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Enhancing Security and Privacy in Distributed Face Recognition Systems through Blockchain and GAN Technologies

Computers, Materials & Continua 2024年第5期79卷 2609-2623页

作者： Muhammad ahmad nawaz Ul Ghani Kun She Muhammad Arslan Rauf Shumaila Khan Javed Ali Khan Eman Abdullah Aldakheel Doaa Sami Khafaga School of Information and Software Engineering University of Electronic Science and Technology of ChinaChengdu611731China Department of Computer Science University of Science&TechnologyBannu28100Pakistan Department of Computer Science University of HertfordshireHatfieldAL109ABUK Department of Computer Sciences College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia

The use of privacy-enhanced facial recognition has increased in response to growing concerns about data securityand privacy in the digital age. This trend is spurred by rising demand for face recognition technology in a varietyof industries, including access control, law enforcement, surveillance, and internet communication. However,the growing usage of face recognition technology has created serious concerns about data monitoring and userprivacy preferences, especially in context-aware systems. In response to these problems, this study provides a novelframework that integrates sophisticated approaches such as Generative Adversarial Networks (GANs), Blockchain,and distributed computing to solve privacy concerns while maintaining exact face recognition. The framework’spainstaking design and execution strive to strike a compromise between precise face recognition and protectingpersonal data integrity in an increasingly interconnected environment. Using cutting-edge tools like Dlib for faceanalysis,Ray Cluster for distributed computing, and Blockchain for decentralized identity verification, the proposedsystem provides scalable and secure facial analysis while protecting user privacy. The study’s contributions includethe creation of a sustainable and scalable solution for privacy-aware face recognition, the implementation of flexibleprivacy computing approaches based on Blockchain networks, and the demonstration of higher performanceover previous methods. Specifically, the proposed StyleGAN model has an outstanding accuracy rate of 93.84%while processing high-resolution images from the CelebA-HQ dataset, beating other evaluated models such asProgressive GAN 90.27%, CycleGAN 89.80%, and MGAN 80.80%. With improvements in accuracy, speed, andprivacy protection, the framework has great promise for practical use in a variety of fields that need face recognitiontechnology. This study paves the way for future research in privacy-enhanced face recognition systems, emphasizingt

关键词： Facial recognition privacy protection blockchain GAN distributed systems

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Transoral flexible laryngoscope biopsy:Safety and accuracy

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World Journal of Otorhinolaryngology-Head and Neck Surgery 2019年第1期5卷 30-33页

作者： Nabeel Humayun Hassan Rahila Usman Muhammad Yousuf ahmad nawaz ahmad Ismail Hirani Department of ENT Head■Neck Surgery Shaheed Mohtarma Benazir Bhutto Medical College&Lyari General HospitalKarachiPakistan Department of Radiology Dow University of Health SciencesPakistan Department of ENT Head■Neck Surgery Liaquat National Medical College■HospitalPakistan

Objective:To determine the accuracy of transoral flexible laryngoscope (TFL) biopsy and also to identify the safety as office based procedure in terms of ***:This is a diagnostic study;the type of intervention is outpatient department based biopsy of laryngeal *** patients seen in ENT outpatient department of Lyari General Hospital with suspicious lesions of Larynx were referred for Transoral Flexible Laryngoscopy Biopsy under local *** specimens were sent for *** patients with benign pathology or carcinoma in situ were referred for direct laryngoscopy and *** sensitivity and specificity were calculated and the frequencies of complications were monitored to determine the complication ***:During the course of study a total of 47 patients underwent TFL biopsy in office *** of these patients 16 patients were referred for direct laryngoscopy *** study population included 32 men and 15 women with ages ranging from 28 to 52 years and mean of (39 ± 6) *** 43 patients squamous cell carcinoma was the final diagnosis in 31 *** the rest of 12 patients' dysplasia and benign lesion was the diagnosis in 9 and 3 patients *** 12 patients underwent direct laryngoscopy biopsy and 10 of them diagnosed with invasive carcinoma rest had benign *** the specificity was 75.6% and sensitivity was 100%.None of the patients developed any serious ***:All patients with a suspicious lesion diagnosed by TFL biopsy as being benign or carcinoma in situ should have direct laryngoscopy for verification of the *** the results positive for carcinoma are *** addition,this is a safe procedure.

