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| 1 | Development of image-based wheat spike counter through a Faster R-CNN algorithm and application for genetic studies显示文摘Spike number(SN) per unit area is one of the major determinants of grain yield in wheat. Development of high-throughput techniques to count SN from large populations enables rapid and cost-effective selection and facilitates genetic studies. In the present study, we used a deep-learning algorithm, i.e., Faster Region-based Convolutional Neural Networks(Faster R-CNN) on Red-Green-Blue(RGB) images to explore the possibility of image-based detection of SN and its application to identify the loci underlying SN. A doubled haploid population of 101 lines derived from the Yangmai 16/Zhongmai 895 cross was grown at two sites for SN phenotyping and genotyped using the high-density wheat 660 K SNP array.Analysis of manual spike number(MSN) in the field, image-based spike number(ISN), and verification of spike number(VSN) by Faster R-CNN revealed significant variation(P < 0.001) among genotypes, with high heritability ranged from 0.71 to 0.96. The coefficients of determination(R^(2)) between ISN and VSN was 0.83, which was higher than that between ISN and MSN(R^(2)= 0.51), and between VSN and MSN(R^(2)= 0.50). Results showed that VSN data can effectively predict wheat spikes with an average accuracy of 86.7% when validated using MSN data. Three QTL Qsnyz.caas-4 DS, Qsnyz.caas-7 DS, and QSnyz.caas-7 DL were identified based on MSN, ISN and VSN data, while QSnyz.caas-7 DS was detected in all the three data sets. These results indicate that using Faster R-CNN model for image-based identification of SN per unit area is a precise and rapid phenotyping method, which can be used for genetic studies of SN in wheat. | Lei Li Muhammad Adeel Hassan Shurong Yang Furong Jing Mengjiao Yang Awais Rasheed Jiankang Wang Xianchun Xia Zhonghu He Yonggui Xiao | 2022 | The Crop Journal2022，10，5： | 5 |
| 2 | Particle size dependent sinterability and magnetic properties of recycled HDDR Nd-Fe-B powders consolidated with spark plasma sintering显示文摘The dependence of the magnetic properties on the particle size of recycled HDDR Nd-Fe-B powders was investigated,with the aim to assess the reprocessing potential of the end-of-life scrap magnets via spark plasma sintering(SPS).The as received recycled HDDR powder has coercivity(Hci)=830 kA/m and particles in the range from 30 to 700 μm(average 220 μm).After burr milling,the average particle size is reduced to 120 μm and subsequently the Hci of fine(milled) powder was 595 kA/m.Spark plasma sintering was exploited to consolidate the nanograined HDDR powders and limit the abnormal grain coarsening.The optimal SPS-ing of coarse HDDR powder at 750℃for 1 min produces fully dense magnets with Hci=950±100 kA/m which further increases to 1200 kA/m via thermal treatment at 750℃for 15 min.The burr milled fine HDDR powder under similar SPS conditions and after thermal treatment results in Hci=940 kA/m.The fine powder is further sieved down from 630 to less than 50 μm mesh size,to evaluate the possible reduction in Hci in relation to the particle size.The gain in oxygen content doubles for <50 μm sized particles as compared with coarser fractions(>200 μm).The XRD analysis for fractionated powder indicates an increase in Nd2O3 phase peaks in the finer(<100 μm)fractions.Similarly,the Hci reduces from 820 kA/m in the coarse particles(>200 μm) to 460 kA/m in the fine sized particles(<100μm).SPS was done on each HDDR powder fraction under the optimal conditions to measure the variation in Hci and density.The Hci of SPS-ed coarse fraction(>200 μm) is higher than 930 kA/m and it falls abruptly to just 70 kA/m for the fine sized particles(<100 μm).The thermal treatment further improves the Hci to>1000 kA/m only up to 100 μm sized fractions with>90% sintered density.The full densification(>99%) is observed only in the coarse fractions.The loss of coercivity and lack of sinterability in the fine sized particles(<100 μm) are attributed to a very high oxygen content.This implies that during recycling,if good magnetic properties are to be maintained or even increase the HDDR powder particles can be sized down only up to≥100 μm. | Awais Ikram Farhan Mehmood Richard Stuart Sheridan Muhammad Awais Allan Walton Anas Eldosouky Saso Sturm Spomenka Kobe Kristina Zuzek Rozman | 2020 | Journal of Rare Earths2020，38，1： | 5 |
