A new era in poverty diagnostics: Experiential knowledge from machine learning to improve the efficiency of social programs in combating poverty
2026
Public social programs—conceived as a response to societal demands for broader welfare coverage not only in Brazil but also worldwide—rely heavily on self-reported data from registries of low-income...
Implications of algorithmic bias in AI-driven emergency response systems
2026
In this paper, we introduce a framework to evaluate the economic implications of algorithmic bias specifically for the emergency response systems that incorporate AI. Unlike existing research, which...
A supervised variational autoencoder framework for dimensionality reduction and predictive modeling in high-dimensional socioeconomic data
2026
We introduce an estimation framework utilizing a Supervised Variational Autoencoder (SVAE) to address challenges posed by high-dimensional socioeconomic data. Unlike classical linear dimensionality...
Towards sustainable transport in Visegrád countries: Decomposition of emissions drivers and policy directions
2026
This study addresses a critical research gap in understanding the drivers of transportation emissions in Central Europe by applying the Kaya Identity and Logarithmic Mean Divisia Index (LMDI) methods....
A resource-efficient ensemble machine learning framework for detecting rank attacks in RPL-based IoT networks
2026
The Internet of Things (IoT) links intelligent devices across various sectors, including healthcare, smart cities, and industrial systems, aiming to improve everyday experiences. Despite its benefits,...
An optimization framework for mechanism design in the digital sharing economy
2026
This paper introduces a conceptual framework for optimizing mechanism design in the context of the digital sharing economy. Mechanism optimization aims to identify the most effective mechanism that...
Transforming research with quantum computing
2026
Quantum computing is a novel method of computation that uses the principles of quantum mechanics to handle highly challenging situations in a very short amount of time. Quantum technology has the ability...
A comprehensive review of Artificial Intelligence regulation: Weighing ethical principles and innovation
2026
We present a comprehensive review of Artificial Intelligence (AI) regulation, addressing the challenges and needs associated with governing rapidly evolving AI technologies. We begin by exploring the...
Valuation of a sequential compound option considering electricity generation and transmission expansions
2026
An integrated model considering both generation and transmission expansions is needed for long-term planning in the electrical sector because of the interlinked nature of these decisions. Our paper...
An innovative way of analyzing COVID topics with LLM
2026
In the aftermath of the COVID-19 pandemic, international landscapes have been profoundly reshaped, with shifts in political alliances, economic priorities, and socio-cultural norms. Such evolutions,...
Synergizing transformer-based models and financial sentiment analysis: A framework for generative AI in economic decision-making
2026
This study introduces a new way to analyze financial sentiment by combining advanced transformer-based models with generative artificial intelligence (AI) to better understand the language and context...
Strategies to achieving deep decarbonisation in power generation: A review
November 2025
Transitioning to low-carbon power generation is crucial for combatting climate change and achieving sustainability goals. This review delves into the literature on deep decarbonisation strategies within...
Business confidence in the shift to renewable energy: A country-specific assessment in major Asian economies
November 2025
The growing awareness of the importance of transitioning to sustainable energy sources emphasizes the necessity of fostering business optimism toward renewable energy, as businesses wield significant...
Advanced computational methods for news classification: A study in neural networks and CNN integrated with GPT
November 2025
In an era inundated with vast amounts of information, the imperative for efficient news classification is paramount. This research explores the sophisticated integration of neural networks and convolutional...
Deciphering algorithmic collusion: Insights from bandit algorithms and implications for antitrust enforcement
November 2025
This paper explores algorithmic collusion from both legal and economic perspectives, underscoring the increasing influence of algorithms in firms’ market decisions and their potential to facilitate...
Global adoption of generative AI: What matters most?
November 2025
This study investigates the determinants of generative AI adoption across 136 countries, leveraging cross-sectional data from 2023 and employing a negative binomial regression model to address data...
Techno-economic and emissions comparison of waste-to-fuel via hydrothermal liquefaction, transesterification, and incineration
November 2025
The global shift toward sustainable waste management and renewable energy has sparked interest in biofuel production from sewage sludge (SS). This study evaluated four waste-to-biofuel processes like...
Leveraging federated learning for privacy-preserving analysis of multi-institutional electronic health records in rare disease research
November 2025
This research announces that the fresh federated learning structure is designed to enhance the privacy-preserving analysis of electronic health records (EHRs), and multiple institutions in this framework...
The role of parental circumstances and luck in shaping socioeconomic success: A simulation-based analysis of talent
November 2025
This study investigates the interplay between parental circumstances, talent, and luck in shaping long-term socioeconomic success through an agent-based simulation model. Building on prior research...
Examining the impacts of information and communication technology (ICT) on national development and wellbeing: A global perspective
November 2025
The impacts of information and communications technology (ICT) on national development and wellbeing is a current research issue. By integrating four World Bank datasets and World Happiness Report’s...
Research on the low-carbon transformation of energy consumption under population aging in China
November 2025
The low-carbon transformation of energy consumption is a key path to achieving the carbon emissions peak and carbon neutrality in China. Furthermore, technological innovation and policy regulation are...
ChatGPT and CLT: Investigating differences in multimodal processing
November 2025
Drawing on construal level theory, recent studies have demonstrated that ChatGPT interprets text inputs from an abstract perspective. However, as ChatGPT has evolved into a multimodal tool, this research...
User activity to enhance customer lifetime value modeling in contractual streaming industry
November 2025
This article presents a model for Customer Lifetime Value (CLV) tailored to the subscription-based streaming industry, incorporating both contractual dynamics and user activity. Unlike traditional CLV...
Innovative machine learning approaches for complexity in economic forecasting and SME growth: A comprehensive review
November 2025
Economic forecasting and small and medium-sized enterprises (SMEs) growth prediction have become essential tools for guiding policy, business strategy, and economic development in an increasingly data-driven...
Enhancing energy resilience in manufacturing enterprises: A systematic mapping of challenges to strategies
November 2025
An unreliable energy supply disrupts productivity and operational stability in manufacturing enterprises worldwide. Addressing these challenges requires achieving consensus among experts from diverse...
