Applied Machine Learning and Data Analytics
Springer International Publishing (Verlag)
978-3-031-34221-9 (ISBN)
Deep Learning Methods to Automate Embryo Classification and Evaluation.- Univariate feature fitness measures for classification problems: An empirical assessment.- Securing Advanced Metering Infrastructure using Blockchain for Effective Energy Trading.- Keratoconus Classification using Feature Selection and Machine Learning Approach.- Semantic Segmentation of The Lung to Examine the Effect of COVID-19 using UNET Model.- SMDKGG: A Socially Aware Meta Data Driven Knowledge Graph Generation for Disaster Tweets.- Brain MRI Image Classification using Deep Learning.- A Real Time Face Recognition Attendance using Machine Learning.- Towards abalone differentiation through machine learning.- Better Qualitative Searching for Effecting the Performance of Machine Translation.- RU-Net: A Novel Approach for Gastro-Intestinal Tract Image Segmentation using Convolutional Neural Network.- A credit card fraud detection model using machine learning methods with a hybrid of undersampling and oversampling for handling imbalanced datasets for high scores.- Implementation of YOLOv7 Model for Pest Detection.- Online Grocery Shopping: - Key Factors to Understand Shopping Behavior from Data Analytics Perspective.- A novel approach: Semantic web enabled subject searching for Union Catalogue.- How People in South America is Facing Monkeypox Outbreak?.- Multi-level Classification of Satellite Images using Pre-trained AlexNet Architecture.- Handwriting Recognition for Predicting Gender and Handedness using Deep Learning.- Handwriting Recognition for Predicting Gender and Handedness using Deep Learning.- Performance evaluation of Smart Flower Optimization Algorithm over Industrial Non-Convex Constrained Optimization Problems.
Erscheinungsdatum | 28.05.2023 |
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Reihe/Serie | Communications in Computer and Information Science |
Zusatzinfo | XII, 242 p. 113 illus., 94 illus. in color. |
Verlagsort | Cham |
Sprache | englisch |
Maße | 155 x 235 mm |
Gewicht | 397 g |
Themenwelt | Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik |
Schlagworte | 3D modelling • Artificial Intelligence • augmented reality • computer vision • Data Mining • Digital heritage • digital humanities • Digital Libraries • Image Processing • Information Retrieval • Neural networks • Software Design • Software engineering |
ISBN-10 | 3-031-34221-6 / 3031342216 |
ISBN-13 | 978-3-031-34221-9 / 9783031342219 |
Zustand | Neuware |
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