| 3 | DNNGP, a deep neural network-based method for genomic prediction using multi-omics data in plants显示文摘Genomic prediction is an effective way to accelerate the rate of agronomic trait improvement in plants.Traditional methods typically use linear regression models with clear assumptions;such methods are unable to capture the complex relationships between genotypes and phenotypes.Non-linear models(e.g.,deep neural networks)have been proposed as a superior alternative to linear models because they can capture complex non-additive effects.Here we introduce a deep learning(DL)method,deep neural network genomic prediction(DNNGP),for integration of multi-omics data in plants.We trained DNNGP on four datasets and compared its performance with methods built with five classic models:genomic best linear unbiased prediction(GBLUP);two methods based on a machine learning(ML)framework,light gradient boosting machine(LightGBM)and support vector regression(SVR);and two methods based on a DL framework,deep learning genomic selection(DeepGS)and deep learning genome-wide association study(DLGWAS).DNNGP is novel in five ways.First,it can be applied to a variety of omics data to predict phenotypes.Second,the multilayered hierarchical structure of DNNGP dynamically learns features from raw data,avoiding overfitting and improving the convergence rate using a batch normalization layer and early stopping and rectified linear activation(rectified linear unit)functions.Third,when small datasets were used,DNNGP produced results that are competitive with results from the other five methods,showing greater prediction accuracy than the other methods when large-scale breeding data were used.Fourth,the computation time required by DNNGP was comparable with that of commonly used methods,up to 10 times faster than DeepGS.Fifth,hyperparameters can easily be batch tuned on a local machine.Compared with GBLUP,LightGBM,SVR,DeepGS and DLGWAS,DNNGP is superior to these existing widely used genomic selection(GS)methods.Moreover,DNNGP can generate robust assessments from diverse datasets,including omics data,and quickly incorporate complex and large datasets into usable models,making it a promising and practical approach for straightforward integration into existing GS platforms. | Kelin Wang Muhammad Ali Abid Awais Rasheed Jose Crossa Sarah Hearne Huihui Li | 2023 | Molecular Plant2023，16，1： | 3 |
| 4 | Cloud authorization: exploring techniques and approach towards effective access control framework显示文摘 | Rahat MASOOD Muhammad Awais SHIBLI Yumna GHAZI Ayesha KANWAL Arshad ALI | 2015 | Frontiers of Computer Science2015，9，2： | 3 |
| 5 | Reactive Oxygen Species Induced by Bile Acid Induce Apoptosis and Protect Against Necrosis in Pancreatic Acinar Cells显示文摘 | David M. Booth John A. Murphy Rajarshi Mukherjee Muhammad Awais John P. Neoptolemos Oleg V. Gerasimenko Alexei V. Tepikin Ole H. Petersen Robert Sutton David N. Criddle | 2011 | Gastroenterology2011，，7： | 2 |
| 6 | Transmit Power Optimization for Relay-Aided Multi-Carrier D2D Communication显示文摘In this paper,we consider the power optimization problem in Orthogonal Frequency Division Multiplexing(OFDM)-based relay-enhanced device-to-device(D2D) communication.In a single cell transmission scenario,dualhop communication is assumed in which each D2D user re-uses the spectrum of just one Cellular User(CU).In this work,we formulate a joint optimization scheme under a Decode-and-Forward(DF) relaying protocol to maximize the sum throughput of D2D and cellular networks via power allocation over different sub-carriers.The problem is thus transformed into a standard convex optimization,subject to individual power constraints at different transmitting nodes.We exploit the duality theory to decompose the problem into several sub-problems and use Karush–Kuhn–Tucker(KKT) conditions to solve each sub-problem.We provide simulation results to validate the performance of our proposed scheme. | Muhammad Waqas Guftaar Ahmad Sardar Sidhu Tayyaba Jabeen Muhammad Afaq Ahmad Muhammad Awais Javed | 2018 | Tsinghua Science and Technology2018，23，1： | 2 |
