Ahmed Rashid

University of Anbar

In smart cities, biometric technologies have become extensively used for ticket authentication on public transport. Information fusion plays a key role in biometric ticketing, allowing ticket validation with more data source validation in different public transport modes. This paper proposes a novel biometric technology-based mobile ticket applicat...

The remarkable effectiveness of Machine Learning (ML) methodologies has led to a significant increase in their application across various academic domains, particularly in diverse sports sectors. Over the past decade, scholars have utilized Machine Learning (ML) algorithms in football for varied objectives, encompassing the analysis of football pla...

The Internet of Medical Things (IoMT) revolutionizes healthcare, enhances patient care, and optimizes workflows. However, the integration of IoMT introduces concerns related to privacy and security. In addressing these issues and aiming to bolster privacy and data security, this study presents a novel cybersecurity framework based on blockchain (BC...

This research proposes an efficient algorithm for solving the green vehicle routing problem (GVRP), capable of generating high-quality solutions while considering environmental impact and computational efficiency. We employ an adapted grey wolf optimizer (GWO) algorithm and Q-learning (QL) for parameter optimization, introducing a discrete grey wol...

The Internet of medical things (IoMT) is a modern technology that is increasingly being used to provide good healthcare services. As IoMT devices are vulnerable to cyberattacks, healthcare centers and patients face privacy and security challenges. A safe IoMT environment has been used by combining blockchain (BC) technology with artificial intellig...

Combinatorial optimization problems (COPs) are the most important class of optimization problems, with great practical significance. This class is concerned with identifying the best solution from a discrete set of all available options. The transportation (routing) and distribution (scheduling) systems are considered the most challenging optimizat...

Earthquake is one of most devastating natural disasters. The earthquake occurrences prediction , help reduced magnitude of destruction minimized .for Predicting an earthquake's time, magnitude ,depth and location of the earthquake, a variety of techniques have been suggested, such as statistical and mathematical analysis, and a signal investigation...

The ongoing development and improvement of low-power wireless communication technologies enable many new applications to emerge on an Internet of Things (IoT). One of the main areas of healthcare research including new IoT programs to enhance both quality and access to healthcare and smart services; in this paper, we present the IoT hybrid health c...

The Internet of things (IoT) is a network of technologies that support a wide variety of healthcare workflow applications to facilitate users' obtaining real-time healthcare services. Many patients and doctors' hospitals use different healthcare services to monitor their healthcare and save their records on the servers. Healthcare sensors are widel...

r gb]1.00,0.00,0.00Sensor Aware distributed workflow applications are becoming increasingly popular underwater. The apps are marine operations that generate data and process it based on its characteristics. Mobile-fog-cloud paradigms, as well as computing such as sensor nodes, have emerged. As previously stated, the nodes can be combined into a sin...

The delay in transportation of necessary items is due to traffic congestion throughout the world. This is a serious phenomenon which results in waste of time and fuel. The detection of road conditions and dissemination of traffic information efficiently and effectively is a big challenge to authorities. Recently, the technologies of vehicular ad ho...

The major problems in a Wireless Sensor Networks (WSNs) is the localization problem, that relates to how an area covers by the sensor nodes. In this study, the problem formulates as the decision problem, that takes the best location for all sensors in the sensor field. Butterfly Optimization Algorithm (BOA), proposes to calculate the estimate locat...

These days, more and more web are converting into mobile devices such as the internet of things (IoT). These applications are distributed in nature and installed on mobile and servers to achieve many business goals. With this motivation, mobile edge computing (MEC) is an evolving paradigm that reduces the energy consumption of mobile devices throug...

These days, more and more web are converting into mobile devices such as the internet of things (IoT). These applications are distributed in nature and installed on mobile and servers to achieve many business goals. With this motivation, mobile edge computing (MEC) is an evolving paradigm that reduces the energy consumption of mobile devices throug...

The Internet of Medical Things (IoMT) is increasingly being used for healthcare purposes. IoMT enables many sensors to collect patient data from various locations and send it to a distributed hospital for further study. IoMT provides patients with a variety of paid programmes to help them keep track of their health problems. However, the current sy...

