Results 241 to 250 of about 9,169,616 (322)

Glioma Grade Classification Using Machine Learning and MRI Radiomics: A Single-Center Prospective Study Comparing Original and Wavelet-Transformed Features From Anatomical, Diffusion-Weighted, and Post-Contrast Imaging. [PDF]

Health Sci Rep
Khorasani A, Shahbazi-Gahrouei D.
europepmc   +1 more source

Predicting Solar Photovoltaic Power Output in Saudi Arabia's Jazan Region: Performance Comparison of Machine Learning Models

Energy Science &Engineering, EarlyView.
Workflow of the PV power estimation and ML forecasting methodology. ABSTRACT Accurate prediction of solar panel energy output is vital for managing power systems effectively and maintaining a stable electrical grid. This is especially important in regions that rely heavily on renewable sources. This research provides a direct comparison of five machine
Abdoalateef Alzhrani, Abdullahi Abubakar Mas'ud, Mohd Khairul Amri Kamarudin, Firdaus Muhammad‐Sukki, Abdullahi Mohammad   +4 more
wiley   +1 more source

Psychosocial Stress in the Chinese Community: Speech Analytics Through Linguistic and Acoustic Fusion Using Machine Learning. [PDF]

JMIR Biomed Eng
Chu AMY, Lam BSY, Tsang JTY, Tiwari A, Chan JNL, So MKP.   +5 more
europepmc   +1 more source

Smart Parking Systems: A Review of Optimization Techniques and Technological Advances

Energy Science &Engineering, EarlyView.
This review highlights optimization techniques and recent technological advances in smart parking systems, emphasizing their role in enhancing efficiency, reducing congestion, and improving user experience. It provides insights into innovative approaches that shape the future of sustainable and intelligent urban mobility. ABSTRACT In heavily populated,
Amirhossein Khosravi Sarvenoee, Mohammad Kohzadipour, Majid Valizadeh, Mohammad Saeedi Kia, Milad Karimian, Mohammad Sharifirad   +5 more
wiley   +1 more source

Fault‐Specific Diagnostic Regions Based on Normalized DC Voltage and Current Indices for Photovoltaic Systems Using Routine Inverter and Environmental Data

Energy Science &Engineering, EarlyView.
This study proposes a fault diagnostic approach for photovoltaic systems using normalized DC voltage and current indices derived from routinely collected inverter and environmental data. The approach enables string‐ and array‐level fault diagnosis without additional measurement equipment and supports operation and maintenance decision‐making.
Woo Gyun Shin, Jin Seok Lee, Young Chul Ju, Hye Mi Hwang, Jongchul Lim, Suk Whan Ko   +5 more
wiley   +1 more source

Machine learning-based risk prediction model for postoperative abdominal distension after spinal surgery under general anesthesia. [PDF]

Front Med (Lausanne)
Wu C, Xie L, Zhou S, Hu Y, Li X, Huang Z, Yang D, Mou X.   +7 more
europepmc   +1 more source

Context‐aware machine learning for lameness side and severity prediction in trotting horses: A proof‐of‐concept study

Equine Veterinary Journal, EarlyView.
Abstract Background In clinical practice, lameness evaluation often relies on visual assessment under different examination conditions, including ground and figures, and remains subjective. Although objective symmetry indices provide quantitative measures of gait asymmetry, their interpretation across multiple conditions remains challenging because ...
Mahaut Gérard, Sandrine Hanne‐Poujade, Guillaume Dubois, Camille Hébert, Virginie Coudry, Sandrine Jacquet, Lélia Bertoni, Amélie Tallaj, Neila Mezghani, Henry Chateau   +9 more
wiley   +1 more source

Predicting Primary Refractory Diffuse Large B-Cell Lymphoma: A Comparison of Machine Learning Models with the IPI Score. [PDF]

J Clin Med
Minciuna CD, Minciuna D, Vasilache IA, Miron L.   +3 more
europepmc   +1 more source

Triboelectric nanogenerators for vehicle intelligent cockpits

FlexMat, EarlyView.
Converting mechanical stimuli from drivers and vehicle motion into electrical signals, triboelectric nanogenerators provide promising interfaces toward passive, flexible, distributed and intelligent sensing for next‐generation automotive cockpits to support three core functional dimensions: driver state monitoring, vehicle state monitoring, and human ...
Haiqiu Tan, Shiquan Lü, Xiangwei Meng, Huiying Zhang, Wenxing Zhang, Dongxian Sun, Xiao Lu, Lei Wang, Haodong Zhang, William W. Yu   +9 more
wiley   +1 more source

Rapid antifungal phenotypic detection of <i>Candida tropicalis</i> based on laser-scattering technology combined with machine learning. [PDF]

Front Cell Infect Microbiol
Sun J, Liang X, Song S, Zhao S, Zhao X, Deng X, Li J, Jiang F, Kang H.   +8 more
europepmc   +1 more source