Results 51 to 60 of about 27,689 (231)
Deep learning is being employed in disease detection and classification based on medical images for clinical decision making. It typically requires large amounts of labelled data; however, the sample size of such medical image datasets is generally small.
Guangzhou An +4 more
doaj +1 more source
Long-Term Results after DMEK (Descemet’s Membrane Endothelial Keratoplasty) [PDF]
Ziel der Arbeit: Evaluation der langfristigen Ergebnisse sowie der Komplikationsrate nach Descemet’s Membran Endothelialen Keratoplastik (DMEK) Methoden: Eine cross-sectional, Fall-Serien Studie.
Wardeh, Rima
core +1 more source
Carbon/Silicon Heterojunction Solar Cells: Status and Perspectives
This review examines carbon/silicon heterojunctions and highlights the advantages of carbon materials in terms of cost‐effectiveness, low‐temperature processing, and scalability. It adopts a comprehensive approach to bridge the gap between laboratory‐scale innovations and industrial‐scale applications, incorporating current state‐of‐the‐art findings ...
Randi Azmi +6 more
wiley +1 more source
In this study, sunset glow fundus was evaluated in patients with Vogt–Koyanagi–Harada (VKH) disease using polarization-sensitive optical coherence tomography (PS-OCT).
Masahiro Miura +9 more
doaj +1 more source
Comparative Analysis of Metal Preloading Technologies in Batteries and Capacitors
Metal preloading strategies play an important role in efficient batteries and hybrid capacitors to compensate for the consumed metals at the first discharge. This article reviews recent progress in preloading technologies in lithium‐ion and other metal‐ion systems.
Xuexue Pan +3 more
wiley +1 more source
This study introduces a self‐supervised machine learning approach integrating physics‐based principles to estimate open‐circuit voltage (voc$$ {v}_{oc} $$) degradation in photovoltaic systems using SCADA data. By combining clustering and regression algorithms, our method detects performance deviations without labelled datasets.
Sandra Riaño +4 more
wiley +1 more source
Crystalline Silicon (c-Si)-Based Tunnel Oxide Passivated Contact (TOPCon) Solar Cells: A Review
Contact selectivity is a key parameter for enhancing and improving the power conversion efficiency (PCE) of crystalline silicon (c-Si)-based solar cells.
Hayat Ullah +5 more
doaj +1 more source
UV degradation analysis of TOPCon cells
In the field of photovoltaics (PVs), tunnel oxide passivating contacts (TOPCon) cells have emerged as one of the mainstream cell structures adopted by PV module manufacturers, primarily due to their high photovoltaic conversion efficiency and excellent low-light performance. Ensuring the long-term reliability of TOPCon cells and modules is crucial, and
Wenjing Xu +3 more
openaire +2 more sources
Numerical simulations were employed to boost industrial TOPCon cells from 25.5% to 26.07% by suppressing J0e,metal,eff without compromising ρc with a dual optimization strategy: (1) engineering the selective emitter sheet resistance (Rsh_SE) to 117 Ω/□ and (2) reducing the LECO‐induced partial metal contact ratio (fpmc) to 1%.
Jiayu Xu +11 more
wiley +1 more source
This study aimed to develop a quantitative analysis program of blood flow velocity by vessel diameter in neovascular age-related macular degeneration (nAMD) subjects using high-speed swept-source optical coherence tomography angiography.
Fumi Tanaka +7 more
doaj +1 more source

