Advanced Neural Network Architectures for Image Processing in Medical Diagnostics

Advances in chemical and materials engineering book series, Год журнала: 2025, Номер unknown, С. 185 - 208

Опубликована: Фев. 5, 2025

The applications of higher-level neural network structures in medical diagnosis have significantly changed image analysis medicamente, providing unmatched accuracy and speed disease classification. This chapter provides updated knowledge advanced models, CNN, GAN, U-net models are best suited for different imaging like MRI, CT, X-ray. findings a literature survey presented with focus on major contributions open issues such as data confidentiality, model understanding, the lack big annotated collections. Introducing various methodological approaches tuning networks diagnostics, an assessment is provided compliance their performance indicators critical parameters. Knowledge perspectives discussed this help to enhance reader reveal opportunities artificial intelligence application further enhancement healthcare sector through enhanced processing.

Язык: Английский

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Enhancing Industrial Equipment Reliability Through an Optimized ANN-Powered Predictive Maintenance System

Advances in chemical and materials engineering book series, Год журнала: 2025, Номер unknown, С. 383 - 404

Опубликована: Фев. 5, 2025

Maintaining industrial equipment ensures efficiency, reduces downtime, and prevents costly failures. Routine inspections or equipment's reactive response breakdowns may not be efficient it can cause unexpected This chapter presents an automated framework for predictive maintenance using ANN. The independent parameters including air temperature, torque, rotational speed tool wear are used to estimate the failure of equipment. proposed ANN network is initially optimized by tuning its hyperparameters i.e. hidden layers, learning rate regularization parameter. Later validated quantitative accuracy, precision, recall F1-score. succeeded with 98% accuracy in prediction. real-time improve reliability reduction cost boost efficiency. customized integrated a management system further meet demand various prevent shutdown machinery.

Язык: Английский

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Digital Technology and AI for Smart Sustainable Cities in the Global South: A Critical Review of Literature and Case Studies

Urban Science, Год журнала: 2025, Номер 9(3), С. 72 - 72

Опубликована: Март 5, 2025

Many countries across the Global South strive to align their urban development with sustainability goals. Consequently, notion of smart sustainable cities has emerged, integrating ideas and sustainability. The region faces diverse challenges, including rapid population growth financial constraints. Infrastructural deficiencies, especially in digital infrastructure AI adoption, add these challenges. Therefore, exploring technologies is essential for developing smart, South. This paper examined both potential barriers AI. It also explored policy implications proposes a framework cities. A qualitative methodological approach used, systematic literature review case studies. study demonstrates how various challenges can be addressed AI, alongside adoption. conceptual three key pillars: adopting as pivotal element, overcoming barriers, identifying application areas transform into Moreover, discusses suggests future directions research.

Язык: Английский

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Deep Learning Approaches for Real-Time IoT Data Processing and Analysis

Опубликована: Сен. 18, 2024

Язык: Английский

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