Results 51 to 60 of about 16,624 (311)
An Experimental Analysis of Deep Neural Network Based Classifiers for Sentiment Analysis Task
The application of natural language processing (NLP) in sentiment analysis task by using textual data has wide scale application across various domains in plethora of industries.
Mrigank Shukla, Akhil Kumar
doaj +1 more source
To integrate multiple transcriptomics data with severe batch effects for identifying MB subtypes, we developed a novel and accurate computational method named RaMBat, which leveraged subtype‐specific gene expression ranking information instead of absolute gene expression levels to address batch effects of diverse data sources.
Mengtao Sun, Jieqiong Wang, Shibiao Wan
wiley +1 more source
Twitter is a social media site where people post their personal experiences, opinions, and news. Due to the ubiquitous real-time data availability, many rescue agencies monitor this data regularly to identify disasters, reduce risk, and save lives ...
Sumona Deb, Ashis Kumar Chanda
doaj +1 more source
WOVe: Incorporating Word Order in GloVe Word Embeddings
Word vector representations open up new opportunities to extract useful information from unstructured text. Defining a word as a vector made it easy for the machine learning algorithms to understand a text and extract information from. Word vector representations have been used in many applications such word synonyms, word analogy, syntactic parsing ...
Mohammed Salah Ibrahim +3 more
openaire +2 more sources
What factors make for an effective digital learning tool in Higher Education? This systematic review identifies elements of a digital tool that published examples reveal to be features of an engaging and impactful digital tool. A systematic literature search yielded 25 research papers for analysis.
Akmal Arzeman +4 more
wiley +1 more source
Freeze‐drying of layered silicate is the key to get coatings with superior gas barrier. Freeze‐drying of layered silicates modified with dodecylamine (DDA) is a highly effective technique for the preparation of barrier pigments that significantly mitigate the permeation of oxygen, water vapor, and hydrogen through polymer films containing these ...
Joshua Lommes +4 more
wiley +1 more source
Compressing Word Embeddings [PDF]
10 pages, 0 figures, submitted to ICONIP-2016. Previous experimental results were submitted to ICLR-2016, but the paper has been significantly updated, since a new experimental set-up worked much ...
openaire +2 more sources
What Do Large Language Models Know About Materials?
If large language models (LLMs) are to be used inside the material discovery and engineering process, they must be benchmarked for the accurateness of intrinsic material knowledge. The current work introduces 1) a reasoning process through the processing–structure–property–performance chain and 2) a tool for benchmarking knowledge of LLMs concerning ...
Adrian Ehrenhofer +2 more
wiley +1 more source
Better Word Representation Vectors Using Syllabic Alphabet: A Case Study of Swahili
Deep learning has extensively been used in natural language processing with sub-word representation vectors playing a critical role. However, this cannot be said of Swahili, which is a low resource and widely spoken language in East and Central Africa ...
Casper S. Shikali +3 more
doaj +1 more source
The results demonstrate a simulation‐driven workflow that applies LSB topology optimization with additive manufacturing constraints to mission‐specific load cases, integrating European Cooperation for Space Standardization compliant verification and manufacturability to develop structurally efficient rover suspension components.
Stelios K. Georgantzinos +11 more
wiley +1 more source

