Results 71 to 80 of about 119,587 (309)
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
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]
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]
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
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]
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
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
: 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]
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
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]
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

