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| 1 | A survey on trust based detection and isolation of malicious nodes in ad-hoc and sensor networks显示文摘 | Adnan AHMED Kamalrulnizam ABU BAKAR Muhammad Ibrahim CHANNA Khalid HASEEB Abdul Waheed KHAN | 2015 | Frontiers of Computer Science2015，9，2： | 15 |
| 2 | Effects of copper and zirconium contents on microstructure and magnetic properties of Sm(Co,Fe,Cu,Zr)_(z)magnets with high iron content显示文摘The evolution of the microstructure,microchemistry and magnetic properties of the Sm(CobalFe_(0.28)-CuyZrx)_(7.6)magnets with different Zr and Cu contents was investigated.It is found that the coercivity of the Sm(Co,Fe,Cu,Zr)_(z)magnets is sensitive to Zr content.The deficiency of Zr content causes heterogeneity of Cu and Fe distributions,while an excessive Zr content leads to the formation of a SmCoZr impurity phase.The cellular structure and distribution of Cu concentration.gradient between the cell boundary phase and cell pha se are destroyed by inappropriate Zr content,which results in a reduction of coercivity.The Cu concentration difference between the cell boundary phase and cell phase increases with increasing Cu content.The coercivity of the Sm(CobalFe_(0.28)CuyZ_(r0.02))_(7.6)magnets increases from 10.4 to 25.4 kOe for y=0.05 and y=0.07.However,the excess of Cu element destroys the cell boundary phase and enlarges the cell size,resulting in a significant decrease of squareness and energy density.The optimum performance(remanence of 11.4 kG,coercivity of 25.4 kOe,maximum magnetic ene rgy product of 30.4 MGOe)was obtained for the Sm(Co_(0.63)Fe_(0.28)Cu_(0.07)Zr_(0.02))_(7.6)magnet. | Zhifeng Shang Dongtao Zhang Zhihong Xie Yunqiao Wang Muhammad Haseeb Pengbiao Qiao Weiqiang Liu Ming Yue | 2021 | Journal of Rare Earths2021，39，2： | 7 |
| 3 | 裂缝性油藏压裂井产能敏感因素评价方法研究显示文摘运用BP人工神经网络原理,以累计产量为目标值,提出了一种压裂井产能评价的新方法。以X区块裂缝性致密砂岩油藏为例,建立了油井压裂后产能敏感因素评价模型,通过对微小扰动引起的训练误差的研究,分析了产能对孔渗参数、裂缝参数、施工参数等因素的敏感程度,并提出了针对性的增产措施。研究表明:X区块油井产能对压裂施工参数更为敏感,施工加砂困难与裂缝纵向穿透率低是制约压裂改造效果的主要原因,长水平段水平井有利于油层的综合开发。新评价方法对优化油藏压裂施工参数和改善油井生产能力提供了一定的理论依据。 | 刘欣佳 温庆志 张遂安 宋丽娜 Muhammad Haseeb | 2017 | 特种油气藏2017，24，5： | 3 |
| 4 | Factors influencing hybrid maize farmers' risk attitudes and their perceptions in Punjab Province,Pakistan显示文摘Hybrid maize farmers have to face diverse kinds of climate, biological, price and financial risks. Farmers' risk perceptions and risk attitudes are essential elements influencing farm operations and management decisions. However, this important issue has been overlooked in the contemporary studies and therefore there is a dearth of literature on this important issue. The present research is therefore, an attempt to fill this gap. This study aims to quantify hybrid maize farmers' perceptions of disastrous risks, their attitudes towards risk and to explore the impacts of various farm and farm household factors on farmers' risk attitudes and risk perceptions. The present study is conducted in four hybrid maize growing districts of Punjab Province, Pakistan, using cross-sectional data of 400 hybrid maize farmers. Risk matrix and equally likely certainty equivalent(ELCE) method are used to rank farmers' perceptions of four catastrophic risk sources including climate, biological, price and financial risks and to investigate farmers' risk aversion attitudes, respectively. Furthermore, probit regression is used to analyze the determinants affecting farmers' risk attitudes and risk perceptions. The results of the study showed that majority of farmers are risk averse in nature and perceive price, biological and climate to be potential sources of risks to their farm enterprise. In addition, analysis divulges that distance from farm to main market, off-farm income, location dummies for Sahiwal and Okara, age, maize farming experience, access to extension agent, significantly(either negatively or positively) influence farmers' risk attitudes and risk perceptions. The study delivers valuable insights for farmers, agricultural insurance sector, extension services researchers and agricultural policy makers about the local understanding of risks to hybrid maize crop in developing countries, like Pakistan, and have implications for research on farmers' adaptation to exposed risks. | Shoaib Akhtar LI Gu-cheng Raza Ullah Adnan Nazir Muhammad Amjed Iqbal Muhammad Haseeb Raza Nadeem Iqbal Muhammad Faisal | 2018 | Journal of Integrative Agriculture2018，17，6： | 3 |
