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A Semantic Adversarial Network for Detection and Classification of Myopic Maculopathy

Computers, Materials & Continua 2023年第4期75卷 1483-1499页

作者： Qaisar Abbas abdul rauf baig Ayyaz Hussain College of Computer and Information Sciences Imam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia Department of Computer Science Quaid-i-Azam UniversityIslamabad44000Pakistan

The diagnosis of eye disease through deep learning (DL) technologyis the latest trend in the field of artificial intelligence (AI). Especially indiagnosing pathologic myopia (PM) lesions, the implementation of DL is adifficult task because of the classification complexity and definition system ofPM. However, it is possible to design an AI-based technique that can identifyPM automatically and help doctors make relevant decisions. To achieve thisobjective, it is important to have adequate resources such as a high-qualityPM image dataset and an expert team. The primary aim of this research isto design and train the DLs to automatically identify and classify PM intodifferent classes. In this article, we have developed a new class of DL models(SAN-FSL) for the segmentation and detection of PM through semanticadversarial networks (SAN) and few-short learning (FSL) methods, *** to DL methods, the conventional segmentation methodsuse supervised learning models, so they (a) require a lot of data for trainingand (b) fixed weights are used after the completion of the training *** solve such problems, the FSL technique was employed for model trainingwith few samples. The ability of FSL learning in UNet architectures is beingexplored, and to fine-tune the weights, a few new samples are being providedto the UNet. The outcomes show improvement in the detection area andclassification of PM stages. Betterment in the result is observed by sensitivity(SE) of 95%, specificity (SP) of 96%, and area under the receiver operatingcurve (AUC) of 98%, and the higher F1-score is achieved using 10-fold ***, the obtained results confirmed the superiority of theSAN-FSL method.

关键词： Artificial intelligence cardiovascular vision loss deep learning few-shot learning semantic segmentation myopic maculopathy

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Transfer Learning-based Computer-aided Diagnosis System for Predicting Grades of Diabetic Retinopathy

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Computers, Materials & Continua 2022年第6期71卷 4573-4590页

作者： Qaisar Abbas Mostafa E.A.Ibrahim abdul rauf baig College of Computer and Information Sciences Imam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia Department of Electrical Engineering Benha Faculty of EngineeringBenha UniversityQalubiaBenha13518Egypt

Diabetic retinopathy(DR)diagnosis through digital fundus images requires clinical experts to recognize the presence and importance of many intricate *** task is very difficult for ophthalmologists and ***,many computer-aided diagnosis(CAD)systems were developed to automate this screening process *** this paper,aCAD-DR system is proposed based on preprocessing and a pre-train transfer learningbased convolutional neural network(PCNN)to recognize the five stages of DR through retinal fundus *** develop this CAD-DR system,a preprocessing step is performed in a perceptual-oriented color space to enhance the DR-related lesions and then a standard pre-train PCNN model is improved to get high classification *** architecture of the PCNN model is based on three main ***,the training process of the proposed PCNN is accomplished by using the expected gradient length(EGL)to decrease the image labeling efforts during the training of the CNN ***,themost informative patches and images were automatically selected using a few pieces of training labeled ***,the PCNN method generated useful masks for prognostication and identified regions of ***,the DR-related lesions involved in the classification task such as micro-aneurysms,hemorrhages,and exudates were detected and then used for recognition of *** PCNN model is pre-trained using a high-end graphical processor unit(GPU)on the publicly available Kaggle *** obtained results demonstrate that the CAD-DR system outperforms compared to other state-of-the-art in terms of sensitivity(SE),specificity(SP),and accuracy(ACC).On the test set of 30,000 images,the CAD-DR system achieved an average SE of 93.20%,SP of 96.10%,and ACC of 98%.This result indicates that the proposed CAD-DR system is appropriate for the screening of the severity-level of DR.

