Results 171 to 180 of about 44,401 (264)

Subclass-Aware Contrastive Semi-Supervised Learning for Inflammatory Bowel Disease Classification from Colonoscopy Images. [PDF]

Bioengineering (Basel)
Lin K, Ruan G, Zou X, Nian Y, Wei Y, Zheng G.   +5 more
europepmc   +1 more source

Model‐Based Bayesian Optimization for Organic Photovoltaics: Combining Bayesian Optimization With Physical Domain Knowledge

Advanced Energy Materials, EarlyView.
Integration of a physical solar cell model into Bayesian optimization is performed using the Knowledge Gradient acquisition function to balance exploration and exploitation. Experimental validation on the PTQ10:BTP‐eC9 material system and statistical validation on an OPV benchmark function show that the model‐based approach outperforms conventional ...
Leonard Christen, Thomas Kirchartz
wiley   +1 more source

Semi-Supervised Learning for Predicting Multiple Sclerosis. [PDF]

J Pers Med
Kotsiantis S, Melagraki G, Verykios V, Sakagianni A, Matsoukas J.   +4 more
europepmc   +1 more source

Electrocatalytic Urea Waste Valorization via Water Electrolysis: Transition‐Metal Phosphides for Sustainable Hydrogen Production

Advanced Energy Materials, EarlyView.
This article provides a comprehensive analysis of transition metal phosphides (TMP) as electrocatalysts for urea‐assisted water electrolysis, highlighting the critical role of phosphorus engineering in modulating electronic structure, optimizing active sites, and enhancing catalytic durability.
Shivalingayya Gaddimath, Varsha Kashanner, Soumya Kulkarni, Vishal Sorathiya, Anitha Bamani, Rajveer Singh Rajaura, Mahaveer Kurkuri, Shambhulinga Aralekallu, Yogendra Kumar Mishra   +8 more
wiley   +1 more source

Domain-adaptive semi-supervised learning for efficient rare pathological lesion detection with minimal annotation. [PDF]

NPJ Digit Med
Matsui I, Matsumoto A, Imai A, Okushima H, Niioka H, Abe M, Tamai N, Nagasu H, Kanda E, Uchino E, Sofue T, Imasawa T, Yano Y, Kinashi H, Miyoshi KI, Harada T, Nagasawa Y, Fujimoto K, Kurokawa Y, Kato S, Kaseda R, Koizumi M, Kusunoki Y, Ohya M, Kawazoe Y, Abe H, Matsukuma Y, Kosugi T, Ueda Y, Fujii N, Takeji M, Suzuki A, Nagatoya K, Oka K, Ando Y, Izumi M, Komiya T, Tsukamoto T, Mimura I, Kuragano T, Nakano T, Tsuruya K, Ito Y, Minamino T, Yamaguchi O, Yamamoto S, Komaba H, Furuichi K, Fukami K, Araki SI, Masaki T, Tsuboi N, Yokoyama H, Shimizu A, Ushiku T, Maruyama S, Yanagita M, Nangaku M, Yamamoto R, Inoue K, Isaka Y.   +60 more
europepmc   +1 more source

Design Principles of Electrocatalysts for Industrial‐Scale Water Electrolysis

Advanced Energy Materials, EarlyView.
This Review distills electrocatalyst design for industrial‐scale water electrolysis into integrated principles linking active‐site engineering, phase and lattice modulation, interfacial microenvironment regulation and mass‐transport control. By connecting catalyst families with HER/OER mechanisms and practical operating demands, it outlines pathways ...
Hong Tang, Cui Ce, John Wang
wiley   +1 more source

River extraction from high-resolution remote sensing images based on non-uniform sampling and semi-supervised learning. [PDF]

Sci Rep
Wang K, Han L, Li L.
europepmc   +1 more source

Recent Advances in Functional Liver Volumetry: Emphasis on 99mTc‐GSA SPECT/CT Fusion Imaging

Annals of Gastroenterological Surgery, EarlyView.
Functional liver volumetry enables more accurate assessment of the future liver remnant by integrating anatomical and functional information, improving risk stratification before major hepatectomy. Among available techniques, 99mTc‐GSA SPECT/CT fusion imaging enables precise regional functional assessment and more reliable prediction of post ...
Toru Beppu, Toshiro Masuda, Yasunori Nagayama, Hidetoshi Nitta, Hiromitsu Hayashi   +4 more
wiley   +1 more source

Advanced fault diagnosis in milling cutting tools using vision transformers with semi-supervised learning and uncertainty quantification. [PDF]

Sci Rep
Siddique MF, Umar M, Ahmad W, Kim JM.
europepmc   +1 more source

Population balance modeling and digital design of degree of agglomeration in industrial crystallization

AIChE Journal, EarlyView.
Abstract This study presents a coupled population balance model (PBM) for describing the degree‐of‐agglomeration (DoA) in crystallization by independently tracking total particle and agglomerate number densities. Applied to an industrial active pharmaceutical ingredient, the model outperformed bridge‐counting methods and accurately captured DoA trends ...
Yung‐Shun Kang, Hemalatha Kilari, Neda Nazemifard, C. Benjamin Renner, Yihui Yang, Charles Papageorgiou, Zoltan K. Nagy   +6 more
wiley   +1 more source