Search Results - "Ganeshan, R."
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A Novel CNN-BiLSTM-GRU Hybrid Deep Learning Model for Human Activity Recognition
Published in International journal of computational intelligence systems (12-11-2024)“…Human Activity Recognition (HAR) is critical in a variety of disciplines, including healthcare and robotics. This paper presents a new Convolutional Neural…”
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Enhancing the LoRaWAN Publish/Subscribe IoT Data Sharing Model Using Middleman for Smart Grid Application
Published in Wireless personal communications (01-08-2024)“…The power grid, manufacturing, and industrial automation are just a few Internet of Things (IoT) settings where publish/subscribe (p/s) systems are…”
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Artificial gannet optimization enabled deep convolutional neural network for autism spectrum disorders classification using MRI image
Published in Multimedia tools and applications (2024)“…Autism Spectrum Disorder (ASD) is a neurodevelopment-based disability caused by variations in the brain. This may cause impact on social skills and…”
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Crow-AFL: Crow Based Adaptive Fractional Lion Optimization Approach for the Intrusion Detection
Published in Wireless personal communications (01-04-2020)“…Intrusion detection has played a major role in ensuring the cybersecurity in various networks. Literature works deal with several cyber attacks in the data…”
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Myocardial injury in transient global amnesia: a case‐control study
Published in European journal of neurology (01-07-2019)“…Background and purpose Elevation of cardiac troponin (cTn), a sensitive biomarker of myocardial injury, is frequently observed in severe acute neurological…”
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Myocardial injury in patients with acute ischemic stroke detected by cardiovascular magnetic resonance imaging
Published in European journal of radiology (01-08-2023)“…Patients with acute ischemic stroke (AIS) are at high risk of adverse cardiovascular events. Until now, the burden of myocardial injury derived from…”
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I-AHSDT: intrusion detection using adaptive dynamic directive operative fractional lion clustering and hyperbolic secant-based decision tree classifier
Published in Journal of experimental & theoretical artificial intelligence (02-11-2018)“…This paper proposes an effective intrusion detection method, named I-AHSDT, which is the combination of the Adaptive Dynamic Directive Operative Fractional…”
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PM240 The Use of Left Ventricular Strain as a Non-Invasive Alternative to Surveillance Endomyocardial Biopsy
Published in Global heart (01-06-2016)Get full text
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Intensity-Modulated and Image-Guided Radiotherapy in Patients with Locally Advanced Inoperable Pancreatic Cancer after Preradiation Chemotherapy
Published in TheScientificWorld (2014)“…Background. Radiotherapy (RT) in patients with pancreatic cancer is still a controversial subject and its benefit in inoperable stages of locally advanced…”
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Homomorphic Encryption Enabled SVM for Preserving Privacy of P2P Communication
Published in 2024 IEEE International Students' Conference on Electrical, Electronics and Computer Science (SCEECS) (24-02-2024)“…In recent years, the protection of our data privacy has become crucial, particularly within the realm of peer-to-peer (P2P) communication networks. we propose…”
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Conference Proceeding -
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Are More Suppliers Better?: Generalizing the Guo and Ganeshan Procedure
Published in The Journal of the Operational Research Society (01-01-2001)Get full text
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Hybrid rat swarm hunter prey optimization trained deep learning for network intrusion detection using CNN features
Published in Computers & security (01-04-2024)“…In recent years, the emerging growth of various network technologies, namely the cloud computing, 5 G networks, Internet of Things (IoT), and so on resulted in…”
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Tuberculous lymphadenitis is associated with altered levels of circulating angiogenic factors
Published in The international journal of tuberculosis and lung disease (01-05-2018)“…BACKGROUND: Angiogenic factors are important in granuloma formation and serve as biomarkers in pulmonary tuberculosis (PTB). The relationship between these…”
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p75 neurotrophin receptor and fenretinide-induced signaling in neuroblastoma
Published in Cancer chemotherapy and pharmacology (01-02-2014)“…Purpose Neuroblastoma is the most common extracranial solid tumor of childhood. The retinoic acid analogue, fenretinide (4-hydroxyphenyl retinamide; 4-HPR),…”
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Analyzing the User Navigation Pattern from Web Logs Using Maximum Frequent Pattern Approach
Published in 2021 6th International Conference on Inventive Computation Technologies (ICICT) (20-01-2021)“…Web Usage Mining is the application, it automatically discovers the user access pattern from web servers i.e. logs. The role of the organization is to collect…”
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Conference Proceeding -
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Pharmacologic Management of High-Risk Neuroblastoma in Children
Published in Paediatric drugs (01-08-2011)“…Neuroblastoma is the most common extracranial solid tumor of childhood. It accounts for 15% of pediatric cancer deaths. Children with high-risk disease have a…”
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Video forgery detection using competitive swarm sun flower optimization algorithm based deep learning
Published in Wireless networks (25-04-2024)Get full text
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FACVO-DNFN: Deep learning-based feature fusion and Distributed Denial of Service attack detection in cloud computing
Published in Knowledge-based systems (15-02-2023)“…Cloud computing offers a broad range of resource pools for conserving a huge quantity of information. Due to the intrusion of attackers, the information that…”
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Are More Suppliers Better?
Published in The Journal of the Operational Research Society (01-07-1995)“…This paper investigates how the mean and variance of lead time change with the number of suppliers. Using known analytical results for the means and variances…”
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