Finger vein biometrics is an identification technique based on the patterns in fingers, and it has benefit of being difficult to counterfeit. Due its high level security, durability, performance history, finger recognition captures our attention as one most significant authentication methods available today. Using a mixed deep learning approach, we investigate challenge identifying sensor model...

Evaluation measures, objective and subjective, are used to assist users in finding interesting association rules. Objective measures are more general, but they can be insufficient because they do not consider user’s and domain features. However, getting user’s knowledge and interest needed to calculate subjective measures can be a difficult task. Thus, this work presents a methodology to identi...

Machine learning practitioners are often faced with a choice between a discriminative and a generative approach to modelling. Here, we present a model based on a hybrid approach that breaks down some of the barriers between the discriminative and generative points of view, allowing continuous dimensionality reduction of hybrid discretecontinuous data, discriminative classification with missing ...

Cellular-connected unmanned aerial vehicle (UAV) with flexible deployment is foreseen to be a major part of the sixth generation (6G) networks. The UAVs connected base station (BS), as users (UEs), could exploit machine learning (ML) algorithms provide wide range advanced applications, like object detection and video tracking. Conventionally, ML model training performed at BS, known centralized...

the hybrid fuzzy differential equations have a wide range of applications in science and engineering. we consider the problem of nding their numerical solutions by using a novel hybrid method based on fuzzy neural network. here neural network is considered as a part of large eld called neural computing or soft computing. the proposed algorithm is illustrated by numerical examples and the resu...