Urban management image classification approach based on deep learning

Article Computer Science, Information Systems

PersonalisedComfort: a personalised thermal comfort model to predict thermal sensation votes for smart building residents

Saif Ur Rehman et al.

Summary: In this article, a novel model named PersonalisedComfort is proposed to predict the thermal sensation votes of individuals. Experimental results show that PersonalisedComfort achieves an accuracy of 85%, which is 8% higher than previous studies.

ENTERPRISE INFORMATION SYSTEMS (2022)

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Article Computer Science, Artificial Intelligence

A novel PCA-whale optimization-based deep neural network model for classification of tomato plant diseases using GPU

Thippa Reddy Gadekallu et al.

Summary: With the rapid growth of human population, ensuring a healthy food supply and combating plant diseases threatening crop yield become crucial. This study focuses on using machine learning models to classify tomato disease images, extract features using optimization algorithms, apply deep neural networks for classification, and evaluate the model performance based on accuracy and loss rate metrics.

JOURNAL OF REAL-TIME IMAGE PROCESSING (2021)

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Article Engineering, Environmental

Evaluation of the technoeconomic feasibility of electrochemical hydrogen peroxide production for decentralized water treatment

Yang Li et al.

Summary: This study evaluated the feasibility of electrochemical hydrogen peroxide (H2O2) production with gas diffusion electrode (GDE) for decentralized water treatment, showing high current efficiency and low energy consumption, making it a promising technology for household and community water treatment.

FRONTIERS OF ENVIRONMENTAL SCIENCE & ENGINEERING (2021)

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Article Construction & Building Technology

Automated cognitive health assessment in smart homes using machine learning

Abdul Rehman Javed et al.

Summary: IoT offers smart solutions for future urban communities with minimal human intervention. Smart homes assess residents' ability to perform daily activities and health condition using CA-SHR, aiming to early detect cognitive impairment. By utilizing ensemble AdaBoost classification, CA-SHR improves the reliability in labeling smart home residents.

SUSTAINABLE CITIES AND SOCIETY (2021)

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Article Engineering, Multidisciplinary