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Data Information integrated Neural Network (DINN) algorithm for modelling and interpretation performance analysis for energy systems

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Energy and AI 2024年第2期16卷 306-315页

作者： waqar muhammad Ashraf Vivek Dua The Sargent Centre for Process Systems Engineering Department of Chemical EngineeringUniversity College LondonTorrington PlaceLondon WC1E 7JEUK

Developing a well-predictive machine learning model that also offers improved interpretability is a key challenge to widen the application of artificial intelligence in various application domains. In this work, we present a Data Information integrated Neural Network (DINN) algorithm that incorporates the correlation information present in the dataset for the model development. The predictive performance of DINN is also compared with a standard artificial neural network (ANN) model. The DINN algorithm is applied on two case studies of energy systems namely energy efficiency cooling (ENC) & energy efficiency heating (ENH) of the buildings, and power generation from a 365 MW capacity industrial gas turbine. For ENC, DINN presents lower mean RMSE for testing datasets (RMSE_test = 1.23 %) in comparison with the ANN model (RMSE_test = 1.41 %). Similarly, DINN models have presented better predictive performance to model the output variables of the two case studies. The input perturbation analysis following the Gaussian distribution for noise generation reveals the order of significance of the variables, as made by DINN, can be better explained by the domain knowledge of the power generation operation of the gas turbine. This research work demonstrates the potential advantage to integrate the information present in the data for the well-predictive model development complemented with improved interpretation performance thereby opening avenues for industry-wide inclusion and other potential applications of machine learning.

关键词： Explainable AI Model interpretation Scientific machine learning Artificial neural network Loss function

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Electronic and thermoelectric properties of YbMg_(2)X_(2)(X=P,As,Sb,Bi)zintl compounds by first-principles method

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Journal of Rare Earths 2024年第1期42卷 147-154,I0006页

作者： Sajid Khan Dil Faraz Khan R.Neffati Tariq Usman muhammad waqar Ahsraf Shamim Khan Saeed Ullah Jan G.Murtaza Department of Physics University of Science&Technology BannuBannu28100Pakistan Department of Physics Faculty of ScienceKing Khalid UniversityP.O.Box 9004AbhaSaudi Arabia Laboratoire de Physique de La Matiere Condensee Departement de PhysiqueFaculte des Sciences de TunisUniversite Tunis El ManarCampus Universitaire1060TunisTunisia Department of Physics Shaoxing UniversityShaoxing312000China Department of Mathematics&Natural Sciences Prince Mohammad Bin Fahd UniversityAlkhobar31952Saudi Arabia Materials Modeling Lab Department of PhysicsIslamia College Peshawar25120KhyberPakhtunkhwaPakistan

In this work the structural,electronic and thermoelectric properties of YbMg_(2)X_(2)(X=P,As,Sb,Bi)zintl compounds were investigated comprehensively using first principles *** electronic properties were studied using PBE GGA,TB-mBJ and hybrid(YS-PBE0)*** the structural parameters of optimized structures are in harmonious agreement to the available *** band structure study illustrates that the titled materials manifest metallic and semi metallic nature using PBE and TB-mBJ potentials while they show wide band gap semiconducting behavior by following hybrid(YS-PBE0)*** density of states(TDOS)and partial density of states(PDOS)were also calculated to glimpse the contribution of orbitals of atoms in the formation of *** properties were studied by using BoltzTraP2 code employed to *** get enormous values of Seebeck coefficient(S),power factor(PF)and thermoelectric figure of merit(ZT)for all the samples YbMg_(2)X_(2)(X=P,As,Sb,Bi),Moreover,the overwhelming transport properties for the titled compounds indicate the optimum level of carriers’concentration which pinpoints these materials to be better thermoelectrics in the 1-2-2 zintl family.

关键词： Zintl compounds Hybrid functional Band structure Thermoelectrics Rare earths

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Analysis of ancient Rongcharong landslide dam failure events in the Suwalong reach of the upper reaches of the Jinsha River

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Journal of Earth Science 2024年

作者： Yongchao Li Songfeng Guo Bowen Zheng Yu Zou Shengyuan Song Yiwei Zhang Jianhua Yan muhammad Faisal waqar Khan Zada Shengwen Qi Jianping Chen Institute of Geology and Geophysics， Chinese Academy of Sciences Innovation Academy for Earth Science， Chinese Academy of Sciences College of Construction Engineering， Jilin University College of Earth and Planetary Science， University of Chinese Academy of Sciences School of City and Architecture Engineering， Zaozhuang University School of Earth Sciences and Engineering， Hohai University Geo-technical and Geo-Environmental Engineering Division， National Engineering Service Pakistan