关键词： Diabetic Retinopathy retinal fundus images computer-aided diagnosis system deep learning transfer learning convolutional neural network

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Hypo-Driver: A Multiview Driver Fatigue and Distraction Level Detection System

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Computers, Materials & Continua 2022年第4期71卷 1999-2017页

作者： Qaisar Abbas Mostafa EAIbrahim Shakir Khan abdul rauf baig College of Computer and Information Sciences Imam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia Department of Electrical Engineering Benha Faculty of EngineeringBenha UniversityQalubiaBenha13518Egypt

Traffic accidents are caused by driver fatigue or distraction in many *** prevent accidents,several low-cost hypovigilance(hypo-V)systems were developed in the past based on a multimodal-hybrid(physiological and behavioral)feature *** in this paper,real-time driver inattention and fatigue(Hypo-Driver)detection system is proposed through multi-view cameras and biosignal sensors to extract hybrid *** considered features are derived from non-intrusive sensors that are related to the changes in driving behavior and visual facial *** get enhanced visual facial features in uncontrolled environment,three cameras are deployed on multiview points(0◦,45◦,and 90◦)of the *** develop a Hypo-Driver system,the physiological signals(electroencephalography(EEG),electrocardiography(ECG),electro-myography(sEMG),and electrooculography(EOG))and behavioral information(PERCLOS70-80-90%,mouth aspect ratio(MAR),eye aspect ratio(EAR),blinking frequency(BF),head-titled ratio(HT-R))are collected and pre-processed,then followed by feature selection and fusion *** driver behaviors are classified into five stages such as normal,fatigue,visual inattention,cognitive inattention,and *** improved hypo-Driver system utilized trained behavioral features by a convolutional neural network(CNNs),recurrent neural network and long short-term memory(RNN-LSTM)model is used to extract physiological *** fusion of these features,the Hypo-Driver system is classified hypo-V into five stages based on trained layers and dropout-layer in the deep-residual neural network(DRNN)*** test the performance of a hypo-Driver system,data from 20 drivers are *** results of Hypo-Driver compared to state-of-theart methods are *** to the state-of-the-art Hypo-V system,on average,the Hypo-Driver system achieved a detection accuracy(AC)of 96.5%.The obtained results indicate that the Hypo-Driver system based on multimodal and multivie

关键词： Internet of things(IoT) intelligent transportation sensors multiview points transfer learning convolutional neural network recurrent neural network residual neural network multimodal features

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Treadmill training in Parkinson's disease:possible role of prefrontal modifications in the improved cortical-subcortical network function

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Neural Regeneration Research 2024年第2期19卷 407-408页

作者： Hao Ding Amgad Droby abdul rauf Anwar Jeffrey M.Hausdorff Bahman Nasseroleslami Anat Mirelman Inbal Maidan Muthuraman Muthuraman Department of Neurology University Hospital WürzburgWürzburgGermany Academic Unit of Neurology Trinity College Dublinthe University of DublinDublinIreland Department of Neurology Sackler Faculty of MedicineTel Aviv UniversityTel AvivIsrael Sagol School of Neuroscience Tel Aviv UniversityTel AvivIsrael Biomedical Engineering Centre UET Lahore(KSK Campus)LahorePakistan Laboratory for Early Markers of Neurodegeneration(LEMON) Center for the Study of MovementCognitionand Mobility(CMCM)Neurological InstituteTel Aviv Sourasky Medical CenterTel AvivIsrael Department of Physical Therapy Sackler Faculty of MedicineTel Aviv UniversityTel AvivIsrael Rush Alzheimer’s Disease Center and Department of Orthopaedic Surgery Rush University Medical CenterChicagoILUSA

Parkinson’s disease(PD)is a complex neurodegenerative disorder characterized by a range of motor symptoms such as bradykinesia,resting tremor,rigidity,and postural instability,as well as non-motor symptoms,such as de... 详细信息

关键词： rigidity fatigue

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On Layout Optimization of Wireless Sensor Network Using Meta-Heuristic Approach

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Computer Systems Science & Engineering 2023年第9期46卷 3685-3701页

