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Brain Tumor Segmentation using Multi-View Attention based Ensemble Network

Computers, Materials & Continua 2022年第9期72卷 5793-5806页

作者： Noreen Mushtaq Arfat Ahmad Khan Faizan Ahmed Khan muhammad Junaid ali malik muhammad ali shahid Chitapong Wechtaisong Peerapong Uthansakul COMSATS University Islamabad Islamabad Campus45550Pakistan Suranaree University of Technology Nakhon Ratchasima30000Thailand COMSATS University Islamabad Lahore Campus54000Pakistan Virtual University of Pakistan Islamabad Campus45550Pakistan COMSATS University Islamabad Vehari Campus61100Pakistan

Astrocytoma IV or glioblastoma is one of the fatal and dangerous types of brain *** detection of brain tumor increases the survival rate and helps in reducing the fatality *** imaging modalities have been used for diagnosing by expert radiologists,and Medical Resonance Image(MRI)is considered a better option for detecting brain tumors as MRI is a non-invasive technique and provides better visualization of the brain *** of the challenging issues is to identify the tumorous region from the MRI scans *** segmentation is performed by medical experts,which is a time-consuming task and got chances of *** overcome this issue,automatic segmentation is performed for quick and accurate *** proposed approach is to capture inter-slice information and reduce the *** learning-based brain tumor segmentation techniques proved best among available segmentation ***,deep learning may miss some preliminary info while using MRI images during *** MRI volumes are volumetric,3D U-Net-based models are used but *** of multiple 2D U-Net predictions in axial,sagittal,and coronal views help to capture inter-slice *** approach may reduce the system ***,the Conditional Random Fields(CRF)reduce the predictions’false positives and improve the segmentation *** model is applied to Brain Tumor Segmentation(BraTS)2019 dataset,and cross-validation is performed to check the accuracy of *** proposed approach achieves Dice Similarity Score(DSC)of 0.77 on Enhancing Tumor(ET),0.90 on Whole Tumor(WT),and 0.84 on Tumor Core(TC)with reduced Hausdorff Distance(HD)of 3.05 on ET,5.12 on WT and 3.89 on TC.

关键词： Brain tumor deep learning detection conditional random field segmentation

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An Innovative Approach Utilizing Binary-View Transformer for Speech Recognition Task

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Computers, Materials & Continua 2022年第9期72卷 5547-5562页

作者： muhammad Babar Kamal Arfat Ahmad Khan Faizan Ahmed Khan malik muhammad ali shahid Chitapong Wechtaisong muhammad Daud Kamal muhammad Junaid ali Peerapong Uthansakul COMSATS University Islamabad Islamabad Campus45550Pakistan Suranaree University of Technology Nakhon Ratchasima30000Thailand COMSATS University Islamabad Lahore Campus54000Pakistan COMSATS University Islamabad Vehari Campus61100Pakistan National University of Sciences&Technology Islamabad45550Pakistan Virtual University of Pakistan Islamabad Campus45550Pakistan

The deep learning advancements have greatly improved the performance of speech recognition systems,and most recent systems are based on the Recurrent Neural Network(RNN).Overall,the RNN works fine with the small sequence data,but suffers from the gradient vanishing problem in case of large *** transformer networks have neutralized this issue and have shown state-of-the-art results on sequential or speech-related ***,in speech recognition,the input audio is converted into an image using Mel-spectrogram to illustrate frequencies and *** image is classified by the machine learning mechanism to generate a classification ***,the audio frequency in the image has low resolution and causing inaccurate *** paper presents a novel end-to-end binary view transformer-based architecture for speech recognition to cope with the frequency resolution ***,the input audio signal is transformed into a 2D image using ***,the modified universal transformers utilize the multi-head attention to derive contextual information and derive different speech-related ***,a feedforward neural network is also deployed for *** proposed system has generated robust results on Google’s speech command dataset with an accuracy of 95.16%and with minimal *** binary-view transformer eradicates the eventuality of the over-fitting problem by deploying a multiview mechanism to diversify the input data,and multi-head attention captures multiple contexts from the data’s feature map.