| 5 | Maize production under risk:The simultaneous adoption of off-farm income diversification and agricultural credit to manage risk显示文摘Farmers in Pakistan continue to produce maize under various types of risks and adopt several strategies to manage those risks. This study is the first attempt to investigate the factors affecting the concurrent adoption of off-farm income diversification and agricultural credit which the farmers use to manage the risk to maize production. We apply bivariate and multinomial probit approaches to the primary data collected from four districts of Punjab Province in Pakistan. The results show that strong correlations exist between the off-farm diversification and agricultural credit which indicates that the use of one risk management strategy leads to another. The findings demonstrate that education, livestock number, maize farming experience, perceptions of biological risks and risk-averse nature of the growers significantly encourage the adoption of diversification as a risk management tool while farm size inversely affects the adoption of diversification. Similarly, in the adoption equation of credit, maize farming experience, farm size, perceptions of price and biological risks and risk attitude of farmers significantly enhance the chances of adopting agricultural credit to manage farm risks. These findings are important for the relevant stakeholders who seek to offer carefully designed risk minimizing options to the maize farmers. | Shoaib Akhtar LI Gu-cheng Adnan Nazir Amar Razzaq Raza Ullah Muhammad Faisal Muhammad Asad Ur Rehman Naseer Muhammad Haseeb Raza | 2019 | Journal of Integrative Agriculture2019，18，2： | 2 |
| 6 | Morpho-Anatomical Changes in Roots of Chickpea (Cicer arietinum L.) under Drought Stress Condition显示文摘 | Nayab Saeed Nazimah Maqbool Muhammad Haseeb Rumana Sadiq | 2016 | Journal of Agricultural Science and Technology(B)2016，6，1： | 1 |
| 7 | ComRank: Joint Weight Technique for the Identification of Influential Communities显示文摘Recently, the community analysis has seen enormous research advancements in the field of social networks. A large amount of the current studies put forward different models and algorithms about most influential people. However, there is little work to shed light on how to rank communities while considering their levels that are determined by the quality of their published contents. In this paper, we propose solution for measuring the influence of communities and ranking them by considering joint weight composed of internal and external influence of communities. To address this issue, we design a novel algorithm called Com Rank: a modification of Page Rank, which considers the joint weight in order to identify impact of each community and ranking them. We use real-world data trace in citation network and perform extensive experiments to evaluate our proposed algorithm. The comparative results depict significant improvements by our algorithm in community ranking due to the inclusion of proposed weighting feature. | Muhammad Azam Zia Zhongbao Zhang Ximing Li Haseeb Ahmad Sen Su | 2017 | China Communications2017，14，4： | 1 |
| 8 | 预烧温度及Ca含量对La-Ca-Co系铁氧体磁粉结构及磁性能的影响显示文摘采用常规的陶瓷工艺制备了La_(0.572)Ca_(x)Sr_((0.658-x))Co_(0.356)Fe_(12.4)O_(19)(x=0.1,0.2,0.3,0.4,0.5,0.6,0.658)磁粉,研究了预烧温度和Ca元素含量对磁粉晶体结构、显微组织和磁性能的研究。研究表明,在1190~1230℃的温度下预烧,磁粉均可形成具有典型M型六角晶系SrM铁氧体晶体结构的单一相结构。其中,在1220℃预烧的磁粉具有最佳磁性能。Ca^(2+)取代Sr^(2+)导致M相的晶胞体积缩小,但是相结构稳定不变,随着Ca含量的升高,磁粉的饱和磁化强度出现了先升高后降低的变化规律,当x=0.5时M_(s)=59.30 emu/g,磁粉的矫顽力则变化不大。显微组织观察发现,磁粉颗粒主要呈现为等轴状,平均粒径为0.7μm。 | 孙伟强 Muhammad Haseeb 耿赵文 刘荣明 刘卫强 岳明 | 2022 | 金属功能材料2022，29，1： | 1 |
