Results 51 to 60 of about 452,378 (262)

Electroactive Metal–Organic Frameworks for Electrocatalysis

Advanced Functional Materials, EarlyView.
Electrocatalysis is crucial in sustainable energy conversion as it enables efficient chemical transformations. The review discusses how metal–organic frameworks can revolutionize this field by offering tailorable structures and active site tunability, enabling efficient and selective electrocatalytic processes.
Irena Senkovska, Yutong Luo, Ruyan Zhao, Jianjun Zhang, Mingchao Wang, Xinliang Feng, Eike Brunner, Stefan Kaskel   +7 more
wiley   +1 more source

Aggregation-Based Ensemble Classifier Versus Neural Networks Models for Recognizing Phishing Attacks

IEEE Access
This contribution proposes a classifier designed to reduce the number of false positive detections. It is a self-tuning model, tested in the context of phishing link detection.
Wojciech Galka, Jan G. Bazan, Urszula Bentkowska, Kamil Szwed, Marcin Mrukowicz, Pawel Drygas, Lech Zareba, Marcin Szpyrka, Piotr Suszalski, Sebastian Obara   +9 more
doaj   +1 more source

Incremental cluster validity index-guided online learning for performance and robustness to presentation order [PDF]

, 2021
Leonardo Enzo Brito da Silva, Nagasharath Rayapati, Donald C. Wunsch   +2 more
openalex   +1 more source

Batch-Incremental Learning for Mining Data Streams [PDF]

, 2004
The data stream model for data mining places harsh restrictions on a learning algorithm. First, a model must be induced incrementally. Second, processing time for instances must keep up with their speed of arrival.
Bainbridge, David, Holmes, Geoffrey, Kirkby, Richard Brendon   +2 more
core   +1 more source

Functional Materials for Environmental Energy Harvesting in Smart Agriculture via Triboelectric Nanogenerators

Advanced Functional Materials, EarlyView.
This review explores functional and responsive materials for triboelectric nanogenerators (TENGs) in sustainable smart agriculture. It examines how particulate contamination and dirt affect charge transfer and efficiency. Environmental challenges and strategies to enhance durability and responsiveness are outlined, including active functional layers ...
Rafael R. A. Silva, Giulio Fatti, Emanuel Carlos, Guilherme Ferreira, Sumita Goswami, Suman Nandy, Luiz H. C. Mattoso, Elvira Fortunato, Caio G. Otoni, Rodrigo Martins   +9 more
wiley   +1 more source

An Experimental Survey of Incremental Transfer Learning for Multicenter Collaboration

IEEE Access
Due to data privacy constraints, data sharing among multiple clinical centers is restricted, which impedes the development of high performance deep learning models from multicenter collaboration.
Yixing Huang, Christoph Bert, Ahmed Gomaa, Rainer Fietkau, Andreas Maier, Florian Putz   +5 more
doaj   +1 more source

Novel Four-Layer Neural Network and Its Incremental Learning Based on Randomly Mapped Features

Jisuanji kexue yu tansuo, 2021
This paper proposes a four-layer neural network based on randomly feature mapping (FRMFNN) and its fast incremental learning algorithms. First, FRMFNN transforms the original input features into randomly mapped features by certain randomly mapping ...
YANG Yue, WANG Shitong
doaj   +1 more source

DeeSIL: Deep-Shallow Incremental Learning

, 2018
Incremental Learning (IL) is an interesting AI problem when the algorithm is assumed to work on a budget. This is especially true when IL is modeled using a deep learning approach, where two com- plex challenges arise due to limited memory, which induces
AL Ginsca, B Thomee, M Mccloskey, O Russakovsky, Z Li   +4 more
core   +2 more sources

Complex Cryptographic and User‐Centric Physically Unclonable Functions Enabled by Strain‐Sensitive Nanocrystals via Selective Ligand Exchange

Advanced Functional Materials, EarlyView.
This study investigates electromechanical PUFs that improve on traditional electric PUFs. The electron transport materials are coated randomly through selective ligand exchange. It produces multiple keys and a key with motion dependent on percolation and strain, and approaches almost ideal inter‐ and intra‐hamming distances.
Seungshin Lim, Hanseok Seo, Taesung Park, Byung Ku Jung, Junhyeok Park, Young Kyun Choi, Dae Yang Oh, Soong Ju Oh   +7 more
wiley   +1 more source

LINVIEW: Incremental View Maintenance for Complex Analytical Queries

, 2014
Many analytics tasks and machine learning problems can be naturally expressed by iterative linear algebra programs. In this paper, we study the incremental view maintenance problem for such complex analytical queries.
Abadi D., Arasu A., Deng L., Grama A., Kamvar S., Kraska T., McSherry F., Motwani R., Press W., Seeger M., Stonebraker M., Stonebraker M., Venkataraman S., Whaley C., Zaharia M., Zhang Y.   +15 more
core   +1 more source