关键词： Convolution neural network multi-head attention multi-view RNN self-attention speech recognition transformer

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Detection of Omicron Caused Pneumonia from Radiology Images Using Convolution Neural Network(CNN)

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Computers, Materials & Continua 2023年第2期74卷 3743-3761页

作者： Arfat Ahmad Khan malik muhammad ali shahid Rab Nawaz Bashir Salman Iqbal Arshad Shehzad Ahmad shahid Javeria Maqbool Chitapong Wechtaisong College of Computing Khon Kaen UniverityKhon Kaen40000Thailand Department of Computer Science COMSATS University IslamabadVehari61100Pakistan Department of Petroleum&Gas Engineering University of Engineering&Technology54890Pakistan Electrical Engineering Department SBASSELahore University of Management SciencesLahore54890Pakistan School of Telecommunication Engineering Suranaree University of TechnologyNakhon Ratchasima30000Thailand

COVID-19 disease caused by the SARS-CoV-2 virus has created social and economic disruption across *** ability of the COVID-19 virus to quickly mutate and transfer has created serious concerns across the *** is essential to detectCOVID-19 infection caused by different variants to take preventive measures *** existing method of detection of infections caused by COVID-19 and its variants is costly and *** impacts of theCOVID-19 pandemic in developing countries are very drastic due to the unavailability of medical facilities and infrastructure to handle the *** is the major symptom of COVID-19 *** radiology of the lungs in varies in the case of bacterial pneumonia as compared to COVID-19-caused *** pattern of pneumonia in lungs in radiology images can also be used to identify the cause associated with *** this paper,we propose the methodology of identifying the cause(either due to COVID-19 or other types of infections)of pneumonia from radiology ***,because different variants of COVID-19 lead to different patterns of pneumonia,the proposed methodology identifies pneumonia,the COVID-19 caused pneumonia,and Omicron caused pneumonia from the radiology *** fulfill the above-mentioned tasks,we have used three Convolution Neural Networks(CNNs)at each stage of the proposed *** results unveil that the proposed step-by-step solution enhances the accuracy of pneumonia detection along with finding its cause,despite having a limited dataset.

关键词： COVID-19 pneumonia radiology images omicron convolution neural network(CNN) microscopy

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Large Scale Fish Images Classification and Localization using Transfer Learning and Localization Aware CNN Architecture

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Computer Systems Science & Engineering 2023年第5期45卷 2125-2140页

作者： Usman Ahmad muhammad Junaid ali Faizan Ahmed Khan Arfat Ahmad Khan ArifUr Rehman malik muhammad ali shahid Mohd Anul Haq Ilyas Khan Zamil SAlzamil Ahmed Alhussen Bahria University Islamabad45550Pakistan COMSATS University Islamabad Islamabad45550Pakistan University of Central Punjab Lahore54000Pakistan College of Computing Khon Kaen UniversityKhon Kaen40000Thailand COMSATS University Islamabad Vehari61170Pakistan Department of Computer Science College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Mathematics College of Science Al-ZulfiMajmaah UniversityAl-Majmaah11952Saudi Arabia Department of Computer Engineering College of Computer and Information SciencesMajmaah UniversityAl-Majmaah11952Saudi Arabia

Building an automatic fish recognition and detection system for largescale fish classes is helpful for marine researchers and marine scientists because there are large numbers of fish ***,it is quite difficult to build such systems owing to the lack of data imbalance problems and large number of *** solve these issues,we propose a transfer learning-based technique in which we use Efficient-Net,which is pre-trained on ImageNet dataset and fine-tuned on QuT Fish Database,which is a large scale ***,prior to the activation layer,we use Global Average Pooling(GAP)instead of dense layer with the aim of averaging the results of predictions along with having more information compared to the dense *** check the validity of our model,we validate our model on the validation set which achieves satisfactory ***,for the localization task,we propose an architecture that consists of localization aware block,which captures localization information for better prediction and residual connections to handle the over-fitting ***,the residual connections help the layer to combine missing information with the relevant *** addition,we use class weights and Focal Loss(FL)to handle class imbalance problems along with reducing false ***,class weights assign less weights to classes having fewer instances and large weights to classes having more number of *** the localization,the qualitative assessment shows that we achieve 57%Mean Intersection Over Union(IoU)on testing data,and the classification results show 75%precision,70%recall,78%accuracy and 74%F1-Score for 468 fish species.

