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Improving Badminton Action Recognition Using Spatio-Temporal Analysis and a Weighted Ensemble Learning Model

Computers, Materials & Continua 2024年第11期81卷 3079-3096页

作者： Farida Asriani azhari azhari Wahyono Wahyono Department of Computer Science and Electronics Universitas Gadjah MadaYogyakarta55281Indonesia Electrical Engineering Department Universitas Jenderal SoedirmanPurbalingga53371Indonesia

Incredible progress has been made in human action recognition(HAR),significantly impacting computer vision applications in sports ***,identifying dynamic and complex movements in sports like badminton remains challenging due to the need for precise recognition accuracy and better management of complex motion *** learning techniques like convolutional neural networks(CNNs),long short-term memory(LSTM),and graph convolutional networks(GCNs)improve recognition in large datasets,while the traditional machine learning methods like SVM(support vector machines),RF(random forest),and LR(logistic regression),combined with handcrafted features and ensemble approaches,perform well but struggle with the complexity of fast-paced sports like *** proposed an ensemble learning model combining support vector machines(SVM),logistic regression(LR),random forest(RF),and adaptive boosting(AdaBoost)for badminton action *** data in this study consist of video recordings of badminton stroke techniques,which have been extracted into spatiotemporal *** three-dimensional distance between each skeleton point and the right hip represents the spatial *** temporal features are the results of Fast Dynamic Time Warping(FDTW)calculations applied to 15 frames of each video *** weighted ensemble model employs soft voting classifiers from SVM,LR,RF,and AdaBoost to enhance the accuracy of badminton action *** E2 ensemble model,which combines SVM,LR,and AdaBoost,achieves the highest accuracy of 95.38%.

关键词： Weighted ensemble learning badminton action soft voting classifier joint skeleton fast dynamic time warping spatiotemporal

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LDSVM: Leukemia Cancer Classification Using Machine Learning

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Computers, Materials & Continua 2022年第5期71卷 3887-3903页

作者： Abdul Karim azhari azhari Mobeen Shahroz Samir Brahim Belhaouri Khabib Mustofa Department of Computer Science&Electronics Universitas Gadjah MadaYogyakarta55281Indonesia Department of Artificial Intelligence The Islamia University of BahawalpurBahawalpur63100Pakistan Division of Information&Computer Technology College of Science&EngineeringHamad Bin Khalifa UniversityDoha5825Qatar

Leukemia is blood cancer, including bone marrow and lymphatictissues, typically involving white blood cells. Leukemia produces an abnormalamount of white blood cells compared to normal blood. Deoxyribonucleicacid (DNA) microarrays provide reliable medical diagnostic services to helpmore patients find the proposed treatment for infections. DNA microarraysare also known as biochips that consist of microscopic DNA spots attachedto a solid glass surface. Currently, it is difficult to classify cancers usingmicroarray data. Nearly many data mining techniques have failed becauseof the small sample size, which has become more critical for ***, they are not highly effective in improving results and are frequently employed by doctors for cancer diagnosis. This study proposes a novelmethod using machine learning algorithms based on microarrays of leukemiaGSE9476 cells. The main aim was to predict the initial leukemia *** learning algorithms such as decision tree (DT), naive bayes (NB),random forest (RF), gradient boosting machine (GBM), linear regression(LinR), support vector machine (SVM), and novel approach based on thecombination of Logistic Regression (LR), DT and SVM named as ensembleLDSVM model. The k-fold cross-validation and grid search optimizationmethods were used with the LDSVM model to classify leukemia in patientsand comparatively analyze their impacts. The proposed approach evaluatedbetter accuracy, precision, recall, and f1 scores than the other ***, the results were relatively assessed, which showed LDSVMperformance. This study aims to successfully predict leukemia in patientsand enhance prediction accuracy in minimum time. Moreover, a Syntheticminority oversampling technique (SMOTE) and Principal compenent analysis(PCA) approaches were implemented. This makes the records generalized andevaluates the outcomes well. PCA reduces the feature count without losing anyinformation and deals with class imbalanced dataset

