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Enhancing CNN for Forensics Age Estimation Using CGAN and Pseudo-Labelling

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Computers, Materials & Continua 2023年第2期74卷 2499-2516页

作者： sultan alkaabi Salman Yussof Sameera al-Mulla Institute of Informatics and Computing in Energy Universiti Tenaga NasionalMalaysia College of Engineering and IT University of DubaiUAE

Age estimation using forensics odontology is an important process in identifying victims in criminal or mass disaster ***,this process is done manually by human ***,the speed and accuracy may vary depending on the expertise level of the human expert and other human factors such as level of fatigue and *** improve the recognition speed and consistency,researchers have proposed automated age estimation using deep learning techniques such as Convolutional Neural Network(CNN).CNN requires many training images to obtain high percentage of recognition ***,it is very difficult to get large number of samples of dental images for training the CNN due to the need to comply to privacy acts.A promising solution to this problem is a technique called Generative Adversarial Network(GAN).GAN is a technique that can generate synthetic images that has similar statistics as the training set.A variation of GAN called Conditional GAN(CGAN)enables the generation of the synthetic images to be controlled more precisely such that only the specified type of images will be *** paper proposes a CGAN for generating new dental images to increase the number of images available for training a CNN model to perform age *** also propose a pseudolabelling technique to label the generated images with proper age and *** used the combination of real and generated images to trainDentalAge and Sex Net(DASNET),which is a CNN model for dental age *** on the experiment conducted,the accuracy,coefficient of determination(R2)and Absolute Error(AE)of DASNET have improved to 87%,0.85 and 1.18 years respectively as opposed to 74%,0.72 and 3.45 years when DASNET is trained using real,but smaller number of images.

关键词： Dental forensics age estimation generative adversarial network pseudo-labelling convolutional neural network

Network Quality Assessment in Heterogeneous Wireless Settings: An Optimization Approach

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Computers, Materials & Continua 2022年第4期71卷 439-455页

作者： sultan H.almotiri Mohammed A.al Ghamdi Computer Science Department College of Computer and Information ScienceUmm AlQura UniversityMakkahKingdom of Saudi Arabia

The identification of an effective network which can efficiently meet the service requirements of the target,while maintaining ultimate performance at an increased level is significant and challenging in a fully interconnected wireless *** wrong selection can contribute to unwanted situations like frustrated users,slow service,traffic congestion issues,missed and/or interrupted calls,and wastefulness of precious network *** schemes estimate the handoff need and cause the network screening process by a single *** strategies are not effective enough because traffic characteristics,user expectations,network terminology and other essential device metrics are not taken into *** article describes an intelligent computing technique based on Multiple-Criteria Decision-Making(MCDM)approach developed based on integrated Fuzzy AHP-TOPSIS which ensures flexible usability and maximizes the experience of end-users in miscellaneous wireless *** different components the handover need is assessed and the desired network is ***,fuzzy sets provide effective solutions to address decision making problems where experts counter uncertainty to make a *** proposed research endeavor will support designers and developers to identify,select and prioritize best attributes for ensuring flexible usability in miscellaneous wireless *** results of this research endeavor depict that this proposed computational procedure would be the most conversant mechanism for determining the usability and experience of end-users.

关键词： Wireless sensor networks fuzzy logic AHP-TOPSIS miscellaneous network intelligent computing techniques

An Ensemble Learning Based Approach for Detecting and Tracking COVID19 Rumors

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Computers, Materials & Continua 2022年第1期70卷 1721-1747页

作者： sultan Noman Qasem Mohammed al-Sarem Faisal Saeed Computer Science Department College of Computer and Information SciencesAl Imam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia Computer Science Department Faculty of Applied ScienceTaiz UniversityTaiz6803Yemen College of Computer Science and Engineering Taibah UniversityMedinaSaudi Arabia Information System Department Saba’a Region UniversityMareebYemen

