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| 1 | Robust Vehicle Detection Based on Improved You Look Only Once显示文摘Vehicle detection is still challenging for intelligent transportation systems(ITS)to achieve satisfactory performance.The existing methods based on one stage and two-stage have intrinsic weakness in obtaining high vehicle detection performance.Due to advancements in detection technology,deep learning-based methods for vehicle detection have become more popular because of their higher detection accuracy and speed than the existing algorithms.This paper presents a robust vehicle detection technique based on Improved You Look Only Once(RVD-YOLOv5)to enhance vehicle detection accuracy.The proposed method works in three phases;in the first phase,the K-means algorithm performs data clustering on datasets to generate the classes of the objects.Subsequently,in the second phase,the YOLOv5 is applied to create the bounding box,and the Non-Maximum Suppression(NMS)technique is used to eliminate the overlapping of the bounding boxes of the vehicle.Then,the loss function CIoU is employed to obtain the accurate regression bounding box of the vehicle in the third phase.The simulation results show that the proposed method achieves better results when compared with other state-of-art techniques,namely LightweightDilated Convolutional Neural Network(LD-CNN),Single Shot Detector(SSD),YOLOv3 and YOLOv4 on the performance metric like precision,recall,mAP and F1-Score.The simulation and analysis are carried out on PASCAL VOC 2007,2012 and MS COCO 2017 datasets to obtain better performance for vehicle detection.Finally,the RVD-YOLOv5 obtains the results with an mAP of 98.6%and Precision,Recall,and F1-Score are 98%,96.2%and 97.09%,respectively. | Sunil Kumar Manisha Jailia Sudeep Varshney Nitish Pathak Shabana Urooj Nouf Abd Elmunim | 2023 | Computers, Materials & Continua2023，，2： | 0 |
| 2 | A SIQ mathematical model on COVID-19 investigating the lockdown effect显示文摘This research paper aims at studying the impact of lockdown on the dynamics of novel Corona Virus Disease(COVID-19)emerged in Wuhan city of China in December 2019.Perceiving the pandemic situation throughout the world,Government of India restricted international passenger traffic through land check post(Liang,2020)and imposed complete lockdown in the country on 24 March 2020.To study the impact of lockdown on disease dynamics we consider a three-dimensional mathematical model using nonlinear ordinary differential equations.The proposed model has been studied using stability theory of nonlinear ordinary differential equations.Basic reproduction ratio is computed and significant parameters responsible to keep basic reproduction ratio less than one are identified.The study reveals that disease vanishes from the system only if complete lockdown is imposed otherwise disease will always persist in the population.However,disease can be kept under control by implementing contact tracing and quarantine measures as well along with lockdown if lockdown is imposed partially. | Archana Singh Bhadauria Rachana Pathak Manisha Chaudhary | 2021 | Infectious Disease Modelling2021，6，1： | 0 |
| 3 | In vitro gene silencing of independent phosphoglycerate mutase (iPGM) in the filarial parasite Brugia malayi显示文摘Background:The phosphoglycerate mutase(PGM)enzyme catalyzes the interconversion of 2-and 3-phosphoglycerate in the glycolytic/gluconeogenic pathways that are present in the majority of cellular organisms.They can be classified as cofactor-dependent PGM(dPGM)or cofactor-independent PGM(iPGM).Vertebrates,yeasts,and many bacteria have only dPGM,while higher plants,nematodes,archaea,and many other bacteria have only iPGM.A small number of bacteria,including Escherichia coli and certain archaea and protozoa,contain both forms.The silencing of ipgm in Caenorhabditis elegans(C.elegans)has demonstrated the importance of this enzyme in parasite viability and,therefore,its potential as an anthelmintic drug target.In this study,the role of the Brugia malayi(B.malayi)ipgm in parasite viability,microfilaria release,embryogenesis,and in vivo development of infective larvae post-gene silencing was explored by applying ribonucleic acid(RNA)interference studies.Results:The in vitro ipgm gene silencing by small interfering RNA(siRNA)leads to severe phenotypic deformities in the intrauterine developmental stages of female worms with a drastic reduction(~90%)in the motility of adult parasites and a significantly reduced(80%)release of microfilariae(mf)by female worms in vitro.Almost half of the in vitro-treated infective L3 displayed sluggish movement.The in vivo survival and development of siRNA-treated infective larvae(L3)was investigated in the peritoneal cavity of jirds where a~45%reduction in adult worm establishment was observed.Conclusion:The findings clearly suggest that iPGM is essential for both larval and adult stages of B.malayi parasite and that it plays a pivotal role in female worm embryogenesis.The results thus validate the Bm-iPGM as a putative anti-filarial drug target. | Prashant Kumar Singh Susheela Kushwaha Shahab Mohd Manisha Pathak Shailja Misra-Bhattacharya | 2013 | Infectious Diseases of Poverty2013，2，1： | 0 |
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