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Multi-Person Localization Based on a Thermopile Array Sensor with Machine Learning and a Generative Data Model.
Sensors (Basel)
January 2025
Laboratory of Adaptive Lighting Systems and Visual Processing, Technical University of Darmstadt, Hochschulstr. 4a, 64289 Darmstadt, Germany.
Thermopile sensor arrays provide a sufficient counterbalance between person detection and localization while preserving privacy through low resolution. The latter is especially important in the context of smart building automation applications. Current research has shown that there are two machine learning-based algorithms that are particularly prominent for general object detection: You Only Look Once (YOLOv5) and Detection Transformer (DETR).
View Article and Find Full Text PDFOptimal Machine Learning Models for Developing Prognostic Predictions in Patients With Advanced Cancer.
Cureus
December 2024
Mathematics, Keio University, Yokohama, JPN.
Context: Accurate prognosis prediction for cancer patients in palliative care is critical for clinical decision-making and personalized care. Traditional statistical models have been complemented by machine learning approaches; however, their comparative effectiveness remains underexplored.
Objectives: To assess the prognostic accuracy of statistical and machine learning models in predicting 30-day survival in patients with advanced cancer using objective data, such as the result of the blood test.
Comparative technoeconomic analysis of centralised and decentralised water source heat pump systems using CATHeaPS.
Heliyon
January 2025
James Watt School of Engineering, University of Glasgow, Glasgow, G12 8QQ, UK.
In the efforts to decarbonise the heat sector, heat pumps can offer a cost-effective transition away from fossil fuels. Water Source Heat Pumps (WSHP) can be utilised in cases where ambient water sources (river, ground water, abandoned mines water) are present. However, the economic benefits of different levels of heat pump centralisation as well as their comparative advantages over other decentralised options such as individual Air Source Heat Pumps (ASHP) or Gas Boilers (GB) remain uncertain and further investigations are necessary to fully assess their potential.
View Article and Find Full Text PDFA Comparative Study Between Posterolateral Lumbar Fusion and Transforaminal Lumbar Interbody Fusion for Degenerative Lumbar Spondylolisthesis.
Cureus
December 2024
Department of Orthopedics, Sri Devaraj Urs Academy of Higher Education and Research, Kolar, IND.
Introduction Degenerative spondylolisthesis (DS) is a degenerative condition characterized by subluxation of one vertebral body anterior to the adjacent inferior vertebral body with an intact pars. Conservative treatment approaches, such as steroid injections and physical therapy, may work well at first, but in resistant situations, surgery is frequently necessary. Posterolateral lumbar fusion (PLF) has been widely used, but transforaminal lumbar interbody fusion (TLIF) offers theoretical advantages such as improved alignment and enhanced fusion rates.
View Article and Find Full Text PDFComparison of Post-auricular Soft Tissue and Post-auricular Soft Tissue With Autologous Bone Pate in Obliteration of the Canal Wall Down Mastoidectomy Cavity.
Cureus
December 2024
Department of Otolaryngology, Head and Neck Surgery, Sri Devaraj Urs Academy of Higher Education and Research, Kolar, IND.
Background The surgical management of chronic otitis media (COM) with squamous disease is canal wall down mastoidectomy (CWDM). Canal wall down procedures require the obliteration of the newly formed cavity to mitigate complications. Soft tissue flaps, including Rambo flap, Hong Kong flap, Palva flap, and inferior-based fascio-periosteal flap, as well as autologous bone pâté, have been the most successful and commonly used materials for obliteration over the past two decades.
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