Eman H. Alkhammash's research while affiliated with Taif University and other places

Publications (42)

Article
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In modern society, the food supply chain management system has become an important research area realized nationally and internationally, which has established a collaborative relationship between producers, manufacturers, processors and retailers. Now, consumers are more interested in food quality, safety and the authentication of the products. Fo...
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The Lemur Optimizer (LO) is a novel nature-inspired algorithm we propose in this paper. This algorithm’s primary inspirations are based on two pillars of lemur behavior: leap up and dance hub. These two principles are mathematically modeled in the optimization context to handle local search, exploitation, and exploration search concepts. The LO is...
Article
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In recent years data science has been applied in a variety of real-life applications such as hu-man-computer interaction applications, computer gaming, mobile services, and emotion evaluation. Among the wide range of applications, speech emotion recognition (SER) is also an emerging and challenging research topic. For SER, recent studies used handc...
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The forecasting of crude oil production is essential to economic plans and decision-making in the oil and gas industry. Several techniques have been applied to forecast crude oil production. Artificial Intelligence (AI)-based techniques are promising that have been applied successfully to several sectors and are capable of being applied to differen...
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Coronavirus biologically named COVID-19 is a disease that is circulating throughout the world due to its viral nature. The interaction of people is a source of spreading of coronavirus. Millions of people have been affected by this virus, and most of them have lost their lives. At present, this viral disease has grown into a worldwide pandemic whic...
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Unmanned Aerial Vehicles (UAVs) seem to be the most efficient way of achieving the intended aerial tasks, according to recent improvements. Various researchers from across the world have studied a variety of UAV formations and path planning methodologies. However, when unexpected obstacles arise during a collective flight, path planning might get c...
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Gender recognition by voice is a vital research subject in speech processing and acoustics, as human voices have many remarkable characteristics. Voice recognition is beneficial in a variety of applications, including mobile health care systems, interactive systems, crime analysis, and recognition systems. Several algorithms for voice recognition h...
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A system that can fly off and touches down to execute particular tasks is a flying robot. Nowadays, these flying robots are capable of flying without human control and make decisions according to the situation with the help of onboard sensors and controllers. Among flying robots, Unmanned Aerial Vehicles (UAVs) are highly attractive and applicable...
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The Internet of Things (IoT) is a widely used technology in automated network systems across the world. The impact of the IoT on different industries has occurred in recent years. Many IoT nodes collect, store, and process personal data, which is an ideal target for attackers. Several researchers have worked on this problem and have presented many...
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This research offers an improved method for the self-organization of a swarm of UAVs based on a social learning approach. To start, we use three different colonies and three best members i.e., unmanned aerial vehicles (UAVs) randomly placed in the colonies. This study uses max-min ant colony optimization (MMACO) in conjunction with social learning...
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The smart grid is characterized as a power system that integrates real-time measurements, bi-directional communication, a two-way flow of electricity, and evolutionary computation. The power distribution system is a fundamental aspect of the electric power system in order to deliver safe, efficient, reliable, and resilient power to consumers. A dis...
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A vehicular ad hoc network (VANET) is an emerging technology that improves road safety, traffic efficiency, and passenger comfort. VANETs’ applications rely on co-operativeness among vehicles by periodically sharing their context information, such as position speed and acceleration, among others, at a high rate due to high vehicles mobility. Howeve...
Chapter
Smart textile is a new direction in the textile domain that aims to integrate technologies in designing and manufacturing functional textiles. Fabrics. The advancement of digital textile innovation is gaining ground in textile technology. A digital twin is a promising technology for the classical textile industry and smart garments. Digital twin co...
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VANETs have gained much attention from both industry and academia because of their characteristics, such as dynamic topology. There are various applications of VANETs that are classified on the basis of safety, efficiency, commercial usage, and productive areas. This paper presents an IoT-based formal model for vehicle-life integration enabling RSU...
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is paper presents optimized linear regression with multivariate adaptive regression splines (LR-MARS) for predicting crude oil demand in Saudi Arabia based on social spider optimization (SSO) algorithm. e SSO algorithm is applied to optimize LR-MARS performance by fine-tuning its hyperparameters. e proposed prediction model was trained and tested u...
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On-path caching is the prominent module in Content-Centric Networking (CCN), equipped with the capability to handle the demands of future networks. The main focus of the CCN caching module is data dissemination within the network. Most of the existing strategies of in-network caching in CCN store the content at the maximum number of routers along t...
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Electricity theft is considered one of the most significant reasons of the non technical losses (NTL). It negatively influences the utilities in terms of the power supply quality, grid’s safety, and economic loss. Therefore, it is necessary to effectively deal with the electricity theft problem. For detecting electricity theft in smart grids (SGs),...
