classification algorithms.- A new proposal for detection and location of cyberattacks in industrial processes.- Computational capabilities of Adler oscillators under weak localKuramotolike coupling.- Echo State Networks for the prediction of chaotic systems.- Artificial Intelligence, Data Mining and Applications .- Weighted t-Distributed Stochastic Neighbor Embedding for Projection based Clustering.- Evaluation of XAI methods in a FinTech context.- Towards Automatic Principles of Persuasion Detection Using Machine Learning Approach.- Indirect condition monitoring of the transmission belts in a desalination plant by using deep learning.- A novel method for filtering a useful subset of composite linguistic summaries.- Harnessing key phrases in constructing a concept-based semantic representation of text using clustering techniques.- A Comparative Study of Deep Learning Methods for Brain Magnetic Resonance Image Reconstruction.- Improve Spanish Aspect-Based Opinion Mining Through Deep Learning Approach.- Semantic Features Extraction for Hybrid Approach of Emotion Recognition from Texts.- A Knowledge-Based User Feedback Classification Approach for Software Support.- A metaphorical text classifier to compare the use of RoBERTa-large, RoBERTa-base and BERT-base uncased.- Improvements to the IntiGIS model related to the clustering of consumers for rural electrification.- Diagnosis of Alzheimer Disease Progression Stage from Cross Sectional Cognitive Data by Deep Neural Network.- Robust MCU oriented KWS model for children robotic prosthetic hand control.- Detection of malicious bots using a proactive supervised classification approach.- Hybrid selection of breast cancer risk factors in Cuban patients.- Good Negative Sampling for Triple Classification.- Polarity Prediction in Tourism Cuban Reviews using Transformer with Estimation of Distribution Algorithms.- Biometrics, Image, Video and Signals Analysis and Processing.- SqueezerFaceNet: Reducing a Small Face Recognition CNN Even More Via Filter Pruning.- Drone navigation and license place detection for vehicle location in indoor spaces.- Comparison of root mean square index and Hilbert-Huang transform for detection of muscle activation in a person with elbow disarticulation.- MinimalAI: Brain Hemorrhage Detection in Images through Minimalist Machine Learning Approach.- Enhancing License Plate Recognition in Videos through Character-Wise Temporal Combination.- A comparison of some gradient threshold estimators for the Nonlinear Diffusion of Perona-Malik. A novel proposal to improve edge detection in mammography images.- Offline Writer Identification and Verification Evaluation Protocols for Spanish Database.- Authenticity assessment of Cuban banknotes by combining Deep Learning and Image Processing techniques.- A Robust Preprocessing Method for Measuring Image Visual Quality using Log-polar FFT Features.- Effectiveness of Blind Face Restoration to Boost Face Recognition Performance at Low-Resolution Images.-
| Erscheinungsdatum | 22.12.2023 |
|---|---|
| Reihe/Serie | Lecture Notes in Computer Science |
| Zusatzinfo | XXIX, 471 p. 173 illus., 124 illus. in color. |
| Verlagsort | Cham |
| Sprache | englisch |
| Maße | 155 x 235 mm |
| Gewicht | 765 g |
| Themenwelt | Informatik ► Grafik / Design ► Digitale Bildverarbeitung |
| Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
| Technik ► Elektrotechnik / Energietechnik | |
| Schlagworte | Artificial Intelligence • Biometric • Computer Science • Deep learning • Fuzzy process • Image and Video Processing • Instance-Based Learning • Natural Language Processing • Neural networks • Optimization • pattern recognition • Regularization • Rule-based learning • supervised learning • Unsupervised Learning |
| ISBN-10 | 3-031-49551-9 / 3031495519 |
| ISBN-13 | 978-3-031-49551-9 / 9783031495519 |
| Zustand | Neuware |
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