| 9 | An Intelligent Graph Edit Distance-Based Approach for Finding Business Process Similarities显示文摘There are numerous application areas of computing similarity between process models.It includes finding similar models from a repository,controlling redundancy of process models,and finding corresponding activities between a pair of process models.The similarity between two process models is computed based on their similarity between labels,structures,and execution behaviors.Several attempts have been made to develop similarity techniques between activity labels,as well as their execution behavior.However,a notable problem with the process model similarity is that two process models can also be similar if there is a structural variation between them.However,neither a benchmark dataset exists for the structural similarity between process models nor there exist an effective technique to compute structural similarity.To that end,we have developed a large collection of process models in which structural changes are handcrafted while preserving the semantics of the models.Furthermore,we have used a machine learning-based approach to compute the similarity between a pair of process models having structural and label differences.Finally,we have evaluated the proposed approach using our generated collection of process models. | Abid Sohail Ammar Haseeb Mobashar Rehman Dhanapal Durai Dominic Muhammad Arif Butt | 2021 | Computers, Materials & Continua2021，，12： | 1 |
| 10 | Plating the radial shaft on the lateral surface: An outcome study显示文摘Purpose:Plate fixation is the gold standard for the treatment of displaced forearm shaft fractures in adults. Conventionally radial shaft fractures will be plated either on the volar surface or on the dorsal surface depending on which approach has been chosen. The lateral surface of the radius provides an even and uniformly curved area for placing a plate. It has the advantage of restoring and easy assessing the radial bow after surgery. We designed a prospective study to observe the outcome of lateral plating of radius shaft fractures.Methods:Nineteen patients were included in this study performed in Government Medical College, Jammu, India. Among them, 13 had fractures of both the forearm bones and 6 had isolated radial shaft fracture. Three patients had Galeazzi fracture dislocation. Fixation was done within 36 h of injury in all using 3.5 mm limited contact dynamic compression plate or locking compression plate applied to the lateral surface of the radius. Ulna was fixed in routine manner.Results:Union was achieved in 18 out of 19 patients, after a mean time of 17.44 weeks. According to Anderson et al.'s criteria, 12 patients had excellent results, 5 had satisfactory and 1 had unsatisfactory result. There was one failure (nonunion).Conclusion:The outcomes including rate of union were comparable to those in the existing literature. Plating the radial shaft on the lateral surface is a viable alternative to volar or dorsal plating of the radius. Larger studies with randomized data are needed to assess whether it has any superiority over other existing techniques. | Muhammad Haseeb Khalid Muzafar Khurshid A.Bhat Abdul Ghani Omeshwar Singh | 2018 | Chinese Journal of Traumatology2018，21，6： | 1 |
| 11 | An Energy-Efficient Mobile Agent-Based Data Aggregation Scheme for Wireless Body Area Networks显示文摘Due to the advancement in wireless technology and miniaturization,Wireless Body Area Networks(WBANs)have gained enormous popularity,having various applications,especially in the healthcare sector.WBANs are intrinsically resource-constrained;therefore,they have specific design and development requirements.One such highly desirable requirement is an energy-efficient and reliable Data Aggregation(DA)mechanism for WBANs.The efficient and reliableDAmay ultimately push the network to operate without much human intervention and further extend the network lifetime.The conventional client-serverDAparadigm becomes unsuitable and inefficient for WBANs when a large amount of data is generated in the network.Similarly,in most of the healthcare applications(patient’s critical conditions),it is highly important and required to send data as soon as possible;therefore,reliable data aggregation in WBANs is of great concern.To tackle the shortcomings of the client-serverDAparadigm,theMobile Agent-Basedmechanismproved to be a more workable solution.In aMobile Agent-Based mechanism,a taskspecific mobile agent(code)traverses