Due to the significant role in understanding cellular processes, the decomposition of Protein-Protein Interaction (PPI) networks into essential building blocks, or complexes, has received much attention for functional bioinformatics research in recent years. One of the well-known bi-clustering descriptors for identifying communities and complexes i...

With the tremendous advancement in mobility and networking technology, Vehicle Ad hoc Networks (VANETs) have attracted researchers both from academia and industry. However, despite all his hype, the deployment and connectivity issues in VANETs still need attention. The nature of deployment of the nodes in VANETs environment imposes spares traffic a...

An RFID technology facilitates the work of different industries, it's used widely in many applications, like in the banking system. Banks are trying to give better services to their customers by using modern technologies. This paper presents the identification of persons (customers, employees) in a BANK and to utilize the simulation of this technol...

Internet of Things (IoT) is a network of enormous things that are connected together for data communication. Therefore, IoT objects require an efficient technique for data communication. When transmitter power efficiency and performance improvement are of paramount importance, linear precoded orthogonal frequency division (LP- OFDM) is considered a...

The electronic-passport is majorly used in worldwide. Many countries have started changing their conventional passports to electronic-passports due to upgraded security of the passport holder. Passports and any document probably enhanced using recent technology advancements - Radio Frequency Identification (RFID) technology for e-passports. The e-P...

The detection of protein complexes is an essential NP-hard problem in protein-protein interaction networks (PPI). Modularity, community score, ratio cut, and internal density are some examples of the state-of-the-art optimization models. The contribution of this paper is to develop a heuristic approach that can serve as a common locally assisted op...

Breast cancer is considered to be one of the most threatening issues in clinical practice. However, existing breast cancer diagnosis methods face questions of complexity, cost, human-dependency, and inaccuracy. Recently, many computerized and interdisciplinary systems have been developed to avoid human errors in both quantification and diagnosis. A...

The objects monitoring is a very important research and to effectively monitor objectives of interest it's necessary to be aware of the object's movement direction in a monitored area. This study presents an accurate method to determine the direction of the tagged object through a Radio Frequency Identification (RFID)-based system, using LANDMARC a...

Blindness is the inability to see anything, even light. The term blindness is used for complete or nearly complete vision loss. Visual impairment may cause people difficulties with normal daily activities such as driving, reading, socializing, and walking. The glasses don't replace lost vision but assist with spatial awareness. Anyone using the gla...

While in the near future everything will be tagged with Radio Frequency Identification (RFID) tags, the localization of these tags in their environment is becoming an important feature for many RFID-based ubiquitous computing applications. The problem being tackled here relates to the problem of object location in wireless sensor networks, it is a...

While in the near future everything will be tagged with Radio Frequency Identification (RFID) tags, the localization of these tags in their environment is becoming an important feature for many RFID-based ubiquitous computing applications. The problem being tackled here relates to the problem of object location in wireless sensor networks, it is a...

Recently there has been many works on adaptive subspace filtering in the signal processing literature. Most of them are concerned with tracking the signal subspace spanned by the eigenvectors corresponding to the eigenvalues of the covariance matrix of the signal plus noise data. Many signal subspace-based approaches have already been proposed for...

Many signal subspace-based approaches have already been proposed for determining the fixed Direction of Arrival (DOA) of plane waves impinging on an array of sensors. Two procedures for DOA estimation based neural network are presented. Firstly, Principal Component Analysis (PCA) is employed to extract the maximum eigenvalue and eigenvector from si...

Wireless Sensor Networks (WSNs) are type of distributed embedded systems that are composed of a large number of low cost, low powers, multifunctional mobile sensor nodes. These sensor nodes are small in size and communicate wirelessly in short distances. They are tiny sensor nodes that can perform sensing, data processing and communicating and are...

Recently there has been many works on adaptive subspace filtering in the signal processing literature. Most of them are concerned with tracking the signal subspace spanned by the eigenvectors corresponding to the eigenvalues of the covariance matrix of the signal plus noise data. Minor Component Analysis (MCA) is important tool and has a wide appli...

During the last decade with the rapid increase in indoor wireless communications, location-aware services have received a great deal of attention for commercial, public-safety, and a military application, the greatest challenge associated with indoor positioning methods is moving object data and identification. Mobility tracking and localization ar...