关键词： Leukemia GSE9476 cancer genes classification machine learning ensemble LDSVM classifier

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Consistency of the k-Nearest Neighbor Classifier for Spatially Dependent Data

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Communications in Mathematics and Statistics 2023年第3期11卷 503-518页

作者： Ahmad Younso Ziad Kanaya Nour azhari INRAE Institut AgroMISTEAUniversitéMontpellierMontpellierFrance Department of Mathematical Statistics Faculty of SciencesDamascus UniversityDamascusSyria Department of Mathematics Faculty of SciencesTishreen UniversityLattakiaSyria

The purpose of this paper is to investigate the k-nearest neighbor classiﬁcation rule for spatially dependent *** spatial mixing conditions are considered,and under such spatial structures,the well known k-nearest neighbor rule is suggested to classify spatial *** established consistency and strong consistency of the classiﬁer under mild *** main results extend the consistency result in the *** to the spatial case.

关键词： Bayes rule Spatial data Training data k-nearest neighbor rule Mixing condition Consistency

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Safety analysis of Sormeh underground mine to improve sublevel stoping stability

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Deep Underground Science and Engineering 2023年第2期2卷 173-187页

作者： Mostafa Hosseini Amin azhari Rahman Lotfi Alireza Baghbanan Department of Mining Engineering Isfahan University of TechnologyIsfahanIran

In underground mines,sublevel stoping is used among a variety of different methods for mining an orebody,which creates large underground *** this case,the stability of these openings is affected by a number of factors,including the geometrical characteristics of the rock and mining-induced *** this study,a sensitivity analysis was conducted with the numerical,squat pillar,and Mathews stability methods using the Taguchi technique to properly understand the influence of geometric parameters and stress on stope stability according to Sormeh underground mine *** results show a full factorial analysis is more reliable since stope stability is a complex ***,the numerical results indicate that overburden stress has the most impact on stope stability,followed by stope ***,the results obtained with Mathews and squat pillar methods show that stope height has the greatest impact,followed by overburden stress and *** appears that these methods overestimate the impact of stope ***,it is highly recommended that Mathews and squat pillar methods should not be used in high stope that is divided with several sill ***,Mathews method cannot accurately predict how the sill pillar impacts the stope *** addition,numerical analysis shows that all geometric parameters affect the roof safety factor,whereas the sill pillar has no significant influence on the safety factor of the hanging wall,which is primarily determined by the stope height–span ratio.

关键词： numerical method rib pillar stope stability sublevel stoping underground mining

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Experimental study on the optimum design of diffuser-augmented horizontal-axis tidal turbine

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Clean Energy 2022年第5期6卷 776-786页

作者： Evi Elisa Ambarita Harinaldi Rifqi azhari Ridho Irwansyah Department of Mechanical Engineering Universitas IndonesiaKampus UI Depok 16424Indonesia

Ocean current energy is a promising and reliable resource that offers sustainability and predictability in realizing green future needs.A diffuser-augmented horizontal-axis turbine is utilized to generate ocean current energy.A numerical study on the impact of diffuser angle variations on the power coefficient has been carried out in the previous *** elucidate the fluid dynamics aspects and further validation of previous computational results,the experimental investigation on the optimal design of tidal turbine with 20.04°diffuser augmentation is presented in this *** study was conducted in a flowing tank with a current velocity of 0.7 m/*** maximum power coefficient of 20.04°is 0.436 experimentally,which is a little smaller than the numerical ***,to reinforce the 20.04°result,a diffuser with an angle of 10.43°was also manufactured and tested *** maximum power coefficient of 10.43°is 0.303 experimentally,which is 3%smaller than the numerical *** was concluded that the numerical approach might be considered satisfactory and represent similar phenomena to the experimental investigation in an application for modelling of multi-objective optimization.

