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| 1 | 单壁碳和多壁碳纳米管内多孔纤毛脉动诱导流体流动的熵分析(英文)显示文摘对均匀磁场和多孔介质作用下水平纤毛管内黏性纳米流体流动的热力学进行分析。另外,对存在内部热源和热辐射的情况也进行了能量分析。加入碳纳米管(CNTs)增强了基流水的热导率。通过公式转换得到一组非线性耦合偏微分方程。通过相似变量的转换,将控制微分系统转化为一个常微分系统。计算了温度、动量和压力梯度分布的封闭形式的精确解。本研究主要研究了碳纳米管的导电性,讨论了不同流线的模式。热力学分析表明,电流系统的熵随着Brinkmann 数、磁性参数、纳米粒子浓度参数和Darcy 数的增大而增大。 | Muhammad N ABRAR Muhammad SAGHEER Shafqat HUSSIAN | 2019 | Journal of Central South University2019，26，8： | 3 |
| 2 | 哈尔滨地区汛期径流量变化趋势与复杂性分析显示文摘区域水文要素复杂性研究是当今的热点问题,为了研究哈尔滨地区汛期径流量的复杂性特征及变化趋势,将R/S分析法和等概率粗粒化LZC算法引入到区域径流复杂性分析与变化趋势预测中,对地区内10个水文站点的汛期径流序列的复杂性进行诊断并对其变化趋势进行分析。研究结果表明:哈尔滨、通河、阿城、依兰、烟囱山各站未来的汛期径流量呈减少趋势,岔林河、莲花、西北河、延寿、四平山各站未来的汛期径流量呈增长趋势;各站点汛期径流序列的复杂度由高到低依次为:四平山、烟囱山、岔林河、阿城、西北河、依兰、莲花、通河、哈尔滨、延寿;从河流集水面积对其径流长程相关性和复杂性的影响可以看出,站点的河流集水面积越大,其径流量的长程相关性越强,复杂性指数越小。研究成果揭示了本地区汛期径流量的变化趋势以及复杂性演变特征,该特征可为区域径流预测及水资源优化配置提供科学依据。 | 刘东 程晨 KHAN Muhammad Imran FAIZ Muhammad Abrar | 2017 | 华北水利水电大学学报(自然科学版)2017，38，4： | 3 |
| 3 | The changing epidemiology pattern and frequency distribution of hepatitis C virus in Pakistan显示文摘 | Sadia Butt Muhammad Idrees Haji Akbar Irshad ur Rehman Zunaira Awan Samia Afzal Abrar Hussain Muhammad Shahid Sobia Manzoor Shazia Rafique | 2010 | Infection Genetics and Evolution2010，，5： | 2 |
| 4 | Prevalence of HBV infection in suspected population of conflict-affected area of war against terrorism in North Waziristan FATA Pakistan显示文摘 | Amjad Ali Muhammad Nisar Muhammad Idrees Habib Ahmad Abrar Hussain Shazia Rafique Sabeen Sabri Habib ur Rehman Liaqat Ali Shariatullah Wazir Tariq Khan | 2012 | Infection, Genetics and Evolution2012，，8： | 1 |
| 5 | Impact of prior antibiotic use in culture-negative endocarditis: review of 86 cases from southern Pakistan显示文摘 | Bilal Karim Siddiqui Muhammad Tariq Atif Jadoon Mahboob Alam Ghulam Murtaza Bilal Abid Muhammad Jawad Sethi Mehnaz Atiq Sohail Abrar Raymond A. Smego | 2008 | International Journal of Infectious Diseases2008，，5： | 1 |
| 6 | Seroepidemiology of dengue fever in Khyber Pakhtunkhawa, Pakistan显示文摘 | Amjad Ali Habib ur Rehman Muhammad Nisar Shazia Rafique Sadia Ali Abrar Hussain Nausheen Muhammad Idrees Sabeen Sabri Hakeem Zada Shah Hussain | 2013 | International Journal of Infectious Diseases2013，，7： | 1 |
| 7 | Association of XRCC1, XRCC3, and XPD genetic polymorphism with an increased risk of hepatocellular carcinoma because of the hepatitis B and C virus显示文摘 | Asma Gulnaz Ali H. Sayyed Farah Amin Abrar ul Haq Khan Muhammad A. Aslam Rehan S. Shaikh Muhammad Ali | 2013 | European Journal of Gastroenterology & Hepatology2013，，2： | 1 |
| 8 | Resource Management in UAV Enabled MEC Networks显示文摘Mobile edge cloud networks can be used to offload computationally intensive tasks from Internet of Things(IoT)devices to nearby mobile edge servers,thereby lowering energy consumption and response time for ground mobile users or IoT devices.Integration of Unmanned Aerial Vehicles(UAVs)and the mobile edge computing(MEC)server will significantly benefit small,battery-powered,and energy-constrained devices in 5G and future wireless networks.We address the problem of maximising computation efficiency in U-MEC networks by optimising the user association and offloading indicator(OI),the computational capacity(CC),the power consumption,the time duration,and the optimal location planning simultaneously.It is possible to assign some heavy tasks to the UAV for faster processing and small ones to the mobile users(MUs)locally.This paper utilizes the k-means clustering algorithm,the interior point method,and the conjugate gradient method to iteratively solve the non-convex multi-objective resource allocation problem.According to simulation results,both local and offloading schemes give optimal solution. | Muhammad Abrar Ziyad M.Almohaimeed Ushna Ajmal Rizwan Akram Rooha Masroor Muhammad Majid Hussain | 2023 | Computers, Materials & Continua2023，，3： | 0 |
| 9 | Smart MobiNet:A Deep Learning Approach for Accurate Skin Cancer Diagnosis显示文摘The early detection of skin cancer,particularly melanoma,presents a substantial risk to human health.This study aims to examine the necessity of implementing efficient early detection systems through the utilization of deep learning techniques.Nevertheless,the existing methods exhibit certain constraints in terms of accessibility,diagnostic precision,data availability,and scalability.To address these obstacles,we put out a lightweight model known as Smart MobiNet,which is derived from MobileNet and incorporates additional distinctive attributes.The model utilizes a multi-scale feature extraction methodology by using various convolutional layers.The ISIC 2019 dataset,sourced from the International Skin Imaging Collaboration,is employed in this study.Traditional data augmentation approaches are implemented to address the issue of model overfitting.In this study,we conduct experiments to evaluate and compare the performance of three different models,namely CNN,MobileNet,and Smart MobiNet,in the task of skin cancer detection.The findings of our study indicate that the proposed model outperforms other architectures,achieving an accuracy of 0.89.Furthermore,the model exhibits balanced precision,sensitivity,and F1 scores,all measuring at 0.90.This model serves as a vital instrument that assists clinicians efficiently and precisely detecting skin cancer. | Muhammad Suleman Faizan Ullah Ghadah Aldehim Dilawar Shah Mohammad Abrar Asma Irshad Sarra Ayouni | 2023 | Computers, Materials & Continua2023，77，12： | 0 |
