Results 61 to 70 of about 25,216,828 (261)

Data Driven Data Mining to Domain Driven Data Mining [PDF]

, 2011
In the preceding decade data mining has came into sight as one of the largely energetic areas in information technology Traditional data mining is seriously dependent on data itself and relies on data oriented methodologies So there is a universal ...
Dr. Mitu Kumari
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Beyond Presumptions: Toward Mechanistic Clarity in Metal‐Free Carbon Catalysts for Electrochemical H2O2 Production via Data Science

Advanced Materials, EarlyView.
Metal‐free carbon catalysts enable the sustainable synthesis of hydrogen peroxide via two‐electron oxygen reduction; however, active site complexity continues to hinder reliable interpretation. This review critiques correlation‐based approaches and highlights the importance of orthogonal experimental designs, standardized catalyst passports ...
Dayu Zhu, Hsi‐wen Wu, Xiao Wang, Jie Zhang   +3 more
wiley   +1 more source

Calculate missing value using association rules mining [PDF]

, 2010
Discovering hidden knowledge from hug amount of data in form of association rules mining havebecome very popular in scaling field of data mining. One several algorithms have been alsodeveloped for mining association rules.
Singh, Manmohan; Mewar University, Rajasthan., Shrivastava, Pooja; Barkatullah University, Bhopal. India, Rajput, Anil; Department of Mathematics and Computer Science Govt. PG Nodal College, Sehore (M. P.) India   +2 more
core   +1 more source

LEAD: Literature Enhanced Ab Initio Discovery of Nitride Dusting Layers for Enhanced Tunnel Magnetoresistance and Lower Resistance Magnetic Tunnel Junctions

Advanced Materials, EarlyView.
Magnetic tunnel junctions (MTJs) using MgO tunnel barriers face challenges of high resistance‐area product and low tunnel magnetoresistance (TMR). To discover alternative materials, Literature Enhanced Ab initio Discovery (LEAD) is developed. The LEAD‐predicted materials are theoretically evaluated, showing that MTJs with dusting of ScN or TiN on ...
Sabiq Islam, William S. Rogers, Chen‐Yu Hu, Ming‐Yuan Song, Xinyu Bao, Shehrin Sayed, Jean Anne C. Incorvia   +6 more
wiley   +1 more source

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

Advanced Materials, EarlyView.
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena, J. Terence Blaskovits, Kun‐Han Lin, Denis Andrienko   +3 more
wiley   +1 more source

Application of Brucella type IV secretion proteins VirB1, VirB5, and VirB6 in the serological diagnosis of brucellosis

Scientific Reports
Brucellosis, a significant zoonotic infectious disease caused by Brucella spp., necessitates the development of efficient, rapid, accurate, and cost-effective diagnostic methods.
Lei Wang, Shiqi Zhao, Xinru Qi, Qichuan Pei, Yixiao Chen, Dehui Yin, Meixue Yao   +6 more
doaj   +1 more source

EHAFF-NET: Enhanced Hybrid Attention and Feature Fusion for Pedestrian ReID

Mathematics
This study addresses the cross-scenario challenges in pedestrian re-identification for public safety, including perspective differences, lighting variations, occlusions, and vague feature expressions.
Jun Yang, Yan Wang, Haizhen Xie, Jiayue Chen, Shulong Sun, Xiaolan Zhang   +5 more
doaj   +1 more source

Breaking Bottlenecks in Solid Electrolyte Discovery With Large Artificial Intelligence Models

Advanced Materials, EarlyView.
Large AI models are presented as a route to break key bottlenecks in solid electrolyte discovery by linking materials databases, machine‐learning interatomic potentials, large language models, and autonomous experiments. This perspective highlights how AI can accelerate the identification of solid electrolytes with fast ion transport, stable interfaces,
Eric Jianfeng Cheng, Min Hong, Zhiquan Zeng, Chuanyu Liu, Qian Wang, Melissa Jane Meadowcroft, Vlad Badilita, Carlos Miguel Costa, Senentxu Lanceros‐Méndez, Ying Li, Chenyao Ma, Weibo Gong, Surendra Kumar Martha, Aloysius Soon, Piao Ma, Di Zhang, Teguh Ariyanto, Sudaryanto, Hiroshi Kakinuma, Jie Zhao, Jiayu Peng, Pengfei Ou, Jun Lu, Shin‐ichi Orimo, Hao Li   +24 more
wiley   +1 more source

Detection and tracking of carbon biomes via integrated machine learning [PDF]

Ocean Science
In the framework of a changing climate, it is useful to devise methods capable of effectively assessing and monitoring the changing landscape of air–sea CO2 fluxes.
S. Mohanty, S. Mohanty, L. Patara, D. Kazempour, P. Kröger   +4 more
doaj   +1 more source

What is Data Mining?

, 2007
owledge presentation, where visualization and knowledge representation techniques are used to present the mined knowledge to the user. With the widely available relational database systems and data warehouses, the first four processes: data cleaning ...
Data Mining
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