Faizan Ullah
YOU?
Author Swipe
View article: Enhancing brain tumor segmentation using attention based convolutional UNet on MRI images
Enhancing brain tumor segmentation using attention based convolutional UNet on MRI images Open
Precise segmentation of brain tumors is essential for efficient diagnosis and therapy planning. While current automated methods frequently fail to capture complicated tumor shapes, traditional manual methods are laborious, subjective, and …
View article: Correction: Ullah et al. Enhancing Brain Tumor Segmentation Accuracy through Scalable Federated Learning with Advanced Data Privacy and Security Measures. Mathematics 2023, 11, 4189
Correction: Ullah et al. Enhancing Brain Tumor Segmentation Accuracy through Scalable Federated Learning with Advanced Data Privacy and Security Measures. Mathematics 2023, 11, 4189 Open
The author’s contribution is incomplete in the original publication [...]
View article: A novel hybrid deep learning approach for super-resolution and objects detection in remote sensing
A novel hybrid deep learning approach for super-resolution and objects detection in remote sensing Open
Object detection in remote sensing imagery presents challenges due to low resolution, complex backgrounds, occlusions, and scale variations, which are critical in disaster response, environmental monitoring, and surveillance. This study pr…
View article: A flexible and lightweight signcryption scheme for underwater wireless sensor networks
A flexible and lightweight signcryption scheme for underwater wireless sensor networks Open
Underwater wireless sensor networks (UWSNs) are a new research area gaining popularity. It has several key applications for instance; marine monitoring, surveillance, environmental sensing, etc. However, It has several challenges including…
View article: EcoTaskSched: a hybrid machine learning approach for energy-efficient task scheduling in IoT-based fog-cloud environments
EcoTaskSched: a hybrid machine learning approach for energy-efficient task scheduling in IoT-based fog-cloud environments Open
The widespread adoption of cloud services has posed several challenges, primarily revolving around energy and resource efficiency. Integrating cloud and fog resources can help address these challenges by improving fog-cloud computing envir…
View article: EcoTaskSched: A hybrid machine learning approach for energy-efficient task scheduling in IoT-based Fog-Cloud environments
EcoTaskSched: A hybrid machine learning approach for energy-efficient task scheduling in IoT-based Fog-Cloud environments Open
Background The widespread adoption of cloud services has posed several challenges, primarily revolving around energy and resource efficiency. Integrating cloud and fog resources can help address these challenges by improving fog-cloud comp…
View article: Federated learning with LSTM for intrusion detection in IoT-based wireless sensor networks: a multi-dataset analysis
Federated learning with LSTM for intrusion detection in IoT-based wireless sensor networks: a multi-dataset analysis Open
Intrusion detection in Internet of Things (IoT)-based wireless sensor networks (WSNs) is essential due to their widespread use and inherent vulnerability to security breaches. Traditional centralized intrusion detection systems (IDS) face …
View article: UE-NER-2025: A GPT-Based Approach to Multi-Lingual Named Entity Recognition on Urdu and English
UE-NER-2025: A GPT-Based Approach to Multi-Lingual Named Entity Recognition on Urdu and English Open
Named Entity Recognition (NER) is a fundamental task that identifies and classifies entities into predefined categories from unstructured text. As textual data continues to grow and span diverse linguistic communities, NER is rarely studie…
View article: Transformative Transfer Learning for MRI Brain Tumor Precision: Innovative Insights
Transformative Transfer Learning for MRI Brain Tumor Precision: Innovative Insights Open
Accurate brain tumor detection is essential for effective treatment and improved patient outcomes, yet conventional MRI classification methods often struggle with complex and variable imaging data. This study introduces the Transformative …
View article: Synthesis and Photoluminescent Study of Dy Doped Ca3Gd2(BO3)4 Phosphors
Synthesis and Photoluminescent Study of Dy Doped Ca3Gd2(BO3)4 Phosphors Open
The synthesis and photoluminescence study of Dysprosium (Dy) doped Calcium Gadolinium Borate Ca3Gd2(BO3)4:Dy3+ are presented in this research. The aim of this study was to investigate the optical properties and potential applications of Dy…
View article: CT Swirl Sign in intracranial hemorrhage and its association with hematoma expansion
