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| 1 | Where Pakistan Stands Among Top Rice Exporting Countries, an Analysis of Competitiveness显示文摘Under the umbrella of WTO, the reduction in trade barriers has forced the policy makers to focus on the export competitiveness. Rice is an important source for foreign exchange earnings for the economy of Pakistan, keeping in mind of this fact, the competitiveness of Pakistan's rice with other major exporters was examined by applying revealed competitive advantage. The domestic consumption trends of rice among the major rice exporting countries were also analyzed in the current study. The results revealed that as compare to other major exporters of rice in the world, Pakistan had high competitive and comparative advantage in the production of rice. The comparison of the movements in comparative advantage indices for Pakistan with the major world rice competitors/exporters showed that Pakistan possessed relatively high comparative and competitive advantages in rice production. The declining domestic per capita consumption of rice and increasing trends in competitiveness for Pakistan clearly revealed the expected potential of higher growth which meant that rice exports from Pakistan could continue to play an important role for the earnings of foreign exchange. In order to exploit the potential benefits of rice exports, we need to strengthen the competitiveness in rice sector of Pakistan. | Muhammad Abdullah Jia Li Sidra Ghazanfar Jaleel Ahmed Imran Khan Mazhir Nadeem Ishaq | 2015 | Journal of Northeast Agricultural University(English Edition)2015，22，2： | 1 |
| 2 | Factors Hindering Pakistani Farmers' Choices Towards Adoption of Crop Insurance显示文摘This study was conducted to analyze the factors that negatively influence Pakistani farmers' willingness to participate in crop insurance. Probit model was applied to identify the significant factors which influenced our dependent variable 'not willing to participate'. The results of the analyses showed that crop insurance premium was the most influencing factor which had positive and significant impact on dependent variable. Similarly dissatisfaction with crop loan insurance scheme, lacking of knowledge about crop insurance, believing of being against Islamic rules and time taking process was also found to be positive and significantly influenced the dependent variable. While limited decision power and limited perils were not found to be significant in the results. | Sidra Ghazanfar Zhang Qi-wen Muhammad Abdullah Jaleel Ahmed Imran Khan Zeeshan Ahmad | 2015 | Journal of Northeast Agricultural University(English Edition)2015，22，2： | 1 |
| 3 | Optimal Scheme Selection of Agricultural Production Structure Adjustment——Based on DEA Model; Punjab(Pakistan)显示文摘This paper used the modern evaluation method of DEA(Data Envelopment Analysis) to assess the comparative efficiency and then on the basis of this among multiple schemes chose the optimal scheme of agricultural production structure adjustment. Based on the results of DEA model, we dissected scale advantages of each discretionary scheme or plan. We examined scale advantages of each discretionary scheme, tested profoundly a definitive purpose behind not-DEA efficient, which elucidated the system and methodology to enhance these discretionary plans. At the end, another method had been proposed to rank and select the optimal scheme. The research was important to guide the practice if the modification of agricultural production industrial structure was carried on. | Zeeshan Ahmad Meng Jun Muhammad Abdullah Mazhar Nadeem Ishaq Majid Lateef Imran Khan | 2015 | Journal of Northeast Agricultural University(English Edition)2015，22，4： | 1 |
| 4 | A Survey on Routing Techniques in Underwater Wireless Sensor Net- works显示文摘 | Ayaz Muhammad Baig Imran Abdullah Azween | 2011 | Journal of Network and Computer Applications2011，34，6： | 1 |
| 5 | Traffic Management in Internet of Vehicles Using Improved Ant Colony Optimization显示文摘The Internet of Vehicles(IoV)is a networking paradigm related to the intercommunication of vehicles using a network.In a dynamic network,one of the key challenges in IoV is traffic management under increasing vehicles to avoid congestion.Therefore,optimal path selection to route traffic between the origin and destination is vital.This research proposed a realistic strategy to reduce traffic management service response time by enabling real-time content distribution in IoV systems using heterogeneous network access.Firstly,this work proposed a novel use of the Ant Colony Optimization(ACO)algorithm and formulated the path