| 7 | Efficient UAV Communications: Recent Trends and Challenges显示文摘Unmanned Ariel Vehicles(UAVs)are flying objects whose trajectory can be remotely controlled.UAVs have lot of potential applications in the areas of wireless communications,internet of things,security,traffic management,monitoring,and smart surveying.By enabling reliable communication between UAVs and ground nodes,emergency notifications can be efficiently and quickly disseminated to a wider area.UAVs can gather data from remote areas,industrial units,and emergency scenarios without human involvement.UAVs can support ubiquitous connectivity,green communications,and intelligent wireless resource management.To efficiently use UAVs for all these applications,important challenges need to be investigated.In this paper,we first present a detailed classification of UAVs based on factors such as their size,communication range,weight,and flight altitude.We also explain the hardware system configuration and uses of these UAVs.We present a brief overview of recent work done related to three major challenges in UAVs.These challenges include trajectory control,energy efficiency and resource allocation.We also present three open challenges and future opportunities for efficient UAV communications.These include use of learning algorithms for resource allocation and energy efficiency in UAVs,intelligent surfaces-based communications for enhanced reliability in UAVs,and security algorithms to combat malicious attacks against UAVs. | Abdulfattah Noorwali Muhammad Awais Javed Mohammad Zubair Khan | 2021 | Computers, Materials & Continua2021，，4： | 2 |
| 8 | Plastic Work Ap-proach for Surface Defect Prediction in the Hot Bar Rolling Pro-cess显示文摘 | Muhammad Awais Lee H W Im Y T | 2008 | Journal of Materials Processing Technology2008，201，13： | 1 |
| 9 | Using IoT Innovation and Efficiency in Agriculture Monitoring System显示文摘Agriculture is undoubtedly a leading field for livelihoods in China.As the population increases,it is necessary to increase agricultural productivity.By capturing the support and the increment in production on farms,the need for freshwater used for irrigation increases too.Presently,agriculture accounts for 80% of overall water uptake in China.Unexpected overflow of water carelessly leads to waste of water.Therefore we created a programmed plant irrigation system with Arduino that mechanically supplies water to the plants and keeps it updated by transferring the message to user.Plant irrigation system employs the soil moisture sensor which controls a degree of moisture in the soil.If the humidity degree is lower,Arduino activates a pump of water to supply water to the system.The pump of water stops by design when the organism detects sufficient moisture in the ground.Each time the system is switched off or on,an electronic messaging is conveyed to the end-user through the IoT unit,informing the position of the soil moisture and the pump of water.A spray motor and the pump of water are grounded on the crane concept.Widely,this system is applicable for in small fields,gardens farms,etc.This design is entirely programmed and needed no human involvement.Furthermore,transmission of the sensor readings send through a Thing speak frequency to produce graphic elements for better inquiry.This study gathers the ideas of IoT(Internet of Things)with some engineering tools like machinery,artificial intelligence and use of sensors in an efficient way to respond current needs and extraction of resources by availing scientific methods and procedures that work on inputs.Moreover,this study further defines the engineering works that have been part of this field,but it requires more efficiency and reduction of energy as well as costs by adding more contribution of IoT in the field of agriculture engineering. | Muhammad Awais Wei Li Muhammad Ajmal Muhammad Faheem | 2020 | Journal of Botanical Research2020，2，2： | 1 |
