Muhammad Umair Ali
YOU?
Author Swipe
View article: Quantum AI for psychiatric diagnosis: enhancing dementia classification with quantum machine learning
Quantum AI for psychiatric diagnosis: enhancing dementia classification with quantum machine learning Open
Early detection of dementia is a key requirement for effective patient management. Therefore, classification of dementia is pertinent and requires a highly accurate methodology. Deep learning (DL) models process immense amounts of input da…
View article: Deep Q-Learning for Gastrointestinal Disease Detection and Classification
Deep Q-Learning for Gastrointestinal Disease Detection and Classification Open
Stomach ulcers, a common type of gastrointestinal (GI) disease, pose serious health risks if not diagnosed and treated at an early stage. Therefore, in this research, a method is proposed based on two deep learning models for classificatio…
View article: Observer based resilient security control for networked nondeterministic Markovian jump systems with cyber attacks and its applications
Observer based resilient security control for networked nondeterministic Markovian jump systems with cyber attacks and its applications Open
This paper investigates the problem of the observer-based resilient event-triggered control for stochastic Markovian jump systems subject to probabilistic cyber attacks, actuator failures, and controller gain variations. The observer is mo…
View article: Prevalence and risk factors of gestational diabetes mellitus among pregnant women in Saudi Arabia: a cross-sectional study
Prevalence and risk factors of gestational diabetes mellitus among pregnant women in Saudi Arabia: a cross-sectional study Open
Background: Gestational diabetes mellitus (GDM) is a common pregnancy complication associated with significant short- and long-term health risks for both mother and child. Understanding the local prevalence and associated risk factors is e…
View article: A lightweight multi-deep learning framework for accurate diabetic retinopathy detection and multi-level severity identification
A lightweight multi-deep learning framework for accurate diabetic retinopathy detection and multi-level severity identification Open
Accurate and timely detection of diabetic retinopathy (DR) is crucial for managing its progression and improving patient outcomes. However, developing algorithms to analyze complex fundus images continues to be a major challenge. This work…
View article: Small Force Estimation and Velocity Limitation Control for a Tele-Operated 6-DoF Eye Surgery Robot
Small Force Estimation and Velocity Limitation Control for a Tele-Operated 6-DoF Eye Surgery Robot Open
When performing eye surgery, surgeons traditionally rely on visual feedback through needle insertion to sense tissue. Particularly, in vitreoretinal surgery, the contact force exerted by a surgical robot to avoid damaging healthy tissue is…
View article: Diabetes Prediction Using an Optimized Variational Quantum Classifier
Diabetes Prediction Using an Optimized Variational Quantum Classifier Open
Quantum information processing introduces novel approaches for classical data encoding to encompass the complex patterns of input data of practical computational challenges using basic principles of quantum mechanics. The classification of…
View article: CausDiff-HTR: Causality-Aware Diffusion Transformer for Explainable Handwritten Text Generation
CausDiff-HTR: Causality-Aware Diffusion Transformer for Explainable Handwritten Text Generation Open
View article: Study of Prevalence of Hyponatremia in Elderly and Its Relevance with Outcomes
Study of Prevalence of Hyponatremia in Elderly and Its Relevance with Outcomes Open
View article: Real‐time object detection for unmanned vehicles in Bangladesh: Dataset, implementation and evaluation
Real‐time object detection for unmanned vehicles in Bangladesh: Dataset, implementation and evaluation Open
Automated vehicle detection within the advanced application framework of autonomous vehicles significantly enhances road safety compared to human drivers on roads and highways. However, the intelligent identification of road vehicles in a …
View article: Intelligent islanding detection in smart microgrids using variance autocorrelation function‐based modal current envelope
Intelligent islanding detection in smart microgrids using variance autocorrelation function‐based modal current envelope Open
Islanding detection is a critical issue in grid‐connected distributed microgrid systems. Distributed generation in the current power system has caused many challenges. Consequently, detecting quick and effective islanding is the most criti…
