Results 51 to 60 of about 27,286 (231)

Advanced TOPCon solar cells with patterned p-type poly-Si fingers on the front side and vanishing metal induced recombination losses

EPJ Photovoltaics
The silicon photovoltaic industry is rapidly expanding production capacity for TOPCon solar cells and surveys such as the ITRPV 2024 forecast worldwide market dominance for this cell concept from the year 2024 and beyond.
Hoß Jan, Kalaghichi Saman Sharbaf, Comak Mertcan, Preis Pirmin, Lossen Jan, Linke Jonathan, Koduvelikulathu Lejo Joseph, Buchholz Florian   +7 more
doaj   +1 more source

PENGGUNAAN GPS GEODETIK TOPCON HIPER II BESERTA PENGOLAHANNYA MENGGUNAKAN TOPCON TOOLS v.8.2 [PDF]

, 2015
Peran GPS Geodetik sampai saat ini semakin berkembang, dan penting keberadaannya. Salah satunya adalah yang penulis ambil sebagai judul laporan akhir ini yaitu “Penggunaan GPS Geodetik Topcon Hiper II Beserta Pengolahannya Menggunakan Topcon Tools v.8.2”.
Azhari, Azan
core  

Dysflective cones: Visual function and cone reflectivity in long-term follow-up of acute bilateral foveolitis. [PDF]

, 2017
PURPOSE:Confocal adaptive optics scanning laser ophthalmoscope (AOSLO) images provide a sensitive measure of cone structure. However, the relationship between structural findings of diminished cone reflectivity and visual function is unclear.
Cunningham, Emmett T, Duncan, Jacque L, Foote, Katharina G, Gorin, Michael B, Lujan, Brandon J, Qin, Jia, Ratnam, Kavitha, Roorda, Austin, Tu, Joanna H, Tuten, William S   +9 more
core   +1 more source

A Self‐Supervised Machine Learning Approach for the Estimation of Open‐Circuit Voltage Degradation in Photovoltaic Systems

Progress in Photovoltaics: Research and Applications, EarlyView.
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, Jose‐Domingo Santos, Miguel Esteras, Amaia Abanda, Javier Del Ser   +4 more
wiley   +1 more source

Hierarchical deep learning models using transfer learning for disease detection and classification based on small number of medical images

Scientific Reports, 2021
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, Masahiro Akiba, Kazuko Omodaka, Toru Nakazawa, Hideo Yokota   +4 more
doaj   +1 more source

Real‐world outcomes of aflibercept 8 mg in patients previously treated for neovascular age‐related macular degeneration

Acta Ophthalmologica, EarlyView.
Abstract Purpose To evaluate visual, anatomical and safety outcomes of aflibercept 8 mg in previously treated patients with neovascular age‐related macular degeneration (nAMD). Methods This retrospective study included nAMD patients switched to aflibercept 8 mg from prior anti‐VEGF therapies at Sahlgrenska University Hospital between February 2024 and ...
Imadeddin Abu Ishkheidem, Esra Inci, Martin Breimer, Sofia Töyrä Silfverswärd, Madeleine Zetterberg, Marita Andersson Grönlund   +5 more
wiley   +1 more source

Crystalline Silicon (c-Si)-Based Tunnel Oxide Passivated Contact (TOPCon) Solar Cells: A Review

Energies, 2023
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, Stanislaw Czapp, Seweryn Szultka, Hanan Tariq, Usama Bin Qasim, Hassan Imran   +5 more
doaj   +1 more source

Electric field modulation of thermopower for transparent amorphous oxide thin film transistors

, 2010
To clarify the electronic density of states (DOS) around the conduction band bottom for state of the art transparent amorphous oxide semiconductors (TAOSs), InGaZnO4 and In2MgO4, we fabricated TAOS-based transparent thin film transistors (TTFTs) and ...
Ikuhara, Yuichi, Kato, Takeharu, Koide, Hirotaka, Koumoto, Kunihito, Nagao, Yuki, Ohta, Hiromichi, Takasaki, Yuka, Umemura, Tomonari   +7 more
core   +1 more source

Retinal Nerve Fiber Layer Features Identified by Unsupervised Machine Learning on Optical Coherence Tomography Scans Predict Glaucoma Progression. [PDF]

, 2018
Purpose:To apply computational techniques to wide-angle swept-source optical coherence tomography (SS-OCT) images to identify novel, glaucoma-related structural features and improve detection of glaucoma and prediction of future glaucomatous progression.
Belghith, Akram, Bowd, Christopher, Christopher, Mark, Goldbaum, Michael H, Medeiros, Felipe A, Saunders, Luke J, Weinreb, Robert N, Zangwill, Linda M   +7 more
core   +1 more source

Customizing AI‐based screening with real‐world data: Practical insights from diabetic retinopathy

Acta Ophthalmologica, EarlyView.
Abstract Purpose Diabetic retinopathy (DR) is a leading cause of vision loss in middle‐aged adults globally. Although artificial intelligence (AI)‐based screening tools like IDx‐DR (classification) and Thirona RetCAD (regression) have shown high sensitivity in controlled settings, real‐world screening faces challenges due to missing or low‐quality ...
Broder Poschkamp, Liane Kantz, Petra Augstein, Allam Tayar, Lars Kaderali, Martin Busch, Beathe Bohl, Sebastian Paul, Lisa Lüdtke, Marie‐Christine Bründer, Daniel Schulz, Hanna Grabow, Elke Gens Dipl, Antonia Müller, Emily Martin, Wolfgang Kerner, Jörg Reindel, Andreas Stahl   +17 more
wiley   +1 more source