P. S. Hiremath
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View article: ILP Optimized LSTM-based Autoscaling and Scheduling of Containers in Edge-cloud Environment
ILP Optimized LSTM-based Autoscaling and Scheduling of Containers in Edge-cloud Environment Open
Edge computing is a decentralized computing paradigm that brings computation and data storage closer to data sources, enabling faster processing and reduced latency. This approach is critical for real-time applications, but it introduces s…
View article: Scheduling of jobs and autonomous mobile robots: Towards the realization of line-less assembly systems
Scheduling of jobs and autonomous mobile robots: Towards the realization of line-less assembly systems Open
As Industry 4.0 continues to transform the manufacturing domain, the focus is shifting towards mass personalization of products, enabling companies to efficiently produce customized goods that meet individual customers’ unique needs and pr…
View article: Smart ECN and RSVP Protocols for QOS and Congestion Optimization in 5G Networks Using Advanced AI Techniques
Smart ECN and RSVP Protocols for QOS and Congestion Optimization in 5G Networks Using Advanced AI Techniques Open
In the rapidly evolving landscape of 5G networks, ensuring Quality of Service (QoS) and efficient congestion management are paramount to meet the high demands of modern applications. This paper presents a comprehensive study on the integra…
View article: Improving Heart Attack Detection through Enhanced Machine Learning and Deep Neural Networks from Multi Model Images
Improving Heart Attack Detection through Enhanced Machine Learning and Deep Neural Networks from Multi Model Images Open
Accurate and timely detection of heart attacks is crucial for effective intervention and treatment. This paper presents a comprehensive study on enhancing heart attack detection using advanced machine learning (ML) and deep neural network …
View article: CancerSpot: A multi-cancer early detection test developed and validated on a retrospective cohort
CancerSpot: A multi-cancer early detection test developed and validated on a retrospective cohort Open
Next-generation sequencing (NGS) technologies have transformed biomarker discovery, enabling the detection of disease-associated markers at the earliest stages of illness. In this study, we introduce a blood-based, non-invasive test for mu…
View article: An Efficient and Secure Blockchain Consensus Algorithm Using Game Theory
An Efficient and Secure Blockchain Consensus Algorithm Using Game Theory Open
Blockchain technology is a decentralized ledger system that finds applications in various domains such as banking, e-governance, and supply chain management. The consensus algorithm plays a crucial role in any blockchain network as it dire…
View article: Impulsive motion causes time-dependent nonlinear convective Williamson nanofluid flow across a rough conical surface: Semi-similar analysis
Impulsive motion causes time-dependent nonlinear convective Williamson nanofluid flow across a rough conical surface: Semi-similar analysis Open
The time-dependent nonlinear convective Williamson nanofluid flow over a rough conical surface in the presence of numerous diffusions and Arrhenius activation energy effects are the main focus of the investigation in this paper. The unstea…
View article: Survey on Handwritten Signature Biometric Data Analysis for Assessment of Neurological Disorder using Machine Learning Techniques
Survey on Handwritten Signature Biometric Data Analysis for Assessment of Neurological Disorder using Machine Learning Techniques Open
The handwritten signature is considered one of the most widely accepted personal behavioral traits in Biometric system. Handwriting analysis has wide applications in multiple domains such as psychological disorders, medical diagnosis, and …
View article: Handwritten Signature Biometric Data Analysis for Personality Prediction System Using Machine Learning Techniques
Handwritten Signature Biometric Data Analysis for Personality Prediction System Using Machine Learning Techniques Open
Handwritten signature has been considered as one of the most widely accepted behavioral personal trait in Biometric security system; and It contains various dynamic and innate behavioral traits like shapes and patterns which can certainly …
View article: Behavioral Biometric Data Analysis for Gender Classification Using Feature Fusion and Machine Learning
Behavioral Biometric Data Analysis for Gender Classification Using Feature Fusion and Machine Learning Open
Biometric security applications have been employed for providing a higher security in several access control systems during the past few years. The handwritten signature is the most widely accepted behavioral biometric trait for authentica…
View article: Automatic Detection and Classification of Knee Osteoarthritis Using Hu's Invariant Moments
Automatic Detection and Classification of Knee Osteoarthritis Using Hu's Invariant Moments Open
