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Machine Learning for Organic Photovoltaic Polymers:A Minireview

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Chinese Journal of Polymer Science 2022年第8期40卷 870-876,I0006页

作者： Asif mahmood Ahmad Irfan Jin-Liang Wang Beijing Key Laboratory of Photoelectronic/Electrophotonic Conversion Materials Key Laboratory of Medical Molecule Science and Pharmaceutics Engineering in Ministry of Industry and Information TechnologySchool of Chemistry and Chemical EngineeringBeijing Institute of TechnologyKey Laboratory of Cluster Science of Ministry of EducationBeijing100081China Department of Chemistry College of ScienceKing Khalid UniversityAbha61413Saudi Arabia

Machine learning is a powerful tool that can provide a way to revolutionize the material *** use for the designing and screening of materials for polymer solar cells is also *** of efficient polymeric materials for solar cells is really difficult *** have synthesized and fabricated so many *** the results and get feedback for further research requires an innovative *** this minireview,we provides brief introduction of machine *** importance of machine learning is also mentioned,and the application of machine learning for polymeric material design is *** key challenges that are hindering the wide spread use of machine are *** are also given to improve the use of data *** predictions using machine learning maybe not highly accurate but it definitely better than no prediction at all.

关键词： Machine learning Polymer solar cells Data science Descriptors Polymers

High throughput screening of localised and general corrosion in type 2205 duplex stainless steel at ambient temperature

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International Journal of Minerals,Metallurgy and Materials 2023年第12期30卷 2375-2385页

作者： Yiqi Zhou Sultan mahmood Dirk Lars Engelberg Beijing Advanced Innovation Center for Materials Genome Engineering Institute for Advanced Materials and TechnologyUniversity of Science and Technology BeijingBeijing 100083China Metallurgy and Corrosion School of MaterialsThe University of ManchesterM139PLManchesterUK Materials Performance Centre The University of ManchesterM139PLManchesterUK

Bipolar electrochemistry is used to produce a linear potential gradient across a bipolar electrode(BPE),providing direct access to the anodic and cathodic reactions under a wide range of applied *** occurrence of pitting corrosion,crevice corrosion,and general corrosion on type 2205 duplex stainless steel(DSS 2205)BPE has been observed at room *** critical pit depth of 10-20μm with a55%-75% probability of pits developing into stable pits at potential from+0.9 to+1.2 V ***(open circuit potential)are *** pit nucleation sites are either within ferritic grains or at the interface between austenite and *** critical conditions for pitting and crevice corrosion are discussed with Epit(critical pitting potential)and Ecre(critical crevice potential)decreasing from 0.87 and 0.80 V *** after150 s of exposure to 0.84 and 0.76 V *** after 900 s of exposure,*** growth kinetics under different applied bipolar potentials and exposure times have been *** ferrite is shown to be more susceptible to general dissolution.

关键词： bipolar electrochemistry duplex stainless steel pitting corrosion pit growth factor crevice corrosion

Adaptive Deep Learning Model to Enhance Smart Greenhouse Agriculture

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Computers, Materials & Continua 2023年第11期77卷 2545-2564页

作者： Medhat A.Tawfeek Nacim Yanes Leila Jamel Ghadah Aldehim mahmood A.mahmood Department of Computer Science College of Computer and Information SciencesJouf UniversityP.O.Box 72314SkakaSaudi Arabia Department of Computer Science Faculty of Computers and InformationMenoufia UniversityP.O.Box 6121890MenoufiaEgypt Department of Software Engineering College of Computer and Information SciencesJouf UniversityP.O.Box 72314SkakaSaudi Arabia RIADI Laboratory La Manouba UniversityP.O.Box2010ManoubaTunisia Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh11671Saudi Arabia Department of Information Systems and Technology Faculty of Graduate Studies and ResearchCairo UniversityP.O.Box 3753450GizaEgypt

The trend towards smart greenhouses stems from various factors,including a lack of agricultural land area owing to population concentration and housing construction on agricultural land,as well as water *** study proposes building a full farming adaptation model that depends on current sensor readings and available datasets from different agricultural research *** proposed model uses a one-dimensional convolutional neural network(CNN)deep learning model to control the growth of strategic crops,including cucumber,pepper,tomato,and *** proposed model uses the Internet of Things(IoT)to collect data on agricultural operations and then uses this data to control and monitor these operations in real *** helps to ensure that crops are getting the right amount of fertilizer,water,light,and temperature,which can lead to improved yields and a reduced risk of crop *** dataset is based on data collected from expert farmers,the photovoltaic construction process,agricultural engineers,and research *** experimental results showed that the precision,recall,F1-measures,and accuracy of the one-dimensional CNN for the tested dataset were approximately 97.3%,98.2%,97.25%,and 97.56%,*** new smart greenhouse automation system was also evaluated on four crops with a high turnover *** system has been found to be highly effective in terms of crop productivity,temperature management and water conservation.

