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An efficient deep learning-assisted person re-identification solution for intelligent video surveillance in smart cities

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Frontiers of Computer Science 2023年第4期17卷 83-96页

作者： Muazzam MAQSOOD sadaf yasmin Saira GILLANI Maryam BUKHARI Seungmin RHO Sang-Soo YEO Department of Computer Science COMSATS University IslamabadAttock CampusAttock 43600Pakistan Department of Computer Science Bahria UniversityLahore 54600Pakistan Department of Industrial Security Chung-Ang UniversitySeoul 06974Republic of Korea Department of Computer Engineering Mokwon UniversityDaejeon 35349Republic of Korea

Innovations on the Internet of Everything(IoE)enabled systems are driving a change in the settings where we interact in smart units,recognized globally as smart city ***,intelligent video-surveillance systems are critical to increasing the security of these smart *** precisely,in today’s world of smart video surveillance,person re-identification(Re-ID)has gained increased consideration by *** researchers have designed deep learningbased algorithms for person Re-ID because they have achieved substantial breakthroughs in computer vision *** this line of research,we designed an adaptive feature refinementbased deep learning architecture to conduct person *** the proposed architecture,the inter-channel and inter-spatial relationship of features between the images of the same individual taken from nonidentical camera viewpoints are focused on learning spatial and channel *** addition,the spatial pyramid pooling layer is inserted to extract the multiscale and fixed-dimension feature vectors irrespective of the size of the feature ***,the model’s effectiveness is validated on the CUHK01 and CUHK02 *** compared with existing approaches,the approach presented in this paper achieves encouraging Rank 1 and 5 scores of 24.6% and 54.8%,respectively.

关键词： Internet of Everything(IoE) visual surveillance systems big data security systems person re-identification(Re-ID) deep learning

A Smart Heart Disease Diagnostic System Using Deep Vanilla LSTM

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Computers, Materials & Continua 2023年第10期77卷 1251-1279页

作者： Maryam Bukhari sadaf yasmin Sheneela Naz Mehr Yahya Durrani Mubashir Javaid Jihoon Moon Seungmin Rho Department of Computer Science COMSATS University IslamabadAttock CampusAttockPakistan Department of Computer Science COMSATS University IslamabadIslamabadPakistan Department of Computer Science UET TaxilaTaxilaPakistan Department of AI and Big Data Soonchunhyang UniversityAsanKorea Department of Industrial Security Chung-Ang UniversitySeoul06974Korea

Effective smart healthcare frameworks contain novel and emerging solutions for remote disease diagnostics,which aid in the prevention of several diseases including heart-related *** this context,regular monitoring of cardiac patients through smart healthcare systems based on Electrocardiogram(ECG)signals has the potential to save many *** existing studies,several heart disease diagnostic systems are proposed by employing different state-of-the-art methods,however,improving such methods is always an intriguing area of ***,in this research,a smart healthcare system is proposed for the diagnosis of heart disease using ECG *** proposed framework extracts both linear and time-series information on the ECG signals and fuses them into a single framework *** linear characteristics of ECG signals are extracted by convolution layers followed by Gaussian Error Linear Units(GeLu)and time series characteristics of ECG beats are extracted by Vanilla Long Short-Term Memory Networks(LSTM).Following on,the feature reduction of linear information is done with the help of ID Generalized Gated Pooling(GGP).In addition,data misbalancing issues are also addressed with the help of the Synthetic Minority Oversampling Technique(SMOTE).The performance assessment of the proposed model is done over the two publicly available datasets named MIT-BIH arrhythmia database(MITDB)and PTB Diagnostic ECG database(PTBDB).The proposed framework achieves an average accuracy performance of 99.14%along with a 95%recall value.

关键词： Smart systems deep learning ECG signals heart disease concurrent learning LSTM generalized gated pooling

An LSTM Based Forecasting for Major Stock Sectors Using COVID Sentiment

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Computers, Materials & Continua 2021年第4期67卷 1191-1206页

作者： Ayesha Jabeen Sitara Afzal Muazzam Maqsood Irfan Mehmood sadaf yasmin Muhammad Tabish Niaz Yunyoung Nam Department of Computer Science COMSATS University IslamabadAttock CampusPakistan Department of Media Design and Technology Faculty of Engineering&InformaticsUniversity of BradfordBradfordBD71AZUK Department of Smart Device Engineering School of Intelligent Mechatronics EngineeringSejong UniversitySeoulKorea Department of Computer Science&Engineering Soonchunhyang UniversityAsan36538Korea