关键词： Biopsy Flexible laryngoscopy Squamous cell carcinoma Larynx

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Automatic Eyewitness Identification During Disasters by Forming a Feature-Word Dictionary

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Computers, Materials & Continua 2022年第9期72卷 4755-4769页

作者： Shahzad Nazir Muhammad Asif Shahbaz ahmad Hanan Aljuaid Shahbaz ahmad Yazeed Ghadi Zubair nawaz Department of Computer Science National Textile UniversityFaisalabadPakistan Computer Sciences Department College of Computer and Information SciencesPrincess Nourah bint Abdulrahman University(PNU)P.O.Box 84428Riyadh 11671Saudi Arabia Department of Software Engineering and Computer Science Al Ain UniversityAbu DhabiUnited Arab Emirates Department of Data Science University of the PunjabPakistan

Social media provide digitally interactional technologies to facilitate information sharing and exchanging ***,in case of disasters,a massive corpus is placed on platforms such as *** accounts can benefit humanitarian organizations and agencies,but identifying the eyewitness Tweets related to the disaster from millions of Tweets is *** approaches have been developed to address this kind of *** recent state-of-the-art system was based on a manually created dictionary and this approach was further refined by introducing linguistic ***,these approaches suffer from limitations as they are dataset-dependent and not *** this paper,we proposed a method to identify eyewitnesses from *** experiment,we utilized 13 features discovered by the pioneer of this domain and can classify the tweets to determine the *** each feature,a dictionary of words was created with the Word Dictionary Maker algorithm,which is the crucial contribution of this *** algorithm inputs some terms relevant to a specific feature for its initialization and then creates the words ***,keyword matching for each feature in tweets is *** a feature exists in a tweet,it is termed as 1;otherwise,***,for 13 features,we created a file that reflects features in each *** classify the tweets based on features,Naïve Bayes,Random Forest,and Neural Network were *** approach was implemented on different disasters like earthquakes,floods,hurricanes,and Forest *** results were compared with the state-of-the-art linguistic rule-based system with 0.81 F-measure *** the same time,the proposed approach gained a 0.88 value of *** results were comparable as the proposed approach is not ***,it can be used for the identification of eyewitness accounts.

关键词： Word dictionary social media eyewitness identification disasters

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National guidelines for the diagnosis and treatment of hilar cholangiocarcinoma

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World Journal of Gastroenterology 2024年第9期30卷 1018-1042页

作者： 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 Department of Hepatopancreatic Biliary Surgery&Liver Transplant Pakistan Kidney and Liver Institute&Research CentreLahore 54000Pakistan Department of Hepatogastroenterology and Liver Transplantation Dr.Ziauddin University HospitalKarachi 75600SindhPakistan University of Aberdeen Aberdeen B243FXUnited Kingdom Department of Pathology Pakistan Kidney and Liver Institute&Research CentreLahore 54000Pakistan Department of Gastroenterology&Hepatology Pakistan Kidney and Liver Institute&Research CentreLahore 54000Pakistan Department of Radiology Aga Khan UniversityKarachi 74800Pakistan Department of Oncology Hameed Latif HospitalLahore 54000Pakistan Division of Hepatopancreatic Biliary Surgery&Liver Transplantation Shifa International HospitalIslamabad 44000Pakistan Department of Hepatopancreatic Biliary Surgery&Liver Transplant Shaikh Zayed Hospital and Post Graduate Medical InstituteLahore 54000Pakistan Department of Medicine Aga Khan University HospitalKarachi 74800Pakistan Department of Liver Transplant Pir Abdul Qadir Shah Jeelani Institute of Medical SciencesGambat 66020Pakistan Department of Medicine&Gastroenterology Lifecare Hospital and Research CentrePeshawar 25000Khyber PakhtunkhwaPakistan Department of Hepatopancreatobiliary&Liver Transplant Bahria International HospitalLahore 54000Pakistan Department of Surgery Hepatopancreatobiliary&Liver TransplantDow University of Health SciencesKarachi 74800Pakistan Department of Gastroenterology Hepatology&NutritionPir Abdul Qadir Shah Jeelani Institute of Medical SciencesGambat 66020Pakistan Department of Oncology Dr.Ziauddin HospitalKarachi 74800Pakistan Department of Radiology Rehman Medical InstitutePeshawar 25000Pakistan Army Liver Transplant Unit Pak Emirates Military HospitalRawalpindi 46000Pakistan Department of Gastroenterology Sindh Institute of Urology and TransplantationKarachi 75500Pakistan Rashid Nursing Home and Cancer Clinic Rashid Nursing Home and Cancer ClinicRawalpindi 46000Pakistan Department of Gastroentero

