Results 41 to 50 of about 2,906 (182)
Business Strategy and the Environment, Volume 35, Issue 4, Page 5895-5925, May 2026.ABSTRACT This study examines the economic consequences of Digital Technologies Disclosure (DTD), focusing on its impact on the cost of capital. The increasing significance of digital transformation in shaping corporate strategies and market perceptions motivates the study.
Hussein Mohsen Saber Ahmed +2 more
wiley +1 more source
An Overview of Deep Learning Techniques for Big Data IoT Applications
International Journal of Communication Systems, Volume 39, Issue 4, 10 March 2026.Reviews deep learning integration with cloud, fog, and edge computing in IoT architectures. Examines model suitability across IoT applications, key challenges, and emerging trends Provides a comparative analysis to guide future deep learning research in IoT environments.
Gagandeep Kaur +2 more
wiley +1 more source
Adaptive Node-Oriented Data Placement for Heterogeneous Hadoop Clusters
IEEE AccessModern society is experiencing a data explosion thanks to rapid IT development and the increasing intelligence of devices. The vast and complex data can be utilized to extract actionable insight using a big data processing framework.
Vishnu Prasad Verma +2 more
doaj +1 more source
AI‐driven perception management and political soft power: Insights from expert interviews
AI Magazine, Volume 47, Issue 1, Spring 2026.Abstract This study explores the role of artificial intelligence (AI) in perception management as an emerging tool of political soft power. Drawing on the theoretical frameworks of social psychology, strategic communication, and political communication, the research investigates how AI‐assisted strategies influence public perception, image, and trust ...
Özkul Haraç, Ayhan Dolunay
wiley +1 more source
LINEAR REGRESSION WITH R AND HADOOP [PDF]
Challenges of the Knowledge Society, 2015 In this paper we present a way to solve the linear regression model with R and Hadoop using the Rhadoop library. We show how the linear regression model can be solved even for very large models that require special technologies.
Bogdan OANCEA
doaj
A Multi‐Layered Analysis of Energy Consumption in Spark
Concurrency and Computation: Practice and Experience, Volume 38, Issue 3, February 2026.ABSTRACT Although energy has become a major concern in data processing systems, it is usually hard to get a deep understanding of how performance and energy consumption relate to each other when planning how to configure a computing environment to execute a specific data‐oriented workload.
Nestor D. O. Volpini +2 more
wiley +1 more source
Neural Network Models for Solar Irradiance Forecasting in Polluted Areas: A Comparative Study
Energy Science &Engineering, Volume 14, Issue 2, Page 935-961, February 2026.Pollution‐aware hybrid ensemble model is proposed to forecast solar irradiance across eight diverse cities. The model integrates MLP, RNN, and NARX to handle varying atmospheric pollution levels. The model outperforms state‐of‐the‐art methods with enhanced accuracy and interpretability on standard solar irradiance data set.
Mujtaba Ali +6 more
wiley +1 more source
Applied System InnovationThe surge in big data and analytics has catalysed the proliferation of cybercrime, largely driven by organisations’ intensified focus on gathering and processing personal data for profit while often overlooking security considerations.
Cephas Mpungu +2 more
doaj +1 more source
Известия высших учебных заведений. Поволжский регион:Технические науки, 2023 Background. Currently, the volume of data generated in the agro-industrial sector is extremely large and is growing faster than the speed of computing. Thus, using traditional methods such as SQL or a single machine to store or process data can be both
M.Yu. Mikheev, S. Helal
doaj +1 more source
Optimising Image Feature Extraction and Selection: A Comprehensive Review With Spark Case Studies
Expert Systems, Volume 43, Issue 2, February 2026.ABSTRACT As benchmark image datasets expand in sample size and feature complexity, the challenge of managing increased dimensionality becomes apparent. Contrary to the expectation that more features equate to enhanced information and improved outcomes, the curse of dimensionality often hampers performance.
J. Guzmán Figueira‐Domínguez +2 more
wiley +1 more source