Titlebook: New Approaches for Multidimensional Signal Processing; Proceedings of Inter Roumen Kountchev,Rumen Mironov,Kazumi Nakamatsu Conference proc

Oscillate

Multimodal Technique for Human Authentication Using Fusion of Palm and Dorsal Hand Veinsnd k-Nearest Neighbors (K-NN) classifier for matching operation. The database chosen was the CASIA Multi-Spectral Palmprint Image Database V1.0 and Bosphorus Hand Vein Database. The achieved result for the fusion of both biometric traits was Correct Recognition Rate (CRR) is 97.6% with FAlse Reject Rate (FRR) 2.4%.

存心

Image Recognition Technology Based Evaluation Index of Ship Navigation Risk in Bridge Areable environment characteristics of the bridge area. On the basis of ship track prediction, this paper studies the quantification of collision, grounding, hitting reef and collision risk and establishes the ship collision risk evaluation model.

搖晃

Obscure

Deep Learning 3D Convolutional Neural Networks for Predicting Alzheimer’s Disease (ALD) followed by deep learning classification which is the most powerful method to distinguish clinical data from healthy data in MRI. This approach also enables us to expand our methodology to predict more complicated systems.

perimenopause

Machine Learning Enabled Edge Computing: A Survey and Research Challengesnd present the motivation for machine learning enabled edge computing. And then the research issues of the machine learning enabled edge computing from the perspective of user side and network side are presented. Finally, the research challenges and future directions are presented.

recede

myriad

Masked Face Detection Using Artificial Intelligent Techniqueshe clustering approach i.e., Expectation Maximization with Gaussian Mixture Model (EM-GMM), in which facial regions are segmented into Eyes, Nose, Mouth, Chin, and Forehead. Then, CapsNet based Feature Extraction is performed using CapsNet approach, which performance is higher and lightweight model

Generator

Hierarchical Decomposition of Third-Order Tensor Through Adaptive Branched Inverse Difference Pyraminsor, and the processing continues in a similar way. The division of each sub-tensor stops when the so obtained new sub-tensors have at least one dimension equal to 2, or when all their coefficients are equal to zero. In this case, the initial tensor is represented as a tree-like graph, and the leng

招惹