to the intended sources to gather data.Thesemobile agents travel on a predefined path called itinerary;however,planning a suitable and reliable itinerary for a mobile agent is also a challenging issue inWBANs.This paper presents a new Mobile Agent-Based DA scheme for WBANs,which is energy-efficient and reliable.Firstly,in the proposed scheme,the network is divided into clusters,and cluster-heads are selected.Secondly,a mobile agent is generated from the base station to collect the required data from cluster heads.In the case,if any fault occurs in the existing itinerary,an alternate itinerary is planned in real-time without compromising the network performance.In our simulation-based validation,we have found that the proposed system delivers significantly improved fault-tolerance and reliability with energy-efficiency and extended network lifetime in WBANs. | Gulzar Mehmood Muhammad Zahid Khan Muhammad Fayaz Mohammad Faisal Haseeb Ur Rahman Jeonghwan Gwak | 2022 | Computers, Materials & Continua2022，，3： | 0 |
| 12 | A Fusion of Residual Blocks and Stack Auto Encoder Features for Stomach Cancer Classification显示文摘Diagnosing gastrointestinal cancer by classical means is a hazardous procedure.Years have witnessed several computerized solutions for stomach disease detection and classification.However,the existing techniques faced challenges,such as irrelevant feature extraction,high similarity among different disease symptoms,and the least-important features from a single source.This paper designed a new deep learning-based architecture based on the fusion of two models,Residual blocks and Auto Encoder.First,the Hyper-Kvasir dataset was employed to evaluate the proposed work.The research selected a pre-trained convolutional neural network(CNN)model and improved it with several residual blocks.This process aims to improve the learning capability of deep models and lessen the number of parameters.Besides,this article designed an Auto-Encoder-based network consisting of five convolutional layers in the encoder stage and five in the decoder phase.The research selected the global average pooling and convolutional layers for the feature extraction optimized by a hybrid Marine Predator optimization and Slime Mould optimization algorithm.These features of both models are fused using a novel fusion technique that is later classified using the Artificial Neural Network classifier.The experiment worked on the HyperKvasir dataset,which consists of 23 stomach-infected classes.At last,the proposed method obtained an improved accuracy of 93.90%on this dataset.Comparison is also conducted with some recent techniques and shows that the proposed method’s accuracy is improved. | Abdul Haseeb Muhammad Attique Khan Majed Alhaisoni Ghadah Aldehim Leila Jamel Usman Tariq Taerang Kim Jae-Hyuk Cha | 2023 | Computers, Materials & Continua2023，77，12： | 0 |
| 13 | National guidelines for the diagnosis and treatment of hilar cholangiocarcinoma显示文摘A consensus meeting of national experts from all major national hepatobiliary centres in the country was held on May 26,2023,at the Pakistan Kidney and Liver Institute&Research Centre(PKLI&RC)after initial consultations with the experts.The Pakistan Society for the Study of Liver Diseases(PSSLD)and PKLI&RC jointly organised this meeting.This effort was based on a comprehensive literature review to establish national practice guidelines for hilar cholangiocarcinoma(hCCA).The consensus was that hCCA is a complex disease and requires a multidisciplinary team approach to best manage these patients.This coordinated effort can minimise delays and give patients a chance for curative treatment and effective palliation.The diagnostic and staging workup includes high-quality computed tomography,magnetic resonance imaging,and magnetic resonance cholangiopancreato-graphy.Brush cytology or biopsy utilizing endoscopic retrograde cholangiopancreatography is a mainstay for diagnosis.However,histopathologic confirmation is not always required before resection.Endoscopic ultrasound with fine needle aspiration of regional lymph nodes and positron emission tomography scan are valuable adjuncts for staging.The only curative