关键词： Underwater species transfer learning k-nearest neighbors global average pooling efficientnet

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Measuring Reliability of A Web Portal Based on Testing Profile

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Computers, Materials & Continua 2023年第3期74卷 6641-6663页

作者： malik muhammad ali shahid shahida Sulaiman Mohammed Al-Sarem Aqeel Ur Rahman Salman Iqbal Rab Nawaz Bashir Arfat Ahmad Khan Momen M.Alrawi Rashiq R.Marie Settawit Poochaya COMSATS University Islamabad Vehari Vehari61100Pakistan Universiti Teknologi Malaysia Johor Bahru81310Malaysia College of Computer Science and Engineering Taibah UniversityMedina41477Saudi Arabia Information System Department Sheba Region UniversityMarib14400Yemen Suranaree University of Technology Nakhon Ratchasima30000Thailand Khon Kaen University Khon Kaen40000Thailand Umm Al-Qura University Mecca24382Saudi Arabia Taibah University Medina42353Saudi Arabia

Conventionally,the reliability of a web portal is validated with generalized conventional methods,but they fail to provide the desired ***,we need to include other quality factors that affect reliability such as usability for improving the reliability in addition to the conventional reliability ***,the primary objectives of web portals are to provide interactive integration of multiple functions confirming diverse requirements in an efficient *** this paper,we employ testing profiles tomeasure the reliability through software operational profile,input space profile and usability profile along with qualitative measures of reliability and ***,the case study used for verification is based on aweb application that facilitates information and knowledge sharing among its online *** proposed scheme is compared with the conventional reliability improvement method in terms of failure detection and *** final results unveil that the computation of reliability by using the traditional method(utilizing failure points with the assistance of Mean Time Between Failures(MTBF)and Mean Time To Failure(MTTF)becomes ineffective under certain *** such situations,the proposed scheme helps to compute the reliability in an effective ***,the outcomes of the study provide insight recommendations about the testing and measurement of reliability for Web based software or applications.

关键词： Software usability software reliability web portals software testing software testing profile

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MicroRNAs modulation in lung cancer: exploring dual mechanisms and clinical prospects

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BIOCELL 2024年第3期48卷 403-413页

作者： shahid HUSSAIN HABIB BOKHARI XINGXING FAN SHAUKAT IQBAL malik SUNDAS IJAZ muhammad ADNAN SHEREEN AIMAN FATIMA Department of Biotechnology Kohsar University MurreeMurreePakistan Macao University of Science and Technology State Key Laboratory of Quality Research in Chinese Medicines TaipaMacao Department of Bioinformatics and Biosciences Capital University of Science and TechnologyIslamabadPakistan Department of Microbiology Kohsar University MurreeMurreePakistan

The global incidence of lung cancer is marked by a considerably elevated mortality ***(miRNAs)exert pivotal inﬂuence in the intricate orchestration of gene regulation,and their dysregulation can precipitate dire consequences,notably *** this context,miRNAs encapsulated in exosomes manifest a diversiﬁed impact on the landscape of lung cancer,wherein their actions may either foster angiogenesis,cell proliferation,and metastasis,or counteract these *** comprehensive review article discerns potential targets for the prospective development of therapeutic agents tailored for lung ***-suppressive miRNAs,such as miR-204,miR-192,miR-30a,miR-34a,miR-34b,miR-203,and miR-212,exhibit heightened expression and demonstrate the capacity to inhibit cellular proliferation and ***,the deleterious effects of tumor-promoting miRNAs like miR-21,miR-106a,miR-155,miR-205,and miR-210 can be attenuated through the application of their respective *** miRNAs selectively target various oncogenes,including NUAK Family Kinase 1(NUAK1),Snail Family Transcriptional Repressor 1(Snai1),Astrocyte elevated gene-1(AEG-1),Vimentin,Proliferation and apoptosis adaptor protein 15(PEA-15/PED),Hypoxia-inducible factor 1-alpha(HIF1),as well as tumor suppressor genes such as phosphatase and tensin homolog(PTEN),Suppressor of cytokine signaling 1(SOCS1),Tumor protein P53 binding protein 1(TP53BP1),and PH Domain and Leucine Rich Repeat Protein Phosphatase 2(PHLP22).This investigative approach proves invaluable in elucidating the speciﬁc miRNAs implicated in the deregulation of crucial genes pivotal to the pathogenesis of cancer.

