Explanipedia

F-GGRU: a sensor-driven deep learning framework for smart city weather-aware traffic congestion prediction Open

Ali Akbar, Adnan Nadeem, Noureen Zafar, Muhammad Shiraz · 2025

The deployment of various sensors including inductive loops, radars, GPS devices, cameras and floating car data (FCD) in intelligent transportation systems generates a stream of heterogeneous data, further complicated by exogenous factors …

Correction: Akram et al. Towards Big Data Electricity Theft Detection Based on Improved RUSBoost Classifiers in Smart Grid. Energies 2021, 14, 8029 Open

Rehan Akram, Nasir Ayub, Imran Khan, Fahad R. Albogamy, Gul Rukh , et al. · 2024

There was an error in the original publication [...]

Security, trust and privacy risks, responses, and solutions for high-speed smart cities networks: A systematic literature review Open

Abeer Iftikhar, Kashif Naseer Qureshi, Muhammad Shiraz, Saleh Albahli · 2023

High-speed networks are utilized to satisfy user demands by using cloud and edge services. Due to the heterogeneous nature of these networks, security, trust, and privacy are the significant challenges for these networks. These networks ar…

Microservice Application Scheduling in Multi-Tiered Fog-Computing-Enabled IoT Open

Maria Ashraf, Muhammad Shiraz, Almas Abbasi, Omar Alqahtani, Gran Badshah , et al. · 2023

Fog computing extends mobile cloud computing facilities at the network edge, yielding low-latency application execution. To supplement cloud services, computationally intensive applications can be distributed on resource-constrained mobile…

Comparison Analysis of Machine Learning Classification on Apple Fruit Quality Open

Danish ul Khairi, Kamran Ahsan, Gran Badshah, Syed Zeeshan Ali, Syed Akhter Raza , et al. · 2023

This study presents a comparative analysis of classical and deep learning approaches for the classification of apple fruit quality, within the broader context of machine vision applications. Emphasizing the importance of the fruit's physic…

Software Defect Prediction Analysis Using Machine Learning Techniques Open

Aimen Khalid, Gran Badshah, Nasir Ayub, Muhammad Shiraz, Mohamed Ghouse · 2023

There is always a desire for defect-free software in order to maintain software quality for customer satisfaction and to save testing expenses. As a result, we examined various known ML techniques and optimized ML techniques on a freely av…

Comparing COVID-19 vaccine passports attitudes across countries by analysing Reddit comments Open

Muhammet Mücahit Enes Yurtsever, Muhammad Shiraz, Ekin Ekıncı, Süleyman Eken · 2023

Topic mining and sentiment polarity analysis together can adequately represent the topics and attitudes of users. The goal of this article is to use Reddit’s location-based subreddits to look at country-level differences in attitudes towar…

Energy Cost Minimization Using String Matching Algorithm in Geo-Distributed Data Centers Open

Muhammad Imran Khan Khalil, Syed Adeel Ali Shah, Izaz Ahmad Khan, Mohammad Hijji, Muhammad Shiraz , et al. · 2023

Data centers are being distributed worldwide by cloud service providers (CSPs) to save energy costs through efficient workload allocation strategies. Many CSPs are challenged by the significant rise in user demands due to their extensive e…

Renewable-Aware Geographical Load Balancing Using Option Pricing for Energy Cost Minimization in Data Centers Open

Muhammad Imran Khan Khalil, Syed Adeel Ali Shah, Amer Taj, Muhammad Shiraz, Basem Alamri , et al. · 2022

It is becoming increasingly difficult to properly control the power consumption of widely dispersed data centers. Energy consumption is high because of the need to run these data centers (DCs) that handle incoming user requests. The rising…

Auction Mechanism-Based Sectored Fractional Frequency Reuse for Irregular Geometry Multicellular Networks Open

Rahat Ullah, Abdullah Gani, Muhammad Shiraz, Imran Khan, Khalid Zaman · 2022

Modern cellular systems have adopted dense frequency reuse to address the growing amount of mobile data traffic. The system capacity is improved accordingly; however, this is at the cost of augmented Inter-Cell Interference (ICI). Recently…