treatment is the surgical resection of the biliary tree based on the Bismuth-Corlette classification.Selected patients with unresectable hCCA can be considered for liver transplantation.Adjuvant chemotherapy should be offered to patients with a high risk of recurrence.The use of preoperative biliary drainage and the need for portal vein embolisation should be based on local multidisciplinary discussions.Patients with acute cholangitis can be drained with endoscopic or percutaneous biliary drainage.Palliative chemotherapy with cisplatin and gemcitabine has shown improved survival in patients with irresectable and recurrent hCCA. | Faisal Saud Dar Zaigham Abbas Irfan Ahmed Muhammad Atique Usman Iqbal Aujla Muhammad Azeemuddin Zeba Aziz Abu Bakar Hafeez Bhatti Tariq Ali Bangash Amna Subhan Butt Osama Tariq Butt Abdul Wahab Dogar Javed Iqbal Farooqi Faisal Hanif Jahanzaib Haider Siraj Haider Syed Mujahid Hassan Adnan Abdul Jabbar Aman Nawaz Khan Muhammad Shoaib Khan Muhammad Yasir Khan Amer Latif Nasir Hassan Luck Ahmad Karim Malik Kamran Rashid Sohail Rashid Mohammad Salih Abdullah Saeed Amjad Salamat Ghias-un-Nabi Tayyab Aasim Yusuf Haseeb Haider Zia Ammara Naveed | 2024 | World Journal of Gastroenterology2024，30，9： | 0 |
| 14 | A dynamic infiltration technique to synthesize nanolayered cathodes for high performance and robust solid oxide fuel cells显示文摘Solution infiltration is a popular technique for the surface modification of solid oxide fuel cell(SOFC)cathodes.However,the synthesis of nanostructured SOFC cathodes by infiltration is a tedious process that often requires several infiltration and high temperature(≥500℃)calcination cycles.Moreover,fabricating large-area nanostructured cathodes via infiltration still requires serious attention.Here,we propose a facile and scalable urea assisted ultrasonic spray infiltration technique for nanofabrication of SOFC cathodes.It is demonstrated that by using urea as a precipitating agent,the calcination after each infiltration cycle can be omitted and the next infiltration can be performed just after a drying step(≤100℃).Finally,the precipitates can be converted into a desired catalyst phase in single calcination thus,a nanostructured cathode can be fabricated in a much faster manner.It is also shown that the low calcination temperature of the cathode(≤900℃)can produce highly durable SOFC performance even without employing a Ce_(0.9)Gd_(0.1)O_(2)(GDC)diffusion barrier layer which provides the ease of SOFC fabrication.While coupling with an ultrasonic spray technique,the urea assisted infiltration can be scaled up for any desired cathode area.La_(0.6)Sr_(0.4)Co_(0.2)Fe_(0.8)O_(3) nanolayered cathode was fabricated and it was characterized by scanning electron microscope(SEM),X-ray diffraction(XRD),and transmission electron microscopy(TEM)techniques.SEM showed the formation of a nanolayer cathode just after 5 cycles of the urea assisted infiltration while the XRD and TEM confirmed the phase and stoichiometric uniformity of the 100 nm cathode nanolayer.The effectiveness of the newly developed technique was further verified by the stable operation of a GDC buffer layer free SOFC having an active cathode area of 25 cm^(2) during a 1200 h durability test.The research outcomes propose urea assisted ultrasonic spray infiltration as a facile,scalable,and commercially viable method for the fabrication of durable nanostructured SOFC cathodes. | Saeed Ur Rehman Ho-Seon Song Hye-Sung Kim Muhammad Haseeb Hassan Dong-Woo Joh Rak-Hyun Song Tak-Hyoung Lim Jong-Eun Hong Seok-Joo Park Seung-Bok Lee | 2022 | Journal of Energy Chemistry2022，31，7： | 0 |
