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Machine learning enabled identification and real-time prediction of living plants’ stress using terahertz waves

Defence Technology（防务技术） 2022年第8期18卷 1330-1339页

作者： Adnan Zahid Kia Dashtipour hasan T.Abbas Ismail Ben Mabrouk muath al-hasan Aifeng Ren Muhammad A.Imran Akram alomainy Qammer H.Abbasi School of Engineering and Physical Science Heriot-Watt UniversityEdinburghEH144ASUK James Watt School of Engineering University of GlasgowGlasgowG128QQUK College of Engineering Al-Ain UniversityAbu DhabiUnited Arab Emirates School of Electronic Engineering Xidian UniversityXi'anShaanxiChina School of Electronic Engineering and Computer Science Queen Mary University of LondonLondonUK

Considering the ongoing climate transformations, the appropriate and reliable phenotyping information of plant leaves is quite significant for early detection of disease, yield improvement. In real-life digital agricultural environment, the real-time prediction and identification of living plants leaves has immensely grown in recent years. Hence, cost-effective and automated and timely detection of plans species is vital for sustainable agriculture. This paper presents a novel, non-invasive method aiming to establish a feasible, and viable technique for the precise identification and observation of altering behaviour of plants species at cellular level for four consecutive days by integrating machine learning (ML) and THz with a swissto12 materials characterization kit (MCK) in the frequency range of 0.75 to 1.1 THz. For this purpose, measurements observations data of seven various living plants leaves were determined and incorporate three different ML algorithms such as random forest (RF), support vector machine, (SVM), and K-nearest neighbour (KNN). The results demonstrated that RF exhibited higher accuracy of 98.87% followed by KNN and SVM with an accuracy of 94.64% and 89.67%, respectively, for precise detection of different leaves by observing their morphological features. In addition, RF outperformed other classifiers for determination of water-stressed leaves and having an accuracy of 99.42%. It is envisioned that proposed study can be proven beneficial and vital in digital agriculture technology for the timely detection of plants species to significantly help in mitigate yield and economic losses and improve crops quality.

关键词： Terahertz sensing Plants health Machine learning

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Infrared Spectroscopy-Based Chemometric Analysis for Lard Differentiation in Meat Samples

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Computers, Materials & Continua 2023年第5期75卷 2859-2871页

作者： Muhammad Aadil Siddiqui M.H.Md Khir Zaka Ullah muath al hasan Abdul Saboor Saeed Ahmed Magsi Department of Electrical and Electronic Engineering Universiti Teknologi PetronasSeri Iskandar32610Malaysia College of Engineering Al Ain UniversityAl Ain64141United Arab Emirates High Performance Cloud Computing Centre(HPC) Universiti Teknologi PetronasSeri Iskandar32610Malaysia

One of the most pressing concerns for the consumer market is the detection of adulteration in meat products due to their *** rapid and accurate identification mechanism for lard adulteration in meat products is highly necessary,for developing a mechanism trusted by consumers and that can be used to make a definitive *** Transform Infrared Spectroscopy(FTIR)is used in this work to identify lard adulteration in cow,lamb,and chicken samples.A simplified extraction method was implied to obtain the lipids from pure and adulterated *** samples were obtained by mixing lard with chicken,lamb,and beef with different concentrations(10%–50%v/v).Principal component analysis(PCA)and partial least square(PLS)were used to develop a calibration model at 800–3500 cm^(−1).Three-dimension PCA was successfully used by dividing the spectrum in three regions to classify lard meat adulteration in chicken,lamb,and beef *** corresponding FTIR peaks for the lard have been observed at 1159.6,1743.4,2853.1,and 2922.5 cm−1,which differentiate chicken,lamb,and beef *** wavenumbers offer the highest determination coefficient R2 value of 0.846 and lowest root mean square error of calibration(RMSEC)and root mean square error prediction(RMSEP)with an accuracy of 84.6%.Even the tiniest fat adulteration up to 10%can be reliably discovered using this methodology.

关键词： Fourier transform infrared spectroscopy lard halal PCA PLS RMSEC RMSEP

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Experimental Evaluation of Trilateration-Based Outdoor Localizationwith LoRaWAN

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计算机、材料和连续体（英文） 2023年第4期75卷 845-862页

作者： Saeed Ahmed Magsi Mohd Haris Bin Md Khir Illani Bt Mohd Nawi muath al hasan Zaka Ullah Fasih Ullah Khan Abdul Saboor Muhammad Aadil Siddiqui Department of Electrical and Electronic Engineering Universiti Teknologi PETRONASSeri Iskandar32610Malaysia Balochistan University of Information Technology Engineeringand Management SciencesQuetta37500Pakistan College of Engineering Al Ain UniversityAl Ain64141United Arab Emirates Department of Technology The University of LahoreLahore54000Pakistan High Performance Cloud Computing Centre(HPC3) Universiti Teknologi PETRONASSeri Iskandar32610Malaysia

