ECG Analysis-Based Cardiac Disease Prediction Using Signal Feature Selection with Extraction Based on AI Techniques DOI Creative Commons
Anamika Sharma,

H.S. Hota

International Journal of Communication Networks and Information Security (IJCNIS), Год журнала: 2022, Номер 14(3), С. 73 - 85

Опубликована: Дек. 23, 2022

ECG (Electrocardiogram) performs classification using a machine learning model for processing different features in the signal. The electrical activity of heart is computed with signal library. key issue handling signals an estimation irregularities to evaluate health status patients. impulse waveform specialized tissues cardiac diseases. However, comprises difficulties associated derive certain features. Through (ML) input are signals. In this paper, proposed Noise QRS Feature effective classification. computes sequences. Initially, pre-processed Finite Impulse response (FIR) filter analysis processed and responses kNN performance comparatively examined Discrete Wavelet Transform (DWT), Dual-Tree Complex Transforms (DTCWT) Orthonormal Stockwell (DOST) Cascade Feed Forward Neural Network (CFNN), (FFNN). Simulation expressed that exhibits higher accuracy 99% which ~6 – 7% than conventional classifier model.

Язык: Английский

An Analysis of Algorithms and Methods Based on Image Processing for Medical Applications DOI

Aakifa Shahul,

Balakumar Muniandi, Mukundan Appadurai Paramashivan

и другие.

Advances in civil and industrial engineering book series, Год журнала: 2024, Номер unknown, С. 173 - 186

Опубликована: Май 6, 2024

Image processing has become more crucial in medical applications due to its ability collect and evaluate data from images. This book chapter provides an overview of various image techniques used for applications, including deep learning algorithms, segmentation techniques, a combination both. Additionally, the authors discuss other studies that analysed X-rays identify cancer, brain tumours, disorders. The results study demonstrate how have potential significantly improve sickness detection speed accuracy, facilitating early diagnosis treatment. planning therapies accuracy diagnoses can both be enhanced by use tools. Healthcare workers' recognise manage variety conditions will undoubtedly increase.

Язык: Английский

Процитировано

127

Enhancing Sensing and Imaging Capabilities Through Surface Plasmon Resonance for Deepfake Image Detection DOI

R Maheshwari,

B. Paulchamy,

Binay Kumar Pandey

и другие.

Plasmonics, Год журнала: 2024, Номер unknown

Опубликована: Сен. 6, 2024

Язык: Английский

Процитировано

118

Optimized Throughput-Based Broadcasting for Next Generation Wireless Networks DOI
Digvijay Pandey, Binay Kumar Pandey, Vinay Kumar Nassa

и другие.

Advances in civil and industrial engineering book series, Год журнала: 2024, Номер unknown, С. 355 - 368

Опубликована: Май 6, 2024

Remote areas benefit from lower costs for transporting enormous amounts of data between a source node and multiple networking devices. Noise constraints necessitated 64 kb/s broadcaster. Bit defect rates, abnormalities, frequent retransmission prevented movement.This could greatly minimize channel usage. The maximum transmission unit distance was 64B. Data packet size limits exacerbated issues. Massive traffic, connection imprecision, changing topology affect network structure, making dissemination nodes to all devices difficult.This book chapter suggests using an advanced throughput optimal broadcast in point-to-multipoint wireless networks improve wire-less link precision by the Mayfly optimization method, recent swarm intelligence soft computing technique, geometrical configuration interfering terminals forecasted per-flow

Язык: Английский

Процитировано

101

Impact of blockchain in healthcare system DOI
Shiela David, Kavitha Duraipandian, Deepanjali Chandrasekaran

и другие.

Elsevier eBooks, Год журнала: 2023, Номер unknown, С. 37 - 57

Опубликована: Янв. 1, 2023

Язык: Английский

Процитировано

62

Deployment of Load Balancing in Cloud Computing DOI
Binay Kumar Pandey, Mukundan Appadurai Paramashivan, Vinay Kumar Nassa

и другие.

Advances in civil and industrial engineering book series, Год журнала: 2024, Номер unknown, С. 342 - 354

Опубликована: Май 6, 2024

Cloud computing involves virtualization, distributed computers, networking, software, and web services. Clouds have clients, datacenters, servers. It has fault tolerance, high availability, scalability, flexibility, little user overhead, cheap ownership cost, on-demand services, etc. These difficulties require a powerful load balancing algorithm. Memory, CPU, latency, or network-load. Load distributes demand to avoid overloaded system nodes optimises resource use job response time. balancers ensure that processors network perform similarly. Methods initiated by sender, recipient, symmetric. Using the divisible scheduling theorem, method will optimise throughput latency for clouds of different sizes.

Язык: Английский

Процитировано

59

Face mask identification with enhanced cuckoo optimization and deep learning-based faster regional neural network DOI Creative Commons
Binay Kumar Pandey, Digvijay Pandey, Mesfin Esayas Lelisho

и другие.