Active tectonic movements and geological disasters frequently occur in the upper reaches of the Jinsha River， increasing the likelihood of landslides obstructing the river. Taking the ancient Rongcharong landslide dam failure events in the Suwalong reach as an example， this paper first analyzes the accuracy and applicability of the commonly used methods in calculating the peak flow of the dam failure， such as the empirical formula， the numerical method based on the physical mechanism， and the computational fluid dynamics (CFD) method. Then， the peak flood flow of the Rongcharong-dammed lake when it overflows the dam is determined to be 28393～64272m3/s. At the same time， the failure process of landslide dam due to flood erosion was elucidated using the CFD method， which can be divided into three stages: gradual erosion in the initial stage， rapid development in the middle stage， and gradual expansion in the final stage. Finally， the factors that affect the peak flow of floods are analyzed， and suggestions for emergency treatment of landslide dams are put forward. The findings of this research can serve as a valuable reference for disaster prevention and mitigation strategies to adapt to the increasing frequency of landslide-induced river blockages.

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A Double-Branch Xception Architecture for Acute Hemorrhage Detection and Subtype Classification

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Computers, Materials & Continua 2023年第9期76卷 3727-3744页

作者： muhammad Naeem Akram muhammad Usman Yaseen muhammad waqar muhammad Imran Aftab Hussain Department of Computer Science COMSATS University IslamabadIslamabad45550Pakistan Department of Software Engineering Capital University of Science&TechnologyIslamabad44000Pakistan

This study presents a deep learning model for efficient intracranial hemorrhage(ICH)detection and subtype classification on non-contrast head computed tomography(CT)*** refers to bleeding in the skull,leading to the most critical life-threatening health condition requiring rapid and accurate *** is classified as intra-axial hemorrhage(intraventricular,intraparenchymal)and extra-axial hemorrhage(subdural,epidural,subarachnoid)based on the bleeding location inside the *** computer-aided diagnoses(CAD)-based schemes have been proposed for ICH detection and classification at both slice and scan ***,these approaches performonly binary classification and suffer from a large number of parameters,which increase storage ***,the accuracy of brain hemorrhage detection in existing models is significantly low for medically critical *** overcome these problems,a fast and efficient system for the automatic detection of ICH is *** designed a double-branch model based on xception architecture that extracts spatial and instant features,concatenates them,and creates the 3D spatial context(common feature vectors)fed to a decision tree classifier for final *** data employed for the experimentation was gathered during the 2019 Radiologist Society of North America(RSNA)brain hemorrhage detection *** model outperformed benchmark models and achieved better accuracy in intraventricular(99.49%),subarachnoid(99.49%),intraparenchymal(99.10%),and subdural(98.09%)categories,thereby justifying the performance of the proposed double-branch xception architecture for ICH detection and classification.

关键词： Computed tomography convolutional neural networks intracranial hemorrhage xception architecture

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Increasing Crop Quality and Yield with a Machine Learning-Based Crop Monitoring System

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Computers, Materials & Continua 2023年第8期76卷 2401-2426页

作者： Anas Bilal Xiaowen Liu Haixia Long muhammad Shafiq muhammad waqar College of Information Science Technology Hainan Normal UniversityHaikou571158China School of Information Engineering Qujing Normal UniversityQujing655011China Department of Computer Science COMSATS UniversityIslamabad45550Pakistan

Farming is cultivating the soil,producing crops,and keeping *** agricultural sector plays a crucial role in a country’s economic *** research proposes a two-stage machine learning framework for agriculture to improve efficiency and increase crop *** the first stage,machine learning algorithms generate data for extensive and far-flung agricultural areas and forecast *** recommended crops are based on various factors such as weather conditions,soil analysis,and the amount of fertilizers and pesticides *** the second stage,a transfer learningbased model for plant seedlings,pests,and plant leaf disease datasets is used to detect weeds,pesticides,and diseases in the *** proposed model achieved an average accuracy of 95%,97%,and 98% in plant seedlings,pests,and plant leaf disease detection,*** system can help farmers pinpoint the precise measures required at the right time to increase yields.

