Muhammad Ramzan
YOU?
Author Swipe
View article: CORRELATION OF ULTRASONOGRAPHIC GRADES OF FATTY LIVER WITH ELASTOGRAPHY IN ADULT PATIENTS
CORRELATION OF ULTRASONOGRAPHIC GRADES OF FATTY LIVER WITH ELASTOGRAPHY IN ADULT PATIENTS Open
Background: Non-Alcoholic Fatty Liver Disease (NAFLD) is a prevalent chronic liver disorder that can progress to cirrhosis and hepatocellular carcinoma if left undetected. The disease spectrum ranges from simple steatosis to Non-Alcoholic …
View article: Blockchain in the Quantum Era: Surveying Security Challenges and Post-Quantum Cryptography
Blockchain in the Quantum Era: Surveying Security Challenges and Post-Quantum Cryptography Open
View article: An efficient leukemia prediction method using machine learning and deep learning with selected features
An efficient leukemia prediction method using machine learning and deep learning with selected features Open
Leukemia is a serious problem affecting both children and adults, leading to death if left untreated. Leukemia is a kind of blood cancer described by the rapid proliferation of abnormal blood cells. An early, trustworthy, and precise ident…
View article: Machine and deep learning for personality traits detection: a comprehensive survey and open research challenges
Machine and deep learning for personality traits detection: a comprehensive survey and open research challenges Open
View article: Investigating the Role of LASSO in Feature Selection for Educational Data Mining (EDM) Applications
Investigating the Role of LASSO in Feature Selection for Educational Data Mining (EDM) Applications Open
With the advent of digitalization, education-related activities have started generating massive amounts of data from various facets, such as student interaction, assessment, and learning management systems. Such vast amounts of data become…
View article: Deep learning and sentence embeddings for detection of clickbait news from online content
Deep learning and sentence embeddings for detection of clickbait news from online content Open
View article: Transarterial chemoembolization in hepatocellular carcinoma: exploring its role in vascular invasion and extrahepatic metastasis: A systematic review
Transarterial chemoembolization in hepatocellular carcinoma: exploring its role in vascular invasion and extrahepatic metastasis: A systematic review Open
Background and aims: Transarterial chemoembolization (TACE) is a significant intervention in hepatocellular carcinoma (HCC) management, but controversies persist regarding its application in advanced cases with vascular invasion or extrahe…
View article: Spherical Fuzzy Credibility Dombi Aggregation Operators and Their Application in Artificial Intelligence
Spherical Fuzzy Credibility Dombi Aggregation Operators and Their Application in Artificial Intelligence Open
It was recently proposed to extend the spherical fuzzy set to spherical fuzzy credibility sets (SFCSs). In this paper, we define the concept of SFCSs. We then define new operational laws for SFCSs using Dombi operational laws. Various sphe…
View article: Using Deep Learning Techniques to Enhance Blood Cell Detection in Patients with Leukemia
Using Deep Learning Techniques to Enhance Blood Cell Detection in Patients with Leukemia Open
Medical diagnosis plays a critical role in the early detection and treatment of diseases by examining symptoms and supporting findings through advanced laboratory testing. Early and accurate diagnosis is essential for detecting medical pro…
View article: Enhancing anemia detection through multimodal data fusion: a non-invasive approach using EHRs and conjunctiva images
Enhancing anemia detection through multimodal data fusion: a non-invasive approach using EHRs and conjunctiva images Open
Anemia detection using multimodal approaches leverages the integration of multiple data sources, such as imaging, clinical records, and hematological parameters, to improve diagnostic accuracy. Such methods can capture the complex interpla…
View article: Using deep learning and word embeddings for predicting human agreeableness behavior
Using deep learning and word embeddings for predicting human agreeableness behavior Open
The latest advancements of deep learning have resulted in a new era of natural language processing. The machines now possess an unparallel ability to interpret and engage with various tasks such as text classification, content generation a…
View article: Revolutionizing anemia detection: integrative machine learning models and advanced attention mechanisms
Revolutionizing anemia detection: integrative machine learning models and advanced attention mechanisms Open
This study addresses the critical issue of anemia detection using machine learning (ML) techniques. Although a widespread blood disorder with significant health implications, anemia often remains undetected. This necessitates timely and ef…
View article: Innovative framework for accurate and transparent forecasting of energy consumption: A fusion of feature selection and interpretable machine learning
Innovative framework for accurate and transparent forecasting of energy consumption: A fusion of feature selection and interpretable machine learning Open
The study presents a novel framework integrating feature selection (FS) and machine learning (ML) techniques to forecast inland national energy consumption (EC) in the United Kingdom across all energy sources. This innovative framework str…
View article: Physicochemical, nutritional and organoleptic characteristics of cookies based on water chestnut (Trapa natans) and wheat
Physicochemical, nutritional and organoleptic characteristics of cookies based on water chestnut (Trapa natans) and wheat Open
The water chestnut flour has massive potential to replace the white flour for the development of value-added food products. In the present research work water chestnut flour was combined with white flour at different levels, i.e. 0 (T0), 1…
View article: Development of data-driven machine learning models and their potential role in predicting dengue outbreak
Development of data-driven machine learning models and their potential role in predicting dengue outbreak Open
