Improving the prediction of heart failure patients' survival using SMOTE and effective data mining techniques
Cardiovascular disease is a substantial cause of mortality and morbidity in the world. In
clinical data analytics, it is a great challenge to predict heart disease survivor. Data mining …
clinical data analytics, it is a great challenge to predict heart disease survivor. Data mining …
Impact of convolutional neural network and FastText embedding on text classification
Efficient word representation techniques (word embeddings) with modern machine learning
models have shown reasonable improvement on automatic text classification tasks …
models have shown reasonable improvement on automatic text classification tasks …
An automated conversation system using natural language processing (nlp) chatbot in python
The purpose of this project is to build a ChatBot that utilises NLP (Natural Language
Processing) and assists customers. A ChatBot is an automated conversation system that …
Processing) and assists customers. A ChatBot is an automated conversation system that …
ETCNN: extra tree and convolutional neural network-based ensemble model for COVID-19 tweets sentiment classification
Pandemics influence people negatively and people experience fear and disappointment.
With the global outspread of COVID-19, the sentiments of the general public are …
With the global outspread of COVID-19, the sentiments of the general public are …
[HTML][HTML] Scientific papers citation analysis using textual features and SMOTE resampling techniques
Ascertaining the impact of research is significant for the research community and academia
of all disciplines. The only prevalent measure associated with the quantification of research …
of all disciplines. The only prevalent measure associated with the quantification of research …
Negative emotions detection on online mental-health related patients texts using the deep learning with MHA-BCNN model
Mining the emotions in the text related to mental health-care oriented is a challenging
aspect, especially dealing with a long-text sequence of data. The extraction of emotions …
aspect, especially dealing with a long-text sequence of data. The extraction of emotions …
Utilizing social media and machine learning for personality and emotion recognition using PERS
Personality reflects how people can behave in different situations and affects their decisions.
Analyzing personality is useful in many fields, for example in the prediction of performance …
Analyzing personality is useful in many fields, for example in the prediction of performance …
Skin lesion classification in dermoscopic images using stacked convolutional neural network
A Hameed, M Umer, U Hafeez, H Mustafa… - Journal of Ambient …, 2023 - Springer
Skin lesion detection and classification is always observed as a difficult problem to solve.
Manual detection of skin lesions via visual image inspection can be time-consuming and …
Manual detection of skin lesions via visual image inspection can be time-consuming and …
[PDF][PDF] An Analysis of Virtual Reality Usage through a Descriptive Research Analysis on School Students' Experiences: A Study from India.
This study aims to enhance learning among school students through Virtual Reality. Virtual
learning gives a guaranteed environment in the education field. Recently, many schools …
learning gives a guaranteed environment in the education field. Recently, many schools …
Social network analysis algorithms, techniques and methods
Understanding how social structures with the use of a network have been an active field of
study for academics in the past five years alone. The need to properly comprehends how …
study for academics in the past five years alone. The need to properly comprehends how …