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Teamwork Optimization with Deep Learning Based Fall Detection for IoT-Enabled Smart Healthcare System

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Computers, Materials & Continua 2023年第4期75卷 1353-1369页

作者： Sarah B.Basahel Saleh Bajaba Mohammad Yamin Sachi nandan Mohanty E.Laxmi Lydia Department of Management Information Systems Faculty of Economics and AdministrationKing Abdulaziz UniversityJeddahSaudi Arabia Department of business Administration Faculty of Economics and AdministrationKing Abdulaziz UniversityJeddah21589Saudi Arabia Department of Management Information Systems Faculty of Economics and AdministrationKing Abdulaziz UniversityJeddah21589Saudi Arabia School of Computer Science&Engineering(SCOPE) VIT-AP UniversityAmaravatiAndhra PradeshIndia Department of Computer Science and Engineering GMR Institute of TechnologyAndhra PradeshRajam 532127India

The current advancement in cloud computing,Artificial Intelligence(AI),and the Internet of Things(IoT)transformed the traditional healthcare system into smart *** services could be enhanced by incorporating key techniques like AI and *** convergence of AI and IoT provides distinct opportunities in the medical *** is regarded as a primary cause of death or post-traumatic complication for the ageing ***,earlier detection of older person falls in smart homes is required to improve the survival rate of an individual or provide the necessary ***,the emergence of IoT,AI,smartphones,wearables,and so on making it possible to design fall detection(FD)systems for smart home *** article introduces a new Teamwork Optimization with Deep Learning based Fall Detection for IoT Enabled Smart Healthcare Systems(TWODLFDSHS).The TWODL-FDSHS technique’s goal is to detect fall events for a smart healthcare ***,the presented TWODL-FDSHS technique exploits IoT devices for the data collection ***,the TWODLFDSHS technique applies the TWO with Capsule Network(CapsNet)model for feature *** last,a deep random vector functional link network(DRVFLN)with an Adam optimizer is exploited for fall event detection.A wide range of simulations took place to exhibit the enhanced performance of the presentedTWODL-FDSHS *** experimental outcomes stated the enhancements of the TWODL-FDSHS method over other models with increased accuracy of 98.30%on the URFD dataset.

关键词： Internet of things smart healthcare deep learning team work optimizer capsnet fall detection

Automated Artificial Intelligence Empowered White Blood Cells Classification Model

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Computers, Materials & Continua 2023年第4期75卷 409-425页

作者： Mohammad Yamin Abdullah M.Basahel Mona Abusurrah Sulafah M Basahel Sachi nandan Mohanty E.Laxmi Lydia Faculty of Economics and Administration King Abdulaziz UniversityJeddahSaudi Arabia Department of Management Information Systems College of Business AdministrationTaibah UniversityAl-MadinahSaudi Arabia E-commerce Department College of Administrative and Financial SciencesSaudi Electronic UniversityJeddahSaudi Arabia School of Computer Science&Engineering(SCOPE) VIT-AP UniversityAmaravatiAndhra PradeshIndia Department of Computer Science and Engineering Vignan’s Institute of Information Technology(Autonomous)VisakhapatnamAndhra Pradesh530049India

White blood cells (WBC) or leukocytes are a vital component ofthe blood which forms the immune system, which is accountable to fightforeign elements. The WBC images can be exposed to different data analysisapproaches which categorize different kinds of WBC. Conventionally, laboratorytests are carried out to determine the kind of WBC which is erroneousand time consuming. Recently, deep learning (DL) models can be employedfor automated investigation of WBC images in short duration. Therefore,this paper introduces an Aquila Optimizer with Transfer Learning basedAutomated White Blood Cells Classification (AOTL-WBCC) technique. Thepresented AOTL-WBCC model executes data normalization and data augmentationprocess (rotation and zooming) at the initial stage. In addition,the residual network (ResNet) approach was used for feature extraction inwhich the initial hyperparameter values of the ResNet model are tuned by theuse of AO algorithm. Finally, Bayesian neural network (BNN) classificationtechnique has been implied for the identification of WBC images into distinctclasses. The experimental validation of the AOTL-WBCC methodology isperformed with the help of Kaggle dataset. The experimental results foundthat the AOTL-WBCC model has outperformed other techniques which arebased on image processing and manual feature engineering approaches underdifferent dimensions.

