Results 251 to 260 of about 592,124 (303)

Flexible Implantable Silicon Carbide Multi‐Electrode Array (MEA) for Cell Multichannel Recording and Cell Ablation

Advanced Materials Technologies, EarlyView.
Flexible silicon carbide (SiC) microelectrode arrays enable high‐fidelity, multichannel cell extracellular recording and precise localized ablation. SiC has been extensively evaluated to persist long‐term in chronic physiological conditions while remaining robust, with excellent electrical and electrochemical stability.
Minh Anh Huynh, Matthew Barton, Sharda Yadav, Tuan‐Khoa Nguyen, Nam‐Trung Nguyen   +4 more
wiley   +1 more source

Context-Aware Contrastive Representation Learning for Zero-Shot Biomedical Text Classification. [PDF]

Proceedings (IEEE Int Conf Bioinformatics Biomed)
Mukherjee R, Jha K.
europepmc   +1 more source

When Cubic is Not Isotropic: Phonon–Exciton Decoupling in CuInSnS4 Single Crystals

Advanced Optical Materials, EarlyView.
A cubic CuInSnS4 crystal does not fully play by cubic rules. While phonons follow the average iso‐tropic lattice symmetry, the disorder‐localized excitons break away, showing strong, and reproduci‐ble polarization‐dependent emission. This work shows how intrinsic cation disorder can turn a mac‐roscopically cubic material into a source of hidden ...
Lara Kim Linke, Yvonne Tomm, Xinyun Liu, Galina Gurieva, Daniel M. Többens, Pardis Adams, Michel Calame, Ryan W. Crisp, Jessica Boland, Seán Kavanagh, Susan Schorr, Mirjana Dimitrievska   +11 more
wiley   +1 more source

Migrating birds optimization-based feature selection for text classification. [PDF]

PeerJ Comput Sci
Kaya C, Kilimci ZH, Uysal M, Kaya M.
europepmc   +1 more source

MuTCELM: An optimal multi-TextCNN-based ensemble learning for text classification. [PDF]

Heliyon
Agbesi VK, Chen W, Yussif SB, Ukwuoma CC, Gu YH, Al-Antari MA.   +5 more
europepmc   +1 more source

Text classification algorithm of tourist attractions subcategories with modified TF-IDF and Word2Vec. [PDF]

PLoS One
Xiao L, Li Q, Ma Q, Shen J, Yang Y, Li D.   +5 more
europepmc   +1 more source

CoGraphNet for enhanced text classification using word-sentence heterogeneous graph representations and improved interpretability. [PDF]

Sci Rep
Li P, Fu X, Chen J, Hu J.
europepmc   +1 more source

One size fits all: Enhanced zero-shot text classification for patient listening on social media. [PDF]

Front Artif Intell
Matoshi V, De Vuono MC, Gaspari R, Kröll M, Jantscher M, Nicolardi SL, Mazzola G, Rauch M, Sabol V, Salhofer E, Mariani R.   +10 more
europepmc   +1 more source

Research of multi-label text classification based on label attention and correlation networks. [PDF]

PLoS One
Yuan L, Xu X, Sun P, Yu HP, Wei YZ, Zhou JJ.   +5 more
europepmc   +1 more source

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The impact of preprocessing on text classification

Information Processing and Management, 2014
Preprocessing is one of the key components in a typical text classification framework. This paper aims to extensively examine the impact of preprocessing on text classification in terms of various aspects such as classification accuracy, text domain, text language, and dimension reduction.
Alper Kursat Uysal, Serkan Günal
exaly   +3 more sources