Long Range Wide Area Network (LoRaWAN) in the Internet ofThings (IoT) domain has been the subject of interest for researchers. Thereis an increasing demand to localize these IoT devices using LoRaWAN dueto the quickly growing number of IoT devices. LoRaWAN is well suited tosupport localization applications in IoTs due to its low power consumptionand long range. Multiple approaches have been proposed to solve the localizationproblem using LoRaWAN. The Expected Signal Power (ESP) basedtrilateration algorithm has the significant potential for localization becauseESP can identify the signal’s energy below the noise floor with no additionalhardware requirements and ease of implementation. This research articleoffers the technical evaluation of the trilateration technique, its efficiency,and its limitations for the localization using LoRa ESP in a large outdoorpopulated campus environment. Additionally, experimental evaluations areconducted to determine the effects of frequency hopping, outlier removal, andincreasing the number of gateways on localization accuracy. Results obtainedfrom the experiment show the importance of calculating the path loss exponentfor every frequency to circumvent the high localization error because ofthe frequency hopping, thus improving the localization performance withoutthe need of using only a single frequency.

关键词： LoRaWAN localization expected signal power(ESP) path loss exponent(PLE) trilateration

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IoMT-Based Smart Healthcare of Elderly People Using Deep Extreme Learning Machine

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Computers, Materials & Continua 2023年第7期76卷 19-33页

作者： muath Jarrah Hussam al Hamadi Ahmed Abu-Khadrah Taher M.Ghazal School of Information Technology Skyline University CollegeUniversity City Sharjah1797SharjahUAE College of Computing and Informatics Saudi Electronic UniversityRiyadh11673Saudi Arabia Center for Cyber Security Faculty of Information Science and TechnologyUniversity Kebangsaan Malaysia(UKM)43600BangiSelangorMalaysia Center for Cyber-Physical Systems Khalifa University127788Abu DhabiUAE

The Internet of Medical Things(IoMT)enables digital devices to gather,infer,and broadcast health data via the cloud *** phenomenal growth of the IoMT is fueled by many factors,including the widespread and growing availability of wearables and the ever-decreasing cost of sensor-based *** is a growing interest in providing solutions for elderly people living assistance in a world where the population is rising *** IoMT is a novel reality transforming our daily *** can renovate modern healthcare by delivering a more personalized,protective,and collaborative approach to ***,the current healthcare system for outdoor senior citizens faces new *** healthcare systems are inefficient and lack user-friendly technologies and interfaces appropriate for elderly people in an outdoor ***,in this research work,a IoMT based Smart Healthcare of Elderly people using Deep Extreme Learning Machine(SH-EDELM)is proposed to monitor the senior citizens’*** performance of the proposed SH-EDELM technique gives better results in terms of 0.9301 accuracy and 0.0699 miss rate,respectively.

关键词： ICT ML FN DELM SH-EDELM

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2D MXene Ti_(3)C_(2)T_(x)Enhanced Plasmonic Absorption in Metasurface for Terahertz Shielding

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Computers, Materials & Continua 2023年第5期75卷 3453-3464页

作者： Zaka Ullah muath al hasanl Ismail Ben Mabrouk Muhammad Junaid Fawad Sheikh Faculty of Electrical Engineering College of EngineeringAl Ain UniversityAl Ain64141UAE Department of Electrical Engineering Durham UniversityDurhamUK Department of Electrical Engineering Baluchistan University of Technology and management sciencesQuettaPakistan Institute of Digital Signal Processing Universitat Duisburg EssenDuisburgGermany

With the advancement of technology,shielding for terahertz(THz)electronic and communication equipment is increasingly *** metamaterial absorption technique is mostly used to shield electromagnetic interference(EMI)in THz sensing *** most widely used THz metamaterial absorbers suffer from their narrowband properties and the involvement of complex fabrication *** with multifunctional properties,such as adjustable conductivity,broad bandwidth,high flexibility,and robustness,are driving future development to meet THz shielding *** this article,a theoretical simulation approach based on finite difference time domain(FDTD)is utilized to study the absorption and shielding characteristics of a two-dimensional(2D)MXene Ti_(3)C_(2)T_(x) metasurface absorber in the THz *** proposed metamaterial structure is made up of a square-shaped array of MXene that is 50 nmthick and is placed on top of a silicon *** bottom surface of the silicon is metalized with gold to reduce the transmission and ultimately enhance the absorption at 1–3 *** symmetric adjacent space between theMXene array results in a widening of *** proposed metasurface achieves 96%absorption under normal illumination of the incident source and acquires an average of 25 dB shielding at 1 THz bandwidth,with the peak shielding reaching 65 *** results show that 2D MXene-based stacked metasurfaces can be proven in the realization of low-cost devices for THz shielding and sensing applications.