planning optimization problem as an Integer Linear Program(ILP).This integrates the future estimation metric to predict the future arrivals of the vehicles,searching the optimal routes.Considering the mobile nature of IOV,fuzzy logic is used for congestion level estimation along with the ACO to determine the optimal path.The model results indicate that the suggested scheme outperforms the existing state-of-the-art methods by identifying the shortest and most cost-effective path.Thus,this work strongly supports its use in applications having stringent Quality of Service(QoS)requirements for the vehicles. | Abida Sharif Imran Sharif Muhammad Asim Saleem Muhammad Attique Khan Majed Alhaisoni Marriam Nawaz Abdullah Alqahtani Ye Jin Kim Byoungchol Chang | 2023 | Computers, Materials & Continua2023，，6： | 1 |
| 6 | The circulation of unique reassortment strains of infectious bursal disease virus in Pakistan显示文摘Infectious bursal disease(IBD),caused by IBD virus(IBDV),is one of the most devastating and immunosuppressive diseases of the poultry and has been a constraint on the sustainable poultry production around the globe including Pakistan.While the disease is threatening the poulty industry,the nature of predominant strains of IBDV in Pakistan remained l-defined.In this study,an epidemiology survey was conducted in the main chicken-farming regions of Pakistan.The batch of Pakistan IBDVs genes simultaneously covering both VP1 and VP2 were amplified,sequenced,and analyzed.The unique segment-reassortant IBDVs(vv-A/Uniq-B),carrying segmentA from vvIBDV and segment B from one unique ancestor,were identifed as one important type of circulating strains in Pakistan.The data also discovered the characteristic molecular features of Pakistan IBDVs,which will contribute to scientific vaccine selection and effective prevention of the disease. | Altaf HUSSAIN WU Tian-tian FAN Lin-jin WANG Yu-long Farooq Khalid MUHAMMAD JIANG Nan GAO Li LI Kai GAO Yu-long LIU Chang-jun CUI Hong-yu PAN Qing ZHANG Yan-ping Asim ASLAM Khan MUTI-UR-REHMAN Muhammad Imran ARSHAD Hafiz Muhammad ABDULLAH WANG Xiao-mei QI Xiao-le | 2020 | Journal of Integrative Agriculture2020，19，7： | 1 |
| 7 | 铜纳米阵列高效电解水产氧催化剂的制备(英文)显示文摘本文报道了一种利用简单的两步牺牲模板法,在泡沫铜基底表面完成了三维氧化铜纳米晶阵列的生长.氧化铜纳米晶阵列具有良好的导电性,稳定性,在碱性溶液中有着优秀的电解水产氧催化性能.氧化铜纳米晶阵列催化水的电化学氧化只需400mV的过电势即可达到100mA/cm2的电流密度,与其它铜基电解水产氧催化剂以及贵金属IrO2相比都有着明显的优势.氧化铜纳米晶阵列在270mA/cm2左右的工作电流下连续工作10h依然可以保持良好的稳定性,是相同的工作电压下IrO2工作电流的10倍(约25mA/cm2). | 熊伟麟 Muhammad Imran Abdullah 马明明 | 2018 | Chinese Journal of Chemical Physics2018，31，6： | 0 |
| 8 | Facile sol-gel preparation of high-entropy multielemental electrocatalysts for efficient oxidation of methanol and urea显示文摘High-entropy multi-elemental(HEM)electrocatalysts present superior catalytic performance due to the efficient synergism of their components.HEM electrocatalysts are usually prepared through hydrothermal reactions or calcination,which could generate undesired heterogeneous structures that hinder the exploration of the structure–property relationship of these HEM electrocatalysts.Herein,we report a sol-gel method to synthesize homogeneous HEM electrocatalysts for electro-oxidation of methanol and urea(methanol oxidation reaction(MOR)and urea oxidation reaction(UOR)),through an acid-catalyzed gelation at room temperature.With Ni as the primary component for MOR and UOR,Co can reduce the overpotentials,while Fe can increase the catalytic activities and durability.Borate and phosphate can tune the charge distribution in active sites and speed up the reaction kinetics through fast proton transfer.Thus,the optimal Ni_(2)Fe_(0.5)Co_(0.5)-BP HEM catalyst demonstrates superior catalytic activity together with good durability and great resistance to CO poisoning.In addition,a direct methanol fuel cell with Ni_(2)Fe_(0.5)Co_(0.5)-BP electrode can not only provide power,but also produce formic acid with high yield and high Faraday efficiency.This work presents a simple strategy to prepare high-performance HEM electrocatalysts for fuel cells and production of valueadded chemicals. | Talifhani Mushiana Mustafa Khan Muhammad Imran Abdullah Ning Zhang Mingming Ma | 2022 | Nano Research2022，15，6： | 0 |