| 10 | Evaluation of management of tibial non - union defect with ilizarov fixator 显示文摘 | Farmanullah Muhammad Shoaib Khan Syed Muhammad Awais | 2007 | Ayub Med Coil Abbottabad2007，19，3： | 1 |
| 11 | 双金属镍-锰/γ-Al2O3催化剂对甲烷二氧化碳重整反应的影响显示文摘用浸渍法制备γ-Al2O3负载的Ni-Mn双金属催化剂.在500-700。C按照17:17:2的C02/CHa/N2比例,以36mL/min的载气流速进行甲烷二氧化碳重整反应,利用甲烷二氧化碳的转化率、生成的合成气H2/CO比例以及长期稳定性等指标评价了催化剂的催化性能.实验表明,添加Mn提高催化性能并使双金属催化剂的稳定性更高,比单金属催化剂更好地抑制焦炭生成,Mn最合适的添加量为0.5wt%.通过BET、C02-TPD、TGA、XRD、SEM、EDX和FTIR各种技术对催化剂进行了表征. | Anis Hamza Fakeeha Muhammad Awais Naeem Wasim Ullah Khan Ahmed Elhag Abasaeed Ahmed Sadeq Al-Fatesh | 2014 | Chinese Journal of Chemical Physics2014，27，2： | 1 |
| 12 | Dynamic Response and Deformation Behavior of Kadui-2 Landslide Influenced by Reservoir Impoundment and Rainfall,Baoxing,China显示文摘This study focuses on the deformation characteristics of Kadui-2 Landslide by the influence of reservoir filling-drawdown and precipitation.A three-year monitoring project was implemented in order to observe the short/long-term deformation.The slide mass experienced consistent deformation with a maximum cumulative displacement of 331.34 cm.Based on the recorded data of reservoir water level and precipitation during this period,a two-dimensional(2-D)finite element model using Geostudio software was set up for deformation simulation under different conditions to understand the real influence of these triggering factors on landslide.The numerical simulation results are in consistent with monitoring field data.Both numerical simulation and field monitoring results exhibit that the maximum deformation occurred at the foreside of slumping mass.The slip surface shows significant creep characteristics decreasing as long-term shear strength reducing gradually.Reservoir water level fluctuation is the primary triggering factor to reactivate the landslide mass and has a negative correlation with deformation rate.Displacement rate increases with the reservoir drawdown and decreases with impoundment rise.Compared with reservoir filling-drawdown operation,rainfall has no significant effect on the slide motion of landslide due to limited penetration from the ground surface. | Muhammad Kamran Xiewen Hu Muhammad Awais Hussain Muhammad Sanaullah Randa Ali Kun He | 2023 | Journal of Earth Science2023，34，3： | 1 |
| 13 | A Novel Compact Highly Isolated UWB MIMO Antenna with WLAN Notch显示文摘This paper presents a compact Multiple Input Multiple Output(MIMO)antenna with WLAN band notch for Ultra-Wideband(UWB)applications.The antenna is designed on 0.8mmthick low-cost FR-4 substrate having a compact size of 22mm×30 mm.The proposed antenna comprises of two monopole patches on the top layer of substrate while having a shared ground on its bottom layer.The mutual coupling between adjacent patches has been reduced by using a novel stub with shared ground structure.The stub consists of complementary rectangular slots that disturb the surface current direction and thus result in reducing mutual coupling between two ports.A slot is etched in the radiating patch for WLAN band notch.The slot is used to suppress frequencies ranging from 5.1 to 5.9 GHz.The results show that the proposed antenna has a very good impedance bandwidth of|S11|<−10 dB within the frequency band from 3.1–14 GHz.A low mutual coupling of less than−23 dB is achieved within the entire UWB band.Furthermore,the antenna has a peak gain of 5.8 dB,low ECC<0.002 and high Diversity Gain(DG>9.98). | Muhammad Awais Shahid Bashir Awais Khan Muhammad Asif Nasim Ullah Hend I.Alkhammash | 2023 | Computers, Materials & Continua2023，，4： | 1 |
