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A systematic survey on deep learning and machine learning approaches of fake news detection in the pre-and post-COVID-19 pandemic

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International Journal of Intelligent Computing and Cybernetics 2021年第4期14卷 617-646页

作者： Rajshree Varma Yugandhara Verma priya vijayvargiya Prathamesh P.Churi Computer Engineering Narsee Monjee Institute of Management and Higher StudiesMumbaiIndia

Purpose-The rapid advancement of technology in online communication and fingertip access to the Internet has resulted in the expedited dissemination of fake news to engage a global audience at a low cost by news channels,freelance reporters and *** the coronavirus disease 2019(COVID-19)pandemic,individuals are inflicted with these false and potentially harmful claims and stories,which may harm the vaccination *** studies reveal that the human ability to detect deception is only slightly better than chance;therefore,there is a growing need for serious consideration for developing automated strategies to combat fake news that traverses these platforms at an alarming *** paper systematically reviews the existing fake news detection technologies by exploring various machine learning and deep learning techniques pre-and post-pandemic,which has never been done before to the best of the authors’***/methodology/approach-The detailed literature review on fake news detection is divided into three major *** authors searched papers no later than 2017 on fake news detection approaches on deep learning andmachine *** paperswere initially searched through theGoogle scholar platform,and they have been scrutinized for *** authors kept“Scopus”and“Web of Science”as quality indexing *** research gaps and available databases,data pre-processing,feature extraction techniques and evaluationmethods for current fake news detection technologies have been explored,illustrating them using tables,charts and ***-The paper is dissected into two approaches,namely machine learning and deep learning,to present a better understanding and a clear ***,the authors present a viewpoint on which approach is better and future research trends,issues and challenges for researchers,given the relevance and urgency of a detailed and thorough analysis of existing *** paper also delves into fake new detec

关键词： Fake news detection Machine learning Deep learning Artificial intelligence Natural language processing COVID-19 Social media Misinformation

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Boundary Element Modeling of Multiconnected Ocean Basin in Visakhapatnam Port Under the Resonance Conditions

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China Ocean Engineering 2021年第5期35卷 662-675页

作者： Prashant KUMAR Prachi priya RAJNI Department of Applied Sciences National Institute of Technology DelhiDelhi 110040India Jindal Global Business School O P Jindal Global UniversitySonipatHaryana 131001India

A mathematical model has been developed to analyze the influence of extreme water waves over multiconnected regions in Visakhapatnam Port,India by considering an average water depth in each multiconnected *** addition,partial reflection of incident waves on coastal boundary is also *** domain of interest is divided mainly into two regions,i.e.,open sea region and harbor region namely as Region-I and Region-II,***,Region-II is divided into multiple connected *** 2-D boundary element method(BEM)including the Chebyshev point discretization is utilized to solve the Helmholtz equation in each region separately to determine the wave *** numerical convergence is performed to obtain the optimum numerical accuracy and the validation of the current numerical approach is also conducted by comparing the simulation results with existing *** four key spots based on the moored ship locations in Visakhapatnam Port are identified to perform the numerical *** wave amplification at these locations is estimated for monochromatic incident waves,considering approximate water depth and different reflection coefficients on the wall of port under the resonance *** addition,wave field analysis inside the Visakhapatnam Port is also conducted to understand resonance *** current numerical model provides an efficient tool to analyze the amplification on any realistic ports or harbors.

关键词： boundary element method amplification factor Helmholtz equation reflection coefficient Visakhapatnam Port

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Mathematical Modeling of Moored Ship Motion in Arbitrary Harbor utilizing the Porous Breakwater

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China Ocean Engineering 2023年第5期37卷 738-752页

作者： Prachi priya Prashant Kumar Gulshan Rajni Government Model Sanskriti Senior Secondary School Ganaur Sonipat 131101India Department of Applied Sciences(Mathematics) National Institute of TechnologyDelhi 110036India JindalGobal Business School O.P.Jindal Global UniversitySonepat 131001India