关键词： EMI shielding terahertz plasmonic absorber metasurface

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Creep behavior and post-creep thermoelectric performance of the n-type Skutterudite alloy Yb_(0.3)Co_(4)Sb_(12)

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Journal of Materiomics 2021年第1期7卷 89-97页

作者： muath M.al Malki Xun Shi Pengfei Qiu G.Jeffrey Snyder David C.Dunand Department of Materials Science&Engineering Northwestern UniversityEvanstonIL60208USA Mechanical Engineering Department King Fahd University of Petroleum and MineralsDhahran31261Saudi Arabia State Key Laboratory of High-Performance Ceramics and Superfine Microstructure Shanghai Institute of CeramicsChinese Academy of SciencesShanghai200050China

Upon uniaxial compressive loading at 500℃(T/Tm=0.67,where Tm is the absolute melting point),the n-type Skutterudite alloy Yb03Co4Sb12 deforms plastically by creep via a power-law,with a stress exponent~3 consistent with dislocation viscous *** activation energy of 171 kJ/mol is measured over the temperature range of 500-587℃(T/Tm=0.67-0.75)at a stress of 30 ***_(0.3)Co_(4)Sb_(12)is ductile at 500℃,exhibiting a compressive strain of 25%when subjected to stresses ranging from 22 to 90 MPa for up to 28 *** the thermoelectric materials tested so far for creep,Yb_(0.3)Co_(4)Sb_(12)exhibits a creep resistance intermediate between low-melting(Bi2Te3,TAGS-85)and high-melting thermoelectrics(Mg2Si and ZrNiSn).A relatively modest drop in the figure of merit zT,from 0.67 to 0.52,is displayed by Yb_(0.3)Co_(4)Sb_(12)after accumulating 3.7%compressive creep strain at 500℃,mostly due to a drop in electrical conductivity.

关键词： Filled Skutterudite CoSb_(3) Seebeck coefficient Electrical conductivity Creep

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Takagi–Sugeno Fuzzy Modeling and Control for Effective Robotic Manipulator Motion

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Computers, Materials & Continua 2022年第4期71卷 1011-1024页

作者： Izzat al-Darraji Ayad AKakei Ayad Ghany Ismaeel Georgios Tsaramirsis Fazal Qudus Khan Princy Randhawa muath alrammal Sadeeq Jan Department of Automated Manufacturing University of BaghdadBaghdad10001Iraq Department of Mechanical Engineering University of KirkukKirkuk36001Iraq Department of Computer Technical Engineering Al-kitab UniversityKirkuk36001Iraq Higher Colleges of Technology Abu Dhabi Women’s CollegeAbu Dhabi41012UAE Department of Computer Science University of SwatShangla CampusAlpurai19100ShanglaPakistan Department of Mechatronics Engineering Manipal University JaipurJaipur302004India Department of Computer Science&IT University of Engineering&Technology PeshawarPeshawar25000Pakistan

Robotic manipulators are widely used in applications that require fast and precise *** devices,however,are prompt to nonlinear control issues due to the flexibility in joints and the friction in the motors within the dynamics of their rigid *** address these issues,the Linear Matrix Inequalities(LMIs)and Parallel Distributed Compensation(PDC)approaches are implemented in the Takagy–Sugeno Fuzzy Model(T-SFM).We propose the following methodology;initially,the state space equations of the nonlinear manipulator model are ***,a Takagy–Sugeno Fuzzy Model(T-SFM)technique is used for linearizing the state space equations of the nonlinear *** T-SFM controller is developed using the Parallel Distributed Compensation(PDC)*** prime concept of the designed controller is to compensate for all the fuzzy ***,the Linear Matrix Inequalities(LMIs)are applied to generate adequate cases to ensure stability and *** programming methods are applied to solve the developed LMIs *** developed for the proposed model show that the proposed controller stabilized the system with zero tracking error in less than 1.5 s.

