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Closing the Loop: An Empirical Investigation of Causality in IT Business Value
منشور في 2017"…We analyze seven years of panel data from 1,223 healthcare firms and present empirical evidence supporting our hypothesis. …"
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Muslim Consumers’ Food Safety Behaviour and Religious Commitment: An Empirical Study in the UAE Context
منشور في 2023"…The collected data were analysed using the PLS-SEM software package. …"
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Editorial: At the Crossroads: Lessons and Challenges in Computational Social Science
منشور في 2016"…At the turn of the century, however, it was clear that huge challenges—and new opportunities— lied ahead: the digital communication technologies, and their associated data deluge, began to nurture those models with empirical significance. …"
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Dynamic properties of language anxiety
منشور في 2020"…In essence, language anxiety (LA) is part of a continuous complex system in which each state evolves from a previous one. …"
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Factors Influencing SMEs’ Adoption of Cloud Computing Services in Lebanon: An Empirical Analysis Using TOE and Contextual Theory
منشور في 2020"…A model is proposed, and data collected from 139 respondents working in SMEs in Lebanon and analyzed using confirmatory factor analysis and logistic regression in SPSS provide strong support for the model. …"
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Shifting global dynamics: an empirical analysis of BRICS + expansion and its economic, trade, and military implications in the context of the G7
منشور في 2024"…This paper analyzes the BRICS + and the G7 groups of countries, using long-term empirical data, to assess economic, trade and military metrics. …"
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The unified effect of data encoding, ansatz expressibility and entanglement on the trainability of HQNNs
منشور في 2023"…This paper presents a framework designed to explore the interplay of multiple factors contributing to the BP problem in quantum neural networks (QNNs), which poses a critical challenge for the practical applications of QML. We focus on the combined influence of data encoding, qubit entanglement, and ansatz expressibility in hybrid quantum neural networks (HQNNs) for multi-class classification tasks. …"
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Knowledge Fusion by Harnessing Support Vector Machines for Collaborative Uncertain Data Classification in Multiagent Systems
منشور في 2024"…Distributed data mining (DDM) has emerged as a useful method for analyzing data that is spread across multiple sources. …"
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BEMD-3DCNN-based method for COVID-19 detection
منشور في 2022"…In this paper, we used 3D representation of the data as input for the proposed 3DCNN-based deep learning model. …"
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Climatic and atmospheric determinants of sensor-type biases in measured solar irradiance
منشور في 2026"…This work quantifies the measurement biases of silicon-based sensors relative to thermopile, using data from eight globally distributed sites covering arid, tropical, subtropical, and temperate regimes. …"
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Zooming Into Clarity: Image Denoising Through Innovative Autoencoder Architectures
منشور في 2024"…<p dir="ltr">In today’s era of increasing data complexity and pervasive noise, robust techniques for data processing, reconstruction, and denoising are crucial. …"
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Assigning proctors to exams using scatter search. (c2006)
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Strategic scaling initiatives and client networking dynamics for small and medium-sized enterprises growth: a comprehensive case study analysis Open Access
منشور في 2025"…Qualitative analysis of textual data is conducted, combining deductive reasoning to establish theoretical frameworks from existing literature and inductive reasoning to identify emergent themes. …"
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A Comprehensive Machine and Deep Learning Approach for Aerosol Optical Depth Forecasting: New Evidence from the Arabian Peninsula
منشور في 2024"…Subsequently, hyperparameter optimization is performed on each model using grid search. The empirical results of the basic, hybrid and combined models revealed that the convolutional long short-term memory and Bayesian ridge models significantly outperformed the other basic models. …"
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Financial development and economic growth under uprisings
منشور في 2017"…This paper aims to examine the causal impact of the Arab Spring and government institutions on the finance-growth nexus. The empirical analysis is implemented for extensive firm-level panel data combined with national data covering macroeconomic and institutional factors for the period 2005-2014, starting six years before and continuing after the Arab Spring. …"
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Government and Financial Institutional Determinants of Development in MENA Countries
منشور في 2019"…This article aims to examine the causal impact of the Arab Spring (AS) and government institutions on the finance–growth nexus. The empirical analysis is implemented for extensive firm-level panel data combined with national data covering macroeconomic and institutional factors for the period 2005–2014, starting 6 years before and continuing after the AS. …"
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