| 9 | A Neuro-Fuzzy Approach to Road Traffic Congestion Prediction显示文摘The fast-paced growth of artificial intelligence applications provides unparalleled opportunities to improve the efficiency of various systems.Such as the transportation sector faces many obstacles following the implementation and integration of different vehicular and environmental aspects worldwide.Traffic congestion is among the major issues in this regard which demands serious attention due to the rapid growth in the number of vehicles on the road.To address this overwhelming problem,in this article,a cloudbased intelligent road traffic congestion prediction model is proposed that is empowered with a hybrid Neuro-Fuzzy approach.The aim of the study is to reduce the delay in the queues,the vehicles experience at different road junctions across the city.The proposed model also intended to help the automated traffic control systems by minimizing the congestion particularly in a smart city environment where observational data is obtained from various implanted Internet of Things(IoT)sensors across the road.After due preprocessing over the cloud server,the proposed approach makes use of this data by incorporating the neuro-fuzzy engine.Consequently,it possesses a high level of accuracy by means of intelligent decision making with minimum error rate.Simulation results reveal the accuracy of the proposed model as 98.72%during the validation phase in contrast to the highest accuracies achieved by state-of-the-art techniques in the literature such as 90.6%,95.84%,97.56%and 98.03%,respectively.As far as the training phase analysis is concerned,the proposed scheme exhibits 99.214% accuracy. The proposed prediction modelis a potential contribution towards smart cities environment. | Mohammed Gollapalli Atta-ur-Rahman Dhiaa Musleh Nehad Ibrahim Muhammad Adnan Khan Sagheer Abbas Ayesha Atta Muhammad Aftab Khan Mehwash Farooqui Tahir Iqbal Mohammed Salih Ahmed Mohammed Imran BAhmed Dakheel Almoqbil Majd Nabeel Abdullah Omer | 2022 | Computers, Materials & Continua2022，，10： | 0 |
| 10 | Context Based Adoption of Ranking and Indexing Measures for Cricket Team Ranks显示文摘There is an international cricket governing body that ranks the expertise of all the cricket playing nations,known as the International Cricket Council(ICC).The ranking system followed by the ICC relies on the winnings and defeats of the teams.The model used by the ICC to implement rankings is deficient in certain key respects.It ignores key factors like winning margin and strength of the opposition.Various measures of the ranking concept are presented in this research.The proposed methods adopt the concepts of h-Index and PageRank for presenting more comprehensive ranking metrics.The proposed approaches not only rank the teams on their losing/winning stats but also take into consideration the margin of winning and the quality of the opposition.Three cricket team ranking techniques are presented i.e.,(1)Cricket Team-Index(ct-index),(2)Cricket Team Rank(CTR)and(3)Weighted Cricket Team Rank(WCTR).The proposed metrics are validated through the collection of cricket dataset,extracted from Cricinfo,having instances for all the three formats of the game i.e.,T20 International(T20i),One Day International(ODI)and Test matches.The comparative analysis between the proposed and existing techniques,for all the three formats,is presented as well. | Raja Sher Afgun Usmani Syed Muhammad Saqlain Shah Muhammad Sher Ramzan Abdullah Saad A.L-Malaise AL-Ghamdi Anwar Ghani Imran Khan Farrukh Saleem | 2020 | Computers, Materials & Continua2020，，11： | 0 |
| 11 | Roasted fox nuts (Euryale Ferox L.) contain higher concentration of phenolics, flavonoids, minerals and antioxidants, and exhibit lower Glycemic Index (GI) in human subjects显示文摘Fox nut (Euryale ferox) is categorized among superior quality foods because of its highly nutritious profile. It also serves as a good protein source for vegetarian diets. However, it is not widely consumed, due to soggy texture and bland flavor as compared to other nuts. In this study, we used roasting and seasoning to enhance its consumer acceptance. Furthermore, we have also compared biochemical, nutritional and physical properties of the roasted and unroasted fox nuts;and their Glycemic Index (GI) in human subjects. Results showed that roasting significantly (P ≤ 0.05) improved the minerals content (from 0.58 to 0.66%), protein content (from 11.40 to 14.57%), total phenolics (from 346.02 to 470.62 mg GAE/100 g), flavonoids (from 4.15 to 4.43 mg CE/g), 2,2-diphenyl-1-picrylhydrazyl (DPPH) radical scavenging activity (from 48.54 to 79.13% inhibition) and Ferric Reducing Antioxidant Power (from 662.46 to 957.14 μmol FeSO4/g). Consumer acceptance was evaluated with and without seasoning;both salt and spice seasoned roasted nuts had greater overall acceptability as compared to plain roasted and unroasted nuts. Fox nuts also reported low GI (37%) in human subjects (ethical approval #1772/01-06-2020). Thus, roasted fox nuts can be consumed as nutrient rich and low GI snack;not only as a component of healthy diet but can also be served to patients with metabolic disorders like obesity and diabetes. | Marrium Liaquat Imran Pasha Muhammad Ahsin Abdullah Salik | 2022 | Food Production, Processing and Nutrition2022，4，1： | 0 |