关键词： Nonlinear robot manipulator precise fast robot motion flexible joints motor friction Takagy-Sugeno fuzzy control modeling nonlinear flexible robot system

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COVID-19 Public Sentiment Insights: A Text Mining Approach to the Gulf Countries

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Computers, Materials & Continua 2021年第5期67卷 1613-1627页

作者： Saleh albahli Ahmad algsham Shamsulhaq Aeraj muath alsaeed muath alrashed Hafiz Tayyab Rauf Muhammad Arif Mazin Abed Mohammed Department of Information Technology College of ComputerQassim UniversityBuraydahSaudi Arabia Department of Computer Science Univesity of GurjatPakistan School of Computer Science Guanzghou UniversityGuangzhou510006China College of Computer Science and Information technology University of Anbar11RamadiAnbarIraq

Social media has been the primary source of information from mainstream news agencies due to the large number of users posting their *** COVID-19 outbreak did not only bring a virus with it but it also brought fear and uncertainty along with inaccurate and misinformation spread on social media *** phenomenon caused a state of panic among *** studies were conducted to stop the spread of fake news to help people cope with the *** this paper,a semantic analysis of three levels(negative,neutral,and positive)is used to gauge the feelings of Gulf countries towards the pandemic and the lockdown,on basis of a Twitter dataset of 2 months,using Natural Language Processing(NLP)*** has been observed that there are no mixed emotions during the pandemic as it started with a neutral reaction,then positive sentiments,and lastly,peaks of negative *** results show that the feelings of the Gulf countries towards the pandemic depict approximately a 50.5%neutral,a 31.2%positive,and an 18.3%negative sentiment *** study can be useful for government authorities to learn the discrepancies between different populations from diverse areas to overcome the COVID-19 spread accordingly.

关键词： COVID-19 sentiment analysis natural language processing twitter social data mining sentiment polarity

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Modeling Drug Concentration in Blood through Caputo-Fabrizio and Caputo Fractional Derivatives

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Computer Modeling in Engineering & Sciences 2023年第6期135卷 2767-2785页

作者： muath Awadalla Kinda Abuasbeh Yves Yannick Yameni Noupoue Mohammed S.Abdo Department of Mathematics and Statistics College of ScienceKing Faisal UniversityHafufAl Ahsa31982Saudi Arabia Institute of Statistics Biostatistics and Actuarial ScienceFaculty of ScienceUniversite Catholique de LouvainLouvain-La-Neuve1348Belgium Department of Mathematics Hodeidah UniversityAl-Hudaydah3114Yemen

This study focuses on the dynamics of drug concentration in the *** general,the concentration level of a drug in the blood is evaluated by themean of an ordinary and first-order differential *** precisely,it is solved through an initial value *** proposed a newmodeling technique for studying drug concentration in blood *** technique is based on two fractional derivatives,namely,Caputo and Caputo-Fabrizio *** first provided comprehensive and detailed proof of the existence of at least one solution to the problem;we later proved the uniqueness of the existing *** proof was written using the Caputo-Fabrizio fractional derivative and some fixed-point *** via theUlam-Hyers(UH)technique was also *** application of the proposedmodel on two real data sets revealed that the Caputo derivative wasmore suitable in this ***,for the first data set,the model based on the Caputo derivative yielded a Mean Squared Error(MSE)of 0.03095 with a corresponding best value of fractional order of derivative of ***-Fabrizio-basedderivative appeared to be the second-best method for the problem,with an MSE of 0.04324 for a corresponding best fractional derivative order of *** the second experiment,Caputo derivative-based model still performed the best as it yielded an MSE of 0.04066,whereas the classical and the Caputo-Fabrizio methods were tied with the same MSE of *** interesting finding was that the MSE yielded by the Caputo-Fabrizio fractional derivative coincided with the MSE obtained from the classical approach.

关键词： Pharmacokinetics caputo fractional derivative stability study Caputo-Fabrizio fractional derivative

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Effect of post weld heat treatment on microstructure and mechanical properties of gas tungsten arc welded AA6061-T6 alloy

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Transactions of Nonferrous Metals Society of China 2016年第12期26卷 3102-3114页

作者： Firouz FADAEIFARD Khamirul Amin MATORI Farhad GARAVI muath al-FalAHI Gholamreza Vahedi SARRIGANI Materials Synthesis and Characterization Laboratory Institute of Advanced TechnologyUniversiti Putra Malaysia Department of Physics Faculty of ScienceUniversiti Putra Malaysia

Double-V butt TIG welding process was performed on two plates of AA6061-T6 using ER5356 filler. The microstructure,mechanical and nanomechanical properties of the joint were evaluated in as-welded and after post weld heat treatment (PWHT) usingXRD, FESEM, EBSD, nanoindentation and tensile tests. The results show that PWHT led to microstructural recovery of the heataffected zone (HAZ) in addition to the appearance of β-phase (al3Mg2) at the grain boundaries of weld zone. The hardness (Hnano) inall zones increased after PWHT while the elastic modulus (Enano) was improved from 69.93 GPa to 81 GPa in weld area. all resultsindicate that PWHT has created a homogenous microstructure in the weld zone in addition to outstanding improvement inmechanical properties for the weld zone which surpass the base metal.

关键词： AA6061-T6 alloy ER5356 gas tungsten arc welding post weld heat treatment nanoindentation microstructure

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