View article: AppleLeafNet: a lightweight and efficient deep learning framework for diagnosing apple leaf diseases
AppleLeafNet: a lightweight and efficient deep learning framework for diagnosing apple leaf diseases Open
Accurately identifying apple diseases is essential to control their spread and support the industry. Timely and precise detection is crucial for managing the spread of diseases, thereby improving the production and quality of apples. Howev…
View article: Artificial Neural Network-Based Data-Driven Parameter Estimation Approach: Applications in PMDC Motors
Artificial Neural Network-Based Data-Driven Parameter Estimation Approach: Applications in PMDC Motors Open
The optimal performance of direct current (DC) motors is intrinsically linked to their mathematical models’ precision and their controllers’ effectiveness. However, the limited availability of motor characteristic information poses signifi…
View article: MRI-Driven Alzheimer’s Disease Diagnosis Using Deep Network Fusion and Optimal Selection of Feature
MRI-Driven Alzheimer’s Disease Diagnosis Using Deep Network Fusion and Optimal Selection of Feature Open
Alzheimer’s disease (AD) is a degenerative neurological condition characterized by cognitive decline, memory loss, and reduced everyday function, which eventually causes dementia. Symptoms develop years after the disease begins, making ear…
View article: SUSTAINABLE AQUACULTURE; ORGANIC INNOVATIONS FOR DISEASE PREVENTION AND HEALTH MANAGEMENT IN NILE TILAPIA (OREOCHROMIS NILOTICUS)
SUSTAINABLE AQUACULTURE; ORGANIC INNOVATIONS FOR DISEASE PREVENTION AND HEALTH MANAGEMENT IN NILE TILAPIA (OREOCHROMIS NILOTICUS) Open
Sustainable aquaculture has become imperative in guaranteeing the enduring prosperity of aquatic farming, specifically for the Nile tilapia (Oreochromis niloticus), one of the most extensively farmed fish species. This study examines organ…
View article: Comparison of Health Parameters in Postpartum Diastasis Recti: A Randomized Control Trial of SEMG Biofeedback-Assisted Core Strengthening Exercises with Kinesiotaping vs. Non-Assisted Exercises
Comparison of Health Parameters in Postpartum Diastasis Recti: A Randomized Control Trial of SEMG Biofeedback-Assisted Core Strengthening Exercises with Kinesiotaping vs. Non-Assisted Exercises Open
Current medical treatments for diastasis recti often involve exercises to strengthen the core muscles, along with abdominal binders or supports. However, there is limited evidence comparing the effectiveness of surface electromyography (SE…
View article: Error Mitigation in the NISQ Era: Applying Measurement Error Mitigation Techniques to Enhance Quantum Circuit Performance
Error Mitigation in the NISQ Era: Applying Measurement Error Mitigation Techniques to Enhance Quantum Circuit Performance Open
In quantum computing, noisy intermediate-scale quantum (NISQ) devices offer unprecedented computational capabilities but are vulnerable to errors, notably measurement inaccuracies that impact computation accuracy. This study explores the e…
View article: Enhancing Alzheimer’s disease diagnosis and staging: a multistage CNN framework using MRI
Enhancing Alzheimer’s disease diagnosis and staging: a multistage CNN framework using MRI Open
This study addresses the pervasive and debilitating impact of Alzheimer’s disease (AD) on individuals and society, emphasizing the crucial need for timely diagnosis. We present a multistage convolutional neural network (CNN)-based framewor…
View article: Novel Robust Estimation-Based Control of One-Sided Lipschitz Nonlinear Systems Subject to Output and Input Delays
Novel Robust Estimation-Based Control of One-Sided Lipschitz Nonlinear Systems Subject to Output and Input Delays Open
This paper highlights the design of a controller established on estimated states for one-sided Lipschitz (OSL) nonlinear systems subject to output and input delays. The controller has been devised by involving Luenberger-like estimated sta…
View article: Insect as a promising food source: implications for sustainable consumption across species. a review
Insect as a promising food source: implications for sustainable consumption across species. a review Open
Insects provide a crucial source of nutrients for human beings and many other animal species. Several insects, such as black soldier flies, house crickets, fruit flies, houseflies, and mealworms, play crucial roles in providing essential m…
View article: Computational Approaches To Design Multi Epitope-Based Vaccine Designing of Dengue virus -2 Enveloped Protein For Dengue Virus
Computational Approaches To Design Multi Epitope-Based Vaccine Designing of Dengue virus -2 Enveloped Protein For Dengue Virus Open