关键词： White blood cells cell engineering computational intelligence image classification transfer learning

Deep Learning Based License Plate Number Recognition for Smart Cities

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Computers, Materials & Continua 2022年第1期70卷 2049-2064页

作者： T.Vetriselvi E.Laxmi Lydia Sachi nandan Mohanty Eatedal Alabdulkreem Shaha Al-Otaibi Amal Al-Rasheed Romany F.Mansour Department of Computer Science and Engineering K.Ramakrishnan College of TechnologyTrichy620002India Computer Science and Engineering Vignan’s Institute of Information TechnologyVisakhapatnam530049India Department of Computer Science&Engineering Vardhaman College of Engineering(Autonomous)Hyderabad501218India Department of Informatics and Computing Singidunum UniversitySerbia Computer Science Department College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11564Saudi Arabia Information Systems Department College of Computer and Information SciencesPrincess Nourah Bint Abdulrahman UniversityRiyadh11564Saudi Arabia Department of Mathematics Faculty of ScienceNew Valley UniversityEl-Kharga72511Egypt

Smart city-aspiring urban areas should have a number of necessary elements in place to achieve the intended *** controlling and management of traffic conditions,increased safety and surveillance,and enhanced incident avoidance and management should be top priorities in smart city *** the same time,Vehicle License Plate Number Recognition(VLPNR)has become a hot research topic,owing to several real-time applications like automated toll fee processing,traffic law enforcement,private space access control,and road traffic *** VLPNR is a computer vision-based technique which is employed in the recognition of automobiles based on vehicle number *** current research paper presents an effective Deep Learning(DL)-based VLPNR called DLVLPNR model to identify and recognize the alphanumeric characters present in license *** proposed model involves two main stages namely,license plate detection and Tesseract-based character *** detection of alphanumeric characters present in license plate takes place with the help of fast RCNN with Inception V2 ***,the characters in the detected number plate are extracted using Tesseract Optical Character Recognition(OCR)*** performance of DL-VLPNR model was tested in this paper using two benchmark databases,and the experimental outcome established the superior performance of the model compared to other methods.

关键词： Deep learning smart city tesseract computer vision vehicle license plate recognition

An Optimal Deep Learning for Cooperative Intelligent Transportation System

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Computers, Materials & Continua 2022年第7期72卷 19-35页

作者： K.Lakshmi Srinivas Nagineni E.Laxmi Lydia A.Francis Saviour Devaraj Sachi nandan Mohanty Irina V.Pustokhina Denis A.Pustokhin Department of Computer Science and Engineering Periyar Maniammai Institute of Science&TechnologyThanjavur613403India Department of Computer Science and Engineering KG Reddy College of Engineering and TechnologyTelangana500075India Department of Computer Science and Engineering Vignan’s Institute of Information Technology(Autonomous)Visakhapatnam530049India Department of Computer Science and Engineering Kalasalingam Academy of Research and EducationKrishnankoil626128India Department of Computer Engineering College of Engineering PunePuneMaharashtra411005India Department of Entrepreneurship and Logistics Plekhanov Russian University of EconomicsMoscow117997Russia Department of Logistics State University of ManagementMoscow109542Russia

Cooperative Intelligent Transport System(C-ITS)plays a vital role in the future road traffic management system.A vital element of C-ITS comprises vehicles,road side units,and traffic command centers,which produce a massive quantity of data comprising both mobility and service-related *** the extraction of meaningful and related details out of the generated data,data science acts as an essential part of the upcoming C-ITS *** the same time,prediction of short-term traffic flow is highly essential to manage the traffic *** to the rapid increase in the amount of traffic data,deep learning(DL)models are widely employed,which uses a non-parametric approach for dealing with traffic flow *** paper focuses on the design of intelligent deep learning based short-termtraffic flow prediction(IDL-STFLP)model for C-ITS that assists the people in various ways,namely optimization of signal timing by traffic signal controllers,travelers being able to adapt and alter their routes,and so *** presented IDLSTFLP model operates on two main stages namely vehicle counting and traffic flow *** IDL-STFLP model employs the Fully Convolutional Redundant Counting(FCRC)based vehicle count *** addition,deep belief network(DBN)model is applied for the prediction of short-term traffic *** further improve the performance of the DBN in traffic flow prediction,it will be optimized by Quantum-behaved bat algorithm(QBA)which optimizes the tunable parameters of *** results based on benchmark dataset show that the presented method can count vehicles and predict traffic flowin real-time with amaximumperformance under dissimilar environmental situations.

关键词： Cooperative intelligent transportation systems traffic flow prediction deep belief network deep learning vehicle counting

Trapped Modes in a Three-Layer Fluid

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Journal of Marine Science and Application 2018年第1期17卷 45-56页

作者： Sunanda Saha Swaroop nandan Bora Department of Mathematics Dayananda Sagar UniversityBangalore 560100India Department of Mathematics Indian Institute of Technology GuwahatiGuwahati 781039India

In this work,trapped mode frequencies are computed for a submerged horizontal circular cylinder with the hydrodynamic set-up involving an infinite depth three-layer incompressible fluid with layer-wise different *** impermeable cylinder is fully immersed in either the bottom layer or the upper *** effect of surface tension at the surface of separation is *** this set-up,there exist three wave numbers:the lowest one on the free surface and the other two on the internal *** each wave number,there exist two modes for which trapped waves *** existence of these trapped modes is shown by numerical *** investigate the variation of these trapped modes subject to change in the depth of the middle layer as well as the submergence *** show numerically that two-layer and single-layer results cannot be recovered in the double and single limiting cases of the density ratios tending to *** existence of trapped modes shows that in general,a radiation condition for the waves at infinity is insufficient for the uniqueness of the solution of the scattering problem.