Scientific Reports, Год журнала: 2024, Номер 14(1)

Опубликована: Ноя. 29, 2024

Abstract A mask identification and social distance monitoring system using Unmanned Aerial Vehicles (UAV) in the outdoors has been proposed for a health establishment. The above approach performed surveillance of surrounding area cameras installed UAVs internet things technologies, captured images seem useful tracking entire environment. However, innate from unmanned aerial vehicles show an adaptable visual effect uncontrolled environment, making face-mask detection recognition harder. UAV picture first had to be converted grayscale, then its contrast was amplified. Image improved Optimum Wavelet-Based Masking Enhanced Cuckoo Methodology (ECM). According contrast-enhanced image, Gabor-Transform (GT) Stroke Width Transform (SWT) methods are used derive attributes that help categorise mask-wearers non-mask-wearers. Using retrieved attributes, Weighted Naive Bayes Classification (WNBC) detected masks images. Additionally, deep neural network-based, faster Region-Based Convolutional Neural Networks (R-CNN) algorithm combined with Adaptive Galactic Swarm Optimization (AGSO) is being identify appropriate incorrect face wear images, as well monitor distancing among individuals crowded areas. When recognises unmasked individuals, it sends their information doctor nearby police station. One vehicle’s automated alert people via speakers, ensuring spacing. problem involves large percentage data GitHub Kaggle, including training repository 16,000 testing set 12,751 To enhance performance model’s learning, methodology 10-fold cross-validation will used. Precision, recall, F1-score, speed measured determine efficacy suggested approach.

Язык: Английский

Процитировано

58

Blockchain's Potential Effect on the Healthcare Industry DOI
Binay Kumar Pandey, Mukundan Appadurai Paramashivan, Vinay Kumar Nassa

и другие.

Advances in civil and industrial engineering book series, Год журнала: 2024, Номер unknown, С. 214 - 232

Опубликована: Май 6, 2024

Block chain secures data. Blockchain imitates computerised trading markets. The 2008 cryptocurrency and transaction network Bitcoin leads blockchain technology. When buyers or sellers declare payments, transfers bitcoin. can change finance like the Internet. technology may affect medicine. This fast-growing issue affects many healthcare providers. Open, irreversible, stable, collaborative are preferred by over regulated, hidden, proprietary, changeable ones. is used in medical records, security, database management, biotechnology regulation. helps biopharmaceuticals track illicit medications. It monitors medicines counterfeiters. book chapter presents a comprehensive block for health sector decision makers explores difficulties constraints using suitable markup. Here current potential applications.

Язык: Английский

Процитировано

38

Application of switching median filter with L2 norm-based auto-tuning function for removing random valued impulse noise DOI

P. Malin Bruntha,

S. Dhanasekar,

D. Hepsiba

и другие.

Aerospace Systems, Год журнала: 2022, Номер 6(1), С. 53 - 59

Опубликована: Сен. 5, 2022

Язык: Английский

Процитировано

53

Machine Learning Application for Evidence Image Enhancement DOI

Sampangirama Reddy B. R.,

Ashendra Kumar Saxena, Binay Kumar Pandey

и другие.

Advances in computational intelligence and robotics book series, Год журнала: 2023, Номер unknown, С. 25 - 38

Опубликована: Июнь 30, 2023

Taking into account the uses of ML in field vision, many practical vision systems' first processing stages include enhancing or reconstructing images. The goal these tools is to enhance quality photos and give accurate data for making decisions based on appearance. In this research study, authors examine three distinct types neural networks: convolutional networks, residual generative countermeasure networks. There a proposal model structure scalable supplementary generation network as part that enhances evidence images countermeasure. present objective loss function definition, well periodic consistency perceptual analysis. An in-depth solution framework picture layering offered once problem's core aspects are explained. This approach implements multitasking with help adaptive feature learning, provides strong theoretical guarantee.

Язык: Английский

Процитировано

29

Wireless Sensor‐based IoT System with Distributed Optimization for Healthcare DOI

Rohit Anand,

Digvijay Pandey, Deena Nath Gupta

и другие.

Опубликована: Март 8, 2024

For the purposes of internet things (IoT), a WSN is collection geographically scattered, purpose-built sensors that monitor and record environmental variables then transmit data in bulk by wireless means to central server connected internet. Using IoT healthcare facilities, there are several ways which devices might benefit hospitals beyond just keeping tabs on patients' well-being. The real-time position medical such as wheelchairs, defibrillators, nebulizers, oxygen pumps, other monitoring equipment may be tracked with help equipped sensors. Yet, it has been realized settings need dispersed optimization. It difficult implement system using WSN. Hence, traditional studies various types research techniques taken into account WSN-based fields.

Язык: Английский

Процитировано

8