| 12 | Image-Based Automatic Energy Meter Reading Using Deep Learning显示文摘We propose to perform an image-based framework for electrical energy meter reading.Our aim is to extract the image region that depicts the digits and then recognize them to record the consumed units.Combining the readings of serial numbers and energy meter units,an automatic billing system using the Internet of Things and a graphical user interface is deployable in a real-time setup.However,such region extraction and character recognition become challenging due to image variations caused by several factors such as partial occlusion due to dust on the meter display,orientation and scale variations caused by camera positioning,and non-uniform illumination caused by shades.To this end,our work evaluates and compares the stateof-the art deep learning algorithm You Only Look Once(YOLO)along with traditional handcrafted features for text extraction and recognition.Our image dataset contains 10,000 images of electrical energymeters and is further expanded by data augmentation such as in-plane rotation and scaling tomake the deep learning algorithms robust to these image variations.For training and evaluation,the image dataset is annotated to produce the ground truth of all the images.Consequently,YOLO achieves superior performance over the traditional handcrafted features with an average recognition rate of 98%for all the digits.It proves to be robust against the mentioned image variations compared with the traditional handcrafted features.Our proposed method can be highly instrumental in reducing the time and effort involved in the currentmeter reading,where workers visit door to door,take images ofmeters and manually extract readings from these images. | Muhammad Imran Hafeez Anwar Muhammad Tufail Abdullah Khan Murad Khan Dzati Athiar Ramli | 2023 | Computers, Materials & Continua2023，，1： | 0 |
| 13 | Examining Mediating Role of Customer Loyalty for Influence of Brand Related Attributes on Customer Repurchase Intention显示文摘The objective of current study was to investigate the influence of brand related attributes on customer loyalty and repurchase intention in agricultural product marketing in Pakistan. Results of current study would help the management of branded agricultural products, in Pakistan specifically and in developing countries generally, to formulate the best strategies to enhance customer loyalty in order to induce repurchase intention of them. Future research could be conducted in the same field by adopting larger sample size and this research can be replicated with specific product category. | Zeeshan Ahmad Meng Jun Imran Khan Muhammad Abdullah Tauqir Ahmad Ghauri | 2016 | Journal of Northeast Agricultural University(English Edition)2016，23，2： | 0 |
| 14 | Unraveling the role of NiSnPH@OOH/CC perovskite hydroxide for efficient electrocatalytic oxidation of methanol to formate显示文摘The sluggish kinetics of oxygen evolution reaction(OER)is the key tailback for hydrogen production from the water electrolysis.Masking OER with thermodynamically auspicious methanol oxidation reaction(MOR)can significantly boost the H_(2) and value-added products production.However,it is currently challenging to achieve a synergistic manipulation of product selectivity and performance for MOR electrocatalyst.Herein,we report NiSnPH@OOH/CC(CC=carbon cloth)perovskite hydroxide nanosphere as an efficient MOR electrocatalyst with high activity,stability,and selectivity towards methanol oxidation to formate.A surface amorphous layer of defect rich NiOOH was generated in operando by selective Sn leaching with stable perovskite hydroxide bulk structure,which mitigates the oxidative power and optimizes the local coordination environment of the active NiOOH sites.In situ Raman combined with electrochemical studies further confirm the key active species,NiOOH,generated in operando enhance the MOR and blocking the over oxidation of methanol to CO_(2).As a result,NiSnPH@OOH/CC effectively masks the OER and attains>99%selectivity with 100%Faradic efficiency for methanol-to-formate.The results of this study show the advances of NiSnPH@OOH/CC as an efficient electrocatalyst for MOR and also suggest its potential applications for various small organic molecules oxidation. | Jing Shao Yusheng Fang Xiaobing Wu Muhammad Imran Abdullah Youkun Tao | 2024 | Nano Research2024，17，4： | 0 |