Rumors regarding epidemic diseases such as COVID 19,medicines and treatments,diagnostic methods and public emergencies can have harmful impacts on health and political,social and other aspects of people’s lives,especially during emergency situations and health *** huge amounts of content being posted to social media every second during these situations,it becomes very difficult to detect fake news(rumors)that poses threats to the stability and sustainability of the healthcare sector.A rumor is defined as a statement for which truthfulness has not been *** COVID 19,people found difficulty in obtaining the most truthful news easily because of the huge amount of unverified information on social *** methods have been applied for detecting rumors and tracking their sources for COVID 19-related ***,very few studies have been conducted for this purpose for the Arabic language,which has unique ***,this paper proposes a comprehensive approach which includes two phases:detection and *** the detection phase of the study carried out,several standalone and ensemble machine learning methods were applied on the Arcov-19 dataset.A new detection model was used which combined two models:The Genetic algorithm Based Support Vector Machine(that works on users’and tweets’features)and the stacking ensemble method(that works on tweets’texts).In the tracking phase,several similarity-based techniques were used to obtain the top 1%of similar tweets to a target tweet/post,which helped to find the source of the *** experiments showed interesting results in terms of accuracy,precision,recall and F1-Score for rumor detection(the accuracy reached 92.63%),and showed interesting findings in the tracking phase,in terms of ROUGE L precision,recall and F1-Score for similarity techniques.

关键词： Rumor detection rumor tracking similarity techniques COVID-19 social media analytics

Enabling Efficient Data Transmission in Wireless Sensor Networks-Based IoT Application

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Computers, Materials & Continua 2024年第6期79卷 4197-4218页

作者： Ibraheem al-Hejri Farag Azzedin sultan almuhammadi Naeem Firdous Syed Information and Computer Science Department King Fahd University of Petroleum andMineralsDhahran31261Saudi Arabia Center for Cyber Resilience and Trust(CREST) Deakin UniversityGeelong3220Australia

The use of the Internet of Things(IoT)is expanding at an unprecedented scale in many critical applications due to the ability to interconnect and utilize a plethora of wide range of *** critical infrastructure domains like oil and gas supply,intelligent transportation,power grids,and autonomous agriculture,it is essential to guarantee the confidentiality,integrity,and authenticity of data collected and ***,the limited resources coupled with the heterogeneity of IoT devices make it inefficient or sometimes infeasible to achieve secure data transmission using traditional cryptographic ***,designing a lightweight secure data transmission scheme is becoming *** this article,we propose lightweight secure data transmission(LSDT)scheme for IoT *** consists of three phases and utilizes an effective combination of symmetric keys and the Elliptic Curve Menezes-Qu-Vanstone asymmetric key agreement *** design the simulation environment and experiments to evaluate the performance of the LSDT scheme in terms of communication and computation *** and performance analysis indicates that the LSDT scheme is secure,suitable for IoT applications,and performs better in comparison to other related security schemes.

关键词： IoT lightweight computation complexity communication overhead cybersecurity threats threat prevention secure data transmission Wireless Sensor Networks(WSNs) elliptic curve cryptography

Investigation of photon energy absorption properties for some biomolecules

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Nuclear Science and Techniques 2019年第7期30卷 1-9页

作者： Mohammed sultan al-Buriahi Halil Arslan Baris T. Tonguc Department of Physics Sakarya University Sakarya Turkey Electrical and Electronics Engineering Sakarya University of Applied Sciences Sakarya Turkey

The mass energy absorption coefficient (len=q), effective atomic number (ZPEAeff ), and electron density (NPEAeff ) of some biomolecules with potential application in radiation dosimetry were calculated for their photon energy absorption (PEA) in the energy region of 1–20 MeV. It was noticed that the values of len=q, ZPEAeff , and NPEAeff vary with the energy and composition of the biomolecules. The results for ZPEAeff were compared with effective atomic numbers (ZPIeff ) owing to the photon interaction (PI). Significant differences were noted between ZPEAeff and ZPIeff in the energy region of 10–150 keV for all of the biomolecules involved. A maximum difference of 45.36% was observed at 50 keV for creatinine hydrochloride. Moreover, the studied attenuation parameters were found to be sharply affected at the K-absorption edge of relatively high-Z elements present in the biomolecules.

