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Optimizing indoor environmental prediction in smart buildings: A comparative analysis of deep learning models

Minassian, R Mihăiţă, AS Shirazi, A

This paper presents a comprehensive investigation into the application of deep learning models for predicting indoor environmental quality in smart buildings. Using data collected from a network of...

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Mutation adaptive cuckoo search hybridized naked mole rat algorithm for industrial engineering problems.

Salgotra, R Singh, S Verma, P Abualigah, L Gandomi, AH

Cuckoo Search (CS) is a popular algorithm used to solve numerous challenging problems. In the present work, a novel variant of CS is presented to eliminate its shortcomings. The proposed algorithm ...

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Advancing plant leaf disease detection integrating machine learning and deep learning.

Sujatha, R Krishnan, S Chatterjee, JM Gandomi, AH

Conventional techniques for identifying plant leaf diseases can be labor-intensive and complicated. This research uses artificial intelligence (AI) to propose an automated solution that improves pl...

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Rhaly terraced sequences their generalizations, properties and applications

Shannon, AG Kuloğlu, B Özkan, E

This paper links terraced matrices with other well-known integer sequences, such as the Hankel matrices and related Fibonacci and Lucas matrices. These, in turn, are connected with related results ...

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Computational thinking tools for early years education: a design study

Matthews, S Nicholas, M Kervin, L Paatsch, L Wyeth, P

Computational Thinking (CT) is recognised as an essential foundational skill that enhances problem-solving abilities and is a crucial learning area for effective engagement in an increasingly digit...

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Separation of stroke from vestibular neuritis using the video head impulse test: machine learning models versus expert clinicians.

Wang, C Sreerama, J Nham, B Reid, N Ozalp, N Thomas, JO Cappelen-Smith, C Calic, Z Bradshaw, AP Rosengren, SM Akdal, G Halmagyi, GM Black, DA Burke, D Prasad, M Bharathy, GK Welgampola, MS

BACKGROUND: Acute vestibular syndrome usually represents either vestibular neuritis (VN), an innocuous viral illness, or posterior circulation stroke (PCS), a potentially life-threatening event. Th...

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Gestational diabetes and mental health: longitudinal analysis of data from the GEMS randomized trial.

Ohene-Agyei, P Gamble, GD Tran, T Harding, JE Crowther, CA

PURPOSE: There is limited high-quality evidence about perinatal mental health among women with gestational diabetes. We aimed to assess the risks and longitudinal changes in anxiety, depression, an...

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Prompt Based Spatio Temporal Graph Transfer Learning

Hu, J Liu, X Fan, Z Yin, Y Xiang, S Ramasamy, S Zimmermann, R

Spatio-temporal graph neural networks have proven efficacy in capturing complex dependencies for urban computing tasks such as forecasting and kriging. Yet, their performance is constrained by the ...

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Modelling and optimization of TPMLMs with slotted stators based on Bayesian DNN

Wu, T Dai, P Zhu, K Zhu, Y

The Permanent Magnet Linear Motor (TPMLM) is widely used in different industrial fields. TPMLMs with slots and iron cores have high power density, but their thrust fluctuations and copper losses ar...

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The Selection of Biogas Plants in the Indian Context Based on Performability—An Analytic Hierarchy Process and Weighted Aggregated Sum Product Assessment Approach

Jamal, H Loganathan, MK Ramesh, PG Singh, M

The purpose of this research paper is to present a framework for selecting a biogas plant for the Indian rural community, considering performability factors such as reliability, quality, maintainab...

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