Dengue Fever (DF) is a viral disease transmitted by mosquitoes and is a global concern. A successful vaccine for dengue should induce both neutralizing antibodies and cell-mediated immunity. However, no vaccine currently exists for DF. A m…
View article: AN IN-DEPTH ANALYSIS OF DENGUE MOSQUITO DYNAMICS IN LAHORE: UNRAVELING THE IMPACT OF DENGUE OUTBREAKS AND ENVIRONMENTAL FACTORS
AN IN-DEPTH ANALYSIS OF DENGUE MOSQUITO DYNAMICS IN LAHORE: UNRAVELING THE IMPACT OF DENGUE OUTBREAKS AND ENVIRONMENTAL FACTORS Open
Dengue fever, caused by the Aedes mosquito-borne dengue virus, is still a major public health concern in many parts of the world, including Lahore, Pakistan. Lahore region is regarded as a dengue fever hotspot due to the large number of ca…
View article: Artificial neural network models: implementation of functional near-infrared spectroscopy-based spontaneous lie detection in an interactive scenario
Artificial neural network models: implementation of functional near-infrared spectroscopy-based spontaneous lie detection in an interactive scenario Open
Deception is an inevitable occurrence in daily life. Various methods have been used to understand the mechanisms underlying brain deception. Moreover, numerous efforts have been undertaken to detect deception and truth-telling. Functional …
View article: Application of Artificial Neural Networks for Predicting Axial Strain of FRP-Confined Concrete
Application of Artificial Neural Networks for Predicting Axial Strain of FRP-Confined Concrete Open
Multiple research studies have developed frameworks to forecast the ability of concrete structural elements to withstand compression along their length. However, further exploration is required to refine predictions for the axial compressi…
View article: Generalized Lie Similarity Solutions for Casson Fluid Flow, Heat and Mass Transfer on a Stretching Sheet with Thermal Radiation
Generalized Lie Similarity Solutions for Casson Fluid Flow, Heat and Mass Transfer on a Stretching Sheet with Thermal Radiation Open
View article: Enhancing Photovoltaic Reliability: A Global and Local Feature Selection Approach with Improved Harris Hawks Optimization for Efficient Hotspot Detection Using Infrared Imaging
Enhancing Photovoltaic Reliability: A Global and Local Feature Selection Approach with Improved Harris Hawks Optimization for Efficient Hotspot Detection Using Infrared Imaging Open
The photovoltaic (PV) systems’ inherent ability to transform solar light directly into electrical energy has contributed to their increasing popularity. However, malfunctions can reduce system dependability. Therefore, rapid hotspot identi…
View article: Beyond Lethality: Exploring Sublethal Effects of Pesticides on Insect Behavior and Their Ecological Ramifications: A Review Analysis
Beyond Lethality: Exploring Sublethal Effects of Pesticides on Insect Behavior and Their Ecological Ramifications: A Review Analysis Open
Pesticides are widely used in modern agriculture to increase their yield, which has sparked worries about how they may affect insect biodiversity and ecosystem services. To thoroughly evaluate the impacts of pesticides on insect population…
View article: Robust Estimation-Based Control for Generalized One-Sided Lipschitz Nonlinear Systems in the Presence of Output Delays
Robust Estimation-Based Control for Generalized One-Sided Lipschitz Nonlinear Systems in the Presence of Output Delays Open
This study presents a robust estimation-based control approach for nonlinear systems with generalized one-sided Lipschitz (OSL) conditions projected for delay measurement. A control scheme was devised for this family of nonlinear systems b…
View article: Enhancing Skin Lesion Detection: A Multistage Multiclass Convolutional Neural Network-Based Framework
Enhancing Skin Lesion Detection: A Multistage Multiclass Convolutional Neural Network-Based Framework Open
The early identification and treatment of various dermatological conditions depend on the detection of skin lesions. Due to advancements in computer-aided diagnosis and machine learning approaches, learning-based skin lesion analysis metho…
View article: HUBUNGAN KEMAMPUAN LITERASI SAINS DENGAN KEMAMPUAN LITERASI DIGITAL PESERTA DIDIK KELAS V SDN CENGKARENG BARAT 03 PAGI
HUBUNGAN KEMAMPUAN LITERASI SAINS DENGAN KEMAMPUAN LITERASI DIGITAL PESERTA DIDIK KELAS V SDN CENGKARENG BARAT 03 PAGI Open
The purpose of this study was to analyze the relationship between scientific literacy skills and digital literacy skills of fifth grade students at SDN Cengkareng Barat 03 Pagi. The method used in this research is descriptive correlational…