关键词： Trappedmode Three-layer fluid Cut-off value Multipoles Pycnoclines

A Review on the Role of Low Glycemic Index Foods for Glycemic Control in Chronic Liver Disease

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Food and Nutrition Sciences 2023年第3期14卷 258-276页

作者： Rachana Bhoite nandan Arun Joshi Varalakshmi Lalithya Pratti Vinita Satyavrat Dr. Reddy’s Laboratories Pvt Ltd. Ameerpet Hyderabad India

Liver is an essential organ that maintains fasting and postprandial blood glucose response via various metabolic pathways. The liver function gradually deteriorates in chronic liver disease (CLD) due to inflammation and destruction of liver parenchyma. The development of glucose intolerance and hepatogenous diabetes (HD) in patients with CLD is an inevitable event. Diabetes and CLD can coexist, and function synergistically to cause unfavorable clinical consequences, including poor treatment outcomes and frequent hospitalization. The complications associated with liver disease (malnutrition, hypoglycemia, acute kidney injury, lactic acidosis, etc.) and lack of guidelines limit pharmacological management of HD. Dietary recommendations by The European Society for Clinical Nutrition and Metabolism (ESPEN) guidelines (2019), suggested weight reducing hypocaloric diet along with adequate branched-chain amino acid (BCAA) and micronutrient consumption to improve steatosis and insulin sensitivity in patients with CLD. Dietary glycemic index controls prognosis of obesity, non-alcoholic fatty liver disease (NAFLD) and diabetes. The importance of low GI diet in reducing fasting blood glucose, hepatic glucose influx and fat accumulation, thereby improving weight loss and NAFLD score, is being published in patients with diabetes or liver disease. Several countries have already incorporated GI into their national health policies, for identification of the nutrient value, resulting in establishment of worldwide GI and glycemic load tables for specific food items. However, the apparent complexity of GI and lack of low GI meal choices need to be resolved in order to enhance patient’s quality of life, health and well-being. Low GI nutritional supplements, comprising of balanced proportion of carbohydrate, protein, BCAAs, fibers and micronutrients, may reduce the complexity related to dietary management of HD. The review summarizes the importance of nutritional management in HD with fo

关键词： Chronic Liver Disease Cirrhosis Hepatogenous Diabetes Low Glycemic Index Non-Alcoholic Fatty Liver Disease

Oblique Water Wave Scattering by Bottom Undulation in a Two-layer Fluid Flowing Through a Channel

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Journal of Marine Science and Application 2012年第3期11卷 276-285页

作者： Smrutiranjan Mohapatra Swaroop nandan Bora Department of Mathematics Institute of Chemical Technology Mumbai 400019 India Department of Mathematics Indian Institute of Technology Guwahati Guwahati 781039 India

在在由二层组成的隧道流动的小变丑上的繁殖被考虑的倾斜的波浪(内部波浪) 的问题。上面的液体被假定被一个僵硬的盖上面跳，它是为免费表面的近似，并且更低的被有小变丑的透不过的底部表面下面围住；隧道在水平方向是无界的。假定无... 详细信息

在在由二层组成的隧道流动的小变丑上的繁殖被考虑的倾斜的波浪(内部波浪) 的问题。上面的液体被假定被一个僵硬的盖上面跳，它是为免费表面的近似，并且更低的被有小变丑的透不过的底部表面下面围住；隧道在水平方向是无界的。假定无旋的运动，不安技术被采用由与适当草地功能的介绍合适使用草地不可分的定理在二液体计算速度潜力的一阶的修正。那些功能在以包含代表底部变丑的形状功能 c (x) 的积分计算思考和传播系数帮助。三维的线性水波浪理论为提出相关边界价值问题被利用。底部变丑的二个特殊例子被认为验证结果。正弦曲线涟漪的一个补丁的考虑(让一样的波浪数) 思考系数是比率的摆动的功能的表演两次到涟漪波浪数字的波浪数字的 x 部件。当这比率接近一个时，理论预言在床和接口之间的一个反响的相互作用，并且思考系数变得一涟漪的数字多重。如果这个数字大，事件波浪精力的高思考发生。类似的结果为有不同波浪数字的正弦曲线涟漪的一个补丁被观察。为小入射角，反映的精力与直到 / 的另外的入射角相比是更大的，这也被观察 4。这些理论观察被图形的结果支持。

