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Affective State Recognition Using Thermal-Based Imaging: A Survey

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Computer Systems Science & Engineering 2021年第4期37卷 47-62页

作者： mustafa m.m.al qudah Ahmad S.A.mohamed Syaheerah L.Lutfi School of Computer Sciences Universiti Sains MalaysiaPenang11800Malaysia

The thermal-based imaging technique has recently attracted the attention of researchers who are interested in the recognition of human affects dueto its ability to measure the facial transient temperature, which is correlated withhuman affects and robustness against illumination changes. Therefore, studieshave increasingly used the thermal imaging as a potential and supplemental solution to overcome the challenges of visual (RGB) imaging, such as the variation oflight conditions and revealing original human affect. moreover, the thermal-basedimaging has shown promising results in the detection of psychophysiological signals, such as pulse rate and respiration rate in a contactless and noninvasive *** paper presents a brief review on human affects and focuses on the advantages and challenges of the thermal imaging technique. In addition, this paper discusses the stages of thermal-based human affective state recognition, such asdataset type, preprocessing stage, region of interest (ROI), feature descriptors,and classification approaches with a brief performance analysis based on a number of works in the literature. This analysis could help beginners in the thermalimaging and affective recognition domain to explore numerous approaches usedby researchers to construct an affective state system based on thermal imaging.

关键词： Thermal-based imaging affective state recognition spontaneous emotion feature extraction and classification

Unconstrained Hand Dorsal Veins Image Database and Recognition System

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Computers, materials & Continua 2022年第12期73卷 5063-5073页

作者： mustafa m.al Rifaee mohammad m.Abdallah mosa I.Salah Ayman m.Abdalla Faculty of Science and Information Technology Al-Zaytoonah University of JordanAmman11733Jordan Faculty of Architecture and Design Al-Zaytoonah University of JordanAmman11733Jordan

Hand veins can be used effectively in biometric recognition since they are internal organs that,in contrast to fingerprints,are robust under external environment effects such as dirt and paper ***,they form a complex rich shape that is unique,even in identical twins,and allows a high degree of ***,most currently employed hand-based biometric systems rely on hand-touch devices to capture images with the desired *** the start of the COVID-19 pandemic,most handbased biometric systems have become undesirable due to their possible impact on the spread of the ***,new contactless hand-based biometric recognition systems and databases are desired to keep up with the rising hygiene *** contribution of this research is the creation of a database for hand dorsal veins images obtained contact-free with a variation in capturing distance and rotation *** database consists of 1548 images collected from 86 participants whose ages ranged from 19 to 84 *** the other research contribution,a novel geometrical feature extraction method has been developed based on the Curvelet *** method is useful for extracting robust rotation invariance features from vein *** database attributes and the veins recognition results are analyzed to demonstrate their efficacy.

关键词： Biometric recognition contactless hand biometrics veins recognition Curvelet transform image segmentation feature extraction

Big Data Bot with a Special Reference to Bioinformatics

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Computers, materials & Continua 2023年第5期75卷 4155-4173页

作者： Ahmad m.al-Omari Shefa m.Tawalbeh Yazan H.Akkam mohammad al-Tawalbeh Shima’a Younis Abdullah A.mustafa Jonathan Arnold Biomedical Systems and Informatics Engineering Department Yarmouk UniversityIrbid21163Jordan Department of medicinal Chemistry and Pharmacognosy Yarmouk UniversityIrbid21163Jordan Department of Electrical Computer and Software EngineeringUniversity of Ontario Institute of TechnologyOshawaL1H7K4Canada Department of mechanical Engineering University of MosulMosul41001Iraq Genetics Department University of GeorgiaAthens30602GAUSA

There are quintillions of data on deoxyribonucleic acid(DNA)and protein in publicly accessible data banks,and that number is expanding at an exponential *** scientific fields,such as bioinformatics and drug discovery,rely on such data;nevertheless,gathering and extracting data from these resources is a tough *** data should go through several processes,including mining,data processing,analysis,and *** study proposes software that extracts data from big data repositories automatically and with the particular ability to repeat data extraction phases as many times as needed without human *** software simulates the extraction of data from web-based(point-and-click)resources or graphical user interfaces that cannot be accessed using command-line *** software was evaluated by creating a novel database of 34 parameters for 1360 physicochemical properties of antimicrobial peptides(AmP)sequences(46240 hits)from various mARVIN software panels,which can be later utilized to develop novel ***,for machine learning research,the program was validated by extracting 10,000 protein tertiary structures from the Protein Data *** a result,data collection from the web will become faster and less expensive,with no need for manual data *** software is critical as a first step to preparing large datasets for subsequent stages of analysis,such as those using machine and deep-learning applications.

