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Liver-Tumor Detection Using CNN ResUNet

Computers, Materials & Continua 2021年第5期67卷 1899-1914页

作者： muhammad Sohaib Aslam muhammad Younas muhammad umar sarwar muhammad Arif Shah Atif Khan MIrfan Uddin Shafiq Ahmad muhammad Firdausi Mazen Zaindin Department of Computer Science Government College University FaisalabadFaisalabad38000Pakistan Department of IT and Computer Science Pak-Austria Fachhochschule Institute of Applied Sciences and TechnologyHaripur22620Pakistan Department of Computer Science Islamia College PeshawarPeshawarKPPakistan Institute of Computing Kohat University of Science and TechnologyKohatPakistan Department of Industrial Engineering College of EngineeringKing Saud UniversityRiyadh11421Saudi Arabia Department of Statistics and Operations Research College of ScienceKing Saud UniversityRiyadh11421Saudi Arabia

Liver tumor is the fifth most occurring type of tumor in men and the ninth most occurring type of tumor in women according to recent reports of Global cancer statistics *** are several imaging tests like Computed Tomography(CT),Magnetic Resonance Imaging(MRI),and ultrasound that can diagnose the liver tumor after taking the sample from the tissue of the *** tests are costly and *** paper proposed that image processing through deep learning Convolutional Neural Network(CNNs)ResUNet model that can be helpful for the early diagnose of tumor instead of conventional *** existing studies have mainly used the two Cascaded CNNs for liver segmentation and evaluation of Region Of Interest(ROI).This study uses ResUNet,an updated version of U-Net and ResNet Models that utilize the service of Residential *** apply over method on the 3D-IRCADb01 dataset that is based on CT slices of liver tumor affected *** results showed the True Value Accuracy around 99%and F1 score performance around 95%.This method will be helpful for early and accurate diagnose of the Liver tumor to save the lives of many patients in the field of Biotechnology.

关键词： Liver tumor diagnose ResUNet CNNs segmentation

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Vision based intelligent traffic light management system using Faster R‐CNN

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CAAI Transactions on Intelligence Technology 2024年第4期9卷 932-947页

作者： Syed Konain Abbas muhammad Usman Ghani Khan Jia Zhu Raheem sarwar Naif RAljohani Ibrahim AHameed muhammad Umair Hassan Department of Computer Science and Engineering University of Engineering and TechnologyLahorePakistan Zhejiang Key Laboratory of Intelligent Education Technology and Application Zhejiang Normal UniversityJinhuaChina OTHEM Manchester Metropolitan UniversityManchesterUK Faculty of Computing and Information Technology King Abdulaziz UniversityJeddahSaudi Arabia Department of ICT and Natural Sciences Norwegian University of Science and Technology(NTNU)ÅlesundNorway

Transportation systems primarily depend on vehicular flow on roads. Developed coun-tries have shifted towards automated signal control, which manages and updates signal synchronisation automatically. In contrast, traffic in underdeveloped countries is mainly governed by manual traffic light systems. These existing manual systems lead to numerous issues, wasting substantial resources such as time, energy, and fuel, as they cannot make real‐time decisions. In this work, we propose an algorithm to determine traffic signal durations based on real‐time vehicle density, obtained from live closed circuit television camera feeds adjacent to traffic signals. The algorithm automates the traffic light system, making decisions based on vehicle density and employing Faster R‐CNN for vehicle detection. Additionally, we have created a local dataset from live streams of Punjab Safe City cameras in collaboration with the local police authority. The proposed algorithm achieves a class accuracy of 96.6% and a vehicle detection accuracy of 95.7%. Across both day and night modes, our proposed method maintains an average precision, recall, F1 score, and vehicle detection accuracy of 0.94, 0.98, 0.96 and 0.95, respectively. Our proposed work surpasses all evaluation metrics compared to state‐of‐the‐art methodologies.

