The information bottleneck principle was recently proposed as a theory meant to explain some of the training dynamics deep neural architectures. Via plane analysis, patterns start emerge in this framework, where two phases can be distinguished: fitting and compression. We take step further study behaviour spatial entropy characterizing layers convolutional networks (CNNs), relation theor...

It is one of the biggest challenges to land an unmanned aerial vehicle (UAV). Landing it by making its own decisions almost impossible even if progress has been made in developing deep learning algorithms, which are doing a great job Artificial Intelligence sector. But these algorithms require large amount data get optimum results. For Type-I civilization collecting while landing UAV on another...

• A statistical regression approach for fast transmittance modeling is proposed. The structure of the line-by-line radiative transfer process outlined. Two deep learning, hidden-layer neural networks are compared as models according to their performance. Fitting accuracy and computation speed shown be excellent. Due sheer volume data, leveraging satellite instrument observations effectively in ...

The advancement of both the fields Computer Vision (CV) and Artificial Neural Networks (ANNs) has enabled development effective automatic systems for analyzing human behavior. It is possible to recognize gestures, which are frequently used by people communicate information non-verbally, studying hand movements. So, main contribution this research collected dataset, taken from open-source videos...

Purpose In the world of big data, data integration technology is crucial for maximising capability data-driven decision-making. Integrating from multiple sources drastically expands power information and allows us to address questions that are impossible answer using a single source. Record Linkage (RL) task identifying linking records describe same real object (e.g. person), it plays role in p...

The conventional tourism demand prediction models are currently facing several challenges due to the excess number of search intensity indices that used as indicators demand. In this work, framework for deep learning-based monthly volumes Macau tourist arrivals was presented. main objective in study is predict growth via one learning algorithms extracting new features. outcome showed performanc...