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Dynamic Multi-Layer Perceptron for Fetal Health Classification Using Cardiotocography Data

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Computers, Materials & Continua 2024年第8期80卷 2301-2330页

作者： Uddagiri Sirisha Parvathaneni Naga Srinivasu Panguluri padmavathi Seongki Kim Aruna Pavate Jana Shafi Muhammad Fazal Ijaz Department of Computer Science and Engineering Prasad V Potluri Siddhartha Institute of TechnologyVijayawada520007India Amrita School of Computing Amrita Vishwa VidyapeethamAmaravatiAndhra Pradesh522503India Department of Tele informatics Engineering Federal University of CearáFortaleza60455-970Brazil Department of Computer Science and Engineering Koneru Lakshmaiah Education FoundationVaddeswaramGunturAndhra Pradesh522302India Department of Computer Engineering Chosun UniversityGwangju61452Republic of Korea School of CSIT Symbiosis Skills and Professional UniversityPune412101India Department of Computer Engineering and Information College of Engineering inWadi AlddawasirPrince Sattam bin Abdulaziz UniversityWadi Alddawasir11991Saudi Arabia School of IT and Engineering Melbourne Institute of TechnologyMelbourne3000Australia

Fetal health care is vital in ensuring the health of pregnant women and the *** check-ups need to be taken by the mother to determine the status of the fetus’growth and identify any potential *** know the status of the fetus,doctors monitor blood reports,Ultrasounds,cardiotocography(CTg)data,***,in this research,we have considered CTg data,which provides information on heart rate and uterine contractions during *** researchers have proposed various methods for classifying the status of fetus *** processing of CTg data is time-consuming and ***,automated tools should be used to classify fetal *** study proposes a novel neural network-based architecture,the Dynamic Multi-Layer Perceptron model,evaluated from a single layer to several layers to classify fetal *** strategies were applied,including pre-processing data using techniques like Balancing,Scaling,Normalization hyperparameter tuning,batch normalization,early stopping,etc.,to enhance the model’s performance.A comparative analysis of the proposed method is done against the traditional machine learning models to showcase its accuracy(97%).An ablation study without any pre-processing techniques is also *** study easily provides valuable interpretations for healthcare professionals in the decision-making process.

关键词： Fetal health cardiotocography data deep learning dynamic multi-layer perceptron feature engineering

Maximizing Solar Potential Using the Differential grey Wolf Algorithm for PV System Optimization

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Energy Engineering 2024年第8期121卷 2129-2142页

作者： Ezhilmathi Nagarathinam Buvana Devaraju Karthiyayini Jayamoorthy padmavathi Radhakrishnan Santhana Lakshmi ChandraMohan Vijayakumar Perumal Karthikeyan Balakrishnan Department of Electrical and Electronics Engineering Pandian Saraswathiyadav Engineering CollegeSivagangaiTamil Nadu630561India Department of Electrical and Electronics Engineering Sri Balaji Chockalingam Engineering CollegeArniTamil Nadu632317India Department of Information Science and Engineering New Horizon College of EngineeringBangalore560103India Department of Electrical and Electronics Engineering Rajalakshmi Engineering CollegeChennaiTamil Nadu602105India Department of Electrical and Electronics Engineering Sona College of TechnologySalemTamil Nadu636005India School of Electronics Engineering Vellore Institute of TechnologyChennaiTamil Nadu600127India Department of Electrical and Electronics Engineering Sri Krishna College of Engineering and TechnologyCoimbatoreTamil Nadu641008India

Maximum Power Point Tracking(MPPT)is crucial for maximizing the energy output of photovoltaic(PV)systems by continuously adjusting the operating point of the panels to track the point of maximum power production under changing environmental *** work proposes the design of an MPPT system for solar PV installations using the Differential grey Wolf Optimizer(DgWO).It dynamically adjusts the parameters of the MPPT controller,specifically the duty cycle of the SEPIC converter,to efficiently track the Maximum Power Point(MPP).The proposed system aims to enhance the energy harvesting capability of solar PV systems by optimizing their performance under varying solar irradiance,temperature and shading *** results demonstrate the effectiveness of the DgWO-based MPPT system in maximizing the power output of solar PV installations compared to conventional MPPT *** research contributes to the development of advanced MPPT techniques for improving the efficiency and reliability of solar energy systems.