关键词： miRNAs Oncogenes Tumor suppressive genes Lung cancer therapy

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Reduced bit low power VLSI architectures for motion estimation

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Journal of Systems Engineering and Electronics 2013年第3期24卷 382-399页

作者： Shahrukh Agha shahid Khan Shahzad malik Raja Riaz Department of Electrical Engineering COMSATS Institute of Information Technology

Low power and real time very large scale integration （VLSI） architectures of motion estimation （ME） algorithms for mobile devices and applications are presented. The power reduction is achieved by devising a novel correction recovery mechanism based on algorithms which allow the use of reduced bit sum of absolute difference （RBSAD） metric for calculating matching error and conversion to full resolution sum of absolute difference （SAD） metric whenever necessary. Parallel and pipelined architectures for high throughput of full search ME corresponding to both the full resolution SAD and the generalized RBSAD algorithm are synthe- sized using Xilinx Synthesis Tools （XST）, where the ME designs based on reduced bit （RB） algorithms demonstrate the reduction in power consumption up to 45% and/or the reduction in area up to 38%.

关键词： motion estimation (ME) very large scale integration (VLSI) reduced bit sum of absolute difference (RBSAD).

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Increasing secondary bacterial infections with Enterobacteriaceae harboring bla_(CTX-M-15) and bla_(CMY-6) in patients with bronchogenic carcinoma:an emerging point of concern

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Asian Pacific Journal of Tropical Medicine 2011年第1期4卷 5-12页

作者： Mohammed shahid Abida malik Rakesh Bhargava Section of Bacteriology & Molecular Biology Department of Medical MicrobiologyJN Medical College & HospitalAligarh Muslim UniversityAligarh-202 002U.P.India T.B.& Chest Diseases Jawaharlal Nehru Medical College & HospitalAligarh Muslim UniversityAligarh-202002Uttar PradeshIndia

Objective:To look for secondary bacterial infections in bronchogenic carcinoma（BCA） with resistant organisms harboring bla genes considering the paucity of relevant ***: A total of 137 confirmed cases of BCA and 34 healthy volunteers were studied for the occurrence and prevalence of blaCTX-M and and blaAmpC harboring-enterobacteriaceae.A subset of these patients（n=69） was previously reported for the secondary infection with the Aspergillus species. Bronchoalveolar lavages（BAL） were subjected for bacterial and fungal cultures and the bacterial isolates were screened by multiplex PCRs for the presence of blaCTX-M and blaAmpC.The isolates were also screened for the association of insertion sequence（IS26） by PCR and characterized by RAPD for any clonal ***:A total of 143 bacterial isolates were obtained from 137 BAL specimens of BC,*** Enterobacteriaceae-isolates were multidrug-resistant showing concomitant resistance to fluoroquinolones and *** blaCTX-M and blaAmpC of CIT family were detected in 77.4%and 27.4%isolates,*** revealed the presence of blaCTX-M-15 and blaCMY-6.Twenty one percent of the isolates were simultaneously harboring blaampC and blaCTX-M-15.IS26 PCR and RAPD typing revealed the presence of diverse bacterial population but no predominant clone was *** present study also suggests strong association of aspergillosis with lung cancer and further strengthens the potential use of non-validated serological tests suggested ***:We emphasize that all patients of bronchogenic carcinoma should also be screened for secondary bacterial infections,along with secondary fungal infections,so as to introduce early and specific antimicrobial therapy and to prevent unwanted deaths.

