[HTML][HTML] Energy consumption prediction by using machine learning for smart building: Case study in Malaysia

MKM Shapi, NA Ramli, LJ Awalin - Developments in the Built Environment, 2021 - Elsevier
Abstract Building Energy Management System (BEMS) has been a substantial topic
nowadays due to its importance in reducing energy wastage. However, the performance of …

Trans-boundary land cover changes and its influences on water crisis: Case study of the Aras River

M Mirzaei, A Jafari, J Verrlest, M Haghighi… - Applied …, 2020 - Elsevier
In a watershed, disturbing land covers (LCs) are one of the most important factors in the
balance and flow rate of water. This study aimed to monitor and model LC changes in the …

Machine learning models for classification of Cushing's syndrome using retrospective data

S Isci, DSY Kalender, F Bayraktar… - IEEE Journal of …, 2021 - ieeexplore.ieee.org
Accurate classification of Cushing's Syndrome (CS) plays a critical role in providing the early
and correct diagnosis of CS that may facilitate treatment and improve patient outcomes …

Involuntary Breathing Movement Pattern Recognition and Classification via Force-Based Sensors

RE Singh, JM Fleury, S Gupta, NP Bachman… - Biomechanics, 2022 - mdpi.com
The study presents a novel scheme that recognizes and classifies different sub-phases
within the involuntary breathing movement (IBM) phase during breath-holding (BH). We …

Attribute Noise, Classification Technique, and Classification Accuracy

RIP Wickramasinghe - Data Analytics and Decision Support for …, 2017 - Springer
Binary data classification is an integral part in cyber-security, as most of the response
variables follow a binary nature. The accuracy of data classification depends on various …

Probabilistic data-Driven method for limb movement detection during sleep

M Cesari, JAE Christensen, P Jennum… - 2018 40th Annual …, 2018 - ieeexplore.ieee.org
Periodic limb movement disorder (PLMD) is a sleep disorder characterized by repetitive limb
movements (LM) during night. The gold standard for LM detection consists of visual analysis …

Production Planning in the Context of Industry 4.0 with Focus on Efficient Job Allocation & Workers' Real-Time Status

AM Albassam - 2023 - search.proquest.com
Abstract Industry 4.0 (I4. 0) has emerged a distinct impact on industrial workforce and
created demand for diverse set of workforce skills and domain knowledge. Accordingly, I4. 0 …

Implementasi Support Vector Machine (SVM) dalam penentuan klasifikasi indeks khusus penanganan stunting di Indonesia

VAN Syafika - 2023 - etheses.uin-malang.ac.id
Segala puji bagi Allah SWT atas segala rahmat, taufik, serta hidayah-Nya sehingga penulis
dapat menyelesaikan penulisan skripsi yang berjudul “Implementasi Support Vector …

Machine Learning Models for Diagnosis of Cushing's Syndrome Using Retrospective Data

S Isci, DSY Kalender, F Bayraktar, A Yaman - medRxiv, 2020 - medrxiv.org
Accurate classification of Cushing's Syndrome (CS) plays a critical role in providing early
and correct diagnosis of CS that may facilitate treatment and improve patient outcomes …