Examining Sentiment Analysis for Low-Resource Languages with Data Augmentation Techniques by Gaurish Thakkar, Nives Mikelić Preradović, Marko Tadić

“…This investigation investigates the influence of a variety of data augmentation techniques on sentiment analysis in low-resource languages, with a particular emphasis on Bulgarian, Croatian, Slovak, and Slovene. …”
Get full text

CLOUD COMPUTING AND BIG DATA AS CONVERGENT TECHNOLOGIES FOR RETAIL PRICING STRATEGIES OF SMEs by George SUCIU, Gyorgy TODORAN, Adelina OCHIAN, Victor SUCIU, Janna CROPOTOVA

“…In particular, given a cloud application, we propose to leverage trivial and non-trivial connections between different sensor signals and data from online social networks, in order to find patterns that are likely to provide innovative solutions to existing retail problems. …”
Get full text

Economic Evaluation of the Investment in Sensor Equipment Based on Data Valuation in Prediction Model by Jeong-Gi Lee, Deok-Joo Lee

“…We introduce two valuation methods—Marginal Influence Between Models (MIBM) and Marginal Influence Within Models (MIWM)—and provide guidelines on when to apply each method depending on the scenario. …”
Get full text

The Data Artifacts Glossary: a community-based repository for bias on health datasets by Rodrigo R. Gameiro, Naira Link Woite, Christopher M. Sauer, Sicheng Hao, Chrystinne Oliveira Fernandes, Anna E. Premo, Alice Rangel Teixeira, Isabelle Resli, An-Kwok Ian Wong, Leo Anthony Celi

“…Results The Data Artifacts Glossary adopts a collaborative approach modeled on successful open-source projects like Linux and Python. …”
Get full text

Delineation of Subsurface Structures Using Gravity Data of the Shallow Offshore, Lamu Basin, Kenya by Dennis Ombati, John Githiri, Maurice K'Orowe, Erick Nyakundi

“…The gravity data used in this study were sourced from the International Gravity Bureau (BGI) and National Oil Corporation of Kenya (NOCK) digital data courtesy of companies like Woodside Energy, Anadarko Kenya Limited, and Total Exploration and Production companies. …”
Get full text

FIRST DETRITAL ZIRCON GEOCHRONOLOGY DATA FOR CLASTIC ROCKS OF THE EAST SAKHALIN ACCRETIONARY TERRANE by I. A. Alexandrov, V. V. Ivin, A. I. Malinovsky, S. Yu. Budnitskiy

“…Most of the grains belong to the Early Jurassic (peak 196 Ma) and the Early Cretaceous (peak 137 Ma), with 47 % of the Mesozoic grains. The likely provenances of the clastic material were the Middle Cretaceous volcanic arcs of the Asian eastern margin older complexes of the continent.…”
Get full text

Individuals’ emigration from Christchurch city after the 2010–2011 earthquakes by Yousef Abdeljawad, Ilan Noy, Yu-Wei Luke Chu

Get full text

Project Euphonia: advancing inclusive speech recognition through expanded data collection and evaluation by Alicia Martin, Robert L. MacDonald, Pan-Pan Jiang, Marilyn Ladewig, Julie Cattiau, Rus Heywood, Richard Cave, Jimmy Tobin, Philip C. Nelson, Katrin Tomanek

“…Project Euphonia, a Google initiative originally launched in English dedicated to improving Automatic Speech Recognition (ASR) of disordered speech, is expanding its data collection and evaluation efforts to include international languages like Spanish, Japanese, French and Hindi, in a continued effort to enhance inclusivity. …”
Get full text

Analysis of aeromagnetic data over Wamba and its adjoining areas in north-central Nigeria by Anudu G K, Onuba L N, Onwuemesi A G, Ikpokonte A E

Get full text

A multidimensional Bayesian IRT method for discovering misconceptions from concept test data by Martin Segado, Aaron Adair, John Stewart, Yunfei Ma, Byron Drury, David Pritchard

“…We present an exploratory method for discovering likely misconceptions from multiple-choice concept test data, as well as preliminary evidence that this method recovers known misconceptions from real student responses. …”
Get full text

