Examination of the Criticality of Customer Segmentation Using Unsupervised Learning Methods

Circular Economy and Sustainability, Год журнала: 2024, Номер 4(2), С. 1447 - 1460

Опубликована: Янв. 9, 2024

Язык: Английский

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

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

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Building Information Modeling

Advances in civil and industrial engineering book series, Год журнала: 2024, Номер unknown, С. 305 - 331

Опубликована: Май 6, 2024

Building information modeling (BIM) has changed architecture, engineering, and construction professionals' built environment conceptualization, design, building, management. BIM tool evolution, principles, components, modelling methodology software, user interface basic functions, post-construction benefits, safety, intellectual property are covered in this chapter. integrates geometry, spatial relationships, geographical data, material qualities for interdisciplinary communication decision-making. This synergy boosts project efficiency by improving design accuracy, timelines, conflict resolution. Technical knowledge professional teamwork needed to use effectively. competency needs a paradigm shift schooling growth. As AEC digitises, BIM's potential is crucial proficiency.

Язык: Английский

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Advanced Digital Data Processing Using Cloud Cryptography

Advances in civil and industrial engineering book series, Год журнала: 2024, Номер unknown, С. 255 - 268

Опубликована: Май 6, 2024

Cloud computing uses the internet instead of discs or memory. Computing services include servers, databases, networks, and programmes. The primary benefit cloud is easy cheap data backup access from anywhere. storage doesn't store consumer data, raising safety concerns. users may not know how transported. user unaware a third party secretly accessing their data. For safety, we offer numerous encryption algorithms. This book chapter covered cryptography computing.

Язык: Английский

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Smart Big Data Collection for Intelligent Supply Chain Improvement

Advances in logistics, operations, and management science book series, Год журнала: 2024, Номер unknown, С. 180 - 195

Опубликована: Янв. 29, 2024

Supply chain management is essential to a company's success in today's fiercely competitive business environment, regardless of the industry. Businesses are increasingly turning big data analytics as useful tool for supply improvement meet expanding needs customers, save operational costs, and boost overall efficiency. In order improve critical areas including demand forecasting, inventory management, logistics optimization, risk reduction, research has been conducted on collecting use management. Big integration can result more cost-effective operations, better customer service, increased resilience disturbances. Organisations that effectively will gain advantage constantly changing landscape technology capabilities continue grow.

Язык: Английский

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Pattern Analysis for Feature Extraction in Complex Images

Advances in psychology, mental health, and behavioral studies (APMHBS) book series, Год журнала: 2024, Номер unknown, С. 145 - 167

Опубликована: Фев. 26, 2024

A concept that has been shown to be valuable in one circumstance and is likely useful others known as a pattern. pattern can interpreted variety of ways, each interpretation its own particularizations are suited the particular form it represents. The term “pattern” used describe anything, like group items function tandem with another. analysis these patterns important order improve recognition. Finding data primary emphasis field analysis, which subfield artificial intelligence computer science employs usage algorithms. In context stream, refers any underlying correlations, regularities, or structures. If finds significant already stored, system may able anticipate generating predictions based on fresh information arriving from source analogous currently using.

Язык: Английский

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Impact of blockchain in healthcare system

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

Опубликована: Янв. 1, 2023

Язык: Английский

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Face mask identification with enhanced cuckoo optimization and deep learning-based faster regional neural network

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

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Review on Smart Sewage Cleaning UAV Assistance for Sustainable Development

Practice, progress, and proficiency in sustainability, Год журнала: 2023, Номер unknown, С. 69 - 79

Опубликована: Июль 14, 2023

Autonomous systems that cannot adapt to real-world environments have proliferated due rapid technological improvement. These programmes will free people from repetitive, inefficient chores. The monotonous, dusty, and dangerous conditions of the unmanned aerial vehicle (UAV) pose a severe threat human health safety. improve supply chain, tracking, hazardous climate control. This chapter proposes merging compression track architecture UAV performance. pipe increase trackwheel friction. doesn't move in tube. Cleaning commences when sensors detect mouth. Dirt prevent washing process working. focuses on drain cleaning automation. Device automation addresses mobility space. study supports this method for garbage disposal filtering. technology removes manual relies control system movement.

Язык: Английский

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Character Recognition Technique Implementation for Complicated Deteriorated Scene

2021 5th International Conference on Information Systems and Computer Networks (ISCON), Год журнала: 2023, Номер unknown, С. 1 - 4

Опубликована: Март 3, 2023

There has been an increase in interest digitizing and preserving old books papers the last few years. The quick advancement of data innovation Internet's spread also contributed to enormous volume image video data. texts that are included assist us analyzing them utilized for indexing, archiving, retrieval. Different noises, such as Gaussian noise, salt pepper speckle etc., can readily damage image. Several filtering algorithms, including filter, mean median employed eliminate these various noises from images. This article analyses impact several pre-processing approaches, thresholding, morphology, blurring procedures, maximise text extraction strategies. experiment's findings demonstrate approaches unquestionably improve document's structural visual quality.

Язык: Английский

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