关键词： access control artificial intelligence computer vision intelligent control

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Role of intravascular ultrasound and optical coherence tomography in intracoronary imaging for coronary artery disease:a systematic review

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Journal of Geriatric Cardiology 2024年第1期21卷 104-129页

作者： Maruf sarwar Stephen Adedokun Mahesh Anantha Narayanan Department of Cardiovascular Sciences White River HealthBatesvilleARUSA Division of Cardiology University of Tennessee at MemphisTNUSA University of Arkansas Medical Sciences Little RockARUSA

Coronary angiography has long been the standard for coronary imaging,but it has limitations in assessing vessel wall anatomy and guiding percutaneous coronary intervention(PCI).Intracoronary imaging techniques like intravascular ultrasound(IVUS)and optical coherence tomography(OCT)can overcome these *** uses ultrasound and OCT uses near-infrared light to visualize coronary pathology in unique ways due to differences in temporal and spatial *** techniques have evolved to offer clinical utility in plaque characterization and vessel assessment during ***-analyses and adjusted observational studies suggest that both IVUS and OCT-guided PCI correlate with reduced cardiovascular risks compared to angiographic guidance *** IVUS demonstrates consistent clinical outcome benefits,OCT evidence is less *** has progressed from early motion detection to high-resolution systems,with smaller compatible *** utilizes near infrared light to achieve unparalleled resolutions,but requires temporary blood clearance for optimal *** visualization and guidance make IVUS and OCT well-suited for higher risk PCI in patients with diabetes and chronic kidney disease by allowing detailed visualization of complex lesions and ensuring optimal stent deployment and positioning in PCI for patients with type 2 diabetes and chronic kidney disease,improving *** and recent advancements in zero-and low-contrast OCT techniques can reduce nephrotoxic contrast exposure,thus helping to minimize PCI complications in these high-risk patient *** and OCT provide valuable insights into coronary pathophysiology and guide interventions precisely compared to angiography *** have comparable clinical outcomes,emphasizing the need for tailored imaging choices based on clinical *** refinement and integration of intravascular imaging will likely play a pivotal role in optimizing coronary interventions and outcomes.

关键词： coronary anatomy limitations

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Mechanical and magneto-electronic properties of europium lanthanide-based cubic perovskites EuYO_(3)(Y=Cr, Mn, Fe): An ab initio study

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Journal of Rare Earths 2024年第3期42卷 562-569,I0005页

作者： Hayat Ullah Azra sarwar Sajad Ali Rabah Khenata Abdelmadjid Bouhemadou Saad Bin-Omran Department of Physics Women University of Azad Jammu&Kashmir Bagh 10250Pakistan Department of Physics Abdul Wali Khan UniversityMardan23200KPPakistan LPQ3M Laboratory Institute of Science and TechnologyUniversity of Mascara29000MascaraAlgeria Laboratory for Developing New Materials and Their Characterization Farhat Abbas University Setif l19000SetifAlgeria Department of Physics and Astronomy College of ScienceKing Saud UniversityP.O.Box 2455Riyadh11451Saudi Arabia

Computational calculations using density functional theory(DFT) were performed for the first time using the full potential linearized augmented plane wave plus local orbital method(FP-LAPW + LO) to determine the structural, elastic, electronic and magnetic properties of europium-based cubic perovskites EuYO_(3)(Y=Cr, Mn, Fe). The exchange correlation potentials of GGA along with some analytical methods were adopted for the computation of structural and elastic properties. Moreover, the GGA + U formalism was also added for obtaining more precise electronic and magnetic properties, particularly to address the Eu-4f and Y-3d orientations in the spin-polarized double cell symmetry. The observed lattice parameters of these compounds are consistent with experiment. The observed bulk moduli predict that EuCrO_(3) is harder and less compressible than EuMnO_(3) and EuFeO_(3). The calculated tolerance factors of these compounds are within the cubic symmetry range. Our computed critical radius of EuCrO_(3) shows that EuCrO_(3) has a larger migration energy. Based on their elastic properties, these compounds are ductile in nature. We also computed the thermal properties of these compounds. The band structures and density of states show that these compounds are metallic in character. The lowest ground state energy and magnetic moments of these compounds expose their ferromagnetic nature. The metallic nature and strong ferromagnetism of these compounds make them promising applicants for application in spintronic.

