Results 161 to 170 of about 307,816 (329)

How to Reduce Anomaly Detection in Images to Anomaly Detection in Noise [PDF]

Image Processing On Line, 2019
Jean-Michel Morel, Axel Davy, Mauricio Delbracio, Thibaud Ehret   +3 more
openaire   +1 more source

Exploring the Potential of Silicon Clathrate Films with NiOx‐Based Selective Contacts for Optoelectronic Devices

Advanced Materials Interfaces, EarlyView.
Silicon clathrates are a promising class of materials with a unique, cage‐like structure that differs from the conventional cubic diamond crystalline silicon (c‐Si) structure. Type I silicon clathrates are metallic, while type II clathrates are semiconductors with a wide bandgap, which can exceed 1.9 eV.
Charif Tamin, Anil Kumar Bharwal, Céline Chevalier, Alain Fave, Erwann Fourmond, Stéphane Roques, Aziz Dinia, Abdelilah Slaoui, Thomas Fix   +8 more
wiley   +1 more source

The Detection of¹³CO and Other Apparent Abundance Anomalies in the Secondary Stars of Long-Period Cataclysmic Variables [PDF]

, 2004
T. E. Harrison, H. Osborne, Steve B. Howell   +2 more
openalex   +1 more source

Engineering Reversible Zn Anode through Current Collector Design: Progress and Prospect

Advanced Materials Interfaces, EarlyView.
The strategic design of the current collector for Zn anodes effectively optimizes the Zn plating/stripping behavior, thereby extending the battery lifetime. Recent studies on Zn anode current collectors are summarized according to different classifications of current collectors, with the focus on the discussion in design strategies.
Zixiang Meng, Zixiong Shi, Yuhan Zou, Yan Li, Jingyu Sun   +4 more
wiley   +1 more source

Improving genome annotations using phylogenetic profile anomaly detection [PDF]

, 2004
Tarjei S. Mikkelsen, James E. Galagan, Jill P. Mesirov   +2 more
openalex   +1 more source

Deep Learning Analysis of Solid‐Electrolyte Interphase Microstructures in Lithium‐Ion Batteries

Advanced Materials Interfaces, EarlyView.
A transformer‐based deep learning model is developed for segmenting and analyzing high‐resolution TEM images of the solid‐electrolyte interphase (SEI) in lithium‐ion batteries. The model is trained on DFT‐based simulated images and predicts SEI grain and grain boundaries, revealing key microstructural features that govern ion transport and degradation.
Ishraque Zaman Borshon, Vahid Jabbari, Todd A. Kingston, Reza Shahbazian‐Yassar, Vitaliy Yurkiv   +4 more
wiley   +1 more source

Temporal Subtraction Technique for Detection of Subtle Anomalies on Temporally Sequential Bone-subtracted Chest Radiographs by Energy Subtraction

, 2000
Shigeru Sanada, Takeshi Kobayashi, Megumi Yoshida, Takeshi Matsui, Tsutomu Takashima   +4 more
openalex   +2 more sources

Combining routing and traffic data for detection of IP forwarding anomalies [PDF]

, 2004
Matthew Roughan, Tim Griffin, Morley Mao, Albert Greenberg, Brian Freeman   +4 more
openalex   +1 more source

From the Discovery of the Giant Magnetocaloric Effect to the Development of High‐Power‐Density Systems

Advanced Materials Technologies, EarlyView.
The article overviews past and current efforts on caloric materials and systems, highlighting the contributions of Ames National Laboratory to the field. Solid‐state caloric heat pumping is an innovative method that can be implemented in a wide range of cooling and heating applications.
Agata Czernuszewicz, Yaroslav Mudryk, Jun Cui, Lucas Griffith, Duane D. Johnson, Julie Slaughter   +5 more
wiley   +1 more source

Detection of subsurface anomalies in composite bridge decks using infrared thermography

, 2000
Hasan Moh'd Alqennah
openalex   +2 more sources