关键词：水平方向流体流通道波散射反射系数起伏海底线性水波理论

Damping of Oblique Ocean Waves by a Vertical Porous Structure Placed on a Multi-step Bottom

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Journal of Marine Science and Application 2014年第4期13卷 362-376页

作者： Santu Das Swaroop nandan Bora Department of Mathematics Indian Institute of Technology Guwahati Guwahati-781039 India

倾斜的海浪由放在多步底部地形学上的垂直多孔的结构抑制在线性水波浪理论的帮助下被学习。倾斜的波浪的某部分，多孔的结构上的事件，变得被多步底部反映了，多孔的结构，和剩余的宣传进跟随多孔的结构的水媒介。二个盒子被考虑：在跟... 详细信息

倾斜的海浪由放在多步底部地形学上的垂直多孔的结构抑制在线性水波浪理论的帮助下被学习。倾斜的波浪的某部分，多孔的结构上的事件，变得被多步底部反映了，多孔的结构，和剩余的宣传进跟随多孔的结构的水媒介。二个盒子被考虑：在跟随多孔的结构然后跟随多孔的结构的无界的水媒介的一种特殊情况的水媒介从多孔的结构在有限距离放的第一面一稳固的垂直的墙。在两个盒子中，边界价值问题在三不同媒介被建立，是的第一媒介水，是的第二媒介由 p 组成的多孔的结构在每个步骤上面的垂直区域一个和是的第三媒介水再。由沿着 virtualvertical 边界使用匹配的条件，线性方程的一个系统被推出。思考系数和播送进步波浪的无尺寸的振幅的行为由于不同相关参数被学习。由于倾斜的水的繁殖，通过多孔的结构的波浪也是的精力损失执行了。各种各样的参数的效果例如迅速凋落的模式的数字，孔，磨擦因素，结构宽度，步骤和入射角的数字，在思考以后，系数和播送波浪的无尺寸的振幅为两个盒子图形地被学习。迅速凋落的模式的数字仅仅影响散布现象。但是孔表演的更高的价值相对为更低的孔比那降低思考。在思考系数的摆动为磨擦因素的更低的价值被观察，但是它随磨擦因素的价值的增加消失。播送进步波浪的振幅独立于结构的孔。但是磨擦因素的更低的价值引起更高的传动。调查然后为第二个盒子被执行，即，当墙是不在的时。这里考虑的二个盒子之间的重要差别是思考由于薄多孔的结构很高稳固的墙什么时候作为与盒子相比存在没有墙什么时候是在场的。精力损失也由于不同的孔，磨擦因素，结构宽度和入射角被检验。我们的模型的有效性被与可得到的匹配它查明。

关键词：多孔结构结构阻尼垂直多步放置海浪底部反射系数

Exciting Forces for a Wave Energy Device Consisting of a Pair of Coaxial Cylinders in Water of Finite Depth

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Journal of Marine Science and Application 2013年第3期12卷 315-324页

作者： Mohammad Hassan Swaroop nandan Bora Department of Mathematics Indian Institute of Technology GuwahatiGuwahati 781039 India

二同轴的垂直柱体一个是骑空柱体和其它在在一个透不过的水平底部上面的某距离的更大的半径的稳固的柱体，被考虑。由这二柱体的衍射的这个问题，被看作一个浮标和一个圆形的盘子的理想化，能被看作一台波浪精力设备。被这台设备创造并... 详细信息

二同轴的垂直柱体一个是骑空柱体和其它在在一个透不过的水平底部上面的某距离的更大的半径的稳固的柱体，被考虑。由这二柱体的衍射的这个问题，被看作一个浮标和一个圆形的盘子的理想化，能被看作一台波浪精力设备。被这台设备创造并且转的波浪能量能适当地代替常规能量在许多应用被使用。变量的分离的方法被用来在四个清楚地识别的区域为使衍射的潜力获得分析表情。由沿着在这些区域之间的三条虚拟边界使用适当匹配条件，线性方程的一个系统被获得，它为未知系数被解决。潜力允许我们获得对两柱体起作用的令人激动的力量。令人激动的力量的集合为柱体的不同半径并且为在柱体之间的不同差距被获得。在半径和差距的变化在力量上有重要效果，这被观察。它主要被发现那令人激动的力量在更低的频率仅仅是重要的。令人激动的力量几乎消失在更高的频率。这个问题也为没有板安排的基础案例被调查，即，有仅仅漂浮的柱体的案例拴住到海床。为两安排的力量的比较被执行。以便由于巨浪运动，相应的增加的团和抑制系数照顾柱体的放射因为两柱体也被计算。所有结果图形地并且与可得到的结果相比被描绘。

关键词：有限水深圆柱体激励力装置同轴波能解析表达式分离变量法