Assessing Hyper Parameter Optimization and Speedup for Convolutional Neural Networks
The increased processing power of graphical processing units (GPUs) and the availability of large image datasets has fostered a renewed interest in extracting semantic information from images. Promising results for complex image categorization ...
Palmprint And Dorsal Hand Vein Multi-Modal Biometric Fusion Using Deep Learning
Advancements in biometrics have attained relatively high recognition rates. However, the need for a biometric system that is reliable, robust, and convenient remains. Systems that use palmprints (PP) for verification have a number of benefits ...
A Literature Review on Cross Domain Sentiment Analysis Using Machine learning
Sentiment analysis is the field of NLP which analyzes the sentiments of text written by users on online sites in the form of reviews. These reviews may be either in the form of a word, sentence, document, or ratings. These reviews are used as datasets ...
Robotics and Artificial Intelligence
Artificial intelligence and robotics are very recent technologies and risks for our world. They are developing their capacity dramatically and shifting their origins of developing intention to other dimensions. When humans see the past histories of AI ...
Efficient Closure Operators for FCA-Based Classification
Knowledge discovery in databases (KDD) aims to exploit the large amounts of data collected every day in various fields of computing application. The idea is to extract hidden knowledge from a set of data. It gathers several tasks that constitute a ...
Internet of Things in E-Government: Applications and Challenges
E-government can greatly benefit by the use of IoT, enabling the creation of new innovative services or the transformation and enhancement of current ones, which are informed by smart devices and real-time data. The adoption of IoT in e-government ...
