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Fault Diagnosis, Behavioural Analysis and Parameter Importance for a Domestic Air Conditioning System Using Machine Learning

open access: yesArtificial Intelligence for Engineering, EarlyView.
Fault detection models for domestic AC system, built by collecting raw data, systematically evaluating models and making parameter‐based inferences using statistical methods. ABSTRACT Fault detection and diagnosis in domestic air conditioning systems can greatly benefit from data‐driven approaches.
Chinmay Kane, Atharva Kaduskar
wiley   +1 more source

AML‐Net: Attention‐based multi‐scale lightweight model for brain tumour segmentation in internet of medical things

open access: yesCAAI Transactions on Intelligence Technology, EarlyView.
Abstract Brain tumour segmentation employing MRI images is important for disease diagnosis, monitoring, and treatment planning. Till now, many encoder‐decoder architectures have been developed for this purpose, with U‐Net being the most extensively utilised. However, these architectures require a lot of parameters to train and have a semantic gap. Some
Muhammad Zeeshan Aslam   +3 more
wiley   +1 more source

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