关键词： Photon energy absorption Effective atomic number Electron density Biomolecule

Opposite Modulatory Effects of Crataegus aronia Aqueous Extract on Platelet Aggregation in Rats

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Chinese Journal of Integrative Medicine 2021年第9期27卷 696-704页

作者： Abdullah S.Shatoor ali Shati S.al Humayed sultan al-Qahtani Mahmoud alkhateeb Department of Medicine Cardiology SectionCollege of MedicineKing Khalid UniversityAbha(64121)Saudi Arabia Department of Biology College of ScienceCollege of MedicineKing Khalid UniversityAbha(64121)Saudi Arabia Department of Physiology College of MedicineKing Saud bin Abdulaziz University for Health SciencesRiyadh(11481)Saudi Arabia

Objectives:To reveal the mechanisms behind the dual effects of Crataegus aronia(***)aqueous extract on platelet aggregation by focusing on function,regulation,expression,and signaling of platelets P_(2)Y_(12)***:Adult male Wistar rats(120±10 g)were classified as control received the vehicle,***(200 mg/kg),and ***(2,000 mg/kg)-treated *** treatments for consecutive 7 days,hematological and molecular experiments were conducted to detect alterations in platelet aggregation,thromboxane B2(THXB2)and intracellular reactive oxygen species(ROS)content;protein levels of P_(2)Y_(12),p-Akt,cyclic adenosine monophosphate(c AMP),phosphorylated vasodilator-stimulated-phosphoprotein(p-VASP),nuclear factorκB(NF-κB),P-selectin,*** platelets were determined by Western blot;m RNA expressions of P_(2)Y_(12)and some inflammatory markers were determined by real-time polymerase chain ***:At a concentration of 200 mg/kg,*** inhibited platelet aggregation through multiple interconnected mechanisms including downregulation P_(2)Y_(12)synthesis and expression,stimulating intracellular cAMP levels and protein levels of p-VASP,inhibiting platelets THXB2 release and protein levels of ***,it inhibited platelets level of ROS and of NF-κB,a major signaling pathway that stimulates the expression of P_(2)Y_(12)and THXA2 *** findings were seen in platelets of rats received *** at a concentration of 2,000 mg/***,co-administration of N-acetylcysteine prevented all hematological and molecular alterations exerted by the high dose of the extract and inhibited platelet ***:Oral administration of *** at low dose inhibits platelet aggregation by reducing THXB2 release,expression of P-selectin and activating c AMP and Akt signaling through two major mechanisms including downregulation of P_(2)Y_(12)and inhibition of ROS-induced activation of NF-κB,an effect that is observed to be in the

关键词： Crataegus aronia platelets aggregation P_(2)Y_(12) Intracellular cyclic adenosine monophosphate reactive oxygen species nuclear factorκB

Split internal-loop photobioreactor for Scenedesmus ***:Culturing and hydrodynamics

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Chinese Journal of Chemical Engineering 2021年第5期34卷 236-248页

作者： Laith S.Sabri Abbas J.sultan Muthanna H.al-Dahhan Multiphase Flow and Reactors Engineering and Application Laboratory(mReal) Chemical and Biochemical Engineering DepartmentMissouri University of Science and TechnologyRollaMO65409-1230.USA University of Technology Chemical Engineering DepartmentBaghdadIraq

In this study,the evaluation of the performance of the split internal loop photobioreactor for culturing a species of green microalgae,Scenedesmus *** different operating superficial gas velocity and during a different time of growth(i.e.,starting for the first day until end day of the culturing process)was *** evaluation of the performance of the split internal loop photobioreactor was included assessing the density,pH,temperature,viscosity,surface tension,the optical density,cell population,dry biomass,and chlorophyll of the culture medium of the microalgae ***,the hydrodynamics of a Split Internal-Loop Photobioreactor with microalgae culturing was comprehensively *** particle tracking(RPT)and gamma-ray computed tomography(CT)techniques were applied for the first time to quantify and address the influence of microalgae culture on the hydrodynamic *** hydrodynamics parameters such as local liquid velocity field,shear stresses,turbulent kinetic energy,and local gas holdup profiles were measured at different superficial gas velocities as well as under different times of algae *** obtained results indicate that the flow distribution may significantly affect the performance of the photobioreactor,which may have substantial effects on the cultivation *** obtained experimental data can serve as benchmark data for the evaluation and validation of computational fluid dynamics(CFD)codes and their ***,in turn,allows us to develop efficient reactors and consequently improving the productivity and selectivity of these photobioreactors.

