Titlebook: Applied Machine Learning and Data Analytics; 5th International Co M. A. Jabbar,Fernando Ortiz-Rodríguez,Patrick Siar Conference proceedings

聋子

Keratoconus Classification Using Feature Selection and Machine Learning Approach,e learning algorithms. The experimental results implied that Sequential forward selection and PSO provided the highest classification accuracy by the application of Negative Correlation based Deep Ensemble Network (NC-DEN), with an accuracy of 96.14%.

verdict

arabesque

Online Grocery Shopping: - Key Factors to Understand Shopping Behavior from Data Analytics Perspectase of Shopping’, ‘Pandemic Arisen Factors’, ‘Financial Risk’, ‘Technology Driven’, ‘Product Performance and Psycho-Social Risk’, ‘Location and Quantity Constraint’, and ‘Entertainment’. Among those, ‘Pandemic Arisen Factors’ and ‘Technology Driven’ are significantly impacting consumers’ online purchases.

胰脏

,Better Qualitative Searching for Effecting the Performance of Machine Translation,ation, we have gone through some of the techniques like Machine Translation, Punctuation Restoration, Name Entity Recognition, and Sentiment Analysis. Here we mentioned different state-of-the-art methods for different techniques of NLP. This paper offers an abstract analysis of the current state of language translation techniques.

novelty

Handwriting Recognition for Predicting Gender and Handedness Using Deep Learning,e conducted to analyze the performance on the given two datasets for predicting. Gender and handedness. Experiments showed Google Net using CNN is the most efficient for the prediction and recognition with the handwriting samples. For combined prediction the accuracy rate is around 94% with Real-Time dataset and 95% with the IAM dataset.

Spinal-Tap

Entropy in the work of Boltzmann,n for advanced metering infrastructure, along with the security risks and threat landscape. For the exchange of energy, we have proposed an Ethereum-based blockchain model, and results are discussed for the scenario when an independent house’s smart meter and distribution system operator trades energy.

叙述

Origin of entropy in the work of Clausius,arning algorithms. A methodology is presented that involves the analysis and processing of information to train and configure four different classification algorithms to recognize three types of classes: male, female, and immature. The results demonstrate the impact of using linear classifiers for this task.

入伍仪式

粉笔

S. Kjelstrup Ratkje,B. Hafskjold lexicon, as well as the corresponding weights, are obtained by means of a distance measure that is closely related to the probability that a document belongs to its label. The preliminary results obtained with a corpus of 405 documents show that the method reaches an accuracy of 92.3%.

Scleroderma