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作者： shahzad Khuram 中南林业科技大学

学位级别：硕士

High-strength aluminum alloy has the advantages of high specific strength,good wear resistance,strong corrosion resistance etc and its thin-walled structural parts are widely used in *** use environment will inevitably form defects such as cracks on the surface of the *** these defects can be repaired in the expansion stage,it will have a positive effect on prolonging its service *** this paper,the finite element analysis is used to analyze the repair and closure process of material subsurface cracks under the action of shot peening and the basic parameters of crack repair and the limit repair depth are obtained then the experimental process of crack repair is designed from both macro and micro *** repair effect is evaluated on the fatigue strength of crack repair and the mechanism and plastic deformation mechanism of repairing subsurface cracks of aluminum alloy materials by shot blasting are *** specific work is as follows:*** FEM for simulation analysis of surface cracks in aluminum *** ANSYS finite element model to carry out numerical simulation of surface crack repair of aluminum alloy *** the simulation analysis In order to explore the possibility of surface crack repair of aluminum alloy materials by shot peening the numerical simulation of surface crack repair of aluminum alloy materials was carried out using the ANSYS finite element *** the simulation results,the morphology and residual compressive stress of the surface cracks of the aluminum alloy material are comprehensively analyzed,and the repair of the surface cracks is studied,which proves that the shot peening treatment can repair the surface cracks of the aluminum *** design of repairing subsurface cracks in aluminum alloy *** to the requirements samples for fatigue strength testing are made and the surface of the samples is treated by shot *** that all samples have the same in

关键词： Aluminum alloy Shot peening Crack repair Mechanical properties Healing mechanism

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A New Hybrid SARFIMA-ANN Model for Tourism Forecasting

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Computers, Materials & Continua 2022年第6期71卷 4785-4801页

作者： Tanzila Saba Mirza Naveed shahzad Sonia Iqbal Amjad Rehman Ibrahim Abunadi Artificial Intelligence&Data Analytics Research Lab(AIDA) CCIS Prince Sultan UniversityRiyadh11586Saudi Arabia Department of Statistics University of GujratGujrat50700Pakistan Department of Statistics University of SialkotSialkot51310Pakistan

Many countries developed and increased greenery in their country sights to attract international *** planning is now significantly contributing to their *** next task is to facilitate the tourists by sufficient arrangements and providing a green and clean environment;it is only possible if an upcoming number of tourists’arrivals are accurately *** accurate prediction is not easy as empirical evidence shows that the tourists’arrival data often contains linear,nonlinear,and seasonal *** traditional model,like the seasonal autoregressive fractional integrated moving average(SARFIMA),handles seasonal trends with *** contrast,the artificial neural network(ANN)model deals better with nonlinear time *** get a better forecasting result,this study combines the merits of the SARFIMA and the ANN models and the purpose of the hybrid SARFIMA-ANN ***,we have used the proposed model to predict the tourists’arrival inNew Zealand,Australia,and *** results showed that the proposed hybrid model outperforms in predicting tourists’arrival compared to the traditional SARFIMA and ANN ***,these results can be generalized to predict tourists’arrival in any country or region with a complicated data pattern.

关键词： SARFIMA hybrid model tourists’arrival forecasting ANN

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Saline-Alkali Tolerance in Rice: Physiological Response, Molecular Mechanism, and QTL Identification and Application to Breeding

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Rice science 2022年第5期29卷 412-434页

作者： Ratan Kumar GANAPATI shahzad Amir NAVEED Sundus ZAFAR WANG Wensheng XU Jianlong Institute of Crop Sciences National Key Facility for Crop Gene Resources and Genetic ImprovementChinese Academy of Agricultural SciencesBeijing 100081China Shenzhen Branch Guangdong Laboratory for Lingnan Modern AgricultureAgricultural Genomics Institute at ShenzhenChinese Academy of Agricultural SciencesShenzhen 518120China

Salinity-alkalinity is incipient abiotic stress that impairs plant growth and ***(Oryza sativa)is a major food crop greatly affected by soil salinity and alkalinity,requiring tolerant varieties in the saline-alkali prone *** the molecular and physiological mechanisms of saline-alkali tolerance paves the base for improving saline-alkali tolerance in rice and leads to progress in *** review illustrated the physiological consequences,and molecular mechanisms especially signaling and function of regulating genes for saline-alkali tolerance in rice *** also discussed QTLs regarding saline-alkali tolerance accordingly and ways of deployment for *** efforts are needed to identify and utilize the identified QTLs for saline-alkali tolerance in rice.