Significant information extraction from the images that are geometrically distorted or transformed is mainstream procedure in image processing. It becomes difficult to retrieve the relevant region when the images get distorted by some geom…
View article: Nonlinear mixed convective nanofluid flow about a rough sphere with the diffusion of liquid hydrogen
Nonlinear mixed convective nanofluid flow about a rough sphere with the diffusion of liquid hydrogen Open
In this paper, a study of steady nonlinear mixed convective nanoliquid flow about a rough sphere with the diffusion of liquid hydrogen is considered. The governing equations are first modelled from the current physical problem, and then, s…
View article: Text Extraction and Recognition in Natural Scene Images using Contourlet Transform and PNN
Text Extraction and Recognition in Natural Scene Images using Contourlet Transform and PNN Open
Of late, the rapid development in the technology and multimedia capability in digital cameras and mobile devices has led to ever increasing number of images or multi-media data to the digital world. Particularly, in natural scene images, t…
View article: Detection of Osteoarthritis in Knee Radiographic Images using Artificial Neural Network
Detection of Osteoarthritis in Knee Radiographic Images using Artificial Neural Network Open
In this paper, the Osteoarthritis (OA) analysis in knee radiographic images using artificial neural networks (ANN) is considered. In Osteoarthritis, mobility is restricted and bones rub each other causing extreme pain in knee due to cartil…
View article: Study of Segmentation Techniques for Assessment of Osteoarthritis in Knee X-ray Images
Study of Segmentation Techniques for Assessment of Osteoarthritis in Knee X-ray Images Open
Arthritis is one of the chronic joint disorders that have affected many lives including middle age and older age group.Arthritis exists in many forms and one among them is Osteoarthritis.Osteoarthritis affects the bigger joints like knee, …
View article: DETECTION OF SLEEP APNEA IN ECG SIGNAL USING PANTOMPKINS ALGORITHM AND ANN CLASSIFIERS
DETECTION OF SLEEP APNEA IN ECG SIGNAL USING PANTOMPKINS ALGORITHM AND ANN CLASSIFIERS Open
In this paper, a novel methodology for Sleep apnea detection is proposed using ECG signal analysis. It involves the following sequential procedure: Pre-processing using digital filters, Peak or QRS complex detection using Pan-Tompkins algo…
View article: Performance Comparison Of Ann Classifiers For Sleep Apnea Detection Based On Ecg Signal Analysis Using Hilbert Transform
Performance Comparison Of Ann Classifiers For Sleep Apnea Detection Based On Ecg Signal Analysis Using Hilbert Transform Open
In this paper, a methodology for sleep apnea detection based on ECG signal analysis using Hilbert transform is proposed. The proposed work comprises a sequential procedure of preprocessing, QRS complex detection using Hilbert Transform, fe…
View article: Galois Field-based Approach for Rotation and Scale Invariant Texture Classification
Galois Field-based Approach for Rotation and Scale Invariant Texture Classification Open
In this paper, a novel Galois Field-based approach is proposed for rotation and scale invariant texture classification.The commutative and associative properties of Galois Field addition operator are useful for accomplishing the rotation a…
View article: Determination of Osteoarthritis Using Histogram of Oriented Gradients and Multiclass SVM
Determination of Osteoarthritis Using Histogram of Oriented Gradients and Multiclass SVM Open
Knee Osteoarthritis is most ordinary kind of joint inflammation, which often occurs in one or both the knee joints.Osteoarthritis is additionally called as 'wear and tear' process of joint that results in dynamic disintegration of articula…
View article: Preprocessing MRI Images of Colorectal Cancer
Preprocessing MRI Images of Colorectal Cancer Open
The precision cancer diagnosis is possible owing to the sophisticated technologies based digital image processing tools.Among the various imaging modalities, Magnetic Resonance Imaging (MRI) is of paramount interest, especially for colorec…
View article: PNN Based Character Recognition in Natural Scene Images
PNN Based Character Recognition in Natural Scene Images Open
The objective of this paper is to propose a novel approach to recognize Characters (Digits, Upper case letters and Lower case letters) of text spotted in natural scene image with cluttered backgrounds.The projection profile method is used …
View article: Text Localization and Character Extraction in Natural Scene Images using Contourlet Transform and SVM Classifier
Text Localization and Character Extraction in Natural Scene Images using Contourlet Transform and SVM Classifier Open
The objective of this study is to propose a new method for text region localization and character extraction in natural scene images with complex background.In this paper, a hybrid methodology is suggested which extracts multilingual text …