Results 111 to 120 of about 12,148 (269)

Binary Decision Tree for Association Rules Mining in Incremental Databases

, 2015
Amaranatha Reddy P, G Pradeep, M Sravani
openalex   +1 more source

Water‐Immersed GaP Huygens’ Meta‐Optics for Visible Structured Light Generation

Advanced Science, EarlyView.
Ultrathin GaP Huygens’ metasurfaces operating in the visible regime generate structured light beams underwater, including focusing Gaussian beams, abruptly autofocusing beams, Bessel beams, and optical vortices. The platform offers enhanced fabrication tolerance and mechanical stability, establishing a robust route toward compact underwater ...
Jia‐Hua Lee, Hsing‐Yi Wang, Pei Ying Ho, Yu Chia Chung, Ruei‐Tzu Duh, Cheng‐Ching Chiang, Ray‐Hua Horng, Yao‐Wei Huang, Ming Lun Tseng   +8 more
wiley   +1 more source

A review: The effects of imperfect data on incremental decision tree

, 2017
Zhiqiang Lin, Huajun Chen, Peng Li, Xiaobin Guo, Hang Yang   +4 more
openalex   +1 more source

Durable Lithium Metal Anodes Enabled by {110}‐Textured Epitaxy on a LiF@Ag Commensurate Heterostructure

Advanced Science, EarlyView.
Utilizing their commensurate lattices, a LiF@Ag heterostructure is fabricated for Li epitaxy, featuring Ag nanoparticles grown on 2D LiF layers. The composition pinning effect inhibits Li‐Ag alloying and maintains the high lithiophilicity and fast adatom migration associated with Ag.
Liming Zhang, Xuemin Wang, Xiaotong Sun, Haobo Yang, Xinyi Miao, Zifeng Gu, Chuanzhong Chen, Cheng Hu   +7 more
wiley   +1 more source

Soft and Stretchable Thienopyrroledione‐Based Polymers via Direct Arylation

Advanced Electronic Materials, EarlyView.
π‐conjugated polymers (CPs) that are concurrently soft and stretchable are needed for deformable electronics. This systematic molecular weight study on promising candidates for soft CPs, poly(indacenodithiophene‐co‐thienopyrroledione) (p(IDTC16‐TPDC8)) and poly(indacenodithienothiophene‐co‐thienopyrroledione) (p(IDTTC16‐TPDC8)) found that p(IDTC16 ...
Angela Lin, Lorenzo Guio, Garrett LeCroy, Stanley Lo, Adnan Sharif, Yunfei Wang, Alberto Salleo, Xiaodan Gu, Christine K. Luscombe, Helen Tran   +9 more
wiley   +1 more source

A New Incremental Decision Tree Learning for Cyber Security based on ILDA and Mahalanobis Distance

, 2019
Saichon Jaiyen, Ployphan Sornsuwit
openalex   +1 more source

On the Application of a New Method of the Top-Down Decision Tree Incremental Pruning in Data Classification [PDF]

, 2015
Hongbo Shao, Jing Zhou, WU Jian-hui
openalex   +1 more source

Toward High‐Performance Electrochemical Energy Storage Systems: A Case Study on Predicting Electrochemical Properties and Inverse Material Design of MXene‐Based Electrode Materials with Automated Machine Learning (AutoML)

Advanced Electronic Materials, EarlyView.
This study demonstrates PyCaret's AutoML framework for predicting the electrochemical and structural properties of MXene‐based electrodes, including intercalation voltage, capacity, and lattice constants. AutoML streamlines workflows, ranks key elemental descriptor, and enables inverse molecular formula prediction based on performance targets.
Berna Alemdag, Görkem Saygili, Matthias Franzreb, Gözde Kabay   +3 more
wiley   +1 more source

Electronic Nanomaterials for Plants: A Review on Current Advances and Future Prospects

Advanced Electronic Materials, EarlyView.
Global food security faces mounting challenges from climate change and rapid population growth. This review highlights the pivotal role of electronic nanomaterials–including metals, metal oxides, and carbon‐based structures–in enhancing plant photosynthesis, nutrient uptake, and stress resilience. Furthermore, it explores how emerging platforms such as
Ciro Allará, Giuseppe Ciccone, Manuela Ciocca, Sahira Vasquez, Pietro Ibba, Mauro Maver, Tanja Mimmo, Paolo Lugli, Luisa Petti   +8 more
wiley   +1 more source

Integrating Automated Electrochemistry and High‐Throughput Characterization with Machine Learning to Explore Si─Ge─Sn Thin‐Film Lithium Battery Anodes

Advanced Energy Materials, Volume 15, Issue 11, March 18, 2025.
A closed‐loop, data‐driven approach facilitates the exploration of high‐performance Si─Ge─Sn alloys as promising fast‐charging battery anodes. Autonomous electrochemical experimentation using a scanning droplet cell is combined with real‐time optimization to efficiently navigate composition space.
Alexey Sanin, Jackson K. Flowers, Tobias H. Piotrowiak, Frederic Felsen, Leon Merker, Alfred Ludwig, Dominic Bresser, Helge Sören Stein   +7 more
wiley   +1 more source