作者： Abeeda Akram Kashif Zafar Adnan Noor Mian abdul rauf baig Riyad Almakki Lulwah AlSuwaidan Shakir Khan National University of Computer and Emerging Sciences Islamabad(Lahore Campus)44000Pakistan Information Technology University LahorePakistan Department of Information Systems College of Computer and Information SciencesImam Mohammad Ibn Saud Islamic University(IMSIU)Riyadh11432Saudi Arabia University Centre for Research and Development Department of Computer Science and EngineeringChandigarh UniversityMohali 140413India

One of the important research issues in wireless sensor networks(WSNs)is the optimal layout designing for the deployment of sensor *** directly affects the quality of monitoring,cost,and detection capability of *** optimization is an NP-hard combinatorial problem,which requires optimization of multiple competing objectives like cost,coverage,connectivity,lifetime,load balancing,and energy consumption of sensor *** the last decade,several meta-heuristic optimization techniques have been proposed to solve this problem,such as genetic algorithms(GA)and particle swarm optimization(PSO).However,these approaches either provided computationally expensive solutions or covered a limited number of objectives,which are combinations of area coverage,the number of sensor nodes,energy consumption,and *** this study,a meta-heuristic multi-objective firefly algorithm(MOFA)is presented to solve the layout optimization ***,the main goal is to cover a number of objectives related to optimal layouts of homogeneous WSNs,which includes coverage,connectivity,lifetime,energy consumption and the number of sensor *** results showed that MOFA created optimal Pareto front of non-dominated solutions with better hyper-volumes and spread of solutions,in comparison to multi-objective genetic algorithms(IBEA,NSGA-II)and particle swarm optimizers(OMOPSO,SMOPSO).Therefore,MOFA can be used in real-time deployment applications of large-scale WSNs to enhance their detection capability and quality of monitoring.

关键词： Wireless sensor networks optimization coverage genetic algorithms particle swarm optimization

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Partial Fusion (F) Gene Analysis of Newcastle Disease Virus Detected in Pakistan during 2021-2022

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Journal of Biosciences and Medicines 2024年第5期12卷 256-275页

作者： Muhammad Danish Mehmood Huma Anwar Ul-Haq rauf Khalid Yasir Amin Muhammad Usman Ghani Muhammad Ismail Rabia Habib Fareeha Arshed abdul Rasheed Shaukat Institute of Molecular Biology & Biotechnology University of Lahore Lahore Pakistan Research & Development Division Ottoman Pharma Lahore Pakistan Quality Assurance Department Ottoman Pharma Lahore Pakistan Veterinary Research and Disease Investigation Center Abbottabad Pakistan Quality Control Department Ottoman Pharma Immuno Lahore Pakistan Production Department Ottoman Pharma Lahore Pakistan Poultry Production Department Sabir&#8217s Poultry Pvt. Ltd. Sabroso Pakistan

Newcastle disease (ND) virus is a leading threat to commercial and domestic poultry in Pakistan. The virus infects and constitutes irreversible impairment to the nervous system, damages the respiratory system, and marks severe gastrointestinal lesions leading to heavy mortality in short-living birds and substantial losses in layers and breeders. The continuous emergence and evolution of the virus made it inclined to evade the humoral response and indirectly the circumvention of artificial active immunization. Newcastle disease is caused by the orthoavula genus of the paramyxoviridae family and has shown high genetic diversity even in their genotypes while information regarding enzootic trends of the virus is scanty in Pakistan. A total of 40 tracheal samples of NDV were collected from different commercial broiler farms and 11 isolates of NDV were identified. In the current study, we determined the genetic diversity of the Newcastle disease virus based on the partial sequencing of the fusion protein gene available in the NCBI database. Genetic analysis showed that seven isolates belonged to class I genotype VII and four belonged to class II genotype II. Interestingly, two isolates had epidemiological connections with vaccine-like class II genotype II. Our findings, concerning the recent outbreaks of class I genotype VII and class II genotype II of NDV in vaccinated commercial flocks, suggest possible potential partial mutations in the fusion protein gene. Genetic diversity and formation of the new cleavage site in an important neutralizing protein of wild strain are linked with the potency of artificial active immunization and a major cause of vaccine failure.