关键词： Machine learning computer vision trends in smart farming precision agriculture Agriculture 4.0

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An updated systematic review of Zika virus-linked complications

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Asian Pacific Journal of Tropical Medicine 2018年第1期11卷 1-8页

作者： Braira Wahid Amjad Ali muhammad waqar muhammad Idrees Centre for Applied Molecular Biology University of the Punjab Genome Centre for Molecular Based Diagnostics and Research Centre Hazara University

Objective: To determine the breadth of Zika virus(ZIKV)-associated brain anomalies in neonates and adults. Methods: Systematic review was conducted according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses(PRISMA) statement using electronic databases ScienceDirect, Pubmed, Medline, Scopus, and Global Health *** those research articles, case studies, case-control studies, case-cohort studies, crosssectional studies, and organizational survey reports were included in the study that reported any fetal outcomes for pregnant women who had infected with ZIKV during the gestational period and ZIKV-related neurological complications in adults as well. Results: Out of total 72 retrieved articles, 50 met the inclusion criteria. We estimated a significant increase in incidence of neural abnormalities such as Guillain-Barre syndrome and microcephaly in the regions that are experiencing ZIKV outbreaks. Other neurological malformations found in ZIKV patients include hydrancephaly/hydrops fetalis, myasthenia gravis,meningoencephalitis and myelitis. Conclusion: Our systematic analysis provides the broad spectrum of neurological malformations in ZIKV infected patients and these data further support the causal link of ZIKV with neurological disorders.

关键词： Zika virus Microcephaly Guillain-Barre syndrome Acute myelitis Meningoencephalitis hydrancephaly/hydrops fetalis Myasthenia gravis

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Instagram Mobile Application Digital Forensics

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Computer Systems Science & Engineering 2021年第5期37卷 169-186页

作者： muhammad Asim Mubarik Zhijian Wang Yunyoung Nam Seifedine Kadry muhammad Azam waqar College of Information and Computer Science Hohai UniversityNanjing210098China Department of Computer Science and Engineering Soonchunhyang UniversityAsan336811Korea Department of Mathematics and Computer Science Beirut Arab UniversityBeirut000000Lebanon School of Business Management NFC Institute of Engineering&Fertilizer ResearchFaisalabad38800Pakistan

In this research,we developed a plugin for our automated digital forensics framework to extract and preserve the evidence from the Android and the IOS-based mobile phone application,*** plugin extracts personal details from Instagram users,e.g.,name,user name,mobile number,ID,direct text or audio,video,and picture messages exchanged between different Instagram *** developing the plugin,we identified resources available in both Android and IOS-based devices holding key forensics *** highlighted the poor privacy scheme employed by *** work,has shown how the sensitive data posted in the Instagram mobile application can easily be reconstructed,and how the traces,as well as the URL links of visual messages,can be used to access the privacy of any Instagram user without any critical credential *** also employed the anti-forensics method on the Instagram Android’s application and were able to restore the application from the altered or corrupted database file,which any criminal mind can use to set up or trap someone *** outcome of this research is a plugin for our digital forensics ready framework software which could be used by law enforcement and regulatory agencies to reconstruct the digital evidence available in the Instagram mobile application directories on both Android and IOS-based mobile phones.

关键词： Digital forensics Instagram mobile application forensics antiforensics forensics framework plugin

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Malware Detection in Android IoT Systems Using Deep Learning

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Computers, Materials & Continua 2023年第2期74卷 4399-4415页

作者： muhammad waqar Sabeeh Fareed Ajung Kim Saif Ur Rehman Malik muhammad Imran muhammad Usman Yaseen Department of Computer Science COMSATS UniversityIslamabad45550Pakistan Department of Optical Engineering Sejong UniversitySeoul143747Korea Cybernetica AS Tallinn12618Estonia

The Android Operating System(AOS)has been evolving since its inception and it has become one of the most widely used operating system for the Internet of Things(IoT).Due to the high popularity and reliability ofAOS for IoT,it is a target of many cyber-attacks which can cause compromise of privacy,financial loss,data integrity,unauthorized access,denial of services and so *** Android-based IoT(AIoT)devices are extremely vulnerable to various malwares due to the open nature and high acceptance of Android in the ***,several detection preventive malwares are developed to conceal their malicious activities from analysis ***,conventional malware detection techniques could not be applied and innovative countermeasures against such anti-detection malwares are indispensable to secure the *** this paper,we proposed the novel deep learning-based real-time multiclass malware detection techniques for the AIoT using dynamic *** results show that the proposed technique outperforms existing malware detection techniques and achieves detection accuracy up to 99.87%.

