Improving the prediction of heart failure patients' survival using SMOTE and effective data mining techniques

A Ishaq, S Sadiq, M Umer, S Ullah, S Mirjalili… - IEEE …, 2021 - ieeexplore.ieee.org
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 …

Impact of convolutional neural network and FastText embedding on text classification

M Umer, Z Imtiaz, M Ahmad, M Nappi… - Multimedia Tools and …, 2023 - Springer
Efficient word representation techniques (word embeddings) with modern machine learning
models have shown reasonable improvement on automatic text classification tasks …

An automated conversation system using natural language processing (nlp) chatbot in python

R Regin, SS Rajest, T Shynu - … Asian Journal of …, 2022 - cajmns.centralasianstudies.org
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 …

ETCNN: extra tree and convolutional neural network-based ensemble model for COVID-19 tweets sentiment classification

M Umer, S Sadiq, M Nappi, MU Sana, I Ashraf - Pattern Recognition …, 2022 - Elsevier
Pandemics influence people negatively and people experience fear and disappointment.
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

M Umer, S Sadiq, MMS Missen, Z Hameed… - Pattern recognition …, 2021 - Elsevier
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 …

Negative emotions detection on online mental-health related patients texts using the deep learning with MHA-BCNN model

K Dheeraj, T Ramakrishnudu - Expert Systems with Applications, 2021 - Elsevier
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 …

Utilizing social media and machine learning for personality and emotion recognition using PERS

FM Talaat, EM El-Gendy, MM Saafan… - Neural Computing and …, 2023 - Springer
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 …

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 …

[PDF][PDF] An Analysis of Virtual Reality Usage through a Descriptive Research Analysis on School Students' Experiences: A Study from India.

M Raja, GG Lakshmi Priya - International Journal of Early …, 2021 - researchgate.net
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 …

Social network analysis algorithms, techniques and methods

L Sandra, A Trisetyarso, A Ramadhan… - 2021 International …, 2021 - ieeexplore.ieee.org
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 …