80 hasil untuk "Mamoona Humayun"
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Artikel Jurnal Teks lengkap
A Blockchain-Enabled Framework for Improving the Software Audit Process
Audits are an essential component of every organization, particularly those involving software development. In addition to several testing cycles, software auditing has become an essential software development milestone. Software auditing is a continual activity that enables a business to remain…
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Improving the Safety and Security of Software Systems by Mediating SAP Verification
Security and performance (SAP) are two critical NFRs that affect the successful completion of software projects. Organizations need to follow the practices that are vital to SAP verification. These practices must be incorporated into the software development process to identify SAP-related defects…
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Enhancement of Diabetic Retinopathy Prognostication Using Deep Learning, CLAHE, and ESRGAN
One of the primary causes of blindness in the diabetic population is diabetic retinopathy (DR). Many people could have their sight saved if only DR were detected and treated in time. Numerous Deep Learning (DL)-based methods have been presented to improve human analysis. Using a DL model with three…
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Ensemble Deep Neural Networks for Reliable Autism Diagnosis in Children: A Performance and Interpretability Study
Detecting autism spectrum disorder (ASD) in children poses challenges at earlier stages, considering the absence of common screening tools and subtle behavioral patterns. Existing machine learning (ML) models suffer from generalization, class imbalance, and interpretability issues, particularly…
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Secure Smart and Remote Multipurpose Attendance Monitoring System
Attendance monitoring system is an essential element in all organizations and is considered as an integral part of efficient organizational information systems. Most of the time it so happens that if any stakeholder wants to meet concerned in charge employees they need to take an appointment and…
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A Computer Vision-Enabled Smart Healthcare and Assistive Technology Framework for Urban Digital Environments to Support Elderly Individuals and People with Disabilities
This research study presents a computer vision-enabled smart healthcare and assistive technology framework that aims to contribute to support systems for the elderly and people with disabilities in urban digital environments. The presented system incorporates real-time identification and…
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Transforming Disability Into Ability: An Explainable Vision-to-Voice Image Captioning Framework Using Transformer Models and Edge Computing
Image captioning is an emerging field at the intersection of computer vision and natural language processing (NLP). It has shown great potential to enhance accessibility by automatically generating descriptive text for visual content. For visually impaired individuals, such technologies can…
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Energy Optimization for Smart Cities Using IoT
When it comes to smart cities, one of the biggest issues is energy optimization. This is because these cities employ a large number of interconnected devices to autonomously manage city operations, which consumes a lot of energy. This difficulty has been addressed in this paper by using the…
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Real-Time Security Health and Privacy Monitoring for Saudi Highways Using Cutting-Edge Technologies
Kingdom of Saudi Arabia (KSA) highways hold the record for having the straightest, longest highways in the world. Since the country’s major population centers are dispersed across the country and due to the country’s geography, which includes valleys, deserts, and mountains, among other landscapes…
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Computer-Vision- and Edge-Enabled Real-Time Assistance Framework for Visually Impaired Persons with LPWAN Emergency Signaling
In recent decades, various assistive technologies have emerged to support visually impaired individuals. However, there remains a gap in terms of solutions that provide efficient, universal, and real-time capabilities by combining robust object detection, robust communication, continuous data…
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Transforming Smart Healthcare Systems with AI-Driven Edge Computing for Distributed IoMT Networks
The Internet of Medical Things (IoMT) with edge computing provides opportunities for the rapid growth and development of a smart healthcare system (SHM). It consists of wearable sensors, physical objects, and electronic devices that collect health data, perform local processing, and later forward…
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A Comparative Investigation of Transfer Learning Frameworks Using OCT Pictures for Retinal Disorder Identification
Determining indicators or retinal wounds is essential for accurate diagnosis and retinal disorders grading. To view the retinal microarchitecture and easily screen for anomalies, optical coherence tomography (OCT) images are utilized. Numerous studies have already tried to use OCT to overcome that…
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A Situation Based Predictive Approach for Cybersecurity Intrusion Detection and Prevention Using Machine Learning and Deep Learning Algorithms in Wireless Sensor Networks of Industry 4.0
Industry 4.0 is fundamentally based on networked systems. Real-time communication between machines, sensors, devices, and people makes it easier to transmit the data needed to make decisions. Informed decision-making is empowered by the comprehensive insights and analytics made possible by this…
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Detection of Skin Cancer Based on Skin Lesion Images Using Deep Learning
An increasing number of genetic and metabolic anomalies have been determined to lead to cancer, generally fatal. Cancerous cells may spread to any body part, where they can be life-threatening. Skin cancer is one of the most common types of cancer, and its frequency is increasing worldwide. The…
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Internet of things and ransomware: Evolution, mitigation and prevention
Internet of things architecture is the integration of real-world objects and places with the internet. This booming in technology is bringing ease in our lifestyle and making formerly impossible things possible. Internet of things playing a vital role in bridging this gap easily and rapidly. IoT is…
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Fog-Driven IoT and Trust-aware Machine Learning Framework for Early Disability Detection and Rehabilitation in Healthcare Systems
The Internet of Things (IoT) and machine learning offer promising healthcare solutions for enhancing the functionalities of early detection and rehabilitation of disabilities. These systems minimize communication gaps between patients and healthcare providers by efficiently managing medical…
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Explainable Cluster-Based Predictive Framework for Early Diagnosis of Autism Spectrum Disorder Using Behavioral Biomarkers
Background/Objectives: Autism Spectrum Disorder (ASD) is a multifaceted neuropsychiatric condition characterized by early behavioral irregularities that often precede formal diagnosis. Timely and precise detection remains a major clinical challenge due to the complexity of behavioral manifestations…
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AI-embedded IoT healthcare optimization with trust-aware mobile edge computing
Abstract Embedded technologies combined with the Internet of Things (IoT), have transformed healthcare monitoring systems into automated and responsive platforms. In recent decades, many existing approaches have been based on edge computing to reduce response time in patient monitoring and provide…
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Secure Global Software Development: A Practitioners’ Perspective
Global software development (GSD) is rapidly becoming standard practice in the software industry due to its many potential benefits. However, one of the biggest challenges in GSD projects is to explicitly include security in the different phases of the global software development life cycle…