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 *** Pakistan Society for the Study of Liver Diseases(PSSLD)and PKLI&RC jointly organised 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 *** coordinated effort can minimise delays and give patients a chance for curative treatment and effective *** diagnostic and staging workup includes high-quality computed tomography,magnetic resonance imaging,and magnetic resonance *** cytology or biopsy utilizing endoscopic retrograde cholangiopancreatography is a mainstay for ***,histopathologic confirmation is not always required before *** ultrasound with fine needle aspiration of regional lymph nodes and positron emission tomography scan are valuable adjuncts for *** only curative treatment is the surgical resection of the biliary tree based on the Bismuth-Corlette *** patients with unresectable hCCA can be considered for liver *** chemotherapy should be offered to patients with a high risk of *** use of preoperative biliary drainage and the need for portal vein embolisation should be based on local multidisciplinary *** with acute cholangitis can be drained with endoscopic or percutaneous biliary *** chemotherapy with cisplatin and gemcitabine has shown improved survival in patients with irresectable and recurrent hCCA.

关键词： Hilar cholangiocarcinoma Bismuth-Corlette classification Memorial Sloan Kettering Cancer Centre Staging Preoperative biliary drainage Portal vein embolisation Surgical resection Hepatectomy

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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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The Strategic Form of Quantum Prisoners' Dilemma

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Chinese Physics Letters 2013年第5期30卷 4-9页

作者： ahmad nawaz National Centre for Physics Quaid-i-Azam University CampusIslamabad 45320Pakistan

In a normal form, prisoners' dilemma (PD) is represented by a payoff matrix showing players' strategies and payoffs. To obtain the distinguishing trait and strategic form of PD, certain constraints are imposed on the elements of its payoff matrix. We quantize PD by a generalized quantization scheme to analyze its strategic behavior in the quantum domain. The game starts with a general entangled state of the form |ψ>=cos(ξ/2)|00>+sin(ξ/2)|11> and the measurement for payoffs is performed in entangled and product bases. We show that for both measurements, there exist respective cutoff values of entanglement of the initial quantum state up to which the strategic form of the game remains intact. Beyond these cutoffs the quantized PD behaves like the chicken game (CG) up to another cutoff value. For the measurement in the entangled basis the dilemma is resolved for sinξ >1/7 with Q⊗Q as a Nash Equilibrium (NE). However, the quantized game behaves like PD when sinξ >1/3;whereas in the range 1/7

关键词： bases behave strategic

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Quantum State Tomography and Quantum Games

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Chinese Physics Letters 2012年第3期29卷 37-40页

作者： ahmad nawaz National Centre for Physics Quaid-i-Azam University CampusIslamabadPakistan

A technique is developed for single qubit quantum state tomography using the mathematical setup of generalized quantization scheme for *** this technique,Alice sends an unknown pure quantum state to Bob who appends it with|0><0|and then applies the unitary operators on the appended quantum state and finds the payoffs for Alice and *** is shown that for a particular set of unitary operators,these payoffs are equal to Stokes parameters for an unknown quantum *** this way an unknown quantum state can be measured and *** speaking,this technique is not a game as no strategic competitions are involved.

关键词： state quantum operators

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Deep Learning ResNet101 Deep Features of Portable Chest X-Ray Accurately Classify COVID-19 Lung Infection

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Computers, Materials & Continua 2023年第6期75卷 5213-5228页

作者： Sobia nawaz Sidra Rasheed Wania Sami Lal Hussain Amjad Aldweesh Elsayed Tag eldin Umair ahmad Salaria Mohammad Shahbaz Khan Basic Health Unit Sumra Lodhran59320Pakistan Basic Health Unit 20-G ChishtianBahawalnagar62300Pakistan Doctor’s Hospital Lahore54590Pakistan Department of Computer Science&IT Neelum CampusThe University of Azad Jammu and KashmirAthmuqam13230Azad KashmirPakistan Department of Computer Science&IT King Abdullah CampusThe University of Azad Jammu and KashmirMuzaffarabad13100Azad KashmirPakistan College of Computer science and information technology Shaqra UniversityShaqra15273Saudi Arabia Faculty of Engineering and Technology Future University in EgyptNew Cairo11835Egypt Department of Electrical Engineering University of Azad Jammu and KashmirChehla CampusMuzaffarabad13100Azad KashmirPakistan Department of Electrical Engineering Mirpur University of Science&TechnologyMirpurMuzaffarabad10250Azad KashmirPakistan Children’s National Hospital 111 Michigan AVE NWWashingtonDC20854USA