关键词： Newcastle Disease Virus Haemagglutination Inhibition Polymerase Chain Reaction Phylogenetic Tree Mutation Analysis

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Unordered rule discovery using Ant Colony Optimization

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Science China(Information Sciences) 2014年第9期57卷 189-203页

作者： KHAN Salabat baig abdul rauf ALI Armughan HAIDER Bilal KHAN Farman Ali DURRANI Mehr Yahya ISHTIAQ Muhammad Department of Computer Science COMSATS Institute of Information TechnologyAttock CampusPakistan Department of Computer Science National University of Computer and Emerging SciencesIslamabadPakistan Al Imam Mohammad Ibn Saud Islamic University (IMSIU) College of Computer and Information SciencesRiyadhSaudi Arabia

In this article,a novel unordered classification rule list discovery algorithm is presented based on Ant Colony Optimization(ACO).The proposed classifier is compared empirically with two other ACO-based classification techniques on 26 data sets,selected from miscellaneous domains,based on several performance *** opposed to its ancestors,our technique has the flexibility of generating a list of IF-THEN rules with unrestricted *** makes the generated classification model more comprehensible and easily *** results indicate that the performance of the proposed method is statistically significantly better as compared with previous versions of AntMiner based on predictive accuracy and comprehensibility of the classification model.

关键词： classification ant colony optimization data mining unordered rule set comprehensibility pattern recognition

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Synthesis of novel 3,5-disubstituted-dihydroisoxazoles from methyl undec-10-enoate and isoxazoles,triazole and tetrazolo-triazole from methyl undec-10-ynoate

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Chinese Chemical Letters 2009年第10期20卷 1145-1149页

作者： Shweta Sharma abdul rauf Department of Chemistry Aligarh Muslim UniversityAligarh 202002 India

The efficient cycloaddition reactions were carried out to afford the novel 3,5-disubstituted-dihydroisoxazoles from methyl undec-10-enoate and isoxazoles, triazole and tetrazolo-triazole from methyl undec-10-ynoate. T... 详细信息

关键词： 3,5-Disubstituted-dihydroisoxazoles Triazole Methyl undec-10-enoate and undec-10-ynoate

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A Novel One Pot Synthesis of o-Nitrophenylacetic Acid and Unexpected p-Nitrobenzoic Acid by HNO3-Mediated CHz Extrusion Reaction of Phenylacetic Acid

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Chinese Journal of Chemistry 2012年第2期30卷 353-356页

作者： Sohail,Muhammad Raza,abdul rauf Ibn-e-Sina Block Department of ChemistryUniversity of SargodhaSargodha 40100Pakistan Department of Applied Chemistry School of Chemical Engineering and EnvironmentBeijing Institute of Technology5 South Zhongguaneun StreetHaidian DistrictBeijing 100081China

The HNO3-mediated commercially important 2-nitrophenylacetic acid. CH2 extrusion reactions product 4-nitrobenzoic of phenylacetic acid lead to acid through the formation one pot synthesis of unexpected of 4-nitropheny... 详细信息

关键词： synthetic methods regioselectivity carboxylic acid aromatic substitution industrial chemistry

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One-pot synthesis,antibacterial and antifungal activities of novel 2,5-disubstituted-1,3,4-oxadiazoles

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Chinese Chemical Letters 2008年第1期19卷 5-8页

作者： abdul rauf Shweta Sharma Saloni Gangal Department of Chemistry Aligarh Muslim UniversityAligarh 202002India

A series of novel 2,5-disubstituted-1,3,4-oxadiazoles have been synthesized from long-chain alkanoic and alkenoic acids. The structures of these compounds have been elucidated by elemental and spectral （IR, ^1H NMR, ^13C NMR, MS） analysis. Furthermore, compounds were screened for in vitro antibacterial activity against the representative panel of two Gram-positive and two Gram- negative bacteria. All the synthesized compounds were also tested for their inhibitory action against five strains of fungus. The various compounds show potent inhibitory action against test organisms. 2007 abdul rauf. Published by Elsevier B.V. on behalf of Chinese Chemical Society. All rights reserved.

关键词： 2,5-Disubstituted-l,3,4-oxadiazoles Antibacterial activity Antifungal activity

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