Digital divide or digital opportunities: interrogating online news consumption pattern of Ghanaian tertiary students by Mohammed Faisal Amadu

“…Digital technologies are profoundly disrupting news production, distribution and consumption worldwide. Young people have been at the forefront of adopting new digital news sources, yet research on their evolving habits in developing countries is scarce. …”
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IoT-Driven Intelligent Energy Management: Leveraging Smart Monitoring Applications and Artificial Neural Networks (ANN) for Sustainable Practices by Azza Mohamed, Ibrahim Ismail, Mohammed AlDaraawi

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Leveraging LLMs for predictive insights in food policy and behavioral interventions by Micha Kaiser, Paul M. Lohmann, Peter Ochieng, Billy Shi, Cass R. Sunstein, Lucia A. Reisch

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Leveraging machine learning for data-driven building energy rate prediction by Nasim Eslamirad, Mehdi Golamnia, Payam Sajadi, Francesco Pilla

“…These findings underscore the effectiveness of ML in Urban Building Energy Modelling (UBEM), particularly in forecasting energy consumption patterns and identifying high-energy-use buildings. …”
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Leveraging digital twins for community-driven sustainable WEFE nexus management by Ali Shehadeh, Odey Alshboul, Mohammad Tamimi

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Leveraging Eco-Innovation in Building Green Products: Practical Examples from Organizations by Roxana-Maria BARB

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Leveraging machine learning for sustainable solid waste management: A global perspective by Ajaya Subedi, Sahil Shrestha, Anish Ghimire, Shukra Raj Paudel

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Leveraging Variable Frequency Drive Data for Nondestructive Testing and Predictive Maintenance in Industrial Systems by Carl Lee Tolbert

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Leveraging blockchain for ecosystem service transparency: enhancing consumer value and sustainability in the beef industry by Rebeca Cordero-Gutiérrez, Eva Lahuerta-Otero, Ana Zapatero-González

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Predicting Residential Energy Consumption in South Africa Using Ensemble Models by David Attipoe, Donatien Koulla Moulla, Ernest Mnkandla, Alain Abran

“…These base predictor models leverage historical energy consumption patterns to capture temporal intricacies, including seasonal variations and rolling averages. …”
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Leveraging Social Media Data to Understand the Impact of COVID-19 on Residents' Dietary Behaviors: Observational Study by Chuqin Li, Alexis Jordan, Yaorong Ge, Albert Park

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Resolving Energy Consumption Issues and Spectrum Allocation for Future Broadband Networks by Sinan Najamaldeen Azzah, Sadia Din, Muhammad Ilyas, Imran Ashraf, Gyu Sang Choi

“…Post clustering analysis involves visualization and statistical data mining techniques to analyze the energy consumption patterns and reallocating to a more appropriate group. …”
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The SDG accelerator: Circular economy solutions through efficient sustainable consumption by Anupam Khajuria, Prabhat Verma, Atienza Vella, Daniela Zanini-Freitag, Hao Xin, Indu K. Murthy, Jatinder K. Arora, Kamani Sylva, Lakshmi Menon, Sushma Pardeshi, Ulrich Kral, Xiao Liu

“…By leveraging education to drive systemic changes in consumption patterns and waste management, this study contributes to a deeper understanding of how these elements collectively support the achievement of the UN SDGs, particularly SDG 12 (responsible consumption and production) and SDG 4 (quality education).…”
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From counsel to consumption: examining sociocultural influences on perinatal nutrition in rural India by Faiz A. Hashmi, Cristine H. Legare

“…We focused on three key areas: caloric adequacy, micronutrient consumption, and food avoidance patterns. We investigated how education and other social determinants influence these dietary choices. …”
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Beyond Theory: Leveraging Business Intelligence Tools to Uncover Actionable Pathways for Mapping the Intention–Behavior Gap in Behavioral Sciences by Mohammad Alhur, Ahmad N. Abudoush, Raed Alqirem, Mohamed M. Mostafa

“…Based on these findings, the study highlights how strong thematic links in intention–behavior research can inform cross-domain interventions—such as integrating physical activity and organic food campaigns or leveraging sustainable tourism to promote ethical consumption—by targeting shared psychological drivers like health identity and self-image. …”
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Forecasting Ethanol and Gasoline Consumption in Brazil: Advanced Temporal Models for Sustainable Energy Management by André Luiz Marques Serrano, Patricia Helena dos Santos Martins, Guilherme Fay Vergara, Guilherme Dantas Bispo, Gabriel Arquelau Pimenta Rodrigues, Letícia Rezende Mosquéra, Matheus Noschang de Oliveira, Clovis Neumann, Maria Gabriela Mendonça Peixoto, Vinícius Pereira Gonçalves

“…By leveraging datasets spanning 72, 144, and 263 months, the study aims to assess the effectiveness of these models in capturing complex temporal consumption patterns. …”
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Short-term power consumption forecasting using neural networks with first- and second-order differencing by Meftah Elsaraiti

“… Electricity consumption forecasting is critical for efficient energy management and planning. …”
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Forecasting Residential Energy Consumption with the Use of Long Short-Term Memory Recurrent Neural Networks by Zurisaddai Severiche-Maury, Carlos Eduardo Uc-Rios, Wilson Arrubla-Hoyos, Dora Cama-Pinto, Juan Antonio Holgado-Terriza, Miguel Damas-Hermoso, Alejandro Cama-Pinto

“…This dual structure enhances accuracy by capturing both device-specific consumption patterns and overall household energy use, facilitating informed decision-making at multiple levels. …”
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Transforming Prediction into Decision: Leveraging Transformer-Long Short-Term Memory Networks and Automatic Control for Enhanced Water Treatment Efficiency and Sustainability by Cheng Qiu, Qingchuan Li, Jiang Jing, Ningbo Tan, Jieping Wu, Mingxi Wang, Qianglin Li

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Universal IoT-Enabled Smart Battery Charging Optimization: Leveraging AI, Automata Theory, and Real-Time Data for Enhanced Lifespan and Efficiency by Arora Divyansh, Goswami Ananya, Ranjan Mritunjay, Sattar Arif Md

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