| 15 | Aspect-Based Sentiment Analysis for Social Multimedia:A Hybrid Computational Framework显示文摘People utilize microblogs and other social media platforms to express their thoughts and feelings regarding current events,public products and the latest affairs.People share their thoughts and feelings about various topics,including products,news,blogs,etc.In user reviews and tweets,sentiment analysis is used to discover opinions and feelings.Sentiment polarity is a term used to describe how sentiment is represented.Positive,neutral and negative are all examples of it.This area is still in its infancy and needs several critical upgrades.Slang and hidden emotions can detract from the accuracy of traditional techniques.Existing methods only evaluate the polarity strength of the sentiment words when dividing them into positive and negative categories.Some existing strategies are domain-specific.The proposed model incorporates aspect extraction,association rule mining and the deep learning technique Bidirectional EncoderRepresentations from Transformers(BERT).Aspects are extracted using Part of Speech Tagger and association rulemining is used to associate aspects with opinion words.Later,classification was performed using BER.The proposed approach attained an average of 89.45%accuracy,88.45%precision and 85.98%recall on different datasets of products and Twitter.The results showed that the proposed technique achieved better than state-of-the-art sentiment analysis techniques. | Muhammad Rizwan Rashid Rana Saif Ur Rehman Asif Nawaz Tariq Ali Azhar Imran Abdulkareem Alzahrani Abdullah Almuhaimeed | 2023 | Computer Systems Science & Engineering2023，46，8： | 0 |
| 16 | SDN-Enabled Content Dissemination Scheme for the Internet of Vehicles显示文摘The content-centric networking(CCN)architecture allows access to the content through name,instead of the physical location where the content is stored,which makes it a more robust and flexible content-based architecture.Nevertheless,in CCN,the broadcast nature of vehicles on the Internet of Vehicles(IoV)results in latency and network congestion.The IoVbased content distribution is an emerging concept in which all the vehicles are connected via the internet.Due to the high mobility of vehicles,however,IoV applications have different network requirements that differ from those of many other networks,posing new challenges.Considering this,a novel strategy mediator framework is presented in this paper for managing the network resources efficiently.Software-defined network(SDN)controller is deployed for improving the routing flexibility and facilitating in the interinteroperability of heterogeneous devices within the network.Due to the limited memory of edge devices,the delectable bloom filters are used for caching and storage.Finally,the proposed scheme is compared with the existing variants for validating its effectiveness. | Abida Sharif Muhammad Imran Sharif Muhammad Attique Khan Nisar Ali Abdullah Alqahtani Majed Alhaisoni Ye Jin Kim Byoungchol Chang | 2023 | Computers, Materials & Continua2023，，5： | 0 |
| 17 | Deep Learning Approach for Automatic Cardiovascular Disease Prediction Employing ECG Signals显示文摘Cardiovascular problems have become the predominant cause of death worldwide and a rise in the number of patients has been observed lately.Currently,electrocardiogram(ECG)data is analyzed by medical experts to determine the cardiac abnormality,which is time-consuming.In addition,the diagnosis requires experienced medical experts and is error-prone.However,automated identification of cardiovascular disease using ECGs is a challenging problem and state-of-the-art performance has been attained by complex deep learning architectures.This study proposes a simple multilayer perceptron(MLP)model for heart disease prediction to reduce computational complexity.ECG dataset containing averaged signals with window size 10 is used as an input.Several competing deep learning and machine learning models are used for comparison.K-fold cross-validation is used to validate the results.Experimental outcomes reveal that the MLP-based architecture can produce better outcomes than existing approaches with a 94.40%accuracy score.The findings of this study show that the proposed system achieves high performance indicating that it has the potential for deployment in a real-world,practical medical environment. | Muhammad Tayyeb Muhammad Umer Khaled Alnowaiser Saima Sadiq Ala’Abdulmajid Eshmawi Rizwan Majeed Abdullah Mohamed Houbing Song Imran Ashraf | 2023 | Computer Modeling in Engineering & Sciences2023，，11： | 0 |
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