关键词： saline-alkali tolerance physiological mechanism molecular mechanism marker-assisted backcrossing rice

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EfficientNet-Based Robust Recognition of Peach Plant Diseases in Field Images

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Computers, Materials & Continua 2022年第4期71卷 2073-2089页

作者： Haleem Farman Jamil Ahmad Bilal Jan Yasir shahzad Muhammad Abdullah Atta Ullah Department of Computer Science Islamia College Peshawar25120Pakistan Department of Computer Science FATA University Kohat26100Pakistan Department of Computer Science University of Peshawar25120Pakistan Agriculture Research Institute MingoraSwat19130Pakistan

Plant diseases are a major cause of degraded fruit quality andyield losses. These losses can be significantly reduced with early detection ofdiseases to ensure their timely treatment, particularly in developing *** this regard, an expert system based on deep learning model where the expertknowledge, particularly the one acquired by plant pathologist, is recursivelylearned by the system and is applied using a smart phone application for use inthe target field environment, is being proposed. In this paper, a robust diseasedetection method is developed based on convolutional neural network (CNN),where its powerful features extraction capabilities are leveraged to detectdiseases in images of fruits and leaves. The features extraction pipelines ofseveral state-of-the-art pretrained networks are fine-tuned to achieve optimaldetection performance. A novel dataset is collected from peach orchards andextensively augmented using both label-preserving and non-label-preservingtransformations. The augmented dataset is used to study the effects of finetuning the pretrained networks’ feature extraction pipeline as opposed tokeeping the network parameters unchanged. The CNN models, particularlyEfficientNet exhibited superior performance on the target dataset once theirfeature extraction pipelines are fine-tuned. The optimal model is able toachieve 96.6% average accuracy, 90% sensitivity and precision, and 98%specificity on the test set of images.

关键词： Peach diseases EfficientNet data augmentation transfer learning

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Facile Synthesis as well as Structural, Raman, Dielectric and Antibacterial Characteristics of Cu Doped ZnO Nanoparticles

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Journal of Materials Science & Technology 2015年第3期31卷 300-304页

作者： Javed Iqbal Nauman Safdar tariq Jan Muhammad Ismail S.S.Hussain Arshad Mahmood Shaheen shahzad Qaisar Mansoor Laboratory of Nanoscience and Technology Department of Physics International Islamic University Institute of Biomedical and Genetic Engineering (IBGE) Nano Devices Labs National Institute of Lasers and Optronics (NILOP) Department of Bioinformatics and Biotechnology International Islamic University

Here, undoped and Cu doped ZnO nanoparticles(NPs) have been prepared by chemical co-precipitation technique. X-ray diffraction(XRD) results reveal that Cu ions are successfully doped into ZnO matrix without altering its wurtzite phase. The single wurtzite phase of ZnO is retained even for 10 wt% Cu doped ZnO sample. It is observed from the electron microscopy results that higher level of Cu doping varies the morphology of ZnO NPs from spherical to flat NPs. Moreover, the particle size is found to increase with the increase in Cu doping level. Raman spectroscopy results further confirm that Cu dopant has not altered the wurtzite structure of ZnO. Impedance spectroscopy results reveal that the dielectric constant and dielectric loss have increasing trend with Cu doping. Cu doping has been found to slightly decrease the bactericidal potency of ZnO nanoparticles.