关键词： Greenhouse wireless sensor network deep learning Internet of Things strategic crops monitoring smart irrigation

Defocus Blur Segmentation Using Local Binary Patterns with Adaptive Threshold

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Computers, Materials & Continua 2022年第4期71卷 1597-1611页

作者： Usman Ali Muhammad Tariq mahmood Future Convergence Engineering School of Computer Science and EngineeringKorea University of Technology and Education1600Chungjeol-roByeongcheon-myeonCheonan31253Korea

Enormousmethods have been proposed for the detection and segmentation of blur and non-blur regions of the *** to the limited available information about blur type,scenario and the level of blurriness,detection and segmentation is a challenging ***,the performance of the blur measure operator is an essential factor and needs improvement to attain *** this paper,we propose an effective blur measure based on local binary pattern(LBP)with adaptive threshold for blur *** sharpness metric developed based on LBP used a fixed threshold irrespective of the type and level of blur,that may not be suitable for images with variations in imaging conditions,blur amount and ***,the proposed measure uses an adaptive threshold for each input image based on the image and blur properties to generate improved sharpness *** adaptive threshold is computed based on the model learned through support vector machine(SVM).The performance of the proposed method is evaluated using two different datasets and is compared with five state-of-the-art *** analysis reveals that the proposed method performs significantly better qualitatively and quantitatively against all of the compared methods.

关键词： Adaptive threshold blur measure defocus blur segmentation local binary pattern support vector machine

An efficient counter-based Wallace-tree multiplier with a hybrid full adder core for image blending

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Frontiers of Information Technology & Electronic Engineering 2022年第6期23卷 950-965页

作者： Ayoub SADEGHI Nabiollah SHIRI mahmood RAFIEE Mahsa TAHGHIGH Department of Electrical Engineering.ShirazBranch Islamic Azad UniversityShiraz 71987-74731Iran

We present a new counter-based Wallace-tree(CBW)8×8 *** multiplier’s counters are implemented with a new hybrid full adder(FA)cell,which is based on the transmission gate(TG)*** proposed FA,TG-based AND gate,and hybrid half adder(HA)generate M:3(4≤M≤7)digital counters with the ability to save at least 50%area *** by 90 nm technology prove the superiority of the proposed FA and digital counters under different conditions over the state-of-the-art *** using the proposed cells,the CBW multiplier exhibits high driving capability,low power consumption,and high *** CBW multiplier has a 0.0147 mm^(2)die area in a *** post-layout extraction proves the accuracy of experimental *** image blending mechanism is proposed,in which a direct interface between MATLAB and HSPICE is used to evaluate the presented CBW multiplier in image processing *** peak signal-to-noise ratio(PSNR)and structural similarity index metric(SSIM)are calculated as image quality parameters,and the results confirm that the presented CBW multiplier can be used as an alternative to designs in the literature.

关键词： Full adder Transmission gate Counter Multiplier Three-dimensional layout Image blending

Multi-Level Knowledge Engineering Approach for Mapping Implicit Aspects to Explicit Aspects

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Computers, Materials & Continua 2022年第2期70卷 3491-3509页

作者： Jibran Mir Azhar mahmood Shaheen Khatoon Computer Science Department Shaheed Zulfikar Ali Bhutto Institute of Science and Technology(SZABIST)Faculty of Computing and Engineering SciencesIslamabadPakistan Department of Computer Science Capital University of Science&TechnologyFaculty of ComputingIslamabad College of Computer Science and Information Technology King Faisal UniversitySaudi Arabia

Aspect’s extraction is a critical task in aspect-based sentiment analysis,including explicit and implicit aspects *** extensive research has identified explicit aspects,little effort has been put forward on implicit aspects extraction due to the complexity of the ***,existing research on implicit aspect identification is widely carried out on product reviews targeting specific aspects while neglecting sentences’dependency ***,in this paper,a multi-level knowledge engineering approach for identifying implicit movie aspects is *** proposed method first identifies explicit aspects using a variant of BiLSTM and CRF(Bidirectional Long Short Memory-Conditional Random Field),which serve as a memory to process dependent sentences to infer implicit *** can identify implicit aspects from four types of sentences,including independent and three types of dependent *** study is evaluated on a largemovie reviews dataset with 50k *** experimental results showed that the explicit aspect identification method achieved 89%F1-score and implicit aspect extraction methods achieved 76%*** addition,the proposed approach also performs better than the state-of-the-art techniques(NMFIAD andML-KB+)on the product review dataset,where it achieved 93%precision,92%recall,and 93%F1-score.