This study is designed to develop Artificial Intelligence(AI)based analysis tool that could accurately detect COVID-19 lung infections based on portable chest x-rays(CXRs).The frontline physicians and radiologists suffer from grand challenges for COVID-19 pandemic due to the suboptimal image quality and the large volume of *** this study,AI-based analysis tools were developed that can precisely classify COVID-19 lung *** available datasets of COVID-19(N=1525),non-COVID-19 normal(N=1525),viral pneumonia(N=1342)and bacterial pneumonia(N=2521)from the Italian Society of Medical and Interventional Radiology(SIRM),Radiopaedia,The Cancer Imaging Archive(TCIA)and Kaggle repositories were taken.A multi-approach utilizing deep learning ResNet101 with and without hyperparameters optimization was ***,the fea-tures extracted from the average pooling layer of ResNet101 were used as input to machine learning(ML)algorithms,which twice trained the learning *** ResNet101 with optimized parameters yielded improved performance to default *** extracted features from ResNet101 are fed to the k-nearest neighbor(KNN)and support vector machine(SVM)yielded the highest 3-class classification performance of 99.86%and 99.46%,*** results indicate that the proposed approach can be bet-ter utilized for improving the accuracy and diagnostic efficiency of *** proposed deep learning model has the potential to improve further the efficiency of the healthcare systems for proper diagnosis and prognosis of COVID-19 lung infection.

关键词： COVID-19 deep learning(DL) lung infection convolutional neural network(CNN)

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Influence of absorber doping in a-SiC:H/a-Si:H/a-SiGe:H solar cells

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Journal of Semiconductors 2012年第4期33卷 1-6页

作者： Muhammad nawaz Ashfaq ahmad University Graduate Centre(UNIK) Gunnar Randers Vei 19P.O.Box 70N-2027 KjellerNorway COMSATs Institute of Information Technology Off-Raiwand RoadLahore-54000Pakistan

This work deals with the design evaluation and influence of absorber doping for aSi：H/aSiC：H/a SiGe：H based thinfilm solar cells using a twodimensional computer aided design （TCAD） tool. Various physical parameters of the layered structure, such as doping and thickness of the absorber layer, have been studied. For reliable device simulation with realistic predictability, the device performance is evaluated by implementing nec essary models （e.g., surface recombinations, thermionic field emission tunneling model for carrier transport at the heterojunction, SchokleyRead Hall recombination model, Auger recombination model, bandgap narrowing ef fects, doping and temperature dependent mobility model and using FermiDirac statistics）. A single absorber with a graded design gives an efficiency of 10.1% for 800 nm thick multiband absorption. Similarly, a tandem design shows an efficiency of 10.4% with a total absorber of thickness of 800 nm at a bandgap of 1.75 eV and 1.0 eV for the top aSi and bottom aSiGe component cells. A moderate ndoping in the absorber helps to improve the efficiency while p doping in the absorber degrades efficiency due to a decrease in the Voc （and fill factor） of the device.

关键词： solar cells modeling TCAD amorphous silicon HIT cells

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Evolutionarily Stable Strategies in Quantum Hawk-Dove Game

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Chinese Physics Letters 2010年第5期27卷 12-15页

作者： ahmad nawaz A. H. Toor National Centre for Physics Quaid-i-Azam University Campus Islamabad Pakistan Department of Physics Quaid-i-Azam University Islamabad 45320 Pakistan

We quantize the Hawk-Dove game by using the most general form of a pure initial state to investigate the existence of pure and mixed evolutionarily stable strategies （ESS）. An example is considered to draw a comparison between the classical and quantum version of the game. Our choice of the most general initial quantum state enables us to make the game symmetric or asymmetric. We show that for a particular set of game parameters where there exists only mixed ESS in the classical version of the game, quantization allows even a pure strategy to be an ESS for the symmetric game in addition to mixed ESS. On the other hand only pure strategy ESS can exist for the asymmetric quantum version of the Hawk-Dove game.

关键词： Dove game game pure

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