Results 111 to 120 of about 5,305 (263)

Future-Ready Skills Across Big Data Ecosystems: Insights from Machine Learning-Driven Human Resource Analytics

Applied Sciences
This study aims to analyze online job postings using machine learning-based, semantic approaches and to identify the expertise roles and competencies required for big data professions.
Fatih Gurcan, Beyza Gudek, Gonca Gokce Menekse Dalveren, Mohammad Derawi   +3 more
doaj   +1 more source

Weather Attention in Online Discourse and Price Uncertainty in Agricultural Futures Markets

Agribusiness, EarlyView.
ABSTRACT Weather is a central determinant of production risk in agricultural markets, but markets respond not only to weather conditions themselves, but also to how those conditions are noticed, framed, and interpreted in public discourse. In this setting, real‐time online weather discussions may shape price uncertainty by influencing how market ...
Mario A. Ortez, Olga Isengildina Massa, Michael Liam Smith, Nicole Olynk Widmar   +3 more
wiley   +1 more source

Managing Synchronic Corpus Data with the British National Corpus (BNC) [PDF]

, 2022
openaire   +1 more source

Exploratory Analysis of Factors Associated With the Recovery of Erectile Dysfunction After Rectal Cancer Surgery (Sub‐Analysis of LANDMARC Trial)

Annals of Gastroenterological Surgery, EarlyView.
ABSTRACT Background Erectile dysfunction (ErD) is an important complication after rectal cancer surgery, however a substantial proportion of patients experience functional recovery over time. Evidence regarding which patients are more likely to recover remains limited.
Ryosuke Mizuno, Koya Hida, Masakatsu Numata, Takashi Sakamoto, Kazutaka Obama, Akio Shiomi, Ryo Inada, Manabu Shiozawa, Mayumi Ozawa, Masanori Hotchi, Daisuke Yamamoto, Suguru Hasegawa, Masashi Miguchi, Shinobu Ohnuma, Tomohiro Yamaguchi, Tomonori Akagi, Yusuke Kinugasa, Shigeki Yamaguchi, Hiroyasu Kagawa, Masahiko Watanabe, Takeshi Naitoh, Ichiro Takemasa   +21 more
wiley   +1 more source

SigmaFormer: Augmenting transformer encoders with COSMO sigma profiles for pure component property prediction

AIChE Journal, EarlyView.
Abstract Transformer‐based molecular models pretrained on SMILES strings demonstrate strong performance in property prediction. However, these model often lack explicit integration of molecular surface charge distributions that govern intermolecular interactions such as hydrogen bonding and polarity.
Tae Hyun Kim, Silabrata Pahari, Joseph Sang‐Il Kwon   +2 more
wiley   +1 more source

ALGORITHMIC PROCEDURES OF IDENTIFYING ADVERTISEMENT TEXTS IN MASS MEDIA DISCOURSE

Вестник Волгоградского государственного университета: Серия 2. Языкознание
The article presents an algorithm of identifying advertisement blocks in mass media content and determining the type of the given text as either an advertisement or an informative text, which is enabled through automation with the aid of intellectual ...
Mikhail V. Kamensky, Sergey N. Bredikhin   +1 more
doaj   +1 more source

Harnessing Large Language Models to Advance Microbiome Research: From Sequence Analysis to Clinical Applications

Advanced Intelligent Discovery, EarlyView.
Large language models are transforming microbiome research by enabling advanced sequence profiling, functional prediction, and association mining across complex datasets. They automate microbial classification and disease‐state recognition, improving cross‐study integration and clinical diagnostics.
Jieqi Xing, He Wang, Yangyang Sun, Xiaoquan Su, Shunyao Wu   +4 more
wiley   +1 more source

Coupling Sentiment and Arousal Analysis Towards an Affective Dialogue Manager

IEEE Access
We present the technologies and host components developed to power a speech-based dialogue manager with affective capabilities. The overall goal is that the system adapts its response to the sentiment and arousal level of the user inferred by analysing ...
Adria Mallol-Ragolta, Bjorn Schuller
doaj   +1 more source

Toward Knowledge‐Guided AI for Inverse Design in Manufacturing: A Perspective on Domain, Physics, and Human–AI Synergy

Advanced Intelligent Discovery, EarlyView.
This perspective highlights how knowledge‐guided artificial intelligence can address key challenges in manufacturing inverse design, including high‐dimensional search spaces, limited data, and process constraints. It focused on three complementary pillars—expert‐guided problem definition, physics‐informed machine learning, and large language model ...
Hugon Lee, Hyeonbin Moon, Junhyeong Lee, Seunghwa Ryu   +3 more
wiley   +1 more source

The Metrics for Promising R&D Early Forecast

Управленческое консультирование, 2018
The paper is concerned to the new methodological approach for early prognosis of promising research and development (R&D) in the fields of science and technology.
Sergey Petrovich Kovalev
doaj