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An improved approach for early diagnosis of Parkinson’s disease using advanced DL models and image alignment

Automatika, 2024-07, Vol.65 (3), p.911-924

2024

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Generative Adversarial Networks for Unmanned Aerial Vehicle Object Detection with Fusion Technology

Journal of advanced transportation, 2022-04, Vol.2022, p.1-13

2022

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Logistics Optimization in Supply Chain Management using Clustering Algorithms

Scalable Computing. Practice and Experience, 2020-03, Vol.21 (1), p.107-114

2020

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Log Anomaly Detection Using Sequential Convolution Neural Networks and Dual-LSTM Model

SN computer science, 2023-05, Vol.4 (3), p.256, Article 256

2023

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QoS Aware Adaptive Service Composition

Research Journal of Applied Sciences, Engineering and Technology, 2014-05, Vol.7 (19), p.4072-4078

2014

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Optimized Path and Reduced Rule Caching Cost for Software Defined Network (SDN) Based Internet of Things (IOT)

Wireless personal communications, 2021-10, Vol.120 (3), p.2349-2365

2021

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Data distribution and secure data transmission using IANFIS and MECC in IoT

Journal of ambient intelligence and humanized computing, 2022-03, Vol.13 (3), p.1471-1484

2022

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Autonomous UAV object Avoidance with Floyd-warshall differential evolution approach

Inteligencia artificial, 2022-12, Vol.25 (70), p.77-94

2022

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Random forest tree classification algorithm for predicating loan

Materials today : proceedings, 2022, Vol.57, p.2216-2222

2022

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Towards an effective deep learning-based intrusion detection system in the internet of things

Telematics and Informatics Reports, 2022-09, Vol.7, p.100009, Article 100009

2022

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Prediction of Parkinson Disease using Autoencoder Convolutional Neural Networks

2022 International Interdisciplinary Humanitarian Conference for Sustainability (IIHC), 2022, p.236-239

2022

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A Machine Learning Approach to Detect Parkinson Disease Using Speech Signals

2022 International Interdisciplinary Humanitarian Conference for Sustainability (IIHC), 2022, p.240-244

2022

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Optimized supervised learning approach to predict Parkinson’s disease with minimal attributes using PPMI Datasets

Multimedia tools and applications, 2024-05, Vol.83 (16), p.48499-48520

2024

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Prediction analysis for Parkinson disease using multiple feature selection & classification methods

Multimedia tools and applications, 2023-11, Vol.82 (27), p.42995-43012

2023

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Energy Efficient Data Distribution on Cloud with Optimal Routing Path Based Congestion Control in WSN Environment

Shanghai li gong da xue xue bao, 2021-08, Vol.23 (8), p.421-436

2021

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Energy–QoS-Aware Data Communication and Optimal Path Selection in Software-Defined Networks Using EOMBA and IBSO

SN computer science, 2023-10, Vol.4 (6), p.813, Article 813

2023

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An efficient service composition using frequent service sequence patterns over extended web service architecture

International journal of information and communication technology, 2016, Vol.9 (1), p.1

2016

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WITHDRAWN: Similarity learning of Parkinsonism elicited from genetics and syndrome for pharmacotherapy decision making

Materials today : proceedings, 2021-02

2021

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Data fusion in data federation using modified discriminative Markov logic networks

International journal of advanced and applied sciences, 2016-08, Vol.3 (8), p.78-84

2016

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An efficient service composition using frequent service sequence patterns over extended web service architecture

International journal of information and communication technology, 2016, Vol.9 (1), p.1

2016

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Data Access in Heterogeneous Data Sources Using Object Relational Database

Smart Secure Systems – IoT and Analytics Perspective, p.23-33

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Detecting Parkinson's Disease with Image Classification

2022 IEEE 3rd Global Conference for Advancement in Technology (GCAT), 2022, p.1-5

2022

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Sentimental Analysis of Twitter Data using Machine Learning Algorithms

2021 International Conference on Forensics, Analytics, Big Data, Security (FABS), 2021, Vol.1, p.1-5

2021

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Performance analysis of Classification methods for Parkinson's Disease with PPMI Dataset

2021 International Conference on Advancements in Electrical, Electronics, Communication, Computing and Automation (ICAECA), 2021, p.1-5

2021

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Parkinson Disease Prediction and Drug Personalization Using Machine Learning Techniques

Industrial Internet of Things, 2022, Vol.1, p.57-82

1, 2022

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An improved approach for early diagnosis of Parkinson’s disease using advanced DL models and image alignment

Generative Adversarial Networks for Unmanned Aerial Vehicle Object Detection with Fusion Technology

Logistics Optimization in Supply Chain Management using Clustering Algorithms

Log Anomaly Detection Using Sequential Convolution Neural Networks and Dual-LSTM Model

QoS Aware Adaptive Service Composition

Optimized Path and Reduced Rule Caching Cost for Software Defined Network (SDN) Based Internet of Things (IOT)

Data distribution and secure data transmission using IANFIS and MECC in IoT

Autonomous UAV object Avoidance with Floyd-warshall differential evolution approach

Random forest tree classification algorithm for predicating loan

Towards an effective deep learning-based intrusion detection system in the internet of things

Prediction of Parkinson Disease using Autoencoder Convolutional Neural Networks

A Machine Learning Approach to Detect Parkinson Disease Using Speech Signals

Optimized supervised learning approach to predict Parkinson’s disease with minimal attributes using PPMI Datasets

Prediction analysis for Parkinson disease using multiple feature selection & classification methods

Energy Efficient Data Distribution on Cloud with Optimal Routing Path Based Congestion Control in WSN Environment

Energy–QoS-Aware Data Communication and Optimal Path Selection in Software-Defined Networks Using EOMBA and IBSO

An efficient service composition using frequent service sequence patterns over extended web service architecture

WITHDRAWN: Similarity learning of Parkinsonism elicited from genetics and syndrome for pharmacotherapy decision making

Data fusion in data federation using modified discriminative Markov logic networks

An efficient service composition using frequent service sequence patterns over extended web service architecture

Data Access in Heterogeneous Data Sources Using Object Relational Database

Detecting Parkinson's Disease with Image Classification

Sentimental Analysis of Twitter Data using Machine Learning Algorithms

Performance analysis of Classification methods for Parkinson's Disease with PPMI Dataset

Parkinson Disease Prediction and Drug Personalization Using Machine Learning Techniques

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