关键词： Perovskites GGA+U Elastic constants Band structure Magnetic moments Rare earths

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Weber Law Based Approach for Multi-Class Image Forgery Detection

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Computers, Materials & Continua 2024年第1期78卷 145-166页

作者： Arslan Akram Javed Rashid Arfan Jaffar Fahima Hajjej Waseem Iqbal Nadeem sarwar Department of Computer Science Superior UniversityLahore54000Pakistan Information Technology Services University of OkaraOkara56300Pakistan Departmet of Computer Science MLC LabOkara56300Pakistan Department of CS&SE International Islamic UniversityIslamabad44000Pakistan Department of Information Systems College of Computer and Information SciencesPrincess Nourah bint Abdulrahman UniversityRiyadh11671Saudi Arabia Department of Software Engineering Superior UniversityLahore54000Pakistan Department of Computer Science Bahria UniversityLahore CampusLahore54600Pakistan

Today’s forensic science introduces a new research area for digital image analysis formultimedia ***,Image authentication issues have been raised due to the wide use of image manipulation software to obtain an illegitimate benefit or createmisleading publicity by using tempered *** forgery detectionmethods can classify only one of the most widely used Copy-Move and splicing ***,an image can contain one or more types of *** study has proposed a hybridmethod for classifying Copy-Move and splicing images using texture information of images in the spatial ***,images are divided into equal blocks to get scale-invariant *** law has been used for getting texture features,and finally,XGBOOST is used to classify both Copy-Move and splicing *** proposed method classified three types of forgeries,i.e.,splicing,Copy-Move,and ***(CASIA 2.0,MICCF200)and RCMFD datasets are used for training and *** average,the proposed method achieved 97.3% accuracy on benchmarked datasets and 98.3% on RCMFD datasets by applying 10-fold cross-validation,which is far better than existing methods.

关键词： Copy-Move and splicing non-overlapping block division texture features weber law spatial domain xgboost

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BnaWRKY75 positively regulates the resistance against Sclerotinia sclerotiorum in ornamental Brassica napus

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Horticultural Plant Journal 2024年第3期10卷 784-796页

作者： Kexin Yu Yijie Zhang Xiaoyuan Fei Luyue Ma Rehman sarwar Xiaoli Tan Zheng Wang School of Life Sciences Jiangsu UniversityZhenjiangJiangsu 212013China School of Food and Biological Engineering Jiangsu University ZhenjiangJiangsu 212013China Key Laboratory for Theory and Technology of Intelligent Agricultural Machinery and Equipment Jiangsu UniversityZhenjiangJiangsu 212013China

With the development of tourism at home and abroad,Rapeseed(Brassica napus)has become an important ornamental ***,its ornamental value at the inflorescence stage is greatly reduced by Sclerotinia *** of important genes in the defense responses is critical for molecular breeding,which is an important strategy for controlling the *** this study,we isolated a *** WRKY transcription factor gene,***75 was found to encode a nucleus-localized protein and exhibited relatively high expression in the *** thaliana transgenic plants expressing BnaWRKY75 showed enhanced resistance to ***,and both ProBnaWRKY75:GUS and gene expression analyses showed that BnaWRKY75 was highly responsive to *** infection,indicating the involvement of BnaWRKY75 in response to this ***,overexpression(OE)of BnaWRKY75 in *** significantly enhanced the resistance to ***,whereas the resistance was reduced in RNAi transgenic *** ***,the BnaWRKY75-OE *** plants exhibited constitutive activation of salicylic acid-,jasmonic acid-,and ethylene-mediated defense responses and the inhibition of both H_(2)O_(2)and O_(2)·^(-)accumulation in response to this *** contrast,BnaWRKY75-RNAi plants showed a reverse pattern,suggesting that BnaWRKY75 is involved in hormonal signaling pathways and in the control of reactive oxygen species *** conclusion,these data indicate that BnaWRKY75,a regulator of multiple defense responses,positively regulates resistance against ***,which may guide the improvement of resistance in rapeseed.