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In the underlying work, the problems faced during message dissemination in the conventional Vehicular Energy Networks (VENs) like lack of security, breach of personal identities, absence of trust between vehicle owners, etc., are tackled. In this study, a Blockchain (BC) based announcement system is proposed for VENs to ensure secure and reliable a...
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Smart city systems do not only handle information but also handle many critical aspects of citizens’ lives, including automobiles, healthcare, banking, etc. Smart city systems need to be both safe and secure systems. Therefore, this paper uses formal methods to develop safe and secure systes for smart city. However, because the creation of formal m...
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Forests are an enduring component of the natural world and perform a vital role in protecting the environment. Forests are valuable resources to control global warming and provide oxygen for the survival of human life, including wood for households. Forest fires have recently emerged as a major threat to biological processes and the ecosystem. Unfo...
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This paper presents a new contribution of the nonlinear control technique of electrical energy in a wind energy system. The nonlinear sliding mode technique used to control the powers of the DFIG-Generator is connected to the power grid by two converters (grid side and machine side). The proposed model is validated using tracking and robustness tes...
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The rapid emergence of the novel SARS-CoV-2 poses a challenge and has attracted worldwide attention. Artificial intelligence (AI) can be used to combat this pandemic and control the spread of the virus. In particular, deep learning-based time-series techniques are used to predict worldwide COVID-19 cases for short-term and medium-term dependencies...
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In this study, a novel control approach for a doubly-fed induction generator (DFIG) is developed and applied to improve the system's dynamic response and performance for providing high energy quality while avoiding harmonic accumulations. Because of its ease of implementation , field-oriented control (FOC) is frequently used. This control has great...
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Wireless Sensors Networks have been the focus of significant attention from research and development due to their applications of collecting data from various fields such as smart cities, power grids, transportation systems, medical sectors, military, and rural areas. Accurate and reliable measurements for insightful data analysis and decision-maki...
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The purpose of this study is to offer an adaptive hybrid controller for the formation control of multiple unmanned aerial vehicles (UAVs) leader-follower configurations with communication delay. Although numerous studies about the control of the formation exist, very few incorporate the delay in their model and are adaptive as well. The motivation...
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Internet of things (IoT) is playing a major role in smart cities to make a digital environment. Traffic congestion is a serious road issue because of an increasing number of vehicles in urban areas. Some crucial traffic problems include accidents and traffic jams that cause waste of fuel, health diseases, and a waste of time. Present traffic signal...
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The purpose of this paper is to develop a fixed-wing aircraft that has the abilities of both vertical take-off (VTOL) and a fixed-wing aircraft. To achieve this goal, a prototype of a fixed-wing gyroplane with two propellers is developed and a rotor can maneuver like a drone and also has the ability of vertical take-off and landing similar to a hel...
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Software-defined network (SDN) is a new paradigm that decouples the control plane and data plane. This offered a more flexible way to efficiently manage the network. However, the increasing number of traffics due to the proliferation of the Internet of Things (IoT) devices also increase the number of flow arrival which in turn causes flow rules to...
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Coordinated speed of interconnected motors has vast application in the industry. Typically, the smooth operation of the system relies on the coordinated speed of the multiple motors such as the conveyer belt system. Thus, the problem to have coordinated speed in a network-connected motor is mostly dealt with wire-connected architectures such as cro...
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The paper presents a recommendation model for developing new smart city and smart health projects. The objective is to provide recommendations to citizens about smart city and smart health startups to improve entrepreneurship and leadership. These recommendations may lead to the country’s advancement and the improvement of national income and reduc...
Chapter
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Pigeon Inspired Optimization (PIO) algorithm is gaining popularity since its development due to faster convergence ability with great efficiencies when compared with other bio-inspired algorithms. The navigation capability of homing pigeons has been precisely used in Pigeon Inspired Optimization algorithm and continuous advancement in existing algo...
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Technological advances integrating emotional maturity with established IoT systems are being examined with the emergence of the fourth industrial revolution. In this article, researchers propose an emotion-based music recommendation and classification framework (EMRCF) categorizing songs with high precision following individuals’ interpersonal team...
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Cloud computing plays an essential role as a source for outsourcing data to perform mining operations or other data processing, especially for data owners who do not have sufficient resources or experience to execute data mining techniques. However, the privacy of outsourced data is a serious concern. Most data owners are using anonymization-based...
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This paper addresses the path planning and control of multiple colonies/clusters that have unmanned aerial vehicles (UAV) which make a network in a hazardous environment. To solve the aforementioned issue, we design a new and novel hybrid algorithm. As seen in the mission requirement, to combine the Maximum-Minimum ant colony optimization (ACO) wit...