Stock market forecasting is an important research area,especially for better business decision *** stock predictions continue to be significant for business *** short-term stock market forecasting is usually based on historical market data analysis such as stock prices,moving averages,or daily ***,major events’news also contains significant information regarding market *** effective stock market forecasting system helps investors and analysts to use supportive information regarding the future direction of the stock *** research proposes an efficient model for stock market *** current proposed study explores the positive and negative effects of coronavirus events on major stock sectors like the airline,pharmaceutical,e-commerce,technology,and *** use the Twitter dataset for calculating the coronavirus sentiment with a Long Short-Term Memory(LSTM)model to improve stock *** LSTM has the advantage of analyzing relationship between time-series data through memory *** performance of the system is evaluated by Mean Absolute Error(MAE),Mean Squared Error(MSE),and Root Mean Squared Error(RMSE).The results show that performance improves by using coronavirus event sentiments along with the LSTM prediction model.

关键词： Business intelligence decision making stock prediction long short-term memory COVID-19 event sentiment

Seismic retrofitting of severely damaged RC connections made with recycled concrete using CFRP sheets

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Frontiers of Structural and Civil Engineering 2020年第2期14卷 554-568页

作者： yasmin MURAD Wassel AL BODOUR Ahmed ASHTEYAT Civil Engineering Department The University of JordanAmman 11942.Jordan

An experimental and numerical program is carried out in this research to investigate the influence of CFRP sheets on the cyclic behavior of unconfined connections made with recycled *** is partially replaced by silica fume,iron flling and pulverised fuel ash using two different percentages:15%and 20%.Each specimen is partially loaded at the first stage and then specimens are repaired using CFRP *** repaired specimens are then laterally loaded until *** addition,a finite element model is built in ABAQUS and verfed using the experimental *** experimental results have shown that the repaired specimens have regained almost double the capacity of the un-repaired specimens and hence the adopted repair configuration is recommended for retroftting seismically vulnerable RC *** cement replacement percentage by silica fume,fuel ash or iron flling from 15%to 20%has reduced joint carrying capacity and weakened the *** is recommended using 15%pulverised fuel ash or silica fume as cement partial replacement to enhance the strength and ultimate drift of beam-column joints under cyclic *** filling concrete is also recommended but the enhancement is relatively less than that found with pulverised fuel ash concrete and silica fume concrete.

关键词： retrofitting CFRP sheets recycled concrete pulverised fuel ash silica fume cyclic beam-column connections

Transacting Memory in the Digital Age:Modernity, Fluidity and Immateriality

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Fudan Journal of the Humanities and Social Sciences 2018年第4期11卷 453-464页

作者： yasmin Ibrahim Queen Mary University of London LondonUK

The incessant flow of,content and data through digital platforms implicates humanity to immaterial modes of transacting identity and *** the image of the "Napalm Girl"this paper traces the ways in which iconic images and memory can be remediated through social media platforms and *** re-contextualisation of history and memory through a technological gaze implicates us within new forms of *** reviewing the politics of looking and watching online in digital platforms,the paper invites us to ponder over the flattening of memory and history through algorithms and a "digital morality"and "mortality"encoded through "user agreements"and "community standards".The repressing of this moral gaze weaves us into a social media economy where morality and ethics are refashioned through a viral economy where images are circulated, altered and reframed through digital *** wider implications of this "virality"for humanity,memory making and historicity are explored.

关键词： Fluidity Immateriality Modernity Algorithms Social memory

Genome constitution for Musa beccarii (Musaceae) varieties

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植物分类学报 2007年第1期45卷 69-74页

作者： Markku HKKINEN Chee How TEO yasmin Rofina OTHMAN Botanic Garden University of Helsinki P. O. Box 44 (Jyrngntie 2) FI-00014 Finland Department of Biology University of Leicester University Road Leicester LE1 7RH United Kingdom Institute of Biological Sciences University of Malaya 50603 Kuala Lumpur Malaysia

Musa beccarii *** var. beccarii and Musa beccarii *** var. hottana H?kkinen were described earlier in Acta Phytotaxonomica et Geobotanica based on their morphological characteristics. In order to distinguish the genomes between the two M. beccarii varieties and M. coccinea Andrews, we have now studied them with the Inter- Retrotransposon Amplified Polymorphism (IRAP) marker analyses. The high levels of IRAP polymorphism detected in this study showed that M. beccarii var. beccarii and M. beccarii var. hottana are two distinct varieties. Additional IRAP bands found in M. beccarii var. beccarii indicated that M. beccarii var. hottana might be evolutionarily more ancient than M. beccarii var. beccarii because LTR retrotransposons are not transpositionally removed.

