Results 51 to 60 of about 25,216,828 (261)

Mining Frequent Item Sets Data Streams using "ÉclatAlgorithm" [PDF]

, 2014
Frequent pattern mining is the process of mining data in a set of items or some patterns from a largedatabase. The resulted frequent set data supports the minimum support threshold.
Richhariya, Pankaj; Computer Science Department BITS, Bhopal, India, Khambra, Geetanjli; Computer Science Department BITS, Bhopal, India   +1 more
core   +1 more source

Non‐Additive Criteria Assessment in Sustainability Evaluation of High Entropy Alloys: A Toxicity‐Weighted Framework

Advanced Engineering Materials, EarlyView.
Sustainability assessment requires methodologies that appropriately distinguish between additive and non‐additive material properties. A toxicity‐weighted scoring system is developed and applied that accounts for the disproportionate influence of highly toxic constituents through nonlinear weighting functions, providing more realistic estimates than ...
Seth Mehalic, Oladele A. Ogunseitan, Julie M. Schoenung   +2 more
wiley   +1 more source

Entropy‐Driven Design of Low‐Melting‐Point Alloys via Compositionally Complex Strategy

Advanced Engineering Materials, EarlyView.
Conventional low‐melting‐point alloys (LMPAs) are limited by a narrow compositional space and inherent property trade‐offs. This review presents an entropy‐driven design strategy that overcomes these limitations, ushering in a new class of low‐melting‐point compositionally complex alloys (LMCCAs).
Yinghui Shang, Jianxiang Zhao, Zhaoqi Chen, Hao Gong, Yinsen Yan, Junlei Tao, Yong Yang   +6 more
wiley   +1 more source

Multisource Data Fusion With Graph Convolutional Neural Networks for Node-Level Traffic Flow Prediction

Journal of Advanced Transportation
With the rapid development of transport technology and the increasing complexity of traffic patterns, integrating multiple data sources for traffic flow prediction has become crucial to overcome the defects of a single data source.
Lei Huang, Jianxin Qin, Tao Wu
doaj   +1 more source

Self‐Sintering Ionogel Binder for Flexible, Recyclable, and Healable Printed Giant Magnetoresistive Sensors

Advanced Functional Materials, EarlyView.
ABSTRACT Electronic waste has emerged as a major environmental challenge, driven by the massive consumption and a limited lifetime of modern electronic devices, stimulating the development of sustainable electronics. Here, an all‐biomaterial gelatin‐choline‐citric acid ([Ch][CA]) ionogel is developed as an active binder to realize self‐sintered ...
Lin Guo, Xiaotao Wang, Guannan Mu, Proloy Taran Das, Igor Veremchuk, Conrad Schubert, Aaron D. Cross, Yevhen Zabila, Xuan Peng, Larysa Baraban, Denys Makarov   +10 more
wiley   +1 more source

Functionalizing Micro‐to‐Mesoscopic Electrode Architectures for Regulating Electron Transfer Behaviors in Electrocatalysis

Advanced Functional Materials, EarlyView.
A systematic review is conducted to assess the influence of electrode architecture across micro‐ to mesoscopic length scales on electron‐transfer pathways in electrocatalysis. We discuss the structure‐activity relationships in electrocatalytic applications, including resource recovery and environmental remediation, and provide cost‐effective, efficient
Manshu Zhao, Jiaojiao Zhang, Shideng Yuan, Xinmeng Yu, Keming Wan, Xiaoguang Duan, Zhining Wang   +6 more
wiley   +1 more source

Data Mining :  Opportunities and Challenges chapter 1: A Survey of Bayesian Data Mining

, 2003
Data Mining: Opportunities and Challenges presents an overview of the state of the art approaches in this new and multidisciplinary field of data mining.
Arnborg, Stefan,
core   +2 more sources

Virtual Geographic Simulation of Light Distribution within Three-Dimensional Plant Canopy Models

ISPRS International Journal of Geo-Information, 2017
Virtual geographic environments (VGEs) have been regarded as an important new means of simulating, analyzing, and understanding complex geological processes. Plants and light are major components of the geographic environment.
Liyu Tang, Dan Yin, Shuwei Chen, Chongcheng Chen, Hongyu Huang, Ding Lin   +5 more
doaj   +1 more source

Paving the Way for Next‐Generation Solid‐State Waste Heat Recovery: A Thermomagnetic Materials and Systems Roadmap

Advanced Functional Materials, EarlyView.
Unlocking thermomagnetic low‐grade waste heat recovery. This perspective provides a comprehensive roadmap for the development of thermomagnetic materials and systems. By addressing key engineering challenges across multiple scales, it bridges the gap between micro‐power IoT devices and large‐scale industrial applications. ABSTRACT Nearly half of global
A. Waske, K. Klinar, S. Fähler, M. Kohl, N. M. Dempsey, F. Albertini, G. A. de Wijs, T. Schrefl, M. Maschek, S. Lionte, C. Megnin, N. van Dijk, A. Kitanovski, E. Brück   +13 more
wiley   +1 more source

TPP-SAM: A Trajectory Point Prompting Segment Anything Model for Zero-Shot Road Extraction From High-Resolution Remote Sensing Imagery

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
The segment anything model (SAM) enables zero-shot or interactive segmentation of visual content and has shown remarkable performance with natural images.
Tao Wu, Yaling Hu, Jianxin Qin, Xinyi Lin, Yiliang Wan   +4 more
doaj   +1 more source