关键词： ocean current energy tidal turbine diffuser augmentation power coefficient experimental study

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One-pot, solvent-free and efficient synthesis of 2,4,6-triarylpyridines catalyzed by nano-titania-supported sulfonic acid as a novel heterogeneous nanocatalyst

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Chinese Chemical Letters 2015年第10期26卷 1278-1282页

作者： Elham Tabrizian Ali Amoozadeh Salman Rahmani Elham Imanifar Saeede azhari Masoumeh Malmir Department of Organic Chemistry Faculty of Chemistry Semnan University

Nano titania-supported sulfonic acid（n-TSA） has found to be a highly efficient, eco-friendly and recyclable heterogeneous nanocatalyst for the solvent-free synthesis of 2,4,6-triarylpyridines through one-pot three-component reaction of acetophenones, aryl aldehydes and ammonium acetate. This reported method illustrates several advantages such as environmental friendliness reaction conditions,simplicity, short reaction time, easy work up, reusability of catalyst and high yields of the products. One new compound is reported too. Furthermore, the catalyst could be recycled after a simple work-up, and reused at least six times without substantial reduction in its catalytic activity.

关键词： Nano-titania-supported sulfonic acid Multicomponent reaction 2 4 6-Triarylpyridines Solvent free Heterogeneous nanocatalyst

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Ergonomic assessment of drivers in MF285 and MF399 tractors during clutching using algometer

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Information Processing in Agriculture 2016年第1期3卷 54-60页

作者： Hossein Fallahi Mohammad Hossein Abbaspour-Fard Amin azhari Mehdi Khojastehpour Amin Nikkhah Department of Biosystems Engineering Ferdowsi University of MashhadMashhadIran Orthopedic Research Center Mashhad University of Medical SciencesMashhadIran

Tractor as one of the most widely used agricultural machinery should be considered from different *** frequent application of clutch and brake pedals and also the steering wheel within farms,along with the unfavorable working conditions,cause negative effects on the occupational health of the tractor ***,in this research,the imposed forces on three engaged muscles including:Gastrocnemius,Trapezius and Quadrate’s lumborum of the tractor drivers during clutching have been *** this regard,algometer device was used to determine the applied forces on selective muscles of drivers during clutching of MF285 and MF399 *** experiments were performed employing sample of 30 drivers and were conducted on two Iranian frequently used tractors including:MF285 and MF399 *** results showed that the clutching forces for MF285 and MF399 tractors were 340 N and 290 N,*** knee angle of the drivers of the two tractors was statistically different at the one percent level of *** reduction of pain threshold after 30 and 60 s clutching and also 60 s rest after clutching in MF285 tractor,for all three muscles,were more than those of MF399 *** impact of clutching on the average decreases of pain threshold,for all drivers and all clutching periods,during and after clutching,in the Quadratus lumborum muscle was more than the other two muscles,in both *** order to reduce the clutching force for MF285 tractor some modifications is *** this regard the force transfer joint between the pedal and the clutch release linkage may be replaced with one made of cast iron.

关键词： Algometer Ergonomic Muscle Operator Tractor

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Investigation of physico-chemical properties and microbial community during poultry manure co-composting process

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Journal of Environmental Sciences 2015年第2期27卷 81-94页

作者： Omar Farah Nadia Loo Yu Xiang Lee Yei Lie Dzulkornain Chairil Anuar Mohammed P.Mohd Afandi Samsu azhari Baharuddin Department of Process and Food Engineering Faculty of Engineering Universiti Putra Malaysia Institute of Tropical Forestry and Forestry Products (INTROP) Putra Infoport Universiti Putra Malaysia