关键词： Bioinformatics big data data extraction bot drug design

Phytochemical constituents,antioxidant and antibacterial activities of methanolic extract of Ardisia elliptica

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Asian Pacific Journal of Tropical Biomedicine 2017年第6期7卷 569-576页

作者： Nazeh m.al-Abd Zurainee mohamed Nor marzida mansor Asdren Zajmi mohd Shahnaz Hasan Fadzly Azhar mustafa Kassim Department of Parasitology Faculty of MedicineUniversity of Malaya Faculty of medicine and Health Sciences University of Aden Department of Anesthesiology Faculty of MedicineUniversity of Malaya Department of Diagnostic and allied Health Sciences Faculty of Health and Life SciencesManagement and Science University Department of Chemistry Faculty of ScienceUniversity of Malaya

Objective:To investigate the antioxidant,antibacterial,and chemical ingredients of Ardisia elliptica(***) methanolic ***:The plant was extracted using *** and antioxidant activities were ***:The results showed that both fruit and leaf extract of *** have significant antibacterial activities against Gram-positive and Gram-negative *** extracts showed higher content of phenolic(71 ± 0.03 GAE/mg extract dry weight),in comparison to the leaf extracts(37 ± 0.05 GAE/mg extract dry weight).Flavonoid content,and Fe2+chelating activity of fruit extracts were higher than leaf *** percentage radical inhibition of fruit extract is found to be higher(70%) than that of leaf extract(60%).LCmS results indicated that the major compounds in the fruit extract were Gingerol,Aspidin,Kampherol,and Stercuresin,while the leaf extract contained Gingerol,Aspidin,Triangularin,and Salicyl acyl ***,the results of GCmS indicated that fruit extract contained these major compounds:Vitamin E Tocopherol,5-hepylresornicol,2-Nonylmalonic acid,5-pentadecylresornicol,and ***,leaf extract of *** contained these major compounds:alpha Amyrenol,4,4,6,6a,6b,8,8a,9,10,11,12,12 a,14,14 a,14 b octadehydro-2H-picen-3-one,and Lonasterol,4-t-Butyl-2-[4-nitrophenyl] ***:The results provide evidence that fruit and leaf of *** extracts might indeed be used as a potential source of effective natural antimicrobial and antioxidant agents in pharmaceutical and food industries.

关键词： Ardisia elliptica Antioxidant capacity Total phenol content Gas chromatography/mass spectrometry Liquid chromatography/mass spectrometry

Rare earth based mgPm_(2)X_(4)(X=S,Se) spinel chalcogenides for spintronic and thermoelectric applications

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Journal of Rare Earths 2024年第8期42卷 1577-1585,I0006页

作者： Tariq m.al-Daraghmeh Omar Zayed Ghulam m.mustafa Taharh Zelai Bisma Younas Hind albalawi S.Bouzgarrou Othman Hakami Q.mahmood Khaild I.Hussein Basic Sciences Department King Abdullah Ⅱ School of EngineeringPrincess Sumaya University For TechnologyP.O.Box 1438Al-jubaiha11941AmmanJordan Department of Physics Division of Science&TechnologyUniversity of EducationLahorePakistan Department of Physics Faculty of ScienceJazan University JazanSaudi Arabia Department of Physics The University of LahoreLahorePakistan Department of Physics College of SciencesPrincess Nourah bint Abdulrahman University(PNU)P.O.Box 84428Riyadh11671Saudi Arabia Department of Physics College of ScienceQassim UniversityPo.64BuraidahSaudi Arabia Laboratoire de microelectronique et Instrumentation(UR 03/13-04) Faculte des Sciences de MonastirAvenue de I'Environnement 5000MonastirTunisia Department of Chemistry Faculty of ScienceJazan University JazanSaudi Arabia Basic&Applied Scientific Research Center Department of PhysicsCollege of ScienceImam Abdulrahman Bin Faisal UniversityP.O.Box 1982Dammam 31441Saudi Arabia Department of Radiological Sciences College of Applied Medical SciencesKing Khalid UniversityAbha61421Saudi Arabia

