Artificial Intelligence and Competitive Advantage of Tourism Enterprises: A Chain Mediation Effect by Chao Huang, Hira Batool, Shi-Zheng Huang

“…Data from 400 tourism enterprises in China were collected through a survey questionnaire, and multiple regression analysis was employed. …”
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Implementasi Re-design Application Mobile MRT Jakarta Menggunakan Metode User Centered Design by Diana Rahma Fahriyah, Diana Ikasari, Widiastuti

“…Based on observations and questionnaires regarding the MRT mobile application, users often experience difficulties or obstacles in interacting with the application interface. …”
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Kondisi Kualitas Data Debit Sungai Tahun 2015-2016 di Indonesia by Sri Mulat Yuningsih

“…Discharge data quality control model consists of station condition, rating curve, water level data, and daily discharge data . …”
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Intelligent analysis algorithm for power engineering data based on improved BiLSTM by Yuanyuan Xu, Jiapeng Yang, Xin Cai

“…Abstract Traditional BiLSTM (Bidirectional Long Short-Term Memory) has limited processing capabilities for long-time series, insufficient adaptability to the characteristics of power engineering data, and inadequate accuracy in predicting problems in specific application scenarios. …”
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Data-driven energy management for electric vehicles using offline reinforcement learning by Yong Wang, Jingda Wu, Hongwen He, Zhongbao Wei, Fengchun Sun

“…These findings highlight the potential of data-driven methods to enhance energy efficiency and vehicle longevity through large-scale vehicle data utilization.…”
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Data-Driven Visualization of the Dynamics of Geothermal Energy and Hot Dry Rock Research by Xiangcheng Que, Shu Zhu, Bei Han

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The Role of Organisational Culture and Structure in Data-driven Green Policy and Decision-making by Laetitia Van der Merwe, Calayde Davey

“…A systematic literature review supplemented the data. Thematic content analysis of the data revealed traditional structures and cultures complicate decision-making, impede digital transformation, and delay ESG and Green Policy implementation. …”
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THE NEOTECTONIC STRUCTURE OF INTERMOUNTAIN BASINS OF MOUNTAINOUS ALTAI ACCORDING TO ELECTROMAGNETIC AND GEOLOGICAL DATA by N. N. Nevedrova, A. M. Sanchaa, E. V. Deev, S. M. Babushkin

“…Geoelectrical models of the basins were constructed using the data obtained from field studies with application of a complex of electromagnetic methods, including transient electromagnetic, vertical electric soundings and electric tomography. …”
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Advancing library operations with AI: data-driven insights for academic resource management by Néstor A. Nova, Hernán Morales, Juan Pájaro, Andrea González

“…Data was extracted from faculty databases from one university in Colombia. …”
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Constraints on Midmantle Discontinuities in Mars from Analysis of InSight Seismic Data by Cecilia Durán, Amir Khan, George Helffrich, Domenico Giardini

“…Through application of careful data selection criteria and processing schemes, we found 13 events in the distance range in which body waves are expected to refract through the midmantle of Mars. …”
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Data mining of adverse drug event signals with Nirmatrelvir/Ritonavir from FAERS. by Ji Sun, Xuanyu Deng, Juanjuan Huang, Gefei He, Shiqiong Huang

“…The reporting odds ratio (ROR) was used to explore the adverse event report data of all COVID-19 emergency use authorization (EUA) products in the FAERS database with the deadline of third quarter of 2023. …”
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Big data analytics and AI as success factors for online video streaming platforms by Muhammad Arshad, Muhammad Arshad, Choo Wou Onn, Ashfaq Ahmad, Goabaone Mogwe, Goabaone Mogwe

“…As a result, the study also points to the importance and relevance of such technologies to promote business development, and user interaction and maintain competitiveness in the online video streaming market with examples of their effective application. This work presents a comprehensive investigation of the combined role of Big Data and AI and presents the necessary findings to determine their efficacy as success factors of existing and future video streaming services.…”
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Predicting transient response using data-driven models for ball-impact simulations by Ross Pivovar, Fei Chen, Raghunath Katragadda, Vidyasagar Ananthan

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Evaluation of Machine Learning and Ensemble Learning Models for Classification Using Delivery Data by İrem Karakaya

“…Additionally, the application of ensemble learning methods on complex and large-scale logistics data structures is unique in terms of its contribution to the literature. …”
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Steady-state data-driven dynamic stability assessment in the Korean power system by Sungyoon Song, Sang-won Min, Seungmin Jung

“…For practical users, the acquisition and application of high-resolution measurement data present significant challenges. …”
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Power grid inspection based on multimodal foundation models by Jingbo Hao, Yang Tao

“…OBJECTIVES: This paper aims to boost the application of multimodal foundation models for power grid inspection. …”
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An Immersive Hydroinformatics Framework with Extended Reality for Enhanced Visualization and Simulation of Hydrologic Data by Uditha Herath Mudiyanselage, Eveline Landes Gonzalez, Yusuf Sermet, Ibrahim Demir

“…This study introduces a novel framework with the use of extended reality (XR) systems in hydrology, particularly focusing on immersive visualization of hydrologic data for enhanced environmental planning and decision making. …”
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Unsupervised Attribute Reduction Algorithms for Multiset-Valued Data Based on Uncertainty Measurement by Xiaoyan Guo, Yichun Peng, Yu Li, Hai Lin

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Assessment of ERA5-Land Reanalysis Precipitation Data in the Qilian Mountains of China by Lihui Qian, Peng Zhao

“…This research can furnish a reference for the application of ERA5-Land reanalysis precipitation data in the Qilian Mountains.…”
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Seven unique frequency profiles for scoring vigilance states in preclinical electrophysiological data by Freja Gam Østergaard, Martien J. H. Kas

“…Manual scoring of longitudinal electroencephalographical (EEG) data is a slow and time-consuming process. Current advances in the application of machine-learning and artificial intelligence to EEG data are moving fast; however, there is still a need for expert raters to validate scoring of EEG data. …”
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