The motion of the moored ship in the harbor is a classical hydrodynamics problem that still faces many challenges in naval operations,such as cargo transfer and ship pairings between a big transport ship and some small ships.A mathematical model is presented based on the Laplace equation utilizing the porous breakwater to investigate the moored ship motion in a partially absorbing/reflecting *** motion of the moored ship is described with the hydrodynamic forces along the rotational motion(roll,pitch,and yaw)and translational motion(surge,sway,and heave).The efficiency of the numerical method is verified by comparing it with the analytical study of Yu and Chwang(1994)for the porous breakwater,and the moored ship motion is compared with the theoretical and experimental data obtained by Yoo(1998)and Takagi et al.(1993).Further,the current numerical scheme is implemented on the realistic Visakhapatnam Fishing port,India,in order to analyze the hydrodynamic forces on moored ship motion under resonance *** model incorporates some essential strategies such as adding a porous breakwater and utilizing the wave absorber to reduce the port’s *** has been observed that these tactics have a significant impact on the resonance inside the port for safe maritime ***,the current numerical model provides an efficient tool to reduce the resonance within the arbitrarily shaped ports for secure anchoring.

关键词： boundary element method Laplace equation porous breakwater partially reflecting/absorbing harbor wall moored ship motion

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Nano structured spinel Co3O4-catalyzed four component reaction:A novel synthesis of Ugi adducts from aryl alcohols as a key reagent

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Chinese Chemical Letters 2017年第7期28卷 1619-1624页

作者： priya Chacko Kalegowda Shivashankar P.G.Department of Chemistry Central College CampusBangalore UniversityBangalore560 001KarnatakaIndia

A simple one pot procedure for the synthesis of α-amino acyl amide with chromone,indole,and napthalene substitution pattern is *** protocol involves the nano structured spinel Co3O4catalysed coupling of aryl alcohols,anilines,carboxylic acids and tert-butyl *** salient features of this protocol were simple procedure,mild reaction condition and high yield.

关键词： Chromone Indole Naphthalene Co3O4 Ugi reaction Multicomponent

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Pathophysiology of alcoholic pancreatitis:An overview

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World Journal of Gastroenterology 2006年第46期12卷 7421-7427页

作者： Parimal Chowdhury priya Gupta Department of Physiology and Biophysics University of Arkansas for Medical sciences Little Rock Arkansas United States

Use of alcohol is a worldwide habit regardless of socio- economic background. Heavy alcohol consumption is a potential risk factor for induction of pancreatitis. The current review cites the updated literature on the alcohol metabolism, its effects on gastrointestinal and pancreatic function and in causing pancreatic injury, genetic predisposition of alcohol induced pancreatitis. Reports describing prospective mechanisms of action of alcohol activating the signal transduction pathways, induction of oxidative stress parameters through the development of animal models are being presented.

关键词： Alcohol Metabolism Pancreatic function Pancreatitis Mechanism of action

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Linear Precoder Design for Correlated Rician Fading Channel Under Imperfect CSI

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China Communications 2023年第9期20卷 160-170页

作者： S.B.M.priya School of Electrical and Electronics Engineering SASTRA Deemed UniversityThanjavur 613401India

In this paper,we have modeled a linear precoder for indoor multiuser multiple input multiple output(MU-MIMO)system with imperfect channel state information(CSI)at *** Rician channel is presumed to be mutually coupled and spatially,temporarily *** imperfection with CSI is primarily due to the channel estimation error at receiver and feedback delay amidst the receiver and transmitter in CSI *** with,the insufficient spacing between the antenna at transmitter and receiver persuades mutual coupling(MC)among the array *** addition,the MIMO channel is presumed to be jointly correlated(Weichselberger correlation model).When we look back on the existing precoder design,it considered spatial correlation alone disregarding joint correlation of antenna array *** all above assumption,we have designed a linear precoder which minimizes mean squared error(MSE)subjected to total transmit power constraint for MUMIMO *** simulation results proven that proposed precoder shows substantial enhancement in bit error rate(BER)performance in comparison with the existing *** mathematical analysis corroborates the simulation results.