In current report,the structural,magnetic,and thermoelectric properties of RE doped mgPm_(2)X_(4)(X=S,Se) spinels were *** energy difference in ferromagnetic and antiferromagnetic states reveals the stability of mgPm_(2)(S/Se)_(4) in the ferromagnetic *** co mputation of enthalpy of formation also ascertains thermodynamic stability of crystal ***-dependent band structure and density of states analysis reveal ferromagnetic semiconducting character showing different electronic behavior in both spin *** room temperature ferromagnetism,spin polarization and Curie temperature are estimated from exchange energies *** addition,exchange constants(N_(0)α and N_(0)β),exchange energy Δ_(x)(pd),crystal ifeld energy,and double exchange mechanism were studied to explore the magnetic ***,the electrical conductivity,thermal conductivity,Seebeck co-efficient,and power factor show effect on electrons spin and their potential for thermoelectric devices.

关键词： Rare earth elements Spintronic applications Thermoelectric effects Exchange energies

Design of machine Learning Based Smart Irrigation System for Precision Agriculture

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Computers, materials & Continua 2022年第7期72卷 109-124页

作者： Khalil Ibrahim mohammad Abuzanouneh Fahd N.al-Wesabi Amani Abdulrahman albraikan mesfer al Duhayyim m.al-Shabi Anwer mustafa Hilal manar Ahmed Hamza Abu Sarwar Zamani K.muthulakshmi Department of Information Technology College of ComputerQassim UniversityAl-Bukairiyah52571Saudi Arabia Department of Computer Science King Khalid UniversityMuhayel Aseer62529Saudi Arabia&Faculty of Computer and ITSana’a UniversitySana’a61101Yemen Department of Computer Science College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11564Saudi Arabia Department of Natural and Applied Sciences College of Community-AflajPrince Sattam bin Abdulaziz UniversityAl-Kharj16278Saudi Arabia Department of management Information System College of Business and AdministrativeTaibah UniversityMedina42353Saudi Arabia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAl-Kharj16278Saudi Arabia Department of Electronics and Communication Engineering Dr.N.G.P Institute of TechnologyCoimbatore641048India

Agriculture 4.0,as the future of farming technology,comprises numerous key enabling technologies towards sustainable *** use of state-of-the-art technologies,such as the Internet of Things,transform traditional cultivation practices,like irrigation,to modern solutions of precision *** achieve effectivewater resource usage and automated irrigation in precision agriculture,recent technologies like machine learning(mL)can be *** this motivation,this paper design an IoT andmL enabled smart irrigation system(IoTmL-SIS)for precision *** proposed IoTmL-SIS technique allows to sense the parameters of the farmland and make appropriate decisions for *** proposed IoTmL-SIS model involves different IoT based sensors for soil moisture,humidity,temperature sensor,and ***,the sensed data are transmitted to the cloud server for processing and decision ***,artificial algae algorithm(AAA)with least squares-support vector machine(LS-SVm)model is employed for the classification process to determine the need for ***,the AAA is applied to optimally tune the parameters involved in the LS-SVm model,and thereby the classification efficiency is significantly *** performance validation of the proposed IoTmL-SIS technique ensured better performance over the compared methods with the maximum accuracy of 0.975.

关键词： Automatic irrigation precision agriculture smart farming machine learning cloud computing decision making internet of things

malicious URL Classification Using Artificial Fish Swarm Optimization and Deep Learning

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Computers, materials & Continua 2023年第1期74卷 607-621页

作者： Anwer mustafa Hilal Aisha Hassan Abdalla Hashim Heba G.mohamed mohamed K.Nour mashael m.Asiri ali m.al-Sharafi mahmoud Othman Abdelwahed motwakel Department of Electrical and Computer Engineering International Islamic University Malaysia 53100 Kuala LumpurMalaysia Department of Computer and Self Development Preparatory Year DeanshipPrince Sattam bin Abdulaziz UniversityAlKharjSaudi Arabia Department of Electrical Engineering College of EngineeringPrincess Nourah Bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Computer Sciences College of Computing and Information SystemUmm Al-Qura UniversitySaudi Arabia Department of Computer Science College of Science&Art at MahayilKing Khalid UniversitySaudi Arabia Department of Computer Science College of Computers and Information TechnologyUniversity of BishaSaudi Arabia Department of Computer Science Faculty of Computers and Information TechnologyFuture University in EgyptNew Cairo11835Egypt