关键词： Movie NEs(named entities) aspects opinion words annotation process memory implicit aspects implicit aspects mapping word embedding and BiLSTM

Aggregation operators and CRITIC-VIKOR method for confidence complex q-rung orthopair normal fuzzy information and their applications

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CAAI Transactions on Intelligence Technology 2023年第1期8卷 40-63页

作者： Tahir mahmood Zeeshan Ali Muhammad Naeem Department of Mathematics and Statistics International Islamic University IslamabadIslamabadPakistan Umm Al-Qura University MakkahSaudi Arabia

Supply chain management is an essential part of an organisation's sustainable *** the concentration of natural environment,public,and economic influence and feasibility of your suppliers and purchasers is becoming progressively familiar as all industries are moving towards a massive sustainable *** handle such sort of developments in supply chain management the involvement of fuzzy settings and their generalisations is playing an important *** in mind this role,the aim of this study is to analyse the role and involvement of complex q-rung orthopair normal fuzzy(CQRONF)information in supply chain *** major impact of this theory is to analyse the notion of confidence CQRONF weighted averaging,confidence CQRONF ordered weighted averaging,confidence CQRONF hybrid averaging,confidence CQRONF weighted geometric,confidence CQRONF ordered weighted geometric,confidence CQRONF hybrid geometric operators and try to diagnose various properties and ***,with the help of the CRITIC and VIKOR models,we diagnosed the novel theory of the CQRONF-CRITIC-VIKOR model to check the sensitivity analysis of the initiated ***,in the availability of diagnosed operators,we constructed a multi-attribute decision-making tool for finding a beneficial sustainable supplier to handle complex ***,the initiated operator's efficiency is proved by comparative analysis.

关键词： averaging/geometric aggregation operators complex q-rung orthopair normal fuzzy information confidence levels strategic decision-making methods

Prediction of Extremist Behaviour and Suicide Bombing from Terrorism Contents Using Supervised Learning

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Computers, Materials & Continua 2022年第3期70卷 4411-4428页

作者： Nasir mahmood Muhammad Usman Ghani Khan Department of Computer Science University of Engineering and Technology54890Lahore

This study proposes an architecture for the prediction of extremist human behaviour from projected suicide *** linking‘dots’of police data comprising scattered information of people,groups,logistics,locations,communication,and spatiotemporal characters on different social media groups,the proposed architecture will spawn beneficial *** useful information will,in turn,help the police both in predicting potential terrorist events and in investigating previous ***,this architecture will aid in the identification of criminals and their associates and *** is psychological warfare,which,in the broadest sense,can be defined as the utilisation of deliberate violence for economic,political or religious *** this study,a supervised learning-based approach was adopted to develop the proposed *** dataset was prepared from the suicide bomb blast data of Pakistan obtained from the South Asia Terrorism Portal(SATP).As the proposed architecture was simulated,the supervised learning-based classifiers na飗e Bayes and Hoeffding Tree reached 72.17%*** of the additional benefits this study offers is the ability to predict the target audience of potential suicide bomb blasts,which may be used to eliminate future threats or,at least,minimise the number of casualties and other property losses.

关键词： Extremism terrorism suicide bombing crime prediction pattern recognition machine learning supervised learning

A Characterization of Sequentially Cohen-Macaulay Matroidal Ideals

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代数集刊:英文版 2023年第2期30卷 237-244页

作者： Payman mahmood Hamaali Amir Mafi Hero Saremi Department of Mathematics College of ScienceUniversity of Sulaimani SulaimanyahKurdistan RegionIraq Department of Mathematics University of Kurdistan P.O.Box:416SanandaIran Department of Mathematics Sanandaj Branch Islamic Azad UniversitySanandajIran

Let R=K[x1,…,xn]be the polynomial ring in n variables over a field K and I be a matroidal ideal of *** show that I is sequentially Cohen-Macaulay if and only if the Alexander dual Iy has linear *** a consequence,I is... 详细信息

关键词： sequentially Cohen-Macaulay monomial ideals matroidal ideals