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您的检索式：作者名="BASHIR Muhammad Umar"
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| 1 | 热轧镁/铝复合板的组织演变与拉伸性能研究显示文摘在不同压下率(40%、45%和50%)条件下采用普通平辊热轧技术制备了镁/铝复合板,并对50%压下率下制备得到的复合板进行了不同温度的退火处理,分析了不同压下率和不同退火温度对界面组织和拉伸性能的影响。结果表明,单道次轧制后,未经退火处理时,镁/铝复合板界面结合良好,无裂纹、金属间化合物出现。随着轧制压下率的增加,轧制态试样的抗拉强度提高。当压下率为50%时,最大抗拉强度为278 MPa。在50%的压下率下,随着退火温度的升高,镁/铝复合板的金属间化合物厚度增加。但是随着退火温度的升高,抗拉强度降低,当退火温度为350℃时,抗拉强度最低为220 MPa。 | BASHIR Muhammad Umar 李莎 刘志栋 REHMAN Atta Ur ALI Usman 王涛 | 2023 | 热加工工艺2023，52，14： | 2 |
| 2 | Multi Sensor-Based Implicit User Identification显示文摘Smartphones have ubiquitously integrated into our home and work environments,however,users normally rely on explicit but inefficient identification processes in a controlled environment.Therefore,when a device is stolen,a thief can have access to the owner’s personal information and services against the stored passwords.As a result of this potential scenario,this work proposes an automatic legitimate user identification system based on gait biometrics extracted from user walking patterns captured by smartphone sensors.A set of preprocessing schemes are applied to calibrate noisy and invalid samples and augment the gait-induced time and frequency domain features,then further optimized using a non-linear unsupervised feature selection method.The selected features create an underlying gait biometric representation able to discriminate among individuals and identify them uniquely.Different classifiers are adopted to achieve accurate legitimate user identification.Extensive experiments on a group of 16 individuals in an indoor environment show the effectiveness of the proposed solution:with 5 to 70 samples per window,KNN and bagging classifiers achieve 87–99%accuracy,82–98%for ELM,and 81–94%for SVM.The proposed pipeline achieves a 100%true positive and 0%false-negative rate for almost all classifiers. | Muhammad Ahmad Rana Aamir Raza Manuel Mazzara Salvatore Distefano Ali Kashif Bashir Adil Khan Muhammad Shahzad Sarfraz Muhammad Umar Aftab | 2021 | Computers, Materials & Continua2021，，8： | 0 |
| 3 | Mathematical modeling and analysis of schistosomiasis transmission dynamics显示文摘Schistosomiasis is a parasitic disease from the family of Schistosomatidae and genus Schistosoma,which is caused by blood flukes.The disease is endemic in many countries and still a serious threat to global public health and development.In this paper,a new deterministic model is designed and analyzed qualitatively to explore the dynamics of schistosomiasis transmission in human,cattle and snail populations.Results from our mathematical analysis show that the model has a disease-free equilibrium(DFE)which is locally asymptotically stable(LAS)whenever a particular epidemiological threshold quantity,also known as basic reproduction number(R0)is less than unity.Further analysis shows that the model has a unique endemic equilibrium(EE)which is globally asymptotically stable whenever R0>1 and unstable when R0<1.Furthermore,we adopt partial rank correlation coefficient for sensitivity analysis to reveal the most important parameters for effective control and mitigation of schistosomiasis disease in a community.Finally,we obtain some numerical results by simulating the entire dynamics of the model,which show that the infections in the compartments of each population decrease with respect to time.This further indicates that avoiding contact with infected human,cattle or infested water is vital to prevent the spread of schistosomiasis disease infection. | Umar T.Mustapha Salihu S.Musa Muhammad A.Lawan Aliyu Abba Evren Hincal Musa D.Mohammed Bashir D.Garba Rabiu B.Yunus Shehu A.Adamu Daihai He | 2021 | International Journal of Modeling, Simulation, and Scientific Computing2021，12，4： | 0 |
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