Results 81 to 90 of about 23,984,354 (259)

Towards Meta-learning over Data Streams [PDF]

, 2014
Modern society produces vast streams of data. Many stream mining algorithms have been developed to capture general trends in these streams, and make predictions for future observations, but relatively little is known about which algorithms perform ...
Pfahringer, Bernhard, van Rijn, Jan N., Holmes, Geoffrey, Vanschoren, Joaquin   +3 more
core  

A survey of classification methods in data streams

, 2007
With the advance in both hardware and software technologies, automated data generation and storage has become faster than ever. Such data is referred to as data streams.
Zaslavsky, Arkady, Gaber, Mohamed Medhat,, Krishnaswamy, Shonali,   +2 more
core   +1 more source

Emerging Post‐CMOS Hardware Neurons for Brain‐Inspired Computing: Devices, Circuits, and System Integration

Advanced Functional Materials, EarlyView.
The physical realization of artificial neurons is a critical challenge for energy‐efficient neuromorphic computing. This review presents a comprehensive analysis of the evolution of artificial neuron implementations from conventional CMOS to emerging post‐CMOS technologies.
Kannan Udaya Mohanan, Hocheon Yoo, Benoît H. Lessard, Ioannis Kymissis, Chang‐Hyun Kim   +4 more
wiley   +1 more source

Sequential Multiple Concept Drifts and Change Point Detection for Regression Problems

Mathematics
This research advances the study of learning under non-stationary conditions by proposing a unified framework for concept drift detection and adaptive regression in evolving data streams.
Edgard M. Maboudou-Tchao, Randyll Pandohie   +1 more
doaj   +1 more source

Bio‐Inspired Artificial Ionic Mechanoreceptor

Advanced Functional Materials, EarlyView.
A skin‐inspired artificial mechanoreceptor based on ionic interactions is presented for biomimetic tactile sensing. Pressure‐driven ionic redistribution within microfluidic channels generates a self‐powered electrical signal without external bias. The generated waveform exhibits mechanoreceptor‐like temporal features, including overshoot and undershoot,
Mohammad Akbari, Jeppe Don, Lasse A. N. Pedersen, John Noee, Rassoul Tabassian   +4 more
wiley   +1 more source

DFU, Volume 5, Data Exchange, Integration, and Streams, Complete Volume

, 2013
DFU, Volume 5, Data Exchange, Information, and Streams, Complete ...
Lenzerini, Maurizio, Schweikardt, Nicole, Kolaitis, Phokion G.   +2 more
core   +1 more source

Continuous Nearest Neighbor Queries over Sliding Windows [PDF]

, 2007
—This paper studies continuous monitoring of nearest neighbor (NN) queries over sliding window streams. According to this model, data points continuously stream in the system, and they are considered valid only while they belong to a sliding window that ...
Papadias, Dimitris, Dimitris Papadias, Kyriakos Mouratidis, MOURATIDIS, Kyriakos   +3 more
core   +1 more source

Active Fuzzy Weighting Ensemble for Dealing with Concept Drift

International Journal of Computational Intelligence Systems, 2018
The concept drift problem is a pervasive phenomenon in real-world data stream applications. It makes well-trained static learning models lose accuracy and become outdated as time goes by.
Fan Dong, Jie Lu, Guangquan Zhang, Kan Li   +3 more
doaj   +1 more source

Advancing SafeWax, A Bio‐Inspired Superhydrophobic Coating, Toward Sustainable and Climate‐Resilient Crop Protection

Advanced Functional Materials, EarlyView.
This study advances SafeWax, a bio‐inspired, fatty‐acids‐based superhydrophobic coating, by identifying an agriculturally compliant solvent and revealing how solvent‐controlled Fatty acid crystallization governs the coating's microscopic structure and performance.
Niv Ben‐Arie, Iryna Polishchuk, Franziska Tauber, Coralie Schneider, Elena Prudnikov, Alessia Calora, Silvia Milita, Simona Fermani, Mireia Alejandra Ibanez Revert, Ilaria Filippetti, Claudio Ratti, Matthias Kellermeier, Markus Rueckel, Boaz Pokroy   +13 more
wiley   +1 more source

Homogeneous and heterogeneous distributed classification for pocket data mining [PDF]

, 2012
Pocket Data Mining (PDM) describes the full process of analysing data streams in mobile ad hoc distributed environments. Advances in mobile devices like smart phones and tablet computers have made it possible for a wide range of applications to run in ...
May, D., Philip S. Yu, Liu, Han, David May, Bramer, M., Mohamed Medhat Gaber, Max Bramer, Gaber, M., Han Liu, Yu, P., Paul Aldridge, Frederic Stahl, Stahl, F., Yu, P. S., Aldridge, P., Bramer, Max, Stahl, Frederic, Gaber, M. M., Liu, H.   +18 more
core   +1 more source