Übersicht			Auf mobile öffnen

Lieferstatus:	i.d.R. innert 7-14 Tagen versandfertig
Veröffentlichung:	April 2024
Genre:	EDV / Informatik
	Applications / computerscience / ConferenceProceedings / Informatics / Research
ISBN:	9783031579189
EAN-Code:	9783031579189
Verlag:	Springer
Einband:	Gebunden
Sprache:	English
Dimensionen:	H 241 mm / B 160 mm / D 19 mm
Gewicht:	530 gr
Seiten:	240
Bewertung:	Titel bewerten / Meinung schreiben

Inhalt:

.- Early Anomaly Detection in Hydraulic Pumps Based on LSTM Traffic Prediction Model. .- Dynamic Parameter Estimation for Mixtures of Plackett-Luce Models. .- Recognition of Signal Modulation Pattern Based on Multi-Task Self-Supervised Learning. .- Dependency-Type Weighted Graph Convolutional Network on End-to-End Aspect-Based Sentiment Analysis. .- Utilizing Attention for Continuous Human Action Recognition Based on Multimodal Fusion of Visual and Inertial. .- HARFMR: Human Activity Recognition with Feature Masking and Reconstruction. .- CAPPIMU: A Composite Activities Dataset for Human Activity Recognition Utilizing Plantar Pressure and IMU Sensors. .- Open-Set Sensor Human Activity Recognition Based on Reciprocal Time Series. .- Image Understanding. .- A Concept-Based Local Interpretable Model-agnostic Explanation Approach for Deep Neural Networks in Image Classification. .- A Deep Neural Network-based Segmentation Method for Multimodal Brain Tumor Images. .- Graph Convolutional Networks for Predicting Mechanical Characteristics of 3D Lattice Structures. .- 3D Object Reconstruction with Deep Learning. .- Adaptive Prototype Triplet Loss for Cross-Resolution Face Recognition. .- Hand Gesture Recognition Using a Multi-modal Deep Neural Network.