Detection of Liver Disease Using Machine Learning Approach DOI
Pravin R. Kshirsagar, Dhoma Harshavardhan Reddy, Mallika Dhingra

et al.

Published: Dec. 14, 2022

For more effective therapy, it's critical to get an early diagnosis of liver illness. Due the disease's modest symptoms, it is a very difficult challenge for medical experts forecast disease in its stages. Frequently, symptoms show up only when too late. This study uses machine learning techniques enhance detection illness effort solve this problem. The major goal distinguish between patients and healthy people using classification algorithms. prevalence has been rising globally twenty-first century. According most recent survey data, death rate from increased by almost 2 million per year globally. 3.5% deaths are caused generally. As one fatal diseases, chronic can be readily cured with therapy. lifespan patient Chronic Liver Disease (CLD) would increase due rapid development artificial intelligence (AI), including various algorithms like SVM, K-mean clustering, KNN, Random forest, Logistic regression, etc. foundation research use predict disease. Pre-processing, feature extraction, just few stages that go into predicting In study, hybrid system suggested

Language: Английский

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

Aakifa Shahul,

Balakumar Muniandi, Mukundan Appadurai Paramashivan

et al.

Advances in civil and industrial engineering book series, Journal Year: 2024, Volume and Issue: unknown, P. 173 - 186

Published: May 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.

Language: Английский

Citations

127
Optimized Throughput-Based Broadcasting for Next Generation Wireless Networks DOI
Digvijay Pandey, Binay Kumar Pandey, Vinay Kumar Nassa

et al.

Advances in civil and industrial engineering book series, Journal Year: 2024, Volume and Issue: unknown, P. 355 - 368

Published: May 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

Language: Английский

Citations

101
Enhancing Sensing and Imaging Capabilities Through Surface Plasmon Resonance for Deepfake Image Detection DOI

R Maheshwari,

B. Paulchamy,

Binay Kumar Pandey

et al.

Plasmonics, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 6, 2024

Language: Английский

Citations

93
Impact of blockchain in healthcare system DOI
Shiela David, Kavitha Duraipandian, Deepanjali Chandrasekaran

et al.

Elsevier eBooks, Journal Year: 2023, Volume and Issue: unknown, P. 37 - 57

Published: Jan. 1, 2023

Language: Английский

Citations

62
Deployment of Load Balancing in Cloud Computing DOI
Binay Kumar Pandey, Mukundan Appadurai Paramashivan, Vinay Kumar Nassa

et al.

Advances in civil and industrial engineering book series, Journal Year: 2024, Volume and Issue: unknown, P. 342 - 354

Published: May 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.

Language: Английский

Citations

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

et al.

Scientific Reports, Journal Year: 2024, Volume and Issue: 14(1)

Published: Nov. 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.

Language: Английский

Citations

58
Blockchain's Potential Effect on the Healthcare Industry DOI
Binay Kumar Pandey, Mukundan Appadurai Paramashivan, Vinay Kumar Nassa

et al.

Advances in civil and industrial engineering book series, Journal Year: 2024, Volume and Issue: unknown, P. 214 - 232

Published: May 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.

Language: Английский

Citations

29
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

et al.

Aerospace Systems, Journal Year: 2022, Volume and Issue: 6(1), P. 53 - 59

Published: Sept. 5, 2022

Language: Английский

Citations

53
A Scalable Platform to Collect, Store, Visualize and Analyze Big Data in Real- Time DOI
Pravin R. Kshirsagar, Dhoma Harshavardhan Reddy, Mallika Dhingra

et al.

Published: Feb. 22, 2023

Examination and evaluation of sentiment The most popular area for dissecting extracting knowledge from communication data many sources, such as Facebook, Instagram, Twitter, Amazon, so on, is known mining. It plays a fundamental role in enabling the organizations to work productively on advancing business system gaining comprehensive understanding buyer's feedback their product. entails calculating person's behavior terms his buying preferences then placing yourself shoes about commercial aspect relationship. You may think this component situation, person, blog post, or tangible experience. Appraisals, checks, Reflections created by customers be divided into smaller, more notable pieces usage large businesses. analysis comparable purchasing used understand needs customer foresee future opportunities assist them. E-business Associations track uses passions associated with Particulars via internal assessment adopt better marketing mechanism give tailored shopping experience customers, improving hierarchical advantage. By using Programming interface key, Twitter article was collected Twitter. Similarly, we really want finish setting up systems. Additionally, supported NLP approaches, thus wish implement calculation crucial backslide. exploratory problems exhibit perfection.

Language: Английский

Citations

17
Wireless Sensor‐based IoT System with Distributed Optimization for Healthcare DOI

Rohit Anand,

Digvijay Pandey, Deena Nath Gupta

et al.

Published: March 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.

Language: Английский

Citations

8