Urgent issues regarding real-time air quality monitoring data in India: Unveiling solutions and implications for policy and health by Karn Vohra, Madhumitha S., Abhishek Chakraborty, Hitansh Shah, Bharrathi AS., Jayaraju Pakki

“…The impact is marginal for other pollutants. We find that after data cleaning, 23 sites in 2019 became non-compliant with national ambient air quality standards for NO2. …”
Get full text

Was the Lhasa Block at Low Latitudes in the Middle Permian? Insights From New Paleomagnetic and Geochronological Data by Longyun Xing, Xin Cheng, Mathew Domeier, Bitian Wei, Zhongshan Shen, Nan Jiang, Jiahui Zhang, Qinglong Chen, Shuqi Lan, Dongmeng Zhang, Yanan Zhou, Chenglong Deng, Hanning Wu

“…This study presents paleomagnetic and geochronological data from the middle Permian Luobadui Formation, providing a new paleogeographic constraint on the Lhasa Block. …”
Get full text

A dynamical systems analysis of criminal behavior using national longitudinal survey of youth data. by David McMillon, Jeffrey Morenoff, Carl Simon, Erin Lane

Get full text

The Transformative Potential of Large Language Models in Mining Electronic Health Records Data: Content Analysis by Amadeo Jesus Wals Zurita, Hector Miras del Rio, Nerea Ugarte Ruiz de Aguirre, Cristina Nebrera Navarro, Maria Rubio Jimenez, David Muñoz Carmona, Carlos Miguez Sanchez

“…However, physicians marginally outperformed GPT-4 in precision (97.7% vs 96.8%). …”
Get full text

Investigating use of diagnostic codes for post-COVID- 19 condition in Ontario health administrative data by Joseph S. Munn, Clare L. Atzema, Peter C. Austin, Stacey J. Butler, Lee Fidler, Xuesong Wang, Andrea S. Gershon

“…Methods We conducted a retrospective cohort study using health administrative data from Ontario, Canada (population approximately 15 million). …”
Get full text

The Advanced Actuarial Data Science Based AI-Driven Solutions for Automated Loss Reserving Under IFRS 17 in Non-Life Insurance by Brighton Mahohoho, Charles Chimedza, Florance Matarise, Sheunesu Munyira

Get full text

Forecasting the Bitcoin price using the various Machine Learning: A systematic review in data-driven marketing by Payam Boozary, Sogand Sheykhan, Hamed GhorbanTanhaei

“…This study introduces a systematic review of ML methods specifically tailored for Bitcoin price prediction, with a focus on evaluating the robustness, accuracy, and appropriateness of advanced ML techniques like Long Short-Term Memory (LSTM) networks. The novelty lies in its comprehensive assessment of these methods in the context of data-driven marketing, aiming to enhance both academic understanding and practical applications in financial technology. …”
Get full text

Improving Suicidal Ideation Detection in Social Media Posts: Topic Modeling and Synthetic Data Augmentation Approach by Hamideh Ghanadian, Isar Nejadgholi, Hussein Al Osman

“…However, certain sensitive issues, like those affecting marginalized communities, may be underrepresented in these discussions. …”
Get full text

A Bayesian Network Approach to Predicting Severity Status in Nuclear Reactor Accidents with Resilience to Missing Data by Kaiyu Li, Ling Chen, Xinxin Cai, Cai Xu, Yuncheng Lu, Shengfeng Luo, Wenlin Wang, Lizhi Jiang, Guohua Wu

“…The model’s resilience to missing data, achieved through marginalization, sustains predictive reliability when critical energy system variables are unavailable. …”
Get full text

Does fiscal decentralization foster renewable electricity generation? A panel data study of OECD countries by Serhiy Lyeonov, Oksana Okhrimenko, Artem Artyukhov, Mariia Saiensus, Iuliia Myroshnychenko, Yuliia Yehorova, Oleksii Havrylenko

“…This study aims to assess whether fiscal decentralization contributes to the expansion of renewable electricity generation in OECD countries by analyzing panel data and identifying the direction and significance of this relationship. …”
Get full text