Results 71 to 80 of about 119,587 (309)

Organic Materials of Tomorrow: Horizons of Artificial Intelligence

open access: yesAdvanced 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   +3 more
wiley   +1 more source

Advanced Data Mining Techniques for Compound Objects [PDF]

open access: yes, 2004
Knowledge Discovery in Databases (KDD) is the non-trivial process of identifying valid, novel, potentially useful, and ultimately understandable patterns in large data collections. The most important step within the process of KDD is data mining which is
Schubert, Matthias
core  

A realistic assessment of methods for extracting gene/protein interactions from free text [PDF]

open access: yes, 2009
Background: The automated extraction of gene and/or protein interactions from the literature is one of the most important targets of biomedical text mining research.
Kabiljo, R.   +11 more
core   +1 more source

Turning Water Into a Tool: From Degradation Pathways to Functional Engineering in Halide Perovskites

open access: yesAdvanced Materials Technologies, EarlyView.
Water exhibits a threshold‐dependent dual role in lead halide perovskites, acting either as a degradation trigger or as a powerful tool for defect passivation, recrystallization, and structural engineering. This review discusses how controlled water‐mediated interactions govern stability, dimensionality, and optoelectronic performance, providing ...
Raphaella T. S. Gonçalves   +4 more
wiley   +1 more source

Automatic Arabic Text Classification [PDF]

open access: yes, 2008
Automated document classification is an important text mining task especially with the rapid growth of the number of online documents present in Arabic language.
Khorsheed, M. S.   +4 more
core  

Auditory–Tactile Congruence for Synthesis of Adaptive Pain Expressions in RoboPatients

open access: yesAdvanced Robotics Research, EarlyView.
In this work, we explore auditory–tactile congruence for synthesizing adaptive vocal pain expressions in robopatients. Using a robopatient platform that integrates vocal pain sounds with palpation forces, we conducted 7680 trials across 20 participants.
Saitarun Nadipineni   +4 more
wiley   +1 more source

Research on Enterprise Credit Risk Prediction Based on Text Information

open access: yesJournal of Risk Analysis and Crisis Response (JRACR), 2022
: This paper uses the text data mining method to separate the intonation in the annual reports of credit risk enterprises and non-credit risk enterprises, quantify it, and study the impact of annual report intonation on the effectiveness of credit risk ...
Haonan Zhang, Hongmei Zhang, Mu Zhang
doaj   +1 more source

High performance latent dirichlet allocation for text mining [PDF]

open access: yes, 2013
This thesis was submitted for the degree of Doctor of Philosophy and awarded by Brunel University.Latent Dirichlet Allocation (LDA), a total probability generative model, is a three-tier Bayesian model. LDA computes the latent topic structure of the data
Liu, Zelong
core  

An Integrated NLP‐ML Framework for Property Prediction and Design of Steels

open access: yesAdvanced Science, EarlyView.
This study presents a data‐driven framework that uses language‐processing techniques to interpret steel processing descriptions and machine‐learning models to predict mechanical properties. By organising complex process histories into meaningful groups and enabling rapid property forecasts, the work supports faster, more informed steel design through ...
Kiran Devraju   +5 more
wiley   +1 more source

Text Mining Perspectives in Microarray Data Mining [PDF]

open access: yesISRN Computational Biology, 2013
Current microarray data mining methods such as clustering, classification, and association analysis heavily rely on statistical and machine learning algorithms for analysis of large sets of gene expression data. In recent years, there has been a growing interest in methods that attempt to discover patterns based on multiple but related data sources ...
openaire   +1 more source

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