Results 61 to 70 of about 128,875 (283)

Towards Real-Time Detection and Tracking of Spatio-Temporal Features: Blob-Filaments in Fusion Plasma

, 2016
A novel algorithm and implementation of real-time identification and tracking of blob-filaments in fusion reactor data is presented. Similar spatio-temporal features are important in many other applications, for example, ignition kernels in combustion ...
Chang, Cs, Choi, Jong Y., Churchill, Michael, Klasky, Scott, Sim, Alex, Stathopoulos, Andreas, Wu, Kesheng, Wu, Lingfei   +7 more
core   +1 more source

Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics

Advanced Functional Materials, EarlyView.
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha, Yingshan Ma, Yong Nam An, Sung‐Un An, Hyeon Hak Jung, Suvi‐Tuuli Varjamo, Jiwon Yoo, Junho Min, Hanvit Kim, Faisal Ahmed, Sang Hoon Chae, Young Min Song, Weiwei Cai, Tawfique Hasan, Zhipei Sun, Dong‐Ho Kang, Hyeon‐Jin Shin, Yunyun Dai, Hoon Hahn Yoon   +18 more
wiley   +1 more source

Predicting Atomic Charges in MOFs by Topological Charge Equilibration

Advanced Functional Materials, EarlyView.
An atomic charge prediction method is presented that is able to accurately reproduce ab‐initio‐derived reference charges for a large number of metal–organic frameworks. Based on a topological charge equilibration scheme, static charges that fulfill overall neutrality are quickly generated.
Babak Farhadi Jahromi, Sumukh Shankar Sharadaprasad, Rochus Schmid   +2 more
wiley   +1 more source

Steganographer Identification

, 2019
Conventional steganalysis detects the presence of steganography within single objects. In the real-world, we may face a complex scenario that one or some of multiple users called actors are guilty of using steganography, which is typically defined as the
Breunig, Chen, Cortes, Erdogmus, Filler, Filler, Filler, Fridrich, Fridrich, Fridrich, Fridrich, Gretton, Guo, Hetzl, Holub, Holub, Holub, Holub, Ker, Ker, Ker, Ker, Ker, Ker, Ker, Ker, Kodovsky, Li, Li, Liu, Muandet, Pearson, Pevny, Pevný, Pevný, Pevný, Pevný, Rokach, Sahu, Sallee, Scholkopf, Shi, Song, Westfeld, Wu, Wu, Wu   +46 more
core   +1 more source

Conductance‐Dependent Photoresponse in a Dynamic SrTiO3 Memristor for Biorealistic Computing

Advanced Functional Materials, EarlyView.
A nanoscale SrTiO3 memristor is shown to exhibit dynamic synaptic behavior through the interaction of local electrical and global optical signals. Its photoresponse depends quantitatively on the conductance state, which evolves and decays over tunable timescales, enabling ultralow‐power, biorealistic learning mechanisms for advanced in‐memory and ...
Christoph Weilenmann, Hanglin He, Marko Mladenović, Till Zellweger, Kevin Portner, Klemens Bauer, Guillaume Bellec, Mathieu Luisier, Alexandros Emboras   +8 more
wiley   +1 more source

Outlier Detection from Network Data with Subnetwork Interpretation

, 2016
Detecting a small number of outliers from a set of data observations is always challenging. This problem is more difficult in the setting of multiple network samples, where computing the anomalous degree of a network sample is generally not sufficient ...
Basu, Prithwish, Dang, Xuan-Hong, Silva, Arlei, Singh, Ambuj, Swami, Ananthram   +4 more
core   +1 more source

Pixelation‐Free, Monolithic Iontronic Pressure Sensors Enabling Large‐Area Simultaneous Pressure and Position Recognition via Machine Learning

Advanced Functional Materials, EarlyView.
A pixelation‐free, monolithic iontronic pressure sensor enables simultaneous pressure and position sensing over large areas. AC‐driven ion release generates spatially varying impedance pathways depending on the pressure. Machine learning algorithms effectively decouple overlapping pressure–position signals from the multichannel outputs, achieving high ...
Juhui Kim, Junseo Lee, Kwang‐Hun Choi, Seongil Im, Jae Hong Kim, Changsoon Choi, Junghwan Byun, Changhwan Shin, Ho Won Jang, Hyunsu Ju, Jung Ah Lim   +10 more
wiley   +1 more source

Anomaly Detection with Sub-Extreme Values: Health Provider Billing

Data Science and Engineering, 2023
Anomaly detection within the context of healthcare billing requires a method or algorithm which is flexible to the practicalities and requirements of manual case review, the volumes and associated effort of which can determine whether anomalous output is
Rob Muspratt, Musa Mammadov
doaj   +1 more source

Microfluidic Platform for Multiparametric Profiling of Fibrin Permeability, Fibrinolysis, and Cell Invasion

Advanced Functional Materials, EarlyView.
This paper introduces a single‐channel H‐junction microfluidic assay that profiles fibrin's evolving function in repair and thrombosis by measuring, in one ∼3 µL gel, permeability, fibrinolysis kinetics, fibroblast invasion, and clot extension in real time.
Halston Deal, Elizabeth M. Byrnes, Sanika Pandit, Halle J. Cantor, Muskan Aslam, Stacy Ban, Megan Palmisano, Rosemary Bayless, Ashley C. Brown, Michael Daniele   +9 more
wiley   +1 more source

Extended Target Measurement Set Partition Algorithm Based on Second Level CFSFDP [PDF]

Jisuanji gongcheng, 2018
In an extended target Gaussian-mixture Probability Hypothesis Density(PHD) filtering,the partition of measurement set requires a lot of calculation,which leads to the decrease of the efficiency of the algorithm.To solve the problem,a new measurement set ...
CHI Luojia,FENG Xinxi,PU Lei,CAO Zhuo
doaj   +1 more source