Faheem Khan
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View article: Quality of Primary Education in Bannu Division: An Analysis of Quality of Input, Process, and Output Indicators
Quality of Primary Education in Bannu Division: An Analysis of Quality of Input, Process, and Output Indicators Open
This study examined the achievement of Sustainable Development Goal 4 (Quality Education) targets in public primary schools of Bannu Division, Khyber Pakhtunkhwa, by examining input, process, and output quality indicators. The population c…
View article: RTLS-Enabled Bidirectional Alert System for Proximity Risk Mitigation in Tunnel Environments
RTLS-Enabled Bidirectional Alert System for Proximity Risk Mitigation in Tunnel Environments Open
Tunnel construction poses significant safety challenges due to confined spaces, limited visibility, and the dynamic movement of labourers and machinery. This study addresses a critical gap in real-time, bidirectional proximity monitoring b…
View article: Attribute-based Privacy-Preserving Confidential Reporting Framework to Multiple Auditors
Attribute-based Privacy-Preserving Confidential Reporting Framework to Multiple Auditors Open
In today's strict corporate hierarchies, rigid structures and strict disciplinary rules make employees hesitant to report mistakes, especially involving their superiors, due to fear of blame, punishment, or career setbacks. Despite various…
View article: Synthesis of metal nanoparticles and their role in degradation of pesticides/herbicides: a review
Synthesis of metal nanoparticles and their role in degradation of pesticides/herbicides: a review Open
The persistent use of pesticides and herbicides in agriculture has led to significant environmental pollution, particularly in soil and water systems. Metal nanoparticles (MNPs) offer a novel and effective approach for the degradation of t…
View article: Explainable Machine Learning for Cyberattack Identification from Traffic Flows
Explainable Machine Learning for Cyberattack Identification from Traffic Flows Open
The increasing automation of traffic management systems has made them prime targets for cyberattacks, disrupting urban mobility and public safety. Traditional network-layer defenses are often inaccessible to transportation agencies, necess…
View article: Machine Learning for Cyber-Attack Identification from Traffic Flows
Machine Learning for Cyber-Attack Identification from Traffic Flows Open
This paper presents our simulation of cyber-attacks and detection strategies on the traffic control system in Daytona Beach, FL. using Raspberry Pi virtual machines and the OPNSense firewall, along with traffic dynamics from SUMO and explo…
View article: Robotic Cloud Automation‐Enabled Attack Detection and Secure Robotic Command Verification Using LADA‐C‐RNN and S‐Fuzzy
Robotic Cloud Automation‐Enabled Attack Detection and Secure Robotic Command Verification Using LADA‐C‐RNN and S‐Fuzzy Open
The rise of digital technology and Artificial Intelligence (AI) has led to the increased use of smart robots in various sectors. However, security and trust are significant concerns about deploying robots in critical infrastructures. There…
View article: An <scp>IoMT</scp>‐Enabled Surgical Monitoring System Utilizing Robotics and <scp>AI</scp> With <scp>E<sup>2</sup>ARiA</scp>‐<scp>RESNET</scp>‐50 and <scp>MI</scp>‐<scp>KMEANS</scp>
An <span>IoMT</span>‐Enabled Surgical Monitoring System Utilizing Robotics and <span>AI</span> With <span>E<sup>2</sup>ARiA</span>‐<span>RESNET</span>‐50 and <span>MI</span>‐<span>KMEANS</span> Open
Robotic automated Surgery uses robots to assist with surgeries, making procedures more precise and recovery faster. It is popular in healthcare because it enables surgeries with smaller incisions, leading to quicker healing and shorter hos…
View article: Smart Bus Arrival System
Smart Bus Arrival System Open
An effective vehicle tracking system is designed and developed for monitoring the movement of any vehicle equipped from any place at any time. The designed system utilized a Smartphone and web application in conjunction with a microcontrol…
View article: Correction: The intersection of finTech adoption, HR competency potential, service innovation, and firm growth in the banking sectors using Entropy and TOPSIS
Correction: The intersection of finTech adoption, HR competency potential, service innovation, and firm growth in the banking sectors using Entropy and TOPSIS Open
[This corrects the article DOI: 10.1371/journal.pone.0313210.].
