Browsing Department of Information and Communication Technology by Author "Sajid Ullah, Syed"
Now showing items 21-40 of 46
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An Ensemble Model for Consumer Emotion Prediction Using EEG Signals for Neuromarketing Applications
Shah, Syed Mohsin Ali; Usman, Syed Muhammad; Khalid, Shehzad; Rehman, Ikram Ur; Anwar, Aamir; Hussain, Saddam; Sajid Ullah, Syed; Elmannai, Hela; Algarni, Abeer D.; Manzoor, Waleed (Peer reviewed; Journal article, 2022)Traditional advertising techniques seek to govern the consumer’s opinion toward a product, which may not reflect their actual behavior at the time of purchase. It is probable that advertisers misjudge consumer behavior ... -
Evaluation of Deep Learning and Conventional Approaches for Image Recaptured Detection in Multimedia Forensics
Hussain, Israr; Hussain, Dostdar; Kohli, Rashi; Ismail, Muhammad; Hussain, Saddam; Sajid Ullah, Syed; Alroobaea, Roobaea; Ali, Wajid; Umar, Fazlullah (Peer reviewed; Journal article, 2022)Image recaptured from a high-resolution LED screen or a good quality printer is difficult to distinguish from its original counterpart. The forensic community paid less attention to this type of forgery than to other image ... -
Experimental study to optimize cold working, aging temperature, and time on the properties of AA6061 tubes: analysis using design of experiment
Mehmood, Arshad; Akhtar, Kareem; Noor, Sahar; Zahir, M. Zeeshan; Ullah, Barkat; Khan, Razaullah; Salah, Bashir; Sajid Ullah, Syed (Peer reviewed; Journal article, 2023)The purpose of this study is to examine the impact of various process parameters, such as cold work, aging temperature, and aging time, on the yield strength, ultimate tensile strength (UTS), and elongation of AA6061 tubes. ... -
Exploring Lightweight Deep Learning Solution for Malware Detection in IoT Constraint Environment
Khan, Abdur Rehman; Yasin, Amanullah; Usman, Syed Muhammad; Hussain, Saddam; Khalid, Shehzad; Sajid Ullah, Syed (Peer reviewed; Journal article, 2022): The present era is facing the industrial revolution. Machine-to-Machine (M2M) communication paradigm is becoming prevalent. Resultantly, the computational capabilities are being embedded in everyday objects called things. ... -
Exploring synchronization and lift suppression in fluid flow around vibrating cylinder: a parallel CFD and global optimization investigation
Mehmood, Arshad; Salah, Bashir; Sajid Ullah, Syed; Khan, Shahbaz; Khan, Razaullah (Peer reviewed; Journal article, 2023)In this study, we employ a parallel Computational Fluid Dynamics (CFD) code integrated with the VTDIRECT95 algorithm, a parallel deterministic global optimization method, to conduct global optimization for an oscillating ... -
Exploring the mechanical, tribological, and morphological characteristics of areca fiber epoxy composites reinforced with various fillers for multifaceted applications
Miniappan, P.K.; Marimuthu, S.; Dharani Kumar, Kumar; Sharma, Shubham; Kumar, Abhinav; Salah, Bashir; Sajid Ullah, Syed (Peer reviewed; Journal article, 2023)This investigation is primarily concerned with the effect of fly ash, basalt powder, and tungsten carbide (WC) on the mechanical, microstructural, and tribological behaviour of areca fiber-reinforced composites. The fillers ... -
Face Mask Detection Using Deep Convolutional Neural Network and MobileNetV2-Based Transfer Learning
Hussain, Dostdar; Ismail, Muhammad; Hussain, Israr; Alroobaea, Roobaea; Hussain, Saddam; Sajid Ullah, Syed (Peer reviewed; Journal article, 2022) -
Federated transfer learning with orchard-optimized Conv-SGRU: A novel approach to secure and accurate photovoltaic power forecasting
Salman Bukhari, Syed Muhammad; Raza Moosavi, Syed Kumayl; Zafar, Muhammad Hamza; Mansoor, Majad; Mohyuddin, Hassan; Sajid Ullah, Syed; Alroobaea, Roobaea; Sanfilippo, Filippo (Peer reviewed; Journal article, 2023)Accurate photovoltaic (PV) power forecasting is pivotal for optimizing the integration of RES into the grid and guaranteeing proficient energy management. Concurrently, the sensitive nature of data obtained from individual ... -
Hardware Trojan Mitigation Technique in Network-on-Chip (NoC)
Hussain, Musharraf; Baloach, Naveed Khan; Ali, Gauhar; ElAffendi, Mohammed; Dhaou, Imed Ben; Sajid Ullah, Syed; Uddin, Mueen (Peer reviewed; Journal article, 2023)Due to globalization in the semiconductor industry, malevolent modifications made in the hardware circuitry, known as hardware Trojans (HTs), have rendered the security of the chip very critical. Over the years, many methods ... -
Impact of moisture content, closing speed, and pressurizing speed on the performance of medium density fiberboard (MDF)
Gul, Waheed; Ahmad, Naveed; Mohammad, Shoaib; Salah, Bashir; Sajid Ullah, Syed; Khurram, Muhammad; Khan, Razaullah (Peer reviewed; Journal article, 2023)Thepurpose of this research is to investigate the impact of moisture content, closing speed, and pressurizing speed of hot press on the density, uniformity of density distribution, and properties of Medium Density Fiberboard ... -