| 14 | 2D Carbon Fiber Reinforced High Density Polyethylene Multi-Layered Laminated Composite Panels:Structural,Mechanical,Thermal,and Morphological Profile显示文摘Carbon fiber reinforced high density polyethylene multi-layered laminated composite panels(HDPE/CF MLCP) with excellent in-plane properties along transverse direction have been formulated. Composite architectures with carbon fiber(CF) designed in 2D layout in conventional composites can alleviate their properties in thickness direction, but all attempts so far developed have achieved restrained success. Here,we have exposed an approach to the high strength composite challenge, without altering the 2D stack design on the basis of concept of fiber reinforced laminated composites that would provide enhanced mechanical and thermal properties along transverse direction. CF sheets allowed the buckling of adjoining plies in 2D MLCP. We fabricated 2D MLCP by stacking the alternative CF and HDPE layers under different loading conditions, which resulted in high strength composites. These plies of CF and HDPE served as unit cells for MLCP, with CF offering much-needed fracture toughness and hardness to these materials.For 2D HDPE/CF MLCP, we demonstrated noteworthy improvement in physical and chemical interaction between CF and HDPE, in-plane fracture strain, flexural strength(30.684 MPa), bending modulus(7436.254 MPa), thermal stability(40.94%), and surface morphology, upon increasing the CF layers up to twenty, enabling these composites truly for high temperature and high strength applications. | Shahzad Maqsood Khan Nafisa Gull Muhammad Azeem Munawar Atif Islam Saba Zia Muhammad Shafiq Aneela Sabir Syed Muhammad Awais Muhammad Arif Butt Muhammad Taqi Zahid Butt Tahir Jamil | 2016 | Journal of Materials Science & Technology2016，32，10： | 1 |
| 15 | Immunostimulatory and protective effects of Aloe vera against coccidiosis in industrial broiler chickens显示文摘 | Masood Akhtar Abdul Hai Mian Muhammad Awais Zafar Iqbal Faqir Muhammad Ahsan ul Haq Muhammad Irfan Anwar | 2011 | Veterinary Parasitology . 2011 (3-4)2011，，3： | 1 |
| 16 | Immunostimulatory and protective effects of Aloe vera against coc-cidiosis in industrial broiler chickens显示文摘 | Masood Akhtar Abdul Hai Mian Muhammad Awais Zafar Iqbal Faqir Muhammad Ahsan ul Haq Muhammad lrfan Anwar | 2012 | Veterinary Parasitology Volume 186 Issues 3-4 25 May 20122012，，： | 1 |
| 17 | Weapons Detection for Security and Video Surveillance Using CNN and YOLO-V5s显示文摘In recent years,the number of Gun-related incidents has crossed over 250,000 per year and over 85%of the existing 1 billion firearms are in civilian hands,manual monitoring has not proven effective in detecting firearms.which is why an automated weapon detection system is needed.Various automated convolutional neural networks(CNN)weapon detection systems have been proposed in the past to generate good results.However,These techniques have high computation overhead and are slow to provide real-time detection which is essential for the weapon detection system.These models have a high rate of false negatives because they often fail to detect the guns due to the low quality and visibility issues of surveillance videos.This research work aims to minimize the rate of false negatives and false positives in weapon detection while keeping the speed of detection as a key parameter.The proposed framework is based on You Only Look Once(YOLO)and Area of Interest(AOI).Initially,themodels take pre-processed frames where the background is removed by the use of the Gaussian blur algorithm.The proposed architecture will be assessed through various performance parameters such as False Negative,False Positive,precision,recall rate,and F1 score.The results of this research work make it clear that due to YOLO-v5s high recall rate and speed of detection are achieved.Speed reached 0.010 s per frame compared to the 0.17 s of the Faster R-CNN.It is promising to be used in the field of security and weapon detection. | Abdul Hanan Ashraf Muhammad Imran Abdulrahman M.Qahtani Abdulmajeed Alsufyani Omar Almutiry Awais Mahmood Muhammad Attique Mohamed Habib | 2022 | Computers, Materials & Continua2022，，2： | 1 |