关键词： Brassica napus BnaWRKY75 Defense response Sclerotinia sclerotiorum

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Impact of Medicaid expansion on kidney transplantation in the State Oklahoma

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World Journal of Transplantation 2024年第3期14卷 110-119页

作者： Hyoshin Kwon Zoya Sandhu Zoona sarwar Oya M Andacoglu Department of Surgery Division of TransplantationOu College of MedicineOK 73104United States Department of Internal Medicine University of OklahomaTulsa School of Community MedicineTulsaOK 74135United States Department of Surgery University of Oklahoma College of MedicineOklahomaOK 73104United States Department of Transplantation and Advanced Hepatobiliary Surgery University of UtahSalt LakeUT 84112United States

BACKGROUND There is no data evaluating the impact of Medicaid expansion on kidney tran-splants(KT)in *** To investigate the impact of Medicaid expansion on KT patients in *** The UNOS database was utilized to evaluate data pertaining to adult KT reci-pients in Oklahoma in the pre-and post-Medicaid *** analysis,Kaplan Meier analysis was used to estimate,and cox proportional models were *** There were 2758 pre-and 141 recipients in the post-Medicaid expansion ***-expansion patients were more often non-United States citizens(2.3%vs 5.7%),American Indian,Alaskan,or Pacific Islander(7.8%vs 9.2%),Hispanic(7.4%vs 12.8%),or Asian(2.5%vs 8.5%)(P<0.0001).Waitlist time was shorter in the post-expansion era(410 vs 253 d)(P=0.0011).Living donor rates,pre-emptive transplants,re-do transplants,delayed graft function rates,kidney donor profile index values,panel reactive antibodies levels,and insurance types were *** with public insurance were more *** increased early(<6 months)rejection rates,1-year patient and graft survival were *** Cox proportional hazards model,male sex,American Indian,Alaskan or Pacific Islander race,public insurance,and frailty category were independent risk factors for death at 1 *** expansion was not associated with graft failure or patient survival(adjusted hazard ratio:1.07;95%CI:0.26-4.41).CONCLUSION Medicaid expansion in Oklahoma is associated with increased KT access for non-White/non-Black and non-United States citizen patients with shorter wait times.1-year graft and patient survival rates were similar before and after *** expansion itself was not independently associated with graft or patient survival *** research is necessary to determine the long-term effects of Medicaid expansion.

关键词： Medicaid expansion Oklahoma Kidney transplant

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Improved Hybrid Deep Collaborative Filtering Approach for True Recommendations

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Computers, Materials & Continua 2023年第3期74卷 5301-5317页

作者： muhammad Ibrahim Imran sarwar Bajwa Nadeem sarwar Haroon Abdul Waheed muhammad Zulkifl Hasan muhammad Zunnurain Hussain Department of Computer Science The Islamia University of BahawalpurBahawalpurPakistan Department of Computer Science Bahria University Lahore CampusLahorePakistan Software Engineering Department Faculty of ITUniversity of Central PunjabLahorePakistan Faculty of Computer Science and Information Technology Universiti Putra MalaysiaSelangorMalaysia

Recommendation services become an essential and hot research topic for researchers *** data such asReviews play an important role in the recommendation of the *** was achieved by deep learning approaches for capturing user and product information from a short ***,such previously used approaches do not fairly and efficiently incorporate users’preferences and product *** proposed novel Hybrid Deep Collaborative Filtering(HDCF)model combines deep learning capabilities and deep interaction modeling with high performance for True *** overcome the cold start problem,the new overall rating is generated by aggregating the Deep Multivariate Rating DMR(Votes,Likes,Stars,and Sentiment scores of reviews)from different external data sources because different sites have different rating scores about the same product that make confusion for the user to make a decision,either product is truly popular or *** proposed novel HDCF model consists of four major modules such as User Product Attention,Deep Collaborative Filtering,Neural Sentiment Classifier,and Deep Multivariate Rating(UPA-DCF+NSC+DMR)to solve the addressed *** results demonstrate that our novel model is outperforming state-of-the-art IMDb,Yelp2013,and Yelp2014 datasets for the true top-n recommendation of products using HDCF to increase the accuracy,confidence,and trust of recommendation services.

