Results 151 to 160 of about 352,450 (292)

Noise reduction technique for scanning tunneling microscopy [PDF]

, 1988
David W. Abraham, C. C. Williams, H. K. Wickramasinghe   +2 more
openalex   +1 more source

Domain general noise reduction for time series signals with Noisereduce. [PDF]

Sci Rep
Sainburg T, Zorea A.
europepmc   +1 more source

Cu‐Based MOF/TiO2 Composite Nanomaterials for Photocatalytic Hydrogen Generation and the Role of Copper

Advanced Functional Materials, EarlyView.
HKUST‐1/TiO2 composite materials show a very high photocatalytic hydrogen evolution rate which increases as a function of the irradiation time until reaching a plateau and even surpasses the performance of the 1%Pt/TiO2 material after three photocatalytic cycles.
Alisha Khan, Marie Le Pivert, Alireza Ranjbari, Diana Dragoe, Daniel Bahena‐Uribe, Christophe Colbeau‐Justin, Christian Herrero, Dorota Rutkowska‐Zbik, Johnny Deschamps, Hynd Remita   +9 more
wiley   +1 more source

CICADA: An automated and flexible tool for comprehensive fMRI noise reduction. [PDF]

Imaging Neurosci (Camb)
Dodd K, McHugo M, Sarabia L, Wylie KP, Legget KT, Cornier MA, Tregellas JR.   +6 more
europepmc   +1 more source

Experimental and Theoretical Confirmation of Covalent Bonding in α‐Pu

Advanced Functional Materials, EarlyView.
From a combination of Reverse Monte Carlo dynamic rigid body fitting to the pair distribution functional and novel density functional approaches, the existence of covalent bonding is confirmed in α‐plutonium alongside other bonding types (i.e. mixed bonding schemes).
Alexander R. Muñoz, Matthew S. Cook, David C. Arellano, AM Milinda Abeykoon, Jeremy N. Mitchell, Sarah C. Hernandez, Eric D. Bauer, Christopher A. Mizzi, Boris Maiorov, Neil Harrison, W. Adam Phelan   +10 more
wiley   +1 more source

Quantifying the effects of noise reduction [PDF]

, 1985
Dale Hattis, Nicholas A. Ash́ford
openalex   +1 more source

Machine Learning‐Enabled Polymer Discovery for Enhanced Pulmonary siRNA Delivery

Advanced Functional Materials, EarlyView.
This study provides an efficient approach to train a machine learning model by merging heterogeneous literature data to predict suitable polymers for siRNA delivery. Without the need for extensive laboratory synthesis, the machine learning enabled a virtual screening and successfully predicted a polymer that is validated for effective gene silencing in
Felix Sieber‐Schäfer, Min Jiang, Adrian Kromer, Anny Nguyen, Müge Molbay, Simone Pinto Carneiro, David Jürgens, Gerald Burgstaller, Bastian Popper, Benjamin Winkeljann, Olivia Monika Merkel   +10 more
wiley   +1 more source

Studies on the Methods for Reduction of Vibration and Noise in Spur Gears : Part 3, The Effect of the Profile Correction

, 1975
Satoshi KIYONO, Masanori FUJIMURA, Susumu Satô, Toshio AIDA   +3 more
openalex   +2 more sources

Wind noise reduction in blast noise measurement [PDF]

, 1983
Mark Wagner
openalex   +1 more source

Advancements in noise reduction for wheel speed sensing using enhanced LSTM models. [PDF]

Sci Rep
Lin SL.
europepmc   +1 more source