关键词： DgWO SEPIC converter MPPT PV module

Pattern Analysis and Regressive Linear Measure for Botnet Detection

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Computer Systems Science & Engineering 2022年第10期43卷 119-139页

作者： B.padmavathi B.Muthukumar Department of Computer Science and Engineering Sathyabama Institute of Science and TechnologyChennaiIndia Department of Computer Science and Engineering Easwari Engineering CollegeChennaiIndia Department of Computer Science and Engineering United Institute of TechnologyCoimbatoreIndia

Capturing the distributed platform with remotely controlled compromised machines using botnet is extensively analyzed by various ***,certain limitations need to be addressed *** provisioning of detection mechanism with learning approaches provides a better solution more broadly by saluting multi-objective *** bots’patterns or features over the network have to be analyzed in both linear and non-linear *** linear and non-linear features are composed of high-level and low-level *** collected features are maintained over the Bag of Features(BoF)where the most influencing features are collected and provided into the classifier ***,the linearity and non-linearity of the threat are evaluated with Support Vector Machine(SVM).Next,with the collected BoF,the redundant features are eliminated as it triggers overhead towards the predictor ***,a novel Incoming data Redundancy Elimination-based learning model(RedE-L)is built to classify the network features to provide robustness towards BotNets *** simulation is carried out in MATLAB environment,and the evaluation of proposed RedE-L model is performed with various online accessible network traffic dataset(benchmark dataset).The proposed model intends to show better tradeoff compared to the existing approaches like conventional SVM,C4.5,RepTree and so ***,various metrics like Accuracy,detection rate,Mathews Correlation Coefficient(MCC),and some other statistical analysis are performed to show the proposed RedE-L model's *** F1-measure is 99.98%,precision is 99.93%,Accuracy is 99.84%,TPR is 99.92%,TNR is 99.94%,FNR is 0.06 and FPR is 0.06 respectively.

关键词： BotNet threat intrusion features linearity and non-linearity redundancy regressive linear measure classification redundancy eliminationbased learning model

An efficient botnet detection approach based on feature learning and classification

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Journal of Control and Decision 2023年第1期10卷 40-53页

作者： B.padmavathi B.Muthukumar Department of Computer Science and Engineering Sathyabama Institute of Science and TechnologyChennaiIndia Computer Science and Engineering Easwari Engineering CollegeChennaiIndia DMI College of Engineering ChennaiIndia

Bot detection is considered a crucial security issue that is extensively analysed in various existingapproaches. Machine Learning is an efficient way of botnet attack detection. Bot detectionis the major issue faced by the existing system. This research concentrates on adopting a graphbasedfeature learning process to reduce feature dimensionality. The incoming samples arecorrectly classified and optimised using an Adaboost classifier with an improved grey wolfoptimiser (g-AgWO). The proposed IgWO optimisation approach is adopted to fulfil the multiconstraintissues related to bot detection and provide better local and global solutions (to satisfyexploration and exploitation). The extensive results show that the proposed g-AgWO model outperformsexisting approaches to reduce feature dimensionality, under-fitting/over-fitting andexecution time. The error rate prediction shows the feasibility of the given model to work over thechallenging environment. This model also works efficiently towards the unseen data to achievebetter generalization.

关键词： Botnet machine learning AdaBoost grey wolf optimisation exploration exploitation

Pancreatitis in pregnancy: etiology, diagnosis, treatment, and outcomes

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Hepatobiliary & Pancreatic Diseases International 2016年第4期15卷 434-438页

作者： padmavathi Mali Department of Internal Medicine Marshfield Clinic

BACKgROUND：Acute pancreatitis in pregnancy is a rare and dangerous *** study aimed to examine the etiology,treatment,and outcomes of pancreatitis in ***：A total of 25 pregnant patients diagnosed with pancreatitis during the period of 1994 and 2014 was analyzed ***：The pregnant patients were diagnosed with pancreatitis during a period of 21 ***（60%）of the patients were diagnosed with pancreatitis in the third *** mean age of the patients at presentation was 25.7 years,with a mean gestational age of 24.4 *** pain occurred in most patients and vomiting in one patient was associated hyperemesis *** common cause of the disease was gallstone-related（56%）,followed by alcohol-related（16%）,post-ERCP（4%）,hereditary（4%）and undetermined conditions（20%）.The level of triglycerides was minimally high in three *** and wire-guided sphincterotomy were performed in 6（43%）of 14 patients with gallstone-related pancreatitis and elevated liver enzymes with no ***（84%）of the patients underwent a full-term,vaginal *** was no difference in either maternal or fetal outcomes after ***：Acute pancreatitis is rare in pregnancy,occurring most commonly in the third trimester,and gallstones are the most common *** laparoscopic cholecystectomy is not feasible and a common bile duct stone is highly suspected on imaging,endoscopic sphincterotomy or stenting may help to prevent recurrence and postpone cholecystectomy until after delivery.

