Results 241 to 250 of about 73,753 (309)

Can we predict surgical outcomes: A systematic review and critical appraisal of clinical prediction models in epilepsy surgery

Epilepsia, EarlyView.
Abstract Objective Prediction models are increasingly being sought in epilepsy surgery to predict postoperative outcomes and support clinical decision‐making. Studies summarizing the evidence in this area can provide insight into the type of surgical prediction models, their methodology, and their performance and inform areas for future research.
Alyssa A. Federico, Mandavi Kashyap, Chantelle Q. Y. Lin, Karl M. Klein, Olayinka I. Arimoro, Samuel Wiebe   +5 more
wiley   +1 more source

Machine Learning and the Use of Spectroscopy for Adulteration Detection in Turmeric Powder. [PDF]

Molecules
Kisalaei A, Sharabiani VR, Banakar A, Taghinezhad E, Szymanek M, Dziwulska-Hunek A.   +5 more
europepmc   +1 more source

Fully automated three‐dimensional deep learning‐based magnetic resonance imaging segmentation of brain cavities in epilepsy surgery

Epilepsia, EarlyView.
Abstract Objective There are several clinical and research applications for determining the amount of brain tissue resected after epilepsy surgery; however, manual segmentation of postoperative magnetic resonance imaging (MRI) is imprecise and time‐consuming.
Raphael Fernandes Casseb, Brunno Machado de Campos, Wallace Souza Loos, Marcelo Eduardo Ramos Barbosa, Marina Koutsodontis Machado Alvim, Gabriel Chagas Lutfala Paulino, Enrico Ghizoni, Francesco Pucci, Samuel Worrell, Clarissa Lin Yassuda, Roberto Medeiros de Souza, Lara Jehi, Fernando Cendes   +12 more
wiley   +1 more source

A robust multi-location evaluation of a machine learning framework for wind power forecasting. [PDF]

PLoS One
Ali U, Sufyan M, Ali S, Ahmad M, Rehman Khan SU, Raza N, Sultana J, Habib MA.   +7 more
europepmc   +1 more source

An SSI‐Informed Design for Tuned Mass Dampers With Small‐to‐Large Mass Ratios

Earthquake Engineering &Structural Dynamics, EarlyView.
ABSTRACT Tuned Mass Dampers (TMDs) are used to mitigate structural vibrations induced by seismic or wind excitation, by tuning the device to the system's dominant resonant frequencies. However, the TMD effectiveness can be undermined by soil‐structure interaction, which can lead to elongation of the vibration periods and to combined translational ...
Davide Noè Gorini, Pasquale Roberto Marrazzo, Elide Nastri, Rosario Montuori   +3 more
wiley   +1 more source

Comparative Evaluation of Machine Learning and Conventional Material Decomposition Algorithms for Spectral Chest Radiography Using a CdTe Photon-Counting Detector. [PDF]

Sensors (Basel)
Marupudi S, Ghammraoui B.
europepmc   +1 more source

Flow Characteristics and Response Surface Methodology‐Based Pressure‐Loss Prediction Models for the Reverse Circulation Converter in Double‐Wall Drill Pipes

Energy Science &Engineering, EarlyView.
Flow characteristics and pressure loss mechanisms of a reverse circulation converter in dual‐wall drill pipes are systematically investigated using CFD and response surface methodology. The results reveal the dominant role of inertial dissipation and provide a predictive framework for optimizing converter design and operational parameters. ABSTRACT The
Mingming Geng, Hui Zhang, Junpeng Li, Baokang Wu, Geng Zhang, Xinrui Wang, Jintao An, Long Chen, Yiming Ma   +8 more
wiley   +1 more source

Grey wolf optimization for sensory-driven fortification of biscuits with moringa leaf and jackfruit seed powders: balancing processing and consumer acceptance. [PDF]

Front Nutr
Kumar D, Kumar C, Kumar A, Sahoo C, Saini A, Sağlam K, Şimşek MA, Yıkmış S, Karrar E, Aljobair MO, Mohamed Ahmed IA.   +10 more
europepmc   +1 more source

Lifetime Analysis of Grid‐Tied Photovoltaic System Considering DC–DC Converter Ripple and Efficiency

Energy Science &Engineering, EarlyView.
This work presents a comprehensive lifetime analysis of a two‐stage grid‐tied photovoltaic (PV) system by incorporating critical factors such as input current ripple and operating voltage variations, which are often neglected in conventional studies.
Surla Vishnu Kanchana Naresh, Sankar Peddapati, Praveen Kumar Bonthagorla   +2 more
wiley   +1 more source

Optimization of Moving Cone Liner Dynamics and Health Status Prediction for Cone Crushers. [PDF]

Sensors (Basel)
Li M, Fu R, Wu D, Zhao L.
europepmc   +1 more source