Results 91 to 100 of about 21,934,771 (354)

An Improved Flower Pollination Algorithm for Optimizing Layouts of Nodes in Wireless Sensor Network

IEEE Access, 2019
The arrangement of nodes impacts the quality of connectivity and energy consumption in wireless sensor network (WSN) for prolonging the lifetime. This paper presents an improved flower pollination algorithm based on a hybrid of the parallel and compact ...
Trong-The Nguyen, Jeng-Shyang Pan, Thi-Kien Dao   +2 more
doaj   +1 more source

A comparative study of top-k high utility itemset mining methods [PDF]

arXiv, 2018
High Utility Itemset (HUI) mining problem is one of the important problems in the data mining literature. The problem offers greater flexibility to a decision maker to incorporate her/his notion of utility into the pattern mining process. The problem, however, requires the decision maker to choose a minimum utility threshold value for discovering ...
arxiv  

Biodegradable and Recyclable Luminescent Mixed‐Matrix‐Membranes, Hydrogels, and Cryogels based on Nanoscale Metal‐Organic Frameworks and Biopolymers

Advanced Functional Materials, EarlyView.
The study presents biodegradable and recyclable mixed‐matrix membranes (MMMs), hydrogels, and cryogels using luminescent nanoscale metal‐organic frameworks (nMOFs) and biopolymers. These bio‐nMOF‐MMMs combine europium‐based nMOFs as probes for the status of the materials with the biopolymers agar and gelatine and present alternatives to conventional ...
Moritz Maxeiner, Julian Burkhart, Kateryna Borysova, Chiara Mazzariol, Klaus Müller‐Buschbaum   +4 more
wiley   +1 more source

TOST: A Topological Semantic Model for GPS Trajectories Inside Road Networks

ISPRS International Journal of Geo-Information, 2019
To organize trajectory data is a challenging issue for both studies on spatial databases and spatial data mining in the last decade, especially where there is semantic information involved.
Tao Wu, Jianxin Qin, Yiliang Wan
doaj   +1 more source

Data Mining and Analytics in the Process Industry: The Role of Machine Learning

IEEE Access, 2017
Data mining and analytics have played an important role in knowledge discovery and decision making/supports in the process industry over the past several decades.
Zhiqiang Ge, Zhihuan Song, S. Ding, Biao Huang   +3 more
semanticscholar   +1 more source

Fine‐Tunning BaCo0.4Fe0.4Zr0.1Y0.1O3−δ‐Based Air Electrodes for Reversible Protonic Ceramic Cells via Co‐Engineering A‐site Deficiency and Nickel Content

Advanced Functional Materials, EarlyView.
A synergistic strategy combining A‐site deficiency and B‐site nickel doping yielded a BCFZYN‐095‐01 nanocomposite air electrode for reversible protonic ceramic cells with superior ORR/OER activities. B‐site deficiency in the perovskite lattice enhances proton conduction, and nickel doping within the bulk facilitates oxygen transport.
Mingzhuang Liang, Yixiao Song, Yufei Song, Daqin Guan, Dongliang Liu, Wenhuai Li, Igor V. Alexandrov, Artyom V. Sidelnikov, Guangming Yang, Wei Zhou, Ran Ran, Meigui Xu, Zongping Shao   +12 more
wiley   +1 more source

Data Mining and Its Applications for Knowledge Management: A Literature Review from 2007 to 2012 [PDF]

International Journal of Data Mining & Knowledge Management Process (IJDKP) Vol.2, No.5, 2012, pp. 13-24, 2012
Data mining is one of the most important steps of the knowledge discovery in databases process and is considered as significant subfield in knowledge management. Research in data mining continues growing in business and in learning organization over coming decades.
arxiv  

Computational Simulations of Metal–Organic Frameworks to Enhance Adsorption Applications

Advanced Materials, EarlyView.
This review highlights the significance of molecular simulations in expanding the understanding of metal–organic frameworks (MOFs) and improving their gas adsorption applications. The historical development and implementation of molecular simulations in the MOF field are given, high‐throughput computational screening studies used to unlock the ...
Hilal Daglar, Hasan Can Gulbalkan, Gokhan Onder Aksu, Seda Keskin   +3 more
wiley   +1 more source

Preparation of a Brucella multiepitope fusion protein based on bioinformatics and its application in serological diagnosis of human brucellosis

Scientific Reports
Summary Brucellosis is a zoonotic infectious disease caused by the Brucella spp., and the enhancement of diagnostic techniques is imperative for effective disease control. Currently, the diagnosis of brucellosis predominantly relies on serological tests,
Guangyu Wang, Xinru Qi, Shiqi Zhao, Qichuan Pei, Yixiao Chen, Dehui Yin, Tiansong Zhan   +6 more
doaj   +1 more source

Building a Classification Model for Enrollment In Higher Educational Courses using Data Mining Techniques [PDF]

arXiv, 2014
Data Mining is the process of extracting useful patterns from the huge amount of database and many data mining techniques are used for mining these patterns. Recently, one of the remarkable facts in higher educational institute is the rapid growth data and this educational data is expanding quickly without any advantage to the educational management ...
arxiv