关键词： Scenedesmus microalgae Cylindrical airlift photobioreactor Physical properties Non-invasive gamma-ray technique

Deep Learning Control for Autonomous Robot

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Computers, Materials & Continua 2022年第8期72卷 2811-2824页

作者： Rihem Farkh Saad alhuwaimel sultan alzahrani Khaled al Jaloud Mohammad Tabrez Quasim College of Engineering Muzahimiyah BranchKing Saud UniversityRiyadh11451Saudi Arabia Laboratory for Analysis Conception and Control of SystemsLR-11-ES20Department of Electrical Engineering National Engineering School of TunisTunis El Manar University1002Tunisia King Abdulaziz City for Science and Technology Saudi Arabia College of Computing and Information Technology University of BishaBisha67714Saudi Arabia

Several applications of machine learning and artificial intelligence,have acquired importance and come to the fore as a result of recent advances and improvements in these *** cars are one such *** is expected to have a significant and revolutionary influence on *** with smart cities,new infrastructure and urban planning with sophisticated cyber-security are some of the current ramifications of self-driving *** autonomous automobile,often known as selfdriving systems or driverless vehicles,is a vehicle that can perceive its surroundings and navigate predetermined routes without human *** are on the verge of evolving into autonomous robots,thanks to significant breakthroughs in artificial intelligence and related technologies,and this will have a wide range of socio-economic ***,in order for these automobiles to become a reality,they must be endowed with the perception and cognition necessary to deal with high-pressure real-life events and make proper judgments and take appropriate *** majority of self-driving car technologies are based on computer systems that automate vehicle control *** forward-collision warning and antilock brakes to lane-keeping and adaptive drive control,to fully automated driving,these technological components have a wide range of capabilities.A self-driving car combines a wide range of sensors,actuators,and *** researches on computer vision and deep learning are used to control autonomous driving *** self-driving automobiles,lane-keeping is *** study presents a deep learning approach to obtain the proper steering angle to maintain the robot in the *** propose an advanced control for a selfdriving robot by using two controllers *** neural networks(CNNs)are employed,to predict the car’and a proportionalintegral-derivative(PID)controller is designed for speed and steering *** stu

关键词： Autonomous car cascade PID control deep learning convolutional neural network differential drive system raspberry PI road lane detector

Dissolution mechanism and kinetics ofβ(Mg_(17)al_(12))phases in AZ91 magnesium alloy

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Journal of Magnesium and alloys 2024年第4期12卷 1581-1592页

作者： sultan alomairy Department of Physics College of ScienceTaif UniversityTaif 21944Saudi Arabia

In this study,the phase transformations,crystallization kinetics and dissolution mechanism ofβphase(Mg_(17)al_(12))in magnesium alloy AZ91 were investigated by optical microscopy,X-ray diffraction,differential scanning calorimetry and differential *** results indicate that this AZ91 alloy undergoes a phase transformation during aging,a discontinuous precipitation of theβphase(Mg_(17)al_(12))at 150℃at the grain boundaries and another continuous at 350℃within the *** activation energy of the dissolution reaction of theβphase(Mg_(17)al_(12))under non-isothermal conditions is 116.781 kJ/mol,while it is 129.7383 kJ/mol under isothermal *** Avrami coefficient,n,relevant for the dissolution kinetics of theβphase(Mg_(17)al_(12))is 1.152 and 1.211 in the non-isothermal and isothermal conditions *** numerical coefficients m and Avrami n are 0.993 and 1.152.

关键词： AZ91 kinetics β(Mg_(17)al_(12)) Activation energy Discontinuous precipitation Continuous precipitation DSC