Entropy and Gaussian Filter-Based Adaptive Active Contour for Segmentation of Skin Lesions Open

Saleem Mustafa, Muhammad Waseem Iqbal, Toqir A. Rana, Arfan Jaffar, Muhammad Shiraz , et al. · 2022

Malignant melanoma is considered one of the deadliest skin diseases if ignored without treatment. The mortality rate caused by melanoma is more than two times that of other skin malignancy diseases. These facts encourage computer scientist…

Transfer Learning Auto-Encoder Neural Networks for Anomaly Detection of DDoS Generating IoT Devices Open

Unsub Shafiq, Muhammad K. Shahzad, Muhammad Anwar, Qaisar Shaheen, Muhammad Shiraz , et al. · 2022

Machine Learning based anomaly detection ap- proaches have long training and validation cycles. With IoT devices rapidly proliferating, training anomaly models on a per device basis is impractical. This work explores the “transfer- ability…

Deep Learning Based Classification of Wrist Cracks from X-ray Imaging Open

Jahangir Jabbar, Muzammil Hussain, Hassaan Malik, Abdullah Gani, Ali Haider Khan , et al. · 2022

Wrist cracks are the most common sort of cracks with an excessive occurrence rate. For the routine detection of wrist cracks, conventional radiography (X-ray medical imaging) is used but periodically issues are presented by crack depiction…

Data Mining Techniques to Analyze the Impact of Social Media on Academic Performance of High School Students Open

Saman Amjad, Muhammad Younas, Muhammad Anwar, Qaisar Shaheen, Muhammad Shiraz , et al. · 2022

The main purpose of educational institutions is to provide quality education to their students. However, it is difficult to analyze large data manually. Educational data mining is more effective as compared to statistical methods used to e…

A Novel Feature Selection Method for Classification of Medical Data Using Filters, Wrappers, and Embedded Approaches Open

Saba Bashir, Irfan Ullah Khattak, Aihab Khan, Farhan Hassan Khan, Abdullah Gani , et al. · 2022

Feature selection is the process of identifying the most relevant features from the given data having a large feature space. Microarray datasets are comprised of high‐quality features and very few samples of data. Feature selection is perf…

Towards Big Data Electricity Theft Detection Based on Improved RUSBoost Classifiers in Smart Grid Open

Rehan Akram, Nasir Ayub, Imran Khan, Fahad R. Albogamy, Gul Rukh , et al. · 2021

The advent of the new millennium, with the promises of the digital age and space technology, favors humankind in every perspective. The technology provides us with electric power and has infinite use in multiple electronic accessories. The…

Traffic Efficiency Models for Urban Traffic Management Using Mobile Crowd Sensing: A Survey Open

Ali Akbar, Nasir Ayub, Muhammad Shiraz, Niamat Ullah, Abdullah Gani , et al. · 2021

The population is increasing rapidly, due to which the number of vehicles has increased, but the transportation system has not yet developed as development occurred in technologies. Currently, the lowest capacity and old infrastructure of …

An Analytical Survey of WSNs Integration with Cloud and Fog Computing Open

Qaisar Shaheen, Muhammad Shiraz, Shariq Aziz Butt, Abdullah Gani, Muazzam A. Khan · 2021

Wireless sensor networks (WSNs) are spatially scattered networks equipped with an extensive number of nodes to check and record different ecological states such as humidity, temperature, pressure, and lightning states. WSN network provides…

A Survey on Modern Cloud Computing Security over Smart City Networks: Threats, Vulnerabilities, Consequences, Countermeasures, and Challenges Open

Abeer Iftikhar, Muhammad Shiraz, Bashir Hayat, Muhammad Idrees, Ahthasham Sajid , et al. · 2021

Cloud Computing (CC) is a promising technology due to its pervasive features, such as online storage, high scalability, and seamless accessibility, in that it plays an important role in reduction of the capital cost and workforce, which at…

Coronavirus disease (COVID-19) detection using X-ray images and enhanced DenseNet Open

Saleh Albahli, Nasir Ayub, Muhammad Shiraz · 2021

Hierarchical Routing Protocols for Wireless Sensor Networks: Functional and Performance Analysis Open