关键词： Neural sentiment classification user product attention deep collaborative filtering multivariate rating artificial intelligence

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A Deep Learning Approach for Prediction of Protein Secondary Structure

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Computers, Materials & Continua 2022年第8期72卷 3705-3718页

作者： muhammad Zubair muhammad Kashif Hanif Eatedal Alabdulkreem Yazeed Ghadi muhammad Irfan Khan muhammad Umer sarwar Ayesha Hanif Department of Computer Science Government College UniversityFaisalabadPakistan Department of Computer Science College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh 11671Saudi Arabia Department of Software Engineering/Computer Science Al Ain UniversityAbu DhabiUnited Arab Emirates

The secondary structure of a protein is critical for establishing a link between the protein primary and tertiary *** this reason,it is important to design methods for accurate protein secondary structure *** of the existing computational techniques for protein structural and functional prediction are based onmachine learning with *** deep learning architectures have already been applied to tackle protein secondary structure prediction *** this study,deep learning based models,i.e.,convolutional neural network and long short-term memory for protein secondary structure prediction were *** input to proposed models is amino acid sequences which were derived from CulledPDB *** tuning with cross validation was employed to attain best parameters for the proposed *** proposed models enables effective processing of amino acids and attain approximately 87.05%and 87.47%Q3 accuracy of protein secondary structure prediction for convolutional neural network and long short-term memory models,respectively.

关键词： Convolutional neural network machine learning protein secondary structure deep learning long short-term memory protein secondary structure prediction

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Development of Molecular Marker Linked with Cercospora Leaf Spot (CLS) Disease Resistance in Vigna radiata, Cloning, and Expression for Evaluating Antifungal Activity against Cercospora canescens

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Phyton-International Journal of Experimental Botany 2023年第4期92卷 1289-1300页

作者： Maria Babar Siddra Ijaz Imran Ul Haq muhammad sarwar Khan Centre of Agricultural Biochemistry and Biotechnology(CABB) University of Agriculture FaisalabadFaisalabad38040Pakistan Department of Plant Pathology University of Agriculture FaisalabadFaisalabad38040Pakistan

We developed a molecular marker for MAS of mungbean resistant varieties against CLS from the consensus sequence(MB-CLsRG)of identified RGAs(MB-ClsRCaG1 and MB-ClsRCaG2).The MB-CLsRG sequence-specific primer pair was used to screen Cercospora leaf spot(CLS)resistant varieties of mungbean in genomic analysis that showed congruency with phenotypic *** of molecular marker linkage with CLS resistance was performed using rtPCR in transcriptomic *** sequenced PCR products showed 100%homology with MB-CLsRG sequence and putative disease resistance proteins that confirmed the linkage of molecular marker with CLS resistance in *** antifungal potential of MB-CLsRG gene encoding protein was *** MB-CLsRG gene sequence was cloned in the *** expression vector for recombinant protein *** recombinant protein was then investigated for its in vitro antifungal potential against Cercospora *** in vitro investigation showed strong antifungal activity of recombinant protein as it restricted the growth of fungal mycelial *** results validated the linkage of developed marker with CLS-resistant mungbean varieties;therefore,it can be used to screen resistant varieties from a large population in ***,the recombinant protein of the MB-CLsRG gene sequence revealed antifungal potential,which proved the gene sequence could be suitable to use in transgenic plants technology to develop fungal-resistant transgenic crops.

关键词： Molecular marker mungbean MAS recombinant protein antifungal potential

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