Cybersecurity-related solutions have become familiar since it ensures security and privacy against cyberattacks in this digital *** Uniform Resource Locators(URLs)can be embedded in email or Twitter and used to lure vulnerable internet users to implement malicious data in their *** may result in compromised security of the systems,scams,and other such *** attacks hijack huge quantities of the available data,incurring heavy financial *** the same time,machine Learning(mL)and Deep Learning(DL)models paved the way for designing models that can detect malicious URLs accurately and classify *** this motivation,the current article develops an Artificial Fish Swarm.algorithm(AFSA)with Deep Learning Enabled malicious URL Detection and Classification(AFSADL-mURLC)*** presented AFSADL-mURLC model intends to differentiate the malicious URLs from genuine *** attain this,AFSADL-mURLC model initially carries out data preprocessing and makes use of glove-based word embedding *** addition,the created vector model is then passed onto Gated Recurrent Unit(GRU)classification to recognize the malicious ***,AFSA is applied to the proposed model to enhance the efficiency of GRU *** proposed AFSADL-mURLC technique was experimentally validated using benchmark dataset sourced from Kaggle *** simulation results confirmed the supremacy of the proposed AFSADL-mURLC model over recent approaches under distinct measures.

关键词： malicious URL cybersecurity deep learning machine learning metaheuristics gated recurrent unit

Efficient ECG classification based on Chi-square distance for arrhythmia detection

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Journal of Electronic Science and Technology 2024年第2期22卷 1-15页

作者： Dhiah al-Shammary mustafa Noaman Kadhim Ahmed m.mahdi Ayman Ibaida Khandakar Ahmedb College of Computer Science and Information Technology University of Al-QadisiyahAl Diwaniyah58001Iraq Intelligent Technology Innovation Lab Victoria UniversityMelbourne3011Australia

This study introduces a new classifier tailored to address the limitations inherent in conventional classifiers such as K-nearest neighbor(KNN),random forest(RF),decision tree(DT),and support vector machine(SVm)for arrhythmia *** proposed classifier leverages the Chi-square distance as a primary metric,providing a specialized and original approach for precise arrhythmia *** optimize feature selection and refine the classifier’s performance,particle swarm optimization(PSO)is integrated with the Chi-square distance as a fitness *** synergistic integration enhances the classifier’s capabilities,resulting in a substantial improvement in accuracy for arrhythmia *** results demonstrate the efficacy of the proposed method,achieving a noteworthy accuracy rate of 98% with PSO,higher than 89% achieved without any previous *** classifier outperforms machine learning(mL)and deep learning(DL)techniques,underscoring its reliability and superiority in the realm of arrhythmia *** promising results render it an effective method to support both academic and medical communities,offering an advanced and precise solution for arrhythmia detection in electrocardiogram(ECG)data.

关键词： Arrhythmia classification Chi-square distance Electrocardiogram(ECG)signal Particle swarm optimization(PSO)

The Effects of Thermal Radiation and Viscous Dissipation on the Stagnation Point Flow of a micropolar Fluid over a Permeable Stretching Sheet in the Presence of Porous Dissipation

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Fluid Dynamics & materials Processing 2023年第1期19卷 61-81页

作者： muhammad Salman Kausar H.A.m.al-Sharifi Abid Hussanan mustafa mamat Faculty of Informatics and Computing University Sultan Zainal Abidin(Kampus Gong Badak)Kuala TerengganuTerengganuMalaysia Department of mathematics College of Education for Pure SciencesUniversity of KerbalaKerbalaIraq Department of mathematics Division of Science and TechnologyUniversity of EducationLahorePakistan

In this paper,the effects of thermal radiation and viscous dissipation on the stagnation–point flow of a micropolar fluid over a permeable stretching sheet with suction and injection are analyzed and discussed.A suitable similarity transformation is used to convert the governing nonlinear partial differential equations into a system of nonlinear ordinary differential equations,which are then solved numerically by a fourth–order Runge–Kutta *** is found that the linear fluid velocity decreases with the enhancement of the porosity,boundary,and suction ***,it increases with the micropolar and injection *** angular velocity grows with the boundary,porosity,and suction parameters,whereas it is reduced if the micropolar and injection parameters become *** is concluded that the thermal boundary layer extension increases with the injection parameter and decreases with the suction parameter.

关键词： micropolar fluid viscous dissipation stagnation point stretching sheet porous media thermal radiation