关键词： genome constitution inter-retrotransposon amplified polymorphism Musa beccarii var. beccarii Musa beccarii var. hottana Musa coccinea phylogenetic analysis.

Emerging role of biosimilars in the clinical care of inflammatory bowel disease patients

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World Journal of Clinical Cases 2022年第14期10卷 4327-4333页

作者： Hala Najeeb Farah yasmin Salim Surani Department of Internal Medicine Dow University of Health SciencesKarachi 74200Pakistan Department of Medicine Texas A&M UniversityCollege StationTX 77843United States Department of Anesthesiology Mayo ClinicRochesterMN 55905United States

The increasing incidence of inflammatory bowel disease(IBD)globally has redirected the healthcare system's focus towards safe and affordable pharmacological *** inception of anti-tumor necrosis factor-α(TNF-α)had resulted in a trend shift from surgical ***,as the patents of approved anti-TNF-αdrugs expire,biological copies of the many approved products are in the *** most commonly used biosimilar for IBD has been infliximab,followed by Adalimumab biosimilars which have been approved in major countries across the *** biosimilars are approved on the basis of similarity of their reference product,the lack of real-world evidence of its safety in ulcerative colitis and Crohn’s disease patients has contributed to physicians’***,biosimilars are expected to reduce treatment costs and provide economic benefits.

关键词： Inflammatory bowel disease Biosimilars Anti-tumor necrosis factor Infliximab Adalimumab Ulcerative colitis Chrons disease

MicroRNA in pancreatic ductal adenocarcinoma and its precursor lesions

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World Journal of Gastrointestinal Oncology 2016年第1期8卷 18-29页

作者： yasmin g hernandez aimee l lucas department of internal medicine icahn school of medicine at mount sinaiNew YorkNY 10029United States henry janowitz division of gastroenterology icahn school of medicine at mount sinaiNew YorkNY 10029United States

Pancreatic ductal adenocarcinoma(PDAC) is the 4^(th) deadliest cancer in the United States, due to its aggressive nature, late detection, and resistance to chemotherapy. The majority of PDAC develops from 3 precursor lesions, pancreatic intraepithelial lesions(PanIN), intraductual papillary mucinous neoplasm(IPMN), and mucinous cystic neoplasm. Early detection and surgical resection can increase PDAC 5-year survival rate from 6% for Stage Ⅳ to 50% for Stage Ⅰ. To date, there are no reliable biomarkers that can detect PDAC. MicroRNAs(miRNA) are small noncoding RNAs(18-25 nucleotides) that regulate gene expression by affecting translation of messenger RNA(mRNA). A large body of evidence suggests that miRNAs are dysregulated in various types of cancers. MiRNA has been profiled as a potential biomarker in pancreatic tumor tissue, blood, cyst fluid, stool, and saliva. Four mi RNA biomarkers(miR-21, miR-155, miR-196, and miR-210) have been consistently dysregulated in PDAC. MiR-21, miR-155, and miR-196 have also been dysregulated in IPMN and PanIN lesions suggesting their use as early biomarkers of this disease. In this review, we explore current knowledge of miRNA sampling, miR NA dysregulation in PDAC and its precursor lesions, and advances that have been made in using miRNA as a biomarker for PDAC and its precursor lesions.

关键词： Pancreatic cancer MicroRNA Biomarkers Pancreatic intraepithelial lesions Intraductal papillarymucinous neoplasm

Peristaltic flow of Johnson-Segalman fluid in asymmetric channel with convective boundary conditions

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Applied Mathematics and Mechanics(English Edition) 2014年第6期35卷 697-716页

作者： H.yasmin T.HAYAT A.ALSAEDI H.H.ALSULAMI Department of Mathematics Quaid-i-Azam University Nonlinear Analysis and Applied Mathematics (NAAM) Research Group Faculty of Science King Abdulaziz University

This work is concerned with the peristaltic transport of the Johnson-Segalman fluid in an asymmetric channel with convective boundary conditions. The mathematical modeling is based upon the conservation laws of mass, linear momentum, and energy. The resulting equations are solved after long wavelength and low Reynolds number are used. The results for the axial pressure gradient, velocity, and temperature profiles are obtained for small Weissenberg number. The expressions of the pressure gra-dient, velocity, and temperature are analyzed for various embedded parameters. Pumping and trapping phenomena are also explored.

关键词： asymmetric channel convective condition pumping and trapping Johnson-Segalman fluid