关键词： Cu doped ZnO Nanoparticles Co-precipitation method

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Pythagorean Fuzzy Einstein Aggregation Operators with Z-Numbers:Application in Complex Decision Aid Systems

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Computer Modeling in Engineering & Sciences 2023年第12期137卷 2795-2844页

作者： shahzad Noor Abbasi Shahzaib Ashraf M.Shazib Hameed Sayed M.Eldin Institute of Mathematics Khwaja Fareed University of Engineering&Information TechnologyRahim Yar Khan64200Pakistan Center of Research Faculty of EngineeringFuture University in EgyptNew Cairo11835Egypt

The primary goal of this research is to determine the optimal agricultural field selection that would most effectively support manufacturing producers in manufacturing production while accounting for unpredictability and reliability in their *** PFS is known to address the levels of participation and *** begin,we introduce the novel concept of a PFZN,which is a hybrid structure of Pythagorean fuzzy sets and the *** PFZN is graded in terms of membership and non-membership,as well as reliability,which provides a strong advice in real-world decision support *** PFZN is a useful tool for dealing with uncertainty in decision-aid *** PFZN is a practical way for dealing with such uncertainties in decision-aid *** list of aggregation operators:PFZN Einstein weighted averaging and PFZN Einstein weighted geometric,is established under the novel Pythagorean fuzzy *** is a more precise mathematical instrument for dealing with precision and *** core of this research is to develop a numerical algorithmto tackle the uncertainty in real-life problems using *** show the applicability and effectiveness of the proposed algorithm,we illustrate the numerical case study related to determining the optimal agricultural *** main purpose of this work is to describe the extended EDAS approach,then compare the proposed methodology with many other methodologies now in use,and then demonstrate how the suggested methodology may be applied to real-world *** addition,the final ranking results that were obtained by the devised techniques weremore efficient and dependable in comparison to the results provided by other methods presented in the literature.

关键词： Pythagorean fuzzy Z-number Einstein weighted averaging Pythagorean fuzzy Z-number Einstein weighted geometric decision making

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Automatic Eyewitness Identification During Disasters by Forming a Feature-Word Dictionary

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Computers, Materials & Continua 2022年第9期72卷 4755-4769页

作者： shahzad Nazir Muhammad Asif Shahbaz Ahmad Hanan Aljuaid Shahbaz Ahmad Yazeed Ghadi Zubair nawaz Department of Computer Science National Textile UniversityFaisalabadPakistan Computer Sciences Department College of Computer and Information SciencesPrincess Nourah bint Abdulrahman University(PNU)P.O.Box 84428Riyadh 11671Saudi Arabia Department of Software Engineering and Computer Science Al Ain UniversityAbu DhabiUnited Arab Emirates Department of Data Science University of the PunjabPakistan

Social media provide digitally interactional technologies to facilitate information sharing and exchanging ***,in case of disasters,a massive corpus is placed on platforms such as *** accounts can benefit humanitarian organizations and agencies,but identifying the eyewitness Tweets related to the disaster from millions of Tweets is *** approaches have been developed to address this kind of *** recent state-of-the-art system was based on a manually created dictionary and this approach was further refined by introducing linguistic ***,these approaches suffer from limitations as they are dataset-dependent and not *** this paper,we proposed a method to identify eyewitnesses from *** experiment,we utilized 13 features discovered by the pioneer of this domain and can classify the tweets to determine the *** each feature,a dictionary of words was created with the Word Dictionary Maker algorithm,which is the crucial contribution of this *** algorithm inputs some terms relevant to a specific feature for its initialization and then creates the words ***,keyword matching for each feature in tweets is *** a feature exists in a tweet,it is termed as 1;otherwise,***,for 13 features,we created a file that reflects features in each *** classify the tweets based on features,Naïve Bayes,Random Forest,and Neural Network were *** approach was implemented on different disasters like earthquakes,floods,hurricanes,and Forest *** results were compared with the state-of-the-art linguistic rule-based system with 0.81 F-measure *** the same time,the proposed approach gained a 0.88 value of *** results were comparable as the proposed approach is not ***,it can be used for the identification of eyewitness accounts.