关键词： channel estimation error feedback delay MMSE linear precoder mutual coupling spatial cor-relation Weichselberger correlation model

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Ferroptosis:copper-iron connection in cuprizone-induced demyelination

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Neural Regeneration Research 2022年第1期17卷 89-90页

作者： priya Jhelum Samuel David Centre for Research in Neuroscience and Brain Program The Research Institute of the McGill University Health CentreMontrealQCCanada

Redox active metals such as iron,copper,zinc,and manganese play important roles in promoting a variety of biochemical reactions essential for cellular *** is made possible by the ability of these metals to accept and donate *** in the form of iron-sulfur clusters and heme plays a key role in adenosine triphosphate generation in mitochondria as well as numerous other enzymatic *** the other hand.

关键词： function. copper metals

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Optimal Resource Allocation and Quality of Service Prediction in Cloud

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Computers, Materials & Continua 2021年第4期67卷 253-265页

作者： priya Baldoss Gnanasekaran Thangavel Information and Communication Engineering Department Anna UniversityChennaiIndia Department of Computer Science and Engineering Sri Sai Ram Engineering CollegeChennaiIndia RMK Engineering College ChennaiIndia

In the present scenario,cloud computing service provides on-request access to a collection of resources available in remote system that can be shared by numerous *** are in self-administration;consequently,clients can adjust their usage according to their *** usage is estimated and clients can pay according to their *** literature,the existing method describes the usage of various hardware *** of Service(QoS)needs to be considered for ascertaining the schedule and the access of *** with the security arrangement,any additional code is forbidden to ensure the usage of resources complying with ***,all monitoring must be done from the *** overcome the issues,Robust Resource Allocation and Utilization(RRAU)approach is developed for optimizing the management of its cloud *** work hosts a numerous virtual assets which could be expected under the circumstances and it enforces a controlled degree of *** asset assignment calculation is heuristic,which is based on experimental evaluations,RRAU approach with J48 prediction model reduces Job Completion Time(JCT)by 4.75 s,Make Span(MS)6.25,and Monetary Cost(MC)4.25 for 15,25,35 and 45 resources are compared to the conventional methodologies in cloud environment.

关键词： Cloud computing resource utilization robust resource allocation and utilization(RRAU)approach job completion time quality of services monetary cost make span

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Accelerated design and discovery of perovskites with high conductivity for energy applications through machine learning

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npj Computational Materials 2021年第1期7卷 797-808页

作者： Pikee priya N.R.Aluru Department of Mechanical Science and Engineering University of Illinois at Urbana-ChampaignUrbanaILUSA Beckman Institute for Advanced Science and Technology University of Illinois at Urbana-ChampaignUrbanaILUSA

We use machine learning tools for the design and discovery of ABO3-type perovskite oxides for various energy applications,using over 7000 data points from the *** demonstrate a robust learning framework for efficient and accurate prediction of total conductivity of perovskites and their classification based on the type of charge carrier at different conditions of temperature and *** evaluating a set of>100 features,we identify average ionic radius,minimum electronegativity,minimum atomic mass,minimum formation energy of oxides for all B-site,and B-site dopant ions of the perovskite as the crucial and relevant predictors for determining conductivity and the type of charge *** models are validated by predicting the conductivity of compounds absent in the training *** screen 1793 undoped and 95,832 A-site and B-site doped perovskites to report the perovskites with high conductivities,which can be used for different energy applications,depending on the type of the charge carriers.

关键词： perovskite conductivity energy

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Readily available alkylbenzenes as precursors for the one-pot preparation of buta-1,3-dienes under DDQ visible-light photocatalysis in benzotrifluoride

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Organic Chemistry Frontiers 2022年第5期9卷 1395-1402页

作者： Palani Natarajan Deachen Chuskit priya Department of Chemistry&Centre for Advanced Studies in Chemistry Panjab UniversityChandigarh-160014India

Easily accessible alkylbenzenes are highly valuable starting materials and solvents in synthetic organic chemistry for the production of pharmaceuticals,plastics,synthetic rubber,dyes,etc.

关键词： alkyl visible rubber

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