Dengue fever is one of the most widespread vector-borne viral infections in the world, resulting in increased socio-economic burden. WHO has reported that 2.5 billion people are infected with dengue fever across the world, resulting in hig…
View article: Development of data-driven machine learning models and their potential role in predicting dengue outbreak
Development of data-driven machine learning models and their potential role in predicting dengue outbreak Open
Dengue fever is one of the most widespread vector-borne viral infections in the world, resulting in increased socio-economic burden. WHO has reported that 2.5 billion people are infected with dengue fever across the world, resulting in hig…
View article: Effectiveness of Pre-Trained CNN Networks for Detecting Abnormal Activities in Online Exams
Effectiveness of Pre-Trained CNN Networks for Detecting Abnormal Activities in Online Exams Open
Online exams are growing increasingly popular in organizations and educational institutes because they are more flexible and cost-effective than conventional paper-based exams. When face-to-face exams are not possible, such as during flood…
View article: AI Knows You: Deep Learning Model for Prediction of Extroversion Personality Trait
AI Knows You: Deep Learning Model for Prediction of Extroversion Personality Trait Open
The recent rise of Artificial Intelligence (AI) has already revolutionized human lives and is improving the quality of human life in many ways. The field of AI, Natural Language Processing (NLP), helps to understand, comprehend and even ge…
View article: A Novel Hybrid Approach for Driver Drowsiness Detection Using a Custom Deep Learning Model
A Novel Hybrid Approach for Driver Drowsiness Detection Using a Custom Deep Learning Model Open
Driver Drowsiness Detection (D3) is a challenging task as it requires analysis based on various behavioral and physiological signs such as health issues, mental stress, and exhaustion. Data analytics reveals that driver drowsiness is the r…
View article: Crime Prediction Using Machine Learning: A Comparative Analysis
Crime Prediction Using Machine Learning: A Comparative Analysis Open
In the past few years, Machine Learning (ML) methods have acquired extensive attention from researchers and even criminology practitioners for their potential in crime prediction and crime forecast. To date, many research studies have alre…
View article: The Recovery of Left Ventricular Function in Cases of Primary Angioplasty for Acute Myocardial Infarction
The Recovery of Left Ventricular Function in Cases of Primary Angioplasty for Acute Myocardial Infarction Open
Background: This study is to investigate the recovery in left ventricular ejection fraction in the first 3 months after acute myocardial infarction treated with primary angioplasty. Left ventricular function (LVF) is the main predictor of …
View article: Innovative Framework for Accurate and Transparent Forecasting of Energy Consumption: A Fusion of Feature Selection and Interpretable Machine Learning
Innovative Framework for Accurate and Transparent Forecasting of Energy Consumption: A Fusion of Feature Selection and Interpretable Machine Learning Open
View article: Unusual Driver Behavior Detection in Videos Using Deep Learning Models
Unusual Driver Behavior Detection in Videos Using Deep Learning Models Open
Anomalous driving behavior detection is becoming more popular since it is vital in ensuring the safety of drivers and passengers in vehicles. Road accidents happen for various reasons, including health, mental stress, and fatigue. It is cr…
View article: Deep Learning Models for Classification of Dental Diseases Using Orthopantomography X-ray OPG Images
Deep Learning Models for Classification of Dental Diseases Using Orthopantomography X-ray OPG Images Open
The teeth are the most challenging material to work with in the human body. Existing methods for detecting teeth problems are characterised by low efficiency, the complexity of the experiential operation, and a higher level of user interve…
View article: A Transfer Learning Based Approach for COVID-19 Detection Using Inception-v4 Model
A Transfer Learning Based Approach for COVID-19 Detection Using Inception-v4 Model Open
Coronavirus (COVID-19 or SARS-CoV-2) is a novel viral infection that started in December 2019 and has erupted rapidly in more than 150 countries. The rapid spread of COVID-19 has caused a global health emergency and resulted in governments…
View article: A Deep Learning and Handcrafted Based Computationally Intelligent Technique for Effective COVID-19 Detection from X-ray/CT-scan Imaging
A Deep Learning and Handcrafted Based Computationally Intelligent Technique for Effective COVID-19 Detection from X-ray/CT-scan Imaging Open
View article: Credit Card Fraud Detection Using State-of-the-Art Machine Learning and Deep Learning Algorithms
Credit Card Fraud Detection Using State-of-the-Art Machine Learning and Deep Learning Algorithms Open
People can use credit cards for online transactions as it provides an efficient and easy-to-use facility. With the increase in usage of credit cards, the capacity of credit card misuse has also enhanced. Credit card frauds cause significan…
View article: A Fuzzy Rule-Based System for Classification of Diabetes
A Fuzzy Rule-Based System for Classification of Diabetes Open
Diabetes is a fatal disease that currently has no treatment. However, early diagnosis of diabetes aids patients to start timely treatment and thus reduces or eliminates the risk of severe complications. The prevalence of diabetes has been …
View article: Automatic Unusual Activities Recognition Using Deep Learning in Academia
Automatic Unusual Activities Recognition Using Deep Learning in Academia Open
In the current era, automatic surveillance has become an active research problem due to its vast real-world applications, particularly for maintaining law and order. A continuous manual monitoring of human activities is a tedious task. The…
View article: Skin Cancer Detection: A Review Using Deep Learning Techniques
Skin Cancer Detection: A Review Using Deep Learning Techniques Open
Skin cancer is one of the most dangerous forms of cancer. Skin cancer is caused by un-repaired deoxyribonucleic acid (DNA) in skin cells, which generate genetic defects or mutations on the skin. Skin cancer tends to gradually spread over o…