Co-composting of poultry manure and rubber wood sawdust was performed with the ratio of 2：1（V/V） for a period of 60 days. An investigation was carried out to study the extracellular enzymatic activities and structural degradation utilizing Fourier transform infrared spectroscopy（FT-IR）, thermogravimetry and differential thermal analysis（TG/DTA）and scanning electron microscopy（SEM）. The microbial succession was also determined by using denaturing gel gradient electrophoresis（DGGE）. The compost was able to reach its highest temperature of 71°C at day 3 and stabilized between 30 and 40°C for 8 ***, FPase and β-glucosidase acted synergistically in order to degrade the cellulosic substrate. The xylanase activities increased gradually during the composting and reached the peak value of 11.637 U/g on day 35, followed by a sharp decline. Both Li P and Mn P activities reached their peak values on day 35 with 0.431 and 0.132 U/g respectively. The FT-IR spectra revealed an increase in aromaticity and a decrease in aliphatic compounds such as carbohydrates as decomposition proceeded. TGA/DTG data exhibited significant changes in weight loss in compost samples, indicating degradation of organic matter. SEM micrographs showed higher amounts of parenchyma exposed on the surface of rubber wood sawdust at day 60, showing significant degradation. DGGE and 16 S r DNA analyses showed that Burkholderia sp., Pandoraea sp., and Pseudomonas sp. were present throughout the composting process. Ornithinibacillus sp. and Castellaniella ginsengisoli were only found in the initial stage of the composting, while different strains of Burkholderia sp. also occurred in the later stage of composting.

关键词： Composting Poultry manure Cellulose Denaturing gel gradient electrophoresis Microbial community

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A Real p-Homogeneous Seminorm with Square Property Is Submultiplicative

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Advances in Pure Mathematics 2013年第8期3卷 660-665页

作者： Mohammed El azhari Department of Mathematics Ecole Normale Supérieure Rabat Morocco

We give a functional representation theorem for a class of real p-Banach algebras. This theorem is used to show that every p-homogeneous seminorm with square property on a real associative algebra is

关键词： Functional Representation p-Homogeneous Seminorm Square Property Submultiplicative

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Comparative Analysis of COVID-19 Detection Methods Based on Neural Network

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Computers, Materials & Continua 2023年第7期76卷 1127-1150页

作者： Inès Hilali-Jaghdam azhari A Elhag Anis Ben Ishak Bushra M.Elamin Elnaim Omer Eltag Mohammed Elhag Feda Muhammed Abuhaimed S.Abdel-Khalek Computer Sciences and Information Technology Programs Applied CollegePrincess Nourah bint Abdulrahman UniversityRiyadhSaudi Arabia Department of Mathematics and Statistics College of ScienceTaif UniversityP.O.Box 11099Taif21944Saudi Arabia Department of Quantitative Methods Higher Institute of ManagementUniversity of Tunis1073Tunisia Department of Computer Science College of Science and Humanities in Al-SulailPrince Sattam Bin Abdulaziz UniversityAl KharjSaudi Arabia Department of Computer Science Faculty of Science and ArtsKing Khalid UniversityAbha61421Saudi Arabia Department of Mathematics Faculty of ScienceSohag UniversitySohagEgypt

In 2019,the novel coronavirus disease 2019(COVID-19)ravaged the *** of July 2021,there are about 192 million infected people worldwide and 4.1365 million *** present,the new coronavirus is still spreading and circulating in many places around the world,especially since the emergence of Delta variant strains has increased the risk of the COVID-19 pandemic *** symptoms of COVID-19 are diverse,and most patients have mild symptoms,with fever,dry cough,and fatigue as the main manifestations,and about 15.7%to 32.0%of patients will develop severe *** are screened in hospitals or primary care clinics as the initial step in the therapy for *** transcription-polymerase chain reaction(PCR)tests are still the primary method for making the final diagnosis,in hospitals today,the election protocol is based on medical imaging because it is quick and easy to use,which enables doctors to diagnose illnesses and their effects more *** to this approach,individuals who are thought to have COVID-19 first undergo an X-ray session and then,if further information is required,a CT-scan *** methodology has led to a significant increase in the use of computed tomography scans(CT scans)and X-ray pictures in the clinic as substitute diagnostic methods for identifying *** provide a significant collection of various datasets and methods used to diagnose COVID-19,this paper provides a comparative study of various state-of-the-art *** impact of medical imaging techniques on COVID-19 is also discussed.

关键词： Neural networks frameworks intelligent systems COVID-19 CT

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