View article: The intersection of finTech adoption, HR competency potential, service innovation, and firm growth in the banking sectors using Entropy and TOPSIS
The intersection of finTech adoption, HR competency potential, service innovation, and firm growth in the banking sectors using Entropy and TOPSIS Open
The adoption of Financial Technology (FinTech), along with the enhancement of Human Resource (HR) competencies, service innovation, and firm growth, plays a crucial role in the development of the banking sector. Despite their importance, o…
View article: Model Reduction and Chattering Mitigation in Multi-Model Predictive Control for Quadrotor UAVs
Model Reduction and Chattering Mitigation in Multi-Model Predictive Control for Quadrotor UAVs Open
This study introduces a multi-model predictive control (MMPC) framework for quadrotor attitude regulation, combining the high-precision capabilities of nonlinear model predictive control (NMPC) with the computing efficiency of linear model…
View article: Magneto Inductive (MI) Channel Variables Prediction Through Machine Learning Linear Regression Method, for Underwater and Underground WSNs
Magneto Inductive (MI) Channel Variables Prediction Through Machine Learning Linear Regression Method, for Underwater and Underground WSNs Open
In today’s digital era, where information flows seamlessly and is readily available and accessible. However, these information and communication systems are highly dependent on the robustness and adaptability of communication links, which …
View article: Acoustic Sensors data transmission integrity and endurance with IoT-enabled location-aware framework
Acoustic Sensors data transmission integrity and endurance with IoT-enabled location-aware framework Open
Environmental monitoring and disaster mitigation are critical applications of underwater acoustic sensor networks (UASNs). However, UASNs face significant challenges, including high latency, limited bandwidth, and energy constraints. This …
View article: Deep Learning Approaches for Chest Radiograph Interpretation: A Systematic Review
Deep Learning Approaches for Chest Radiograph Interpretation: A Systematic Review Open
Lung diseases are a major global health concern, with nearly 4 million deaths annually, according to the World Health Organization (WHO). Chest X-rays (CXR) are widely used as a cost-effective and efficient diagnostic tool by radiologists …
View article: Fault Tolerant Spectral/Spatial Optical Code Division Multiple Access Passive Optical Network
Fault Tolerant Spectral/Spatial Optical Code Division Multiple Access Passive Optical Network Open
High-capacity communication networks are built to provide high throughput and low latency to accommodate the growing demand for bandwidth. However, the provision of these features is subject to a robust underlying network, which can provid…
View article: Building integrated assessment model for IoT technology deployment in the Industry 4.0
Building integrated assessment model for IoT technology deployment in the Industry 4.0 Open
Internet of Things (IoT) platforms have become the building blocks of any automated system but they are more important in case of industrial systems where sensitive data are captured and handled by the information system. Therefore, it is …
View article: Design of Super Resolution and Fuzzy Deep Learning Architecture for the Classification of Land Cover and Landsliding Using Aerial Remote Sensing Data
Design of Super Resolution and Fuzzy Deep Learning Architecture for the Classification of Land Cover and Landsliding Using Aerial Remote Sensing Data Open
The diversity, noise, interimage interference, image distortion, and increase in the number of classes in aerial remotely sensed dataset cause exertion in the classification. The efficacy and stability of convolutional neural networks incr…
View article: Optimizing marine vehicles industry: a hybrid analytical hierarchy process and additive ratio assessment approach for evaluating and selecting IoT-based marine vehicles
Optimizing marine vehicles industry: a hybrid analytical hierarchy process and additive ratio assessment approach for evaluating and selecting IoT-based marine vehicles Open
Rapid developments in the Internet of Things (IoT) have opened the door for game-changing applications in numerous sectors, especially the vehicle industry. There is a rising demand for efficient assessment and decision-making methodologie…
View article: Prevalence of Anxiety and Depression in COVID-19 Patients and Frontline Healthcare Workers
Prevalence of Anxiety and Depression in COVID-19 Patients and Frontline Healthcare Workers Open
Background: During global health crises such as the COVID-19 pandemic, understanding the psychological impact on both patients and healthcare workers is crucial for effective public health response and support strategies. Objectives: To as…
View article: Emerging Trends and Challenges of IoT in Smart Healthcare Systems, Smart Cities and Education
Emerging Trends and Challenges of IoT in Smart Healthcare Systems, Smart Cities and Education Open
Due to the rapid growth of science and technology, many modern devices are being developed to support healthcare and education systems [...]