| 10 | Piracy of copyright in Pakistan and its effects显示文摘 | Muhammad Abrar | 2010 | US-China Law Review2010，7，6： | 0 |
| 11 | Influence of cold plasma treatment on insecticidal properties of wheat seeds against red flour beetles显示文摘For the long-term fortification of warehoused crops, the insecticidal impact of cold plasma treated wheat seeds against red flour beetles are studied.In this study, the gain weight loss,mortality and repellency tests of cold plasma treated seeds are investigated and statistical analysis is carried out by SPSS software.Cold plasma treatment is carried out at 800 V for 1 and 4 min.The results show that the minimum grain weight loss is observed in plasma treated seeds as compared to controlled seeds.It is also observed that the mortality rate is minimum in the controlled seed while maximum at 4 min plasma treatment.Similarly, the repellent effect has a very small variation as compared to the controlled seed for Tribolium Castaneum.Therefore, plasma treatment can be considered as a practical and effective method for seed protection against red floor beetles particularly during long-term storage by controlling the insecticidal effects. | S AFSHEEN U FATIMA T IQBAL M ABRAR S MUHAMMAD A SAEED M ISA M F MALIK S SHAMAS | 2019 | Plasma Science and Technology2019，21，8： | 0 |
| 12 | Experimental Study on Volume Change Indices of Bentonite Soils显示文摘This paper reports experimental results regarding statically compacted clay specimens to study the volume change behavior of bentonites. The volume change indices such as the coefficients of compressibility, volume compressibility, and consolidation (i.e. av, mv and cv respectively) and the saturated coefficient of permeability k at different surcharge pressures were determined with the commonly adopted procedures. The swell potentials, swelling pressures, different phases of the swollen specimens were analyzed for the volume change behavior during compression. Experimental results revealed that the swell potential is dependent on the initial dry density, the initial water content and the vertical pressure at which the clay specimens were allowed to swell. The swelling pressure was found to be similar for the specimens with varying water content, showing strong dependency on the initial void ratio. The compression indices (viz. mv and av) of saturated specimens decreased with an increase in the vertical pressure. About 80% to 90% of the volume change occurred in the primary compression phase under any given vertical pressure. The coefficient of consolidation cv and the saturated coefficient of permeability k decreased with an increase in the vertical pressure. | Muhammad Babar Khan Muhammad Abrar Khan Ayham Abdulsamad | 2007 | Journal of Southwest Jiaotong University(English Edition)2007，15，4： | 0 |
| 13 | Pakistan Electronic Media Legal and Regulatory System显示文摘 | Muhammad Abrar | 2014 | Journalism and Mass Communication2014，4，1： | 0 |
| 14 | A Convolutional Neural Network Model for Wheat Crop Disease Prediction显示文摘Wheat is the most important cereal crop,and its low production incurs import pressure on the economy.It fulfills a significant portion of the daily energy requirements of the human body.The wheat disease is one of the major factors that result in low production and negatively affects the national economy.Thus,timely detection of wheat diseases is necessary for improving production.The CNN-based architectures showed tremendous achievement in the image-based classification and prediction of crop diseases.However,these models are computationally expensive and need a large amount of training data.In this research,a light weighted modified CNN architecture is proposed that uses eight layers particularly,three convolutional layers,three SoftMax layers,and two flattened layers,to detect wheat diseases effectively.The high-resolution images were collected from the fields in Azad Kashmir(Pakistan)and manually annotated by three human experts.The convolutional layers use 16,32,and 64 filters.Every filter uses a 3×3 kernel size.The strides for all convolutional layers are set to 1.In this research,three different variants of datasets are used.These variants S1-70%:15%:15%,S2-75%:15%:10%,and S3-80%:10%:10%(train:validation:test)are used to evaluate the performance of the proposed model.The extensive experiments revealed that the S3 performed better than S1 and S2 datasets with 93%accuracy.The experiment also concludes that a more extensive training set with high-resolution images can detect wheat diseases more accurately. | Mahmood Ashraf Mohammad Abrar Nauman Qadeer Abdulrahman A.Alshdadi Thabit Sabbah Muhammad Attique Khan | 2023 | Computers, Materials & Continua2023，，5： | 0 |
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