| 15 | Knee Osteoarthritis Classification Using X-Ray Images Based on Optimal Deep Neural Network显示文摘X-Ray knee imaging is widely used to detect knee osteoarthritis due to ease of availability and lesser cost.However,the manual categorization of knee joint disorders is time-consuming,requires an expert person,and is costly.This article proposes a new approach to classifying knee osteoarthritis using deep learning and a whale optimization algorithm.Two pre-trained deep learning models(Efficientnet-b0 and Densenet201)have been employed for the training and feature extraction.Deep transfer learning with fixed hyperparameter values has been employed to train both selected models on the knee X-Ray images.In the next step,fusion is performed using a canonical correlation approach and obtained a feature vector that has more information than the original feature vector.After that,an improved whale optimization algorithm is developed for dimensionality reduction.The selected features are finally passed to the machine learning algorithms such as Fine-Tuned support vector machine(SVM)and neural networks for classification purposes.The experiments of the proposed framework have been conducted on the publicly available dataset and obtained the maximum accuracy of 90.1%.Also,the system is explained using Explainable Artificial Intelligence(XAI)technique called occlusion,and results are compared with recent research.Based on the results compared with recent techniques,it is shown that the proposed method’s accuracy significantly improved. | Abdul Haseeb Muhammad Attique Khan Faheem Shehzad Majed Alhaisoni Junaid Ali Khan Taerang Kim Jae-Hyuk Cha | 2023 | Computer Systems Science & Engineering2023，47，11： | 0 |
| 16 | Cluster-Based Group Mobility Support for Smart IoT显示文摘IPv6 over Low Power Wireless Personal Area Network(6LoWPAN)connects the highly constrained sensor nodes with the internet using the IPv6 protocol.6LoWPAN has improved the scalability of the Internet of Things(IoTs)infrastructure and allows mobile nodes to send packets over the IEEE 802.15.4 wireless network.Several mobility managements schemes have been suggested for handling the registration and handover procedures in 6LoWPAN.However,these schemes have performance constraints,such as increased transmission cost,signalling overhead,registration,and handover latency.To address these issues,we propose a novel cluster-based group mobility scheme(CGM6)for 6LoWPAN.To reduce the signalling cost in the CGM6 scheme,we propose to combine the functions of the Authentication,Authorization and Accounting(AAA)server and Local Mobility Anchor(LMA)in AMAG6(AAA+MAG for 6LoWPAN).AMAG6 acts as a cluster head and exchange its information directly with its neighbouring AMAG6 during the mobility.Furthermore,AMAG6 is responsible for the binding and authentication process.To reduce the transmission cost,we also propose enhancements in registration and Handover procedures.The performance of CGM6 is evaluated through extensive simulations.The simulation results show that CGM6 has reduced the handoff latency by 32%,registration delay by 11%and transmission cost by 37%compared to the state-of-the-art mobility management schemes. | Kanwal Imran Nasreen Anjum Saeed Mahfooz Muhammad Zubair Zhahoui Yang Abdul Haseeb Malik Qazi Ejaz Ali Madeeha Aman | 2021 | Computers, Materials & Continua2021，，8： | 0 |
| 17 | Evolution-Based Performance Prediction of Star Cricketers显示文摘Cricket databases contain rich and useful information to examine and forecasting patterns and trends.This paper predicts Star Cricketers(SCs)from batting and bowling domains by employing supervised machine learning models.With this aim,each player’s performance evolution is retrieved by using effective features that incorporate the standard performance measures of each player and their peers.Prediction is performed by applying Bayesianrule,function and decision-tree-based models.Experimental evaluations are performed to validate the applicability of the proposed approach.In particular,the impact of the individual features on the prediction of SCs are analyzed.Moreover,the category and model-wise feature evaluations are also conducted.A cross-validation mechanism is applied to validate the performance of our proposed approach which further confirms that the incorporated features are statistically significant.Finally,leading SCs are extracted based on their performance evolution scores and their standings are cross-checked with those provided by the International Cricket Council. | Haseeb Ahmad Shahbaz Ahmad Muhammad Asif Mobashar Rehman Abdullah Alharbi Zahid Ullah | 2021 | Computers, Materials & Continua2021，，10： | 0 |
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