CT Swirl Sign in intracranial hemorrhage and its association with hematoma expansion Open
Introduction & objective -One of the poor clinical outcomes in intracranial hemorrhage is hematoma expansion. We aimed to determine the association of the swirl sign with hematoma expansion.Methods-Fifty patients with spontaneous intracran…
View article: Efficient prediction of anticancer peptides through deep learning
Efficient prediction of anticancer peptides through deep learning Open
Background Cancer remains one of the leading causes of mortality globally, with conventional chemotherapy often resulting in severe side effects and limited effectiveness. Recent advancements in bioinformatics and machine learning, particu…
View article: Revolutionizing Brain Tumor Segmentation in MRI with Dynamic Fusion of Handcrafted Features and Global Pathway-based Deep Learning
Revolutionizing Brain Tumor Segmentation in MRI with Dynamic Fusion of Handcrafted Features and Global Pathway-based Deep Learning Open
Gliomas are the most common malignant brain tumor and cause the most deaths.Manual brain tumor segmentation is expensive, time-consuming, error-prone, and dependent on the radiologist's expertise and experience.Manual brain tumor segmentat…
View article: Big Data Analytics Model Using Artificial Intelligence (AI) and 6G Technologies for Healthcare
Big Data Analytics Model Using Artificial Intelligence (AI) and 6G Technologies for Healthcare Open
Artificial Intelligence (AI) and 6G technologies promise to revolutionize the healthcare domain by enhancing the accuracy and diagnosis the patient monitoring in a real-time environment. The integration of AI and 6G technologies holds subs…
View article: Deep Trust: A Novel Framework for Dynamic Trust and Reputation Management in the Internet of Things (IoT)-Based Networks
Deep Trust: A Novel Framework for Dynamic Trust and Reputation Management in the Internet of Things (IoT)-Based Networks Open
The Internet of Things (IoT) proliferation has brought unprecedented connectivity, introducing complex trust and reputation management challenges across vast, heterogeneous networks. This paper introduces the DeepTrust framework, a novel a…
View article: Securing Smart Manufacturing by Integrating Anomaly Detection With Zero-Knowledge Proofs
Securing Smart Manufacturing by Integrating Anomaly Detection With Zero-Knowledge Proofs Open
In the rapidly advancing domain of smart manufacturing, securing data integrity and preventing unauthorized access are critical challenges. This study introduces a novel approach that synergizes anomaly detection techniques with Zero-Knowl…
View article: Advanced Zero-Shot Learning (AZSL) Framework for Secure Model Generalization in Federated Learning
Advanced Zero-Shot Learning (AZSL) Framework for Secure Model Generalization in Federated Learning Open
Federated learning (FL) introduces new perspectives in machine learning (ML) by enabling model training across decentralized devices. The research on data security and privacy in federated learning (FL) gaining popularity nowadays. However…
View article: Enhancing Brain Tumor Segmentation Accuracy through Scalable Federated Learning with Advanced Data Privacy and Security Measures
Enhancing Brain Tumor Segmentation Accuracy through Scalable Federated Learning with Advanced Data Privacy and Security Measures Open
Brain tumor segmentation in medical imaging is a critical task for diagnosis and treatment while preserving patient data privacy and security. Traditional centralized approaches often encounter obstacles in data sharing due to privacy regu…
View article: Substantial usage of MR Perfusion scan in evaluating tumor response in neuro-oncology patients
Substantial usage of MR Perfusion scan in evaluating tumor response in neuro-oncology patients Open
No abstract available
View article: Brain Tumor Segmentation from MRI Images Using Handcrafted Convolutional Neural Network
Brain Tumor Segmentation from MRI Images Using Handcrafted Convolutional Neural Network Open
Brain tumor segmentation from magnetic resonance imaging (MRI) scans is critical for the diagnosis, treatment planning, and monitoring of therapeutic outcomes. Thus, this research introduces a novel hybrid approach that combines handcrafte…
View article: Deep Learning Techniques for Web-Based Attack Detection in Industry 5.0: A Novel Approach
Deep Learning Techniques for Web-Based Attack Detection in Industry 5.0: A Novel Approach Open
As the manufacturing industry advances towards Industry 5.0, which heavily integrates advanced technologies such as cyber-physical systems, artificial intelligence, and the Internet of Things (IoT), the potential for web-based attacks incr…