关键词： pancreatitis alcoholic pancreatitis pregnancy complications diagnostic imaging

Electrical Collection Systems for Offshore Wind Farms:A Review

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CSEE Journal of Power and Energy Systems 2021年第5期7卷 1078-1092页

作者： padmavathi Lakshmanan Ruijuan Sun Jun Liang CSIR-Central Electronics Engineering Research Institute(CEERI) Pilani RajasthanIndia School of Elctrical Engineering Zhengzhou UniversityZhengzhou 450066China. School of Engineering Cardiff University.UK.

A review of the electrical collection systems in offshore wind farms(OWFs)is presented in this *** review is based on a categorization of offshore wind power electrical collection *** classification encompasses three categories of electrical collection systems,medium voltage AC collection,medium voltage DC collection systems and low frequency AC collection systems(LFAC).This paper summarizes the related research on different collection systems and explores their operational characteristics and *** the initial cost of an OWF is very much influenced,to a great extent,by the configuration of electrical collection and transmission systems,it is necessary to understand the key components and challenges in each collection system configuration.

关键词： DC collection systems LFAC offshore wind farms.

Optimal control of alcoholism spreading through awareness over multiplex network

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International Journal of Biomathematics 2021年第6期14卷 33-58页

作者： padmavathi Ramamoorthi Senthil Kumar Muthukrishnan Department of Science and Humanities Info Institute of Engineering CoimbatoreIndia Department of Applied Mathematics and Computational Sciences PSg College of Technology CoimbatoreIndia

This paper proposes the SISRS epidemic model to represent alcohol addiction among *** spreading of alcohol addiction is controlled by creating awareness among the people and also by treating them to overcome *** network is used to study the dynamics of *** spreads over the physical contact layer and follows the SISRS process whereas human awareness spreads over the virtual contact layer and follows the UAU *** on the Microscopic Markov Chain Approach competing dynamics of spreading of alcohol addiction and human awareness diffusion are *** conditions for the existence of an alcohol-free population are *** optimal control problem using a suitable cost index is formulated to reduce the alcohol addicts and the optimal control strategy using Pontryagin’s Minimum Principle is *** results are developed to find the effect of various parameters and to analyze the effects of different control *** results obtained from this model are closer to the data collected in the National Survey of Drug Use and Health(NSDUH)from 2002 to 2018.

关键词： Alcohol spreading information diffusion Microscopic Markov Chain Approach optimal control

Physiological Age Status of Female Adults and Off-Season Survival of Rice Leaffolder Cnaphalocrocis medinalis in India

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Rice science 2015年第5期22卷 237-244页

作者： padmavathi CHINTALAPATI Katti gURURAJ Sailaja VALLABUNI Prasad YENUMULAg Directorate of Rice Research Central Research Institute for Dryland Agriculture

Rice leaffolder, Cnaphalocrocis medinalis, is one of the major foliage feeders found in the rice growing regions in India. When the crop was at maturity, numerous adults of rice leaffolder were found in the rice fields though the larval population gradually decreased, and no eggs were found on rice leaves. The population characteristics of C. medinalis were assessed based on the physiological age status of adults at different crop growth stages. Based on egg development within ovarioles, ovariole appearance number and colour of fat bodies, and characteristics of bursa copulatrix, physiological age status of the adults was described, which served as a basis for the determination of age composition. C. medinalis adults were found during the first week of August on rice plants, of which 44% were in Age 0 with immature ovaries, indicating immigrants. However, 28% adults each were at Ages 1-2 with developing ovaries, indicating local breeding population. The carryover and off-season survival of C. medinalis were also studied to determine the contribution of the alternative hosts in the population growth that helped in devising efficient management strategies. Rice was the most preferred host followed by Triticum aestivum, Echinochloa crusgulli and Brachiaria plantaginea. Various routes of the carryover of C. medinalis from season to season were discussed.

关键词： rice leaffolder physiological age carryover off-season survival alternative host ovariole weed

Polarized Ketene Dithioacetals-Versatile Synthons for Different Heterocycles

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Chinese Journal of Chemistry 2012年第8期30卷 1886-1892页

作者： Venkatesh B.C. Premakumari C. Padmaja A. padmavathi V. Department of Chemistry Sri Venkateswara UniversityTirupati-517502Andhra PradeshIndia

The reactivity of polarized ketene dithioacetals to develop a variety of heterocycles under different conditions was studied.

关键词： polarized ketene dithioacetals thienothiophenes bis-benzoxazolyl/benzothiazolyl/benzimidazolyl-pyrazolidine diones/isoxazolidinediones/pyrimidinetriones/thioxopyrimidinediones cyclocondensation