关键词： Word dictionary social media eyewitness identification disasters

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A Multi-Modal Deep Learning Approach for Emotion Recognition

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Intelligent Automation & Soft Computing 2023年第5期36卷 1561-1570页

作者： H.M.shahzad Sohail Masood Bhatti Arfan Jaffar Muhammad Rashid The Superior University LahorePakistan National University of Technology IslamabadPakistan Intelligent Data Visual Computing Research(IDVCR) LahorePakistan

In recent years,research on facial expression recognition(FER)under mask is *** a mask for protection from Covid 19 has become a compulsion and it hides the facial expressions that is why FER under the mask is a difﬁcult *** prevailing unimodal techniques for facial recognition are not up to the mark in terms of good results for the masked face,however,a multi-modal technique can be employed to generate better *** proposed a multi-modal methodology based on deep learning for facial recognition under a masked face using facial and vocal *** multimodal has been trained on a facial and vocal *** have used two standard datasets,M-LFW for the masked dataset and CREMA-D and TESS dataset for vocal *** vocal expressions are in the form of audio while the faces data is in image form that is why the data is *** order to make the data homogeneous,the voice data is converted into images by taking spectrogram.A spectrogram embeds important features of the voice and it converts the audio format into the ***,the dataset is passed to the multimodal for *** network and the experimental results demonstrate that the proposed multimodal algorithm outsets unimodal methods and other state-of-the-art deep neural network models.

关键词： Deep learning facial expression recognition multi-model neural network speech emotion recognition spectrogram covid-19

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Framework for Effective Utilization of Distributed Scrum in Software Projects

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Computer Systems Science & Engineering 2023年第1期44卷 407-422页

作者： Basit shahzad Wardah Naeem Awan Fazal-e-Amin Ahsanullah Abro Muhammad Shoaib Sultan Alyahya Department of Software Engineering National University of Modern LanguagesIslamabad44000Pakistan Department of Software Engineering College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia Department of Computer Science Sukkur IBA UniversitySindh65200Pakistan Department of Information Systems College of Computer and Information SciencesKing Saud UniversityRiyadh11543Saudi Arabia

There is an emerging interest in using agile methodologies in Global Software Development(GSD)to get the mutual benefits of both *** is currently admired by many development teams as an agile most known meth-odology and considered adequate for collocated *** the same time,stake-holders in GSD are dispersed by geographical,temporal,and socio-cultural *** to the controversial nature of Scrum and GSD,many significant challenges arise that might restrict the use of Scrum in *** conducted a Sys-tematic Literature Review(SLR)by following Kitchenham guidelines to identify the challenges that limit the use of Scrum in GSD and to explore the mitigation strategies adopted by practitioners to resolve the *** validate our reviewfindings,we conducted an industrial survey of 305 *** results of our study are consolidated into a research *** framework represents current best practices and recommendations to mitigate the identified distributed scrum challenges and is validated byfive experts of distributed *** of the expert review were found supportive,reflecting that the framework will help the stakeholders deliver sustainable products by effectively mitigating the identified challenges.

关键词： Global software development distributed Scrum sustainable development challenges mitigation strategies

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Adsorption removal of endosulfan through Saccharum officinarum derived activated carbon from selected soils

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Journal of Central South University 2019年第1期26卷 146-157页

作者： Khuram shahzad AHMAD Department of Environmental Sciences Fatima Jinnah Women University

Pesticide contamination causes precarious implications on human health and *** the investigation of its sorption phenomenon is highly *** insecticide was examined for its adsorption behavior on ten assorted soils through batch equilibrium *** coefficient values(Kd)ranged from 1.4μg/mL to 18μg/*** highest Kd value was obtained for Peshawar soil owing to the presence of highest amount of organic matter(1.4%).Negative values of Gibbs free energy displayed a low interaction between soil and pesticide,exhibiting that the reaction was physiosorption and exothermic in *** analysis showed a negative correlation of soil pH and Kd(R^2=–0.77 and p=0.03)and a positive correlation with organic matter(R^2=0.96).Activated carbon prepared from Saccharum officinarum bagasse removed significant amount *** maximum removal observed was 93%and 97%in 5×10^–6 and 7.5×10^–6,*** carbon prepared from biomass for removal purposes was proved to be highly efficient and cost effective.

关键词： soil endosulfan adsorption activated carbon sugarcane husk

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