Muhammad Khurram Khan, Muhammad Shiraz, Qaisar Shaheen, Shariq Aziz Butt, Rizwan Akhtar , et al. · 2021

Wireless sensor network (WSN) comprises of spatially distributed autonomous sensors to monitor physical or environmental conditions, such as temperature, sound, and pressure, and to cooperatively forward the collected information to the de…

RBM: Region‐Based Mobile Routing Protocol for Wireless Sensor Networks Open

Muhammad Fahad Mukhtar, Muhammad Shiraz, Qaisar Shaheen, Kamran Ahsan, Rizwan Akhtar , et al. · 2021

Wireless sensor networks (WSNs) are employed for different applications for the reason of small‐sized and low‐cost sensor nodes. However, several challenges that include a low powered battery of the sensor nodes restrict their functionalit…

A Lightweight Location-Aware Fog Framework (LAFF) for QoS in Internet of Things Paradigm Open

Qaisar Shaheen, Muhammad Shiraz, Muhammad Usman Hashmi, Danish Mahmood, Zhiyu Zhu , et al. · 2020

Realization of Internet of Things (IoT) has revolutionized the scope of connectivity and reachability ubiquitously. Under the umbrella of IoT, every object which is smart enough to communicate with other object leads to the enormous data g…

Secure Framework Enhancing AES Algorithm in Cloud Computing Open

Ijaz Ahmad Awan, Muhammad Shiraz, Muhammad Usman Hashmi, Qaisar Shaheen, Rizwan Akhtar , et al. · 2020

The tremendous growth of computational clouds has attracted and enabled intensive computation on resource-constrained client devices. Predominantly, smart mobiles are enabled to deploy data and computational intensive applications by lever…

Towards Short Term Electricity Load Forecasting Using Improved Support Vector Machine and Extreme Learning Machine Open

Waqas Ahmad, Nasir Ayub, Tariq Ali, Muhammad Irfan, Muhammad Awais , et al. · 2020

Forecasting the electricity load provides its future trends, consumption patterns and its usage. There is no proper strategy to monitor the energy consumption and generation; and high variation among them. Many strategies are used to overc…

A Novel Mobile Wallet Model for Elderly Using Fingerprint as Authentication Factor Open

Sarwat Iqbal, Muhammad Irfan, Kamran Ahsan, Muhammad Azhar Hussain, Muhammad Awais , et al. · 2020

Due to the availability of fingerprint verification technology on mobile devices, fingerprint based human identification has become the most widely used biometric technology in everyday life. The elderly find digital payment applications d…

Electricity Price Forecasting for Cloud Computing Using an Enhanced Machine Learning Model Open

Saleh Albahli, Muhammad Shiraz, Nasir Ayub · 2020

Cloud computing is rapidly taking over the information technology industry because it makes computing a lot easier without worries of buying the physical hardware needed for computations, rather, these services are hosted by companies with…

AN IMPROVED PORT KNOCKING AUTHENTICATION FRAMEWORK FOR MOBILE CLOUD COMPUTING Open

Muhammad Shiraz, Laleh Boroumand, Abdullah Gani, Suleman Khan · 2019

The latest developments in mobile cloud computing (MCC) have changed user's priorities for computing. However, the change towards MCC brings new challenges to cloud service providers and administrators. Authentication is one among the chal…

Robust Energy Efficient Management of a Microgrid Open

Muhammad Shiraz, Sadaqat Ali · 2019

Proposed is the energy efficient management system to develop a robust micro grid with lesser loss of probability and efficient with energy. We have presented techniques from the related work and find the optimized technique as well. Our r…

EE‐MRP: Energy‐Efficient Multistage Routing Protocol for Wireless Sensor Networks Open

Muhammad Kamran Khan, Muhammad Shiraz, Kayhan Zrar Ghafoor, Suleman Khan, Ali Safaa Sadiq , et al. · 2018

Wireless sensor networks (WSNs) have captivated substantial attention from both industrial and academic research in the last few years. The major factor behind the research efforts in that field is their vast range of applications which in…

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