View article: Augmented Reality in Zoos (ZAR): Employing an Innovative Image Enhancement Technique and Localization with Offline Features
Augmented Reality in Zoos (ZAR): Employing an Innovative Image Enhancement Technique and Localization with Offline Features Open
Pakistan is not getting tourism exposure due to inadequate digitization and technological advancement availability. Peshawar Zoo is one of the emerging tourist places in the whole province of Khyber PakhtoonKhuwa (KPK) and more than five t…
View article: A comprehensive survey on exploring and analyzing COVID-19 mobile apps: Meta and exploratory analysis
A comprehensive survey on exploring and analyzing COVID-19 mobile apps: Meta and exploratory analysis Open
View article: Real-time precision spraying application for tobacco plants
Real-time precision spraying application for tobacco plants Open
This paper introduces a precision agriculture application aimed at mitigating the excessive utilization of agricultural chemicals, including pesticides and fungicides during crop spraying. The prevailing spraying techniques face two princi…
View article: Implementing Transfer Learning and Domain Adaptation in IoT Analytics
Implementing Transfer Learning and Domain Adaptation in IoT Analytics Open
This chapter explores the optimization of transfer learning techniques tailored for resource-constrained IoT devices, focusing on enhancing model efficiency and performance while minimizing energy consumption. As the proliferation of IoT a…
View article: Robot-based solution for helping Alzheimer patients
Robot-based solution for helping Alzheimer patients Open
Alzheimer's is a progressive and debilitating neurological disorder characterized by cognitive decline, memory loss, and impaired daily functioning. It is an irreversible brain disease that destroys memory, thinking, and the ability to car…
View article: Network Resources Optimization through Regional Computing forVehicular Big Data
Network Resources Optimization through Regional Computing forVehicular Big Data Open
The transportation system is shifting toward an Intelligent Transportation System (ITS). Research shows that a singleAutonomous Vehicle (AV) can generate up to 1 Terabyte (TB) datadaily. Data processing occurs in real-time at the vehicle e…
View article: Detection of renal cell hydronephrosis in ultrasound kidney images: a study on the efficacy of deep convolutional neural networks
Detection of renal cell hydronephrosis in ultrasound kidney images: a study on the efficacy of deep convolutional neural networks Open
In the realm of medical imaging, the early detection of kidney issues, particularly renal cell hydronephrosis, holds immense importance. Traditionally, the identification of such conditions within ultrasound images has relied on manual ana…
View article: New Dimensions for Physical Layer Secret Key Generation: Excursion Lengths-Based Key Generation
New Dimensions for Physical Layer Secret Key Generation: Excursion Lengths-Based Key Generation Open
Physical Layer-based Secret Key Generation (PLSKG) between the legitimate nodes from the reciprocal wireless channel is a vastly studied area of Physical Layer Security (PLS). PLSKG aims to secure the wireless link between the legitimate n…
View article: A Novel Deep Learning Architecture for Agriculture Land Cover and Land Use Classification from Remote Sensing Images Based on Network-Level Fusion of Self-Attention Architecture
A Novel Deep Learning Architecture for Agriculture Land Cover and Land Use Classification from Remote Sensing Images Based on Network-Level Fusion of Self-Attention Architecture Open
AI-driven precision agriculture applications can benefit from the large data source that remote sensing (RS) provides, as it can gather agricultural monitoring data at various scales throughout the year. Numerous advantages for sustainable…