Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 377 - 428
Published: Nov. 22, 2024
Language: Английский
Elsevier eBooks, Journal Year: 2024, Volume and Issue: unknown, P. 377 - 428
Published: Nov. 22, 2024
Language: Английский
Cleaner Waste Systems, Journal Year: 2025, Volume and Issue: 10, P. 100227 - 100227
Published: Feb. 7, 2025
Language: Английский
Citations
2Journal of Cleaner Production, Journal Year: 2024, Volume and Issue: 460, P. 142584 - 142584
Published: May 18, 2024
Language: Английский
Citations
14International Journal of Chemical Reactor Engineering, Journal Year: 2024, Volume and Issue: 22(7), P. 719 - 727
Published: July 1, 2024
Abstract The adoption of biofuels as an energy source has experienced a substantial increase, exceeding the consumption fossil fuels. shift can be ascribed to availability renewable resources for production and ecological advantages linked their utilisation. Nevertheless, due its intricate characteristics, process producing ethanol fuel from biomass poses difficulties in terms administration, enhancement, forecasting future results. To tackle these difficulties, it is crucial utilise modelling techniques like artificial intelligence (AI) create, oversee, improve bioethanol procedures. Artificial Neural Networks (ANN) prominent AI technique that offers significant systems’ pretreatment, fermentation, conversion stages. They are highly flexible accurate, making them particularly well-suited. This study thoroughly examines several used production, specifically focusing on research published past ten years. analysis emphasises importance using methods address complexities shows role enhancing efficiency sustainability biofuel industry.
Language: Английский
Citations
10Advances in business strategy and competitive advantage book series, Journal Year: 2025, Volume and Issue: unknown, P. 35 - 68
Published: Jan. 31, 2025
The incorporation of Artificial Intelligence (AI) within Industry 5.0 significantly enhances resilience among small businesses. This chapter explores how AI transforms resilience, sustainability, and customer engagement strategies. With Small businesses can analyze large datasets to identify risks, optimize operations, deliver personalized experiences that align with consumer expectations. AI's ability process data efficiently allows anticipate market changes navigate uncertainties. Additionally, adopting fosters a culture encouraging employees embrace change. also supports sustainable practices by optimizing resource use reducing waste. Customer improves through AI-driven personalization, allowing tailor products services individual preferences. concludes recommendations for businesses: invest in employee training collaboration, ensure leadership commitment, prioritize foster adaptability thrive today's 5.0.
Language: Английский
Citations
1Materials Today Sustainability, Journal Year: 2025, Volume and Issue: unknown, P. 101090 - 101090
Published: Feb. 1, 2025
Language: Английский
Citations
1Energy Conversion and Management, Journal Year: 2024, Volume and Issue: 307, P. 118360 - 118360
Published: April 3, 2024
Language: Английский
Citations
5Environmental science and engineering, Journal Year: 2025, Volume and Issue: unknown, P. 453 - 488
Published: Jan. 1, 2025
Language: Английский
Citations
0Published: Jan. 1, 2025
Language: Английский
Citations
0Foundations of Chemistry, Journal Year: 2025, Volume and Issue: unknown
Published: March 14, 2025
Language: Английский
Citations
0Current Pollution Reports, Journal Year: 2025, Volume and Issue: 11(1)
Published: April 11, 2025
Language: Английский
Citations
0