In the Direction of Service Guarantees for Virtualized Network Functions
Rathore, Muhammad Siraj; Ahmad, Naveed; Kohli, Rashi; Iqbal, Jawaid; Alroobaea, Roobaea; Hussain, Saddam; Sajid Ullah, Syed; Umar, Fazlullah (Peer reviewed; Journal article, 2022)The trend of consolidating network functions from specialized hardware to software running on virtualization servers brings significant advantages for reducing costs and simplifying service deployment. However, virtualization ... -
Internet of Things with Deep Learning-Based Face Recognition Approach for Authentication in Control Medical Systems
Hussain, Tahir; Hussain, Dostdar; Hussain, Israr; Alsalman, Hussain; Hussain, Saddam; Sajid Ullah, Syed; Al-Hadhrami, Suheer (Peer reviewed; Journal article, 2022)Internet of Things (IoT) with deep learning (DL) is drastically growing and plays a significant role in many applications, including medical and healthcare systems. It can help users in this field get an advantage in terms ... -
Internet of Things-Based Fire Alarm Navigation System: A Fire-Rescue Department Perspective
Ehsan, Ibtisam; Mumtaz, Asia; Khalid, Muhammad Irfan; Iqbal, Jawaid; Hussain, Saddam; Sajid Ullah, Syed; Umar, Fazlullah (Peer reviewed; Journal article, 2022)In the past few years, fire alarm systems have become increasingly sophisticated and more capable and reliable. The two main objectives are the protection of life and property. As a result of state and local codes, fire ... -
A Machine Learning in Binary and Multiclassification Results on Imbalanced Heart Disease Data Stream
Hamid, Danish; Sajid Ullah, Syed; Iqbal, Jawaid; Hussain, Saddam; Hassan, Ch. Anwar Ul; Umar, Fazlullah (Peer reviewed; Journal article, 2022) -
A Machine Learning-Based Intelligence Approach for Multiple-Input/Multiple-Output Routing in Wireless Sensor Networks
Sridhar, V.; Ranga Rao, Rao; Vinay Kumar, Kumar; Mukred, Muaadh; Sajid Ullah, Syed; Alsalman, Hussain (Peer reviewed; Journal article, 2022)Computational intelligence methods play an important role for supporting smart networks operations, optimization, and management. In wireless sensor networks (WSNs), increasing the number of nodes has a need for transferring ... -
Machine Learning: The Backbone of Intelligent Trade Credit-Based Systems
Shah, Faiza; Liu, Yumin; Anwar, Aamir; Shah, Yasir; Alroobaea, Roobaea; Hussain, Saddam; Sajid Ullah, Syed (Peer reviewed; Journal article, 2022)Technology has turned into a significant differentiator in the money and traditional recordkeeping systems for the financial industry. To depict two customers as potential investors, it is mandatory to give the complex ... -
Malware Detection in Internet of Things (IoT) Devices Using Deep Learning
Riaz, Sharjeel; Latif, Shahzad; Usman, Syed Muhammad; Sajid Ullah, Syed; Algarni, Abeer D.; Yasin, Amanullah; Anwar, Aamir; Elmannai, Hela; Hussain, Saddam (Peer reviewed; Journal article, 2022)Internet of Things (IoT) devices usage is increasing exponentially with the spread of the internet. With the increasing capacity of data on IoT devices, these devices are becoming venerable to malware attacks; therefore, ... -
Network Threat Detection Using Machine/Deep Learning in SDN-Based Platforms: A Comprehensive Analysis of State-of-the-Art Solutions, Discussion, Challenges, and Future Research Direction
Ahmed, Naveed; Ngadi, Asri Bin; Sharif, Johan Mohamad; Hussain, Saddam; Uddin, Mueen; Rathore, Muhammad Siraj; Iqbal, Jawaid; Abdelhaq, Maha; Alsaqour, Raed; Sajid Ullah, Syed; Zuhra, Fatima Tul (Peer reviewed; Journal article, 2022)A revolution in network technology has been ushered in by software defined networking (SDN), which makes it possible to control the network from a central location and provides an overview of the network’s security. Despite ... -
A New Correlation Coefficient for T-Spherical Fuzzy Sets and Its Application in Multicriteria Decision-Making and Pattern Recognition
Ali, Wajid; Ali, Mehboob; Hussain, Israr; Sajid Ullah, Syed; Alroobaea, Roobaea; Hussain, Saddam; Binmahfoudh, Ahmed; Umar, Fazlullah (Peer reviewed; Journal article, 2022)The goal of this paper is to design a new correlation coefficient for -spherical fuzzy sets (TSFSs), which can accurately measure the nature of correlation (i.e., positive and negative) as well as the degree of relationship ... -
A Novel Approach to Automate Complex Software Modularization Using a Fact Extraction System
Khan, Muhammad Zakir; Naseem, Rashid; Anwar, Aamir; Haq, Ijaz Ul; Alturki, Ahmad; Sajid Ullah, Syed; Al-Hadhrami, Suheer A. (Peer reviewed; Journal article, 2022)Complex software systems that support organizations are updated regularly, which can erode system architectures. Moreover, documentation is rarely synchronized with the changes to the software system. This creates a slew ...