[HTML][HTML] Machine-learning-aided thermochemical treatment of biomass: a review
H Li, J Chen, W Zhang, H Zhan, C He… - Biofuel Research …, 2023 - biofueljournal.com
Thermochemical treatment is a promising technique for biomass disposal and valorization.
Recently, machine learning (ML) has been extensively used to predict yields, compositions …
Recently, machine learning (ML) has been extensively used to predict yields, compositions …
Artificial intelligence and machine learning-based monitoring and design of biological wastewater treatment systems
Artificial intelligence (AI) and machine learning (ML) are currently used in several areas. The
applications of AI and ML based models are also reported for monitoring and design of …
applications of AI and ML based models are also reported for monitoring and design of …
Solid waste biomass as a potential feedstock for producing sustainable aviation fuel: a systematic review
E Emmanouilidou, S Mitkidou, A Agapiou… - Renewable Energy, 2023 - Elsevier
The aviation industry is one of the most rapidly growing transportation sectors, and
contributes 2% of anthropogenic greenhouse gas emissions. Next decades, sustainable …
contributes 2% of anthropogenic greenhouse gas emissions. Next decades, sustainable …
Review on machine learning-based bioprocess optimization, monitoring, and control systems
Abstract Machine Learning is quickly becoming an impending game changer for
transforming big data thrust from the bioprocessing industry into actionable output. However …
transforming big data thrust from the bioprocessing industry into actionable output. However …
Artificial intelligence in plant breeding
Harnessing cutting-edge technologies to enhance crop productivity is a pivotal goal in
modern plant breeding. Artificial intelligence (AI) is renowned for its prowess in big data …
modern plant breeding. Artificial intelligence (AI) is renowned for its prowess in big data …
Harnessing the potential of microalgae-bacteria interaction for eco-friendly wastewater treatment: a review on new strategies involving machine learning and artificial …
In the pursuit of effective wastewater treatment and biomass generation, the symbiotic
relationship between microalgae and bacteria emerges as a promising avenue. This …
relationship between microalgae and bacteria emerges as a promising avenue. This …
Advances in machine learning technology for sustainable biofuel production systems in lignocellulosic biorefineries
In view of the global climate change concerns, the society is approaching towards the
development of 'green'and renewable energies for sustainable future. The non-renewable …
development of 'green'and renewable energies for sustainable future. The non-renewable …
Critical review on catalytic biomass gasification: State-of-Art progress, technical challenges, and perspectives in future development
Recently, biomass gasification process has gained lots of attention because of sustainable
energy sources utilization. Being renewable energy source, biomass can serve as a viable …
energy sources utilization. Being renewable energy source, biomass can serve as a viable …
Valorization of agro-food wastes: Ease of concomitant-enzymes production with application in food and biofuel industries
The novel and greener approach toward the co-production of hydrolytic enzymes in a single-
cultivation medium with inexpensive substrates can bring down the production costs …
cultivation medium with inexpensive substrates can bring down the production costs …
Biogas generation from biomass as a cleaner alternative towards a circular bioeconomy: Artificial intelligence, challenges, and future insights
In recent years, the growing trend of energy consumption from fossil fuels in the world has
faced mankind with two major crises of environmental pollution and the increasing …
faced mankind with two major crises of environmental pollution and the increasing …