Results 121 to 130 of about 119,587 (309)
Advanced Intelligent Discovery, EarlyView.A novel convolutional neural network architecture enables rapid, unsupervised analysis of IR spectroscopic data from DRIFTS and IRRAS. By combining synthetic data generation with parallel convolutional layers and advanced regularization, the model accurately resolves spectral features of adsorbed CO, offering real‐time insights into ceria surface ...
Mehrdad Jalali +5 more
wiley +1 more source
Counting Word Frequencies with Python
The Programming Historian, 2012 Your list is now clean enough that you can begin analyzing its contents in meaningful ways. Counting the frequency of specific words in the list can provide illustrative data.
William J. Turkel, Adam Crymble
doaj
Advanced Intelligent Discovery, EarlyView.Electrospinning allows the fabrication of fibrous 3D cotton‐wool‐like scaffolds for tissue engineering. Optimizing this process traditionally relies on trial‐and‐error approaches, and artificial intelligence (AI)‐based tools can support it, with the prediction of fiber properties. This work uses machine learning to classify and predict the structure of
Paolo D’Elia +3 more
wiley +1 more source
TEXT AND DATA MINING EXCEPTION - TECHNOLOGY INTO OUR LIVES [PDF]
Challenges of the Knowledge Society, 2019 Since 2016, when the Copyright Reform Directive (Directive in the Digital Single Market) had been proposed for adoption, two major versions of the text were under examination and negotiation in the European Parliament.
Monica LUPAȘCU
doaj
Evolving Text Data Stream Mining
CoRRA text stream is an ordered sequence of text documents generated over time. A massive amount of such text data is generated by online social platforms every day. Designing an algorithm for such text streams to extract useful information is a challenging task due to unique properties of the stream such as infinite length, data sparsity, and evolution ...
openaire +2 more sources
Reviewing "Text Mining": Textual Data Mining
IEEJ Transactions on Electronics, Information and Systems, 2005 The objective of this paper is to give overviews of text mining or textual data mining in Japan from the practical aspects. Text mining is the technology utilized for analyzing large volumes of textual data applying various parameters for purpose of withdrawing useful knowledge and information.
openaire +2 more sources
Advanced Intelligent Discovery, EarlyView.CrossMatAgent is a multi‐agent framework that combines large language models and diffusion‐based generative AI to automate metamaterial design. By coordinating task‐specific agents—such as describer, architect, and builder—it transforms user‐provided image prompts into high‐fidelity, printable lattice patterns.
Jie Tian +12 more
wiley +1 more source
Rule pruning and prediction methods for associative classification approach in data mining [PDF]
Recent studies in data mining revealed that Associative Classification (AC) data mining approach builds competitive classification classifiers with reference to accuracy when compared to classic classification approaches including decision tree and rule ...
Abu Mansour, Hussein Y
core
Text classification method review [PDF]
, 2007 With the explosion of information fuelled by the growth of the World Wide Web it is no longer feasible for a human observer to understand all the data coming in or even classify it into categories.
Tiwari, Ashutosh +3 more
core
Advanced Intelligent Discovery, EarlyView.This study presents an automated system integrating a capillary force gripper and machine learning‐based object detection for sorting and placing submillimeter objects. The system achieved stable and simultaneous manipulation of four object types, with an average task time of 86.0 seconds and a positioning error of 157 ± 84 µm, highlighting its ...
Satoshi Ando +4 more
wiley +1 more source