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您的检索式：作者名="Subhajit Chatterjee"
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| 1 | Generating Time-Series Data Using Generative Adversarial Networks for Mobility Demand Prediction显示文摘The increasing penetration rate of electric kickboard vehicles has been popularized and promoted primarily because of its clean and efficient features.Electric kickboards are gradually growing in popularity in tourist and education-centric localities.In the upcoming arrival of electric kickboard vehicles,deploying a customer rental service is essential.Due to its freefloating nature,the shared electric kickboard is a common and practical means of transportation.Relocation plans for shared electric kickboards are required to increase the quality of service,and forecasting demand for their use in a specific region is crucial.Predicting demand accurately with small data is troublesome.Extensive data is necessary for training machine learning algorithms for effective prediction.Data generation is a method for expanding the amount of data that will be further accessible for training.In this work,we proposed a model that takes time-series customers’electric kickboard demand data as input,pre-processes it,and generates synthetic data according to the original data distribution using generative adversarial networks(GAN).The electric kickboard mobility demand prediction error was reduced when we combined synthetic data with the original data.We proposed Tabular-GAN-Modified-WGAN-GP for generating synthetic data for better prediction results.We modified The Wasserstein GAN-gradient penalty(GP)with the RMSprop optimizer and then employed Spectral Normalization(SN)to improve training stability and faster convergence.Finally,we applied a regression-based blending ensemble technique that can help us to improve performance of demand prediction.We used various evaluation criteria and visual representations to compare our proposed model’s performance.Synthetic data generated by our suggested GAN model is also evaluated.The TGAN-Modified-WGAN-GP model mitigates the overfitting and mode collapse problem,and it also converges faster than previous GAN models for synthetic data creation.The presented model’s performance is compared to existing ensemble and baseline models.The experimental findings imply that combining synthetic and actual data can significantly reduce prediction error rates in the mean absolute percentage error(MAPE)of 4.476 and increase prediction accuracy. | Subhajit Chatterjee Yung-Cheol Byun | 2023 | Computers, Materials & Continua2023，，3： | 0 |
| 2 | Basic Study Hepatitis B virus detected in paper currencies in a densely populated city of India: A plausible source of horizontal transmission?显示文摘BACKGROUND The recent rise in the incidence of hepatitis B virus(HBV)infections in a densely populated city of eastern India(“mixing vessel”of people of varied socioeconomic and immune status)prompted this study.Applying saliva on fingers for enumerating bank notes is a common practice in the Indian subcontinent.Paper notes may be a potential source of“horizontal”transmission of this virus,especially if there are cuts/bruises on the oral mucous membrane or skin.AIM To investigate whether paper currencies could be a plausible mode of horizontal transmission of HBV infection.METHODS Polymerase chain reactions(PCR)followed by nucleotide sequencing was done for the detection of HBV.Hepatitis B virus surface antigen enzyme-linked immunosorbent assay(HBsAg ELISA)was performed on all HBV deoxyribonucleic acid-positive samples to check the detectability of the virus.Atomic force microscopy(AFM)was carried out for visual confirmation of HBV particles in ultracentrifuged/immunoprecipitated samples from currency paper washings.RESULTS HBV-specific PCRs on pellets obtained after ultracentrifugation/immunoprecipitation of the currency paper washings detected potentially intact/viable HBV(genotype D2)in 7.14%of samples(n=70).AFM gave the visual confirmation of HBV particles in ultracentrifuged/immunoprecipitated samples from currency paper washings.However,HBV isolates from the currency notes could not be detected by HBsAg ELISA.CONCLUSION It is a common practice in the Indian subcontinent to count paper currencies by applying saliva on fingertips.Paper notes may be a potential source of“horizontal”transmission of this virus,especially if there are cuts/bruises on the oral mucous membrane or skin,but it was practically not possible to demonstrate experimentally such transmission.Detection of potentially intact/viable and“occult”HBV from currency poses potential risk of silent transmission of this virus among the general population. | Palashpriya Das Ruchi Supekar Ritika Chatterjee Subrata Roy Anisa Ghosh Subhajit Biswas | 2020 | World Journal of Hepatology2020，12，10： | 0 |
| 3 | Author affiliation addition:“Hepatitis B virus detected in paper currencies in a densely populated city of India:A plausible source of horizontal transmission?”显示文摘Addition of authors’affiliation to'Hepatitis B virus detected in paper currencies in a densely populated city of India:A plausible source of horizontal transmission?'World J Hepatol 2020 Oct 27;12(10):775-791.In this article,one of the affiliations of two authors was not mentioned.Ruchi Supekar,a joint first author and Subhajit Biswas,the corresponding author are affiliated to Academy of Scientific and Innovative Research(AcSIR)Ghaziabad-201002,India. | Palashpriya Das Ruchi Supekar Ritika Chatterjee Subrata Roy Anisa Ghosh Subhajit Biswas | 2022 | World Journal of Hepatology2022，14，8： | 0 |
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