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| 1 | Relationship Between Customer Satisfaction andService Quality of Islamic Banks显示文摘 | Muhammad Naeem Akhtar Ahmed Imran Hunjra Syed Waqar Akbar Kashif-Ur-Rehman and Ghulam Shabbir Khan Niazi | | 0，，03： | 1 |
| 2 | A Hybrid Duo-Deep Learning and Best Features Based Framework for Action Recognition显示文摘Human Action Recognition(HAR)is a current research topic in the field of computer vision that is based on an important application known as video surveillance.Researchers in computer vision have introduced various intelligent methods based on deep learning and machine learning,but they still face many challenges such as similarity in various actions and redundant features.We proposed a framework for accurate human action recognition(HAR)based on deep learning and an improved features optimization algorithm in this paper.From deep learning feature extraction to feature classification,the proposed framework includes several critical steps.Before training fine-tuned deep learning models–MobileNet-V2 and Darknet53–the original video frames are normalized.For feature extraction,pre-trained deep models are used,which are fused using the canonical correlation approach.Following that,an improved particle swarm optimization(IPSO)-based algorithm is used to select the best features.Following that,the selected features were used to classify actions using various classifiers.The experimental process was performed on six publicly available datasets such as KTH,UT-Interaction,UCF Sports,Hollywood,IXMAS,and UCF YouTube,which attained an accuracy of 98.3%,98.9%,99.8%,99.6%,98.6%,and 100%,respectively.In comparison with existing techniques,it is observed that the proposed framework achieved improved accuracy. | Muhammad Naeem Akbar Farhan Riaz Ahmed Bilal Awan Muhammad Attique Khan Usman Tariq Saad Rehman | 2022 | Computers, Materials & Continua2022，，11： | 0 |
| 3 | HybridHR-Net:Action Recognition in Video Sequences Using Optimal Deep Learning Fusion Assisted Framework显示文摘The combination of spatiotemporal videos and essential features can improve the performance of human action recognition(HAR);however,the individual type of features usually degrades the performance due to similar actions and complex backgrounds.The deep convolutional neural network has improved performance in recent years for several computer vision applications due to its spatial information.This article proposes a new framework called for video surveillance human action recognition dubbed HybridHR-Net.On a few selected datasets,deep transfer learning is used to pre-trained the EfficientNet-b0 deep learning model.Bayesian optimization is employed for the tuning of hyperparameters of the fine-tuned deep model.Instead of fully connected layer features,we considered the average pooling layer features and performed two feature selection techniques-an improved artificial bee colony and an entropy-based approach.Using a serial nature technique,the features that were selected are combined into a single vector,and then the results are categorized by machine learning classifiers.Five publically accessible datasets have been utilized for the experimental approach and obtained notable accuracy of 97%,98.7%,100%,99.7%,and 96.8%,respectively.Additionally,a comparison of the proposed framework with contemporarymethods is done to demonstrate the increase in accuracy. | Muhammad Naeem Akbar Seemab Khan Muhammad Umar Farooq Majed Alhaisoni Usman Tariq Muhammad Usman Akram | 2023 | Computers, Materials & Continua2023，76，9： | 0 |
| 4 | Multi-strain Inoculation with PGPR Producing ACC Deaminase is More Effective Than Single-strain Inoculation to Improve Wheat (Triticum aestivum) Growth and Yield显示文摘Rhizosphere bacteria that colonize plant roots and confer beneficial effects are referred as plant growth promoting rhizobacteria(PGPR).Among all PGPR,some rhizobacteria have an ability to produce ACC deaminase enzyme.This enzyme catalyzes stress ACC into a-ketobutyrate and ammonia instead of letting it to be converted to ethylene.Ethylene level rises in plants under stress conditions i.e.,drought,salinity,poor soil fertility etc.As poor soil fertility is a big hurdle to achieve the optimum yield of crops,inoculation of ACC deaminase PGPR can overcome this problem to some extent.The aim of the current study was to examine the influence of multi-strain and single-strain inoculation of different ACC deaminase producing PGPR on wheat growth and yield.There were three PGPR strains,Enterobacter cloacae,Serratia ficaria and Burkholderia phytofirmans which were used as consortia and single-strain inoculations.The results showed that inoculation of E.cloacae+S.ficaria+B.phytofirmans significantly increased plant height(63%),spike length(61%),number of spikelets spike-1(61%),number of grains spike-1(131%),1000 grains weight(33%),grains yield(71%),straw yield(71%)and biological yield(68%)of wheat as compared to control.A significant improvement in N(37 and 200%),P(46 and 166%)and K(39 and 61%)of seeds and shoot respectively,validated the efficacious and more effective role of multi-strain(E.cloacae+S.ficaria+B.phytofirmans)inoculation over control.It is obviously concluded that multi-strain ACC deaminase producing PGPR inoculation is a better approach as compared to single-strain inoculation for the improvement in growth and yield of wheat. | Muhammad Zafar-ul-Hye Misbah Batool Zahra Subhan Danish Mazhar Abbas Abdur Rehim Muhammad Naeem Akbar Ayesha Iftikhar Mehreen Gul Ifat Nazir Maria Abid Muhammad Tahzeeb-ul-Hassan Maria Murtaza | 2020 | Phyton-International Journal of Experimental Botany2020，89，2： | 0 |
| 5 | Structure Elucidation and Biological Screening of Bis(4-{[(E)-(2-Hydroxybenzylidene)amino]methyl}-cyclohexane-carboxylato-O)-triaqua-cadmium显示文摘Using a bidentate ligand, a Schiff base 4-({[(Z)-(2-hydroxyphenyl)methyldene]amino}methyl)cyclohexanecarboxylic acid, complex I(ML2, where M = Cd(Ⅱ)) was synthesized and characterized by IR spectroscopy and X-ray crystallography. It crystallizes in monoclinic system, space group C2/c, M_r = 685.04, 0.34 mm × 0.26 mm × 0.14 mm, a = 54.050(3), b = 6.1220(3), c = 9.5081(5) ?, β = 90.229(2)°, Z = 4, C_(30) H_(40) CdN_2 O_9 and V = 3146.2(3) ?~3. Complex I was screened for its bactericidal activity against four bacterial strains Chromohalobactersalexigens, Chromohalobacterisraelensis, Halomonashalofila and Halomonassalina and fungicidal activity against Aspergillusnigerand Aspergillusflavus. Antimicrobial activity results showed that the synthesized complex displayed good anti-fungal activity against two fungal strains. It was found to be inactive against four different bacterial strains analyzed and was negative for bactericidal effect. | MUHAMMAD Danish SABA Akbar MUHAMMAD Nawaz Tahir MUHAMMAD Naeem Ahmed RABIA Ayub Butt MUHAMMAD Asam Raza MUHAMMAD Ashfaq | 2018 | Chinese Journal of Structural Chemistry2018，37，6： | 0 |
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