关键词： Android cyber security deep learning internet of things malware detection

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Experimental Study on Heat Storage Properties Comparison of Paraffin/Metal Foams Phase Change Material Composites

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Journal of Thermal Science 2024年第2期33卷 469-478页

作者： waqar AHMED Abid HUSSAIN Hanzla SHAHID Imran ALI Hafiz muhammad ALI Department of Mechanical Engineering University of Engineering and TechnologyTaxila47080Pakistan Department of Mechanical Engineering Institute of Space TechnologyIslamabadPakistan Department of Mechanical Mechatronics and Manufacturing EngineeringUniversity of Engineering and Technology LahoreFaisalabad CampusPunjabPakistan Mechanical Engineering Department King Fahd University of Petroleum and MineralsDhahran31261Saudi Arabia Interdisciplinary Research Center for Renewable Energy and Power Systems(IRC-REPS) King Fahd University of Petroleum and MineralsDhahran31261Saudi Arabia

Heat storage properties of phase change materials(PCMs) are essential characteristics that perform a key role in thermal heat energy storage *** thermal properties of PCMs can be improved by developing metal foam/PCM *** addition of metal foam in PCMs has a significant effect on the thermal characteristics of *** this paper,the heat storage properties of two different metal foam/PCM composites were experimentally *** behavior of paraffin in metal foam(copper and iron-nickel)/paraffin composites concerning pure paraffin at a constant heat flux of 1000 W/m^(2) in three directions simultaneously(x,y,and z) was *** was infiltrated into copper and iron-nickel foams to develop composite materials which resulted in enhancing the thermal conductivity of the paraffin.A comparative analysis is made on the heat storage properties of paraffin in copper and iron-nickel foams/paraffin *** temperature distribution during the phase transition process is experimentally *** comparison indicates that temperature uniformity in copper foam/paraffin composite is better than in iron-nickel foam/paraffin composite and pure paraffin at the same heat *** results show that at heat flux of 1000 W/m^(2),the heat storage time for copper foam/paraffin composite is 20.63% of that of iron-nickel foam/paraffin composite.

关键词： heat storage capacity paraffin/metal foam composite temperature uniformity heat storage rate phase transition process

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Comparative analysis of jet and underlying event properties across various models as a function of charged particle multiplicity at 7 TeV

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Chinese Physics C 2024年第9期48卷 118-125页

作者： Maryam waqar Haifa I.Alrebdi muhammad Waqas K.S.Al-mugren muhammad Ajaz Department of Physics Abdul Wali Khan University MardanMardan 23200Pakistan Department of Physics College of SciencePrincess Nourah bint Abdulrahman UniversityP.O.Box 84428Riyadh 11671Saudi Arabia School of Nuclear Science and Technology University of Chinese Academy of SciencesBeijing 100049China

In this study,a comprehensive analysis of jets and underlying events as a function of charged particle multiplicity in proton-proton(pp)collisions at a center-of-mass energy of √s=7 TeV is *** Monte Carlo(MC)event generators,including Pythia8.308,EPOS 1.99,EPOSLHC,EPOS4_(Hydro),and EPOS4_(noHydro),are employed to predict particle *** predictions from these models are compared with experimental data from the CMS *** charged particles are categorized into those associated with underlying events and those linked to jets,and the analysis is restricted to charged particles with|η|0.25 GeV/*** comparing the MC predictions with CMS data,we find that EPOS4_(Hydro),EPOSLHC,and Pythia8 consistently reproduce the experimental results for all charged particles,underlying events,intrajets,and leading charged *** charged jet rates with p_T^(***)>5 GeV/c,EPOS4_(Hydro)and Pythia8 perform exceptionally *** the case of charged jet rates with p_T^(***)→30 GeV/c,EPOSLHC reproduces satisfactorily good results,whereas EPOS4 Hydro exhibits good agreement with the data at higher charged particle multiplicities compared to the other *** can be attributed to the conversion of energy into flow when"Hydro=on"leading to an increase in *** EPOSLHC model describes the data better owing to the new collective flow effects,correlated flow treatment,and parameterization compared to EPOS ***,the examination of the jet p_T spectrum and normalized charged p_T density reveals that EPOS4_(Hydro),EPOS4_(noHydro),and EPOSLHC exhibit good agreement with the experimental results,whereas Pythia8 and EPOS 1.99 do not perform as well owing to the lack of correlated flow treatment.

关键词： Monte Carlo models underlying event jets charged particle multiplicity

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