Article
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Extracting the relations between medical concepts is very valuable in the medical domain. Scientists need to extract relevant information and semantic relations between medical concepts, including protein and protein, gene and protein, drug and drug, and drug and disease. These relations can be extracted from biomedical literature available on vari...
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Consumer feedback is highly valuable in business to assess their performance and is also beneficial to customers as it gives them an idea of what to expect from new products. In this research, the aim is to evaluate different deep learning approaches to accurately predict the opinion of customers based on mobile phone reviews obtained from Amazon.c...

Citations

... Padi et al. [37] proposed to augment a combination of spectral and time domain features using multi-window data augmentation instead of single window approach with a CNN model for SER. Al-onazi et al. [38] also proposed to augment a combination of first and second delta MFCCs, chroma grams, tonnetz, and spectral contrast which were used as input to a transformer-based SER model. In [39], harmonic and percussive components were extracted from the mel spectrograms and later concatenated with the mel spectrograms to form augmented input to a pre-trained VGG16 model for SER. ...
... Among all the various forecasting algorithms in ML, Linear Regression (LR) model is one of the common ML algorithms which also includes Ridge Regressions (RR) and Lasso Regressions (LaR) [10,11]. Other commonly used ML approaches are Decision Tree (DT) [12][13][14], Random Forest (RF) [15][16][17], Support Vector Machine (SVM) [18][19][20][21][22], Gradient Boosting Machine (GBM) [23][24][25][26], K Nearest Neighbors (KNN) [27][28][29][30], and Artificial Neural Network (ANN) [31][32][33][34]. Recently, Successful ML models using out-of-sample data set over predicted housing pricing, including support vector regression, regression tree, random forecast, bagging, boosting, Ridge and Lasso, and ensemble learning, have been discovered to be more efficient and realistic [35][36][37]. ...
... Deep learning (DL) and machine learning (ML) applications in the oil sector cover different applications, including forecasting oil production [11,12] forecasting pressure volume temperature (PVT) [4,13,14] forecasting oil demands [15,16] and detecting oil spills [17]. ...
... Taken as a hard optimization problem with contradictory objectives and constraints, the path planning problem with collision avoidance challenges requires many other capabilities of resolution algorithms in terms of search diversity, escape of local minima, nonpremature convergence, and computation time fastness to deal with the complexity of dynamic navigation environments. In recent years, interesting metaheuristics approaches have been proposed to solve a wide range of multicriteria path planning problems for UAVs in static and dynamic environments [17]. In [18], an algorithm based on both ant colony optimization and artificial potential field technique was proposed to solve UAV path planning problems in an environment with dynamic threats. ...
... The cost function is constructed using the paths walked and clusters allocated. Whales choose another node and allocate a cluster to it utilizing the probabilistic transition rules (4) and (5).The procedure in which each uses pheromones to indicate the separation between two nodes, increasing the desirability of an edge for the next choice [20].The k ′ u,v (a) variable quantifies the number of pheromones for this border. For picking nodes, the heuristic functional k ′ u,v (a) is constructed, which calculates in Equ (6): ...
... Besides, ML and DL techniques are used in other fields such as transport, healthcare, agriculture, etc. Recently, many ML and DL-based models have been proposed to tackle the problem of NTLs [7]- [11]. These approaches employ the EC readings' history of consumers to analyze the data to detect NTLs in SGs. ...
... As revealed by scientists, movement in formation may help the animal swarm to save energy and increase efficiency for long distance migration [3]. Inspired by these intriguing swarming behaviors of living creatures, formation control for various types of unmanned swarm systems has been widely investigated by both the control and robotic communities, such as ground mobile robots [4], unmanned aerial vehicles [5], and autonomous underwater vehicles [6], just to name a few. There are two key control objectives for formation control. ...
... Recently, studies are being conducted to incorporate IoT into smart grids [12][13][14][15][16][17][18][19][20][21]. However, they are focused on developing web services using IoT. ...
... Node-centric IDSs determine whether a vehicle is malicious based on how it behaves on the road section [19]. The trustworthiness of legitimate vehicles is also assessed based on such behavior, which can be perceived by observing the number and validity of BSM messages shared by the vehicle [20,21]. ...
... Today's world is focusing more on the IoT due to its wide range of applications from human-centric to industry 4.0/industry 5.0. Nevertheless, device-to-device (D2D), machine-to-machine (M2M) and vehicle-to-vehicle (V2V)/V2X communication technologies constitute the real applications showing the widespread advantages of the IoT [3][4][5][6][7][8][9]. Furthermore, reliable data transmission with low latency is another key challenge for successful IoT applications [10]. ...