关键词： Bronchogenic carcinoma Secondary bacterial infections CTX-M AmpC Enterobacteriaceae

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Influence of ellagic acid on prostate cancer cell proliferation:A caspase-dependent pathway

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Asian Pacific Journal of Tropical Medicine 2011年第7期4卷 550-555页

作者： Arshi malik Sarah Afaq Mohammad shahid Kafil Akhtar Abdullah Assiri Department of Clinical Biochemistry College of MedicineKing Khalid UniversityAbhaKingdom of Saudi Arabia Department of Microbiology Jawaharlal Nehru Medical CollegeAligarh Muslim UniversityAligarhIndia Department of Pathology Jawaharlal Nehru Medical CollegeAligarh Muslim UniversityAligarhIndia Interventional Cardiologist College of MedicineKing Khalid UniversityAbhaKingdom of Saudi Arabia

Objective:To evaluate the effect of allagic acid treatment on the cell viability of human prostate cancer ***:Ellagic acid(10-100 mol/L) treatment(48 h) of human prostate carcinoma PC3 cells was found to result in a dose-dependent inhibition of cell growth and apoptosis of PC3 cells as assessed by MTT assay,western *** cytometry and confocal ***:We observed that ellagic acid treatment of PC3 cells resulted in a dose dependent inhibition of cell growth/cell *** ellagic acid caused cell growth inhibition was found to be accompanied by induction of apoptosis,as assessed by the cleavage of poly (ADP-ribose) polymerase(PARP) and morphological ***,induction of apoptosis accompanied a decrease in the levels of antiapoptotic protein Bcl-2 and increase in proapoptotic protein *** shifting the Bax:Bcl-2 ratio in favor of *** acid treatment of PC3 cells was also found to result in significant activation of caspases,as shown by the dose dependent decrease in the protein expression of procaspase-3,-6.-8 and -*** ellagic acid-mediated induction of apoptosis was significantly(80%-90%) inhibited by the caspase inhibitor N-benzyloxycarbonyl-Val-Ala-Asp(OMe)-fluoromethylketone(Z-VAD-FMK).Thus these data suggested an essential role of caspases in ellagic acid-mediated apoptosis of PC3 ***:It is tempting to suggest that consumption of tropical pigmented fruits and vegetables could be an effective strategy to combat prostate cancer.

关键词： Ellagic acid Apoptosis Prostate cancer Caspases

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Development of 19-plex Y STR system and polymorphism studies in Pakistani population

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Journal of Pharmaceutical Analysis 2008年第4期20卷 267-273页

作者： Faraz malik Mahmood A. Kayani M. Ansar Obaid Ullah muhammad Shafeeq shahid Chohan Yassir Abbas Saqib Shazad ali Raza Rahat Rehman Faizan Raiz Qurat-ul-ain muhammad Hassan Siddiqi Allah Rakha Zia ur Rehman Zahoor Ahmed Department of Biosciences COMSATS Insitute of Information Technology Islamabad Pakistan Centre of Excellence in Molecular Biology Lahore Pakistan Centre for Advanced Forensic Sciences University of the Punjab Lahore Pakistan National Key Laboratory of Ministry of Health for Forensic Sciences Xi'an Jiaotong University

For the development of 19-plex Y STR system and polymorphism studies in local ethnic populations sixteen markers of non-recombining regions (NRY) of Y chromosome, which show high power of discrimination among individuals, were selected in this study. Blood samples (600) were collected from the males of three most common castes of Pakistani population (Arain, Awan and Rajput) with different parent lineages. Three markers (DYS385a/b, DYS389I/II and YCAIIa/b) among 16 Y STRs are double-targeted regions of the Y chromosome and thus provide two polymorphic peaks for each respective primer set. These 16 Y-STRs were developed into Megaplex system for simultaneous amplification of all markers within the population. The overall power of discrimination observed in focused populations was 60.5%, 66.5% and 55% in Rajput, Awan and Arain casts respectively. This discrimination power will be helpful in human identification for forensic casework studies including sexual assaults and paternity testing.

关键词： STR Pakistani population polymorphism 19-plex Y STR

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