| 18 | Recent progress in flexible Zn-ion hybrid supercapacitors: Fundamentals, fabrication designs, and applications显示文摘One of the most exciting new developments in energy storage technology is flexible Zn-ion hybrid supercapacitors(f-ZIHSCs),which combine the high energy of Zn-ion batteries with high-power supercapacitors to satisfy the needs of portable flexible electronics.However,the development of f-ZHSCs is still in its infancy,and there are numerous barriers to overcome before they can be widely implemented for practical applications.This review gives an up-to-date description of recent achievements and underlying concepts in energy storage mechanisms of f-ZIHSCs and emphasizes the critical role of cathode,anode,and electrolyte materials systems in speeding the prosperity of f-ZIHSCs.The innovative nanostructured-based cathode materials for f-ZIHSCs include carbon(e.g.,porous carbon,heteroatom-doped carbon,biomass-derived porous carbon,graphene,etc.),metal-oxides,MXenes,and metal/covalentorganic frameworks,and other materials(e.g.,activated carbon,phosphorene,etc.)are mainly focused.Afterward,the latest developments in flexible anode and electrolyte frameworks and impacts of electrolyte compositions on the electrochemical properties of f-ZIHSC are elaborated.Subsequently,the advancements based on fabrication designs,including quasi-solid-state,micro,fiber-shaped,and all climate-changed f-ZIHSCs,are discussed in detail.Lastly,a summary of current challenges and recommendations for the future progress of advanced f-ZIHSC are addressed.This review article is anticipated to further understand the viable strategies and achievable approaches for assembling high-performance f-ZIHSCs and boost the technical revolutions on cathode,anode,and electrolytes for f-ZIHSC devices. | Muhammad Sufyan Javed Sumreen Asim Tayyaba Najam Muhammad Khalid Iftikhar Hussain Awais Ahmad Mohammed A.Assiri Weihua Han | 2023 | Carbon Energy2023，5，1： | 1 |
| 19 | Reactive Oxygen Species Induced by Bile Acid Induce Apoptosis and Protect Against Necrosis in Pancreatic Acinar Cells显示文摘 | David M. Booth John A. Murphy Rajarshi Mukherjee Muhammad Awais John P. Neoptolemos Oleg V. Gerasimenko Alexei V. Tepikin Ole H. Petersen Robert Sutton David N. Criddle | 2011 | Gastroenterology2011，，7： | 1 |
| 20 | Simple Approach on Intermixing Solar and Wind Energy and Minimizing Their Intermittent Effect显示文摘Renewable energy resources especially wind and solar energy are emerging as the modern power sources to electrify remote areas. The main reason behind their emergence is due to their environment-friendly behavior,unlimited availability and short period for replenishment over nonrenewable energy resources. Renewable energy resources are much better than nonrenewable energy resources, but the intermittency in renewable energy resources degrades the system performance. In order to overcome the intermittency, multiple hybrid system techniques were proposed in literature that can achieve suitable results but have disadvantages of complicated control structures and high implementation cost. Considering aforementioned shortcomings, a simple balancing approach is proposed to intermix solar and wind energy together so as to utilize the available energy from both sources at a given time.It is very common that solar farms are the dominating source of energy in daytime and summer, while wind farms are the dominating source of energy at night and in winter. The proposed approach delivers maximum possible power to the load by combining dominating and non-dominating resources all the time, hence mitigating the intermittency of individual resources. Compared with other approaches, the proposed approach offers key benefits with redundancy, simple design and low cost, which can be analyzed from simulation results. | KARNI Awais 罗利文 MUMTAZ Muhammad Adnan ZAKI Atta ul Munim | 2019 | Journal of Shanghai Jiaotong university(Science)2019，24，1： | 1 |
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