A smart waste classification model using hybrid CNN-LSTM with transfer learning for sustainable environment

Multimedia Tools and Applications, Journal Year: 2023, Volume and Issue: 83(10), P. 29505 - 29529

Published: Sept. 13, 2023

Language: Английский

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Automotive industry's circularity applications and industry 4.0

Environmental Challenges, Journal Year: 2023, Volume and Issue: 12, P. 100725 - 100725

Published: April 30, 2023

The automotive industry is experiencing a monumental shift from internal combustion engine cars to electric vehicles and embracing Industry 4.0 technologies. This response the high anthropogenic impacts of at 14% all direct indirect emissions worldwide. However, occurring not holistic only focused on addressing their point use commonly referred as tailpipe emissions. A more solution for ensure future proof impactful change would be linear flow materials circular one, energy feasible maintain if industries are meant sustainable. framework economy provides across lifecycle vehicle providing path towards robust sustainable transportation solution. paper aims examine industry's initiatives under 4.0. To understand circularity efforts reduce knowledge gap. Automotive was selected since it responsible significant portion environmental impacts. qualitative descriptive analysis top 10 companies global fortune 500 list conducted assess level based presented by authors. findings include that shifting EVs, 50% have evidence 1 initiatives, 90% 2 initiatives. currently in operation scale has scarcely addressed any aspects car outside its power train, fuel technology, recycling. Therefore, avoid like one experiencing, must incorporate transition EVs.

Language: Английский

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Municipal solid waste management for low-carbon transition: A systematic review of artificial neural network applications for trend prediction

Environmental Pollution, Journal Year: 2024, Volume and Issue: 344, P. 123386 - 123386

Published: Jan. 17, 2024

Language: Английский

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Advances in materials informatics: a review

Journal of Materials Science, Journal Year: 2024, Volume and Issue: 59(7), P. 2602 - 2643

Published: Feb. 1, 2024

Language: Английский

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Harnessing AI for Sustainable Shipping and Green Ports: Challenges and Opportunities

Applied Sciences, Journal Year: 2024, Volume and Issue: 14(14), P. 5994 - 5994

Published: July 9, 2024

The maritime industry, responsible for moving approximately 90% of the world’s goods, significantly contributes to environmental pollution, accounting around 2.5% global greenhouse gas emissions. This review explores integration artificial intelligence (AI) in promoting sustainability within sector, focusing on shipping and port operations. By addressing emissions, optimizing energy use, enhancing operational efficiency, AI offers transformative potential reducing industry’s impact. highlights application fuel optimization, predictive maintenance, route planning, smart management, alongside its role autonomous logistics management. Case studies from Maersk Line Port Rotterdam illustrate successful implementations, demonstrating significant improvements emission reduction, monitoring. Despite challenges such as high implementation costs, data privacy concerns, regulatory complexities, prospects industry are promising. Continued advancements technologies, supported by collaborative efforts public–private partnerships, can drive substantial progress towards a more sustainable efficient industry.

Language: Английский

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Mechanical upcycling of single-use face mask waste into high-performance composites: An ecofriendly approach with cost-benefit analysis

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 919, P. 170469 - 170469

Published: Feb. 2, 2024

The COVID-19 pandemic created an unprecedented demand for PPE, with single-use face masks emerging as a critical tool in containing virus transmission. However, the extensive use and improper disposal of these masks, predominantly composed non-biodegradable plastics, has exacerbated environmental challenges. This research presents innovative method mechanically upcycling PPEs used medical sectors i.e. single masks. study investigates facile approach reclamation infection-free pure polypropylene (PP) plastic from discarded (W-PP) blends it various vegetable oil percentages (5, 10 20 %), resulting versatile material suitable applications. Melt flow index, rheological behaviour, DSC FTIR were employed to investigate effect oil/radical initiator through chemical grafting on W-PP properties. results demonstrate significant enhancements tensile strength modulus when blended radical initiator. There was marked increase (33 %) strain (55 compared untreated W-PP, rendering both robust flexible. Furthermore, we this upcycled fabrication glass fibre-reinforced composites, notable impact resistance. demonstrates excellent potential applications, such sheet forming 3D printing, where non-brittleness plastics plays pivotal role manufacturing high-quality products. cost-benefit analysis underscores PPE waste sustainable solution mitigate pollution conserve valuable resources. applications span wide range industries, including automotive packaging, printing.

Language: Английский

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AI Based Prediction Algorithms for Enhancing the Waste Management System: A Comparative Analysis

E3S Web of Conferences, Journal Year: 2024, Volume and Issue: 552, P. 01052 - 01052

Published: Jan. 1, 2024

Waste management has become an increasingly pressing issue due to urbanization, population growth, and economic development. According World Bank projections, waste production will reach 3.4 billion tonnes by 2050. The paper is focused on detailed analysis of techniques that be improved resources maximized, able deal with various types waste, including agricultural industrial municipal solid (MSW), electronic (e-waste). advancement in the artificial intelligence fields drawn attention towards utilizing its benefits achieving optimized different wastes also. description on-recyclable materials which can transformed into energy using waste-to-energy (WTE) technologies. generated sectors are being studied details their quantity challenges handling wastes. literature highlights performance methodologies terms efficiency, impacts ecological implications. prediction models was discussed respect R 2 value mean absolute error (MAE) root square (RMSE) find most suitable algorithm. conclusion suggested these AI based optimization methods bring about enhancement conversion process making more sustainable reliable.

Language: Английский

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The Impact of COVID-19 on Waste Infrastructure: Lessons Learned and Opportunities for a Sustainable Future

International Journal of Environmental Research and Public Health, Journal Year: 2023, Volume and Issue: 20(5), P. 4310 - 4310

Published: Feb. 28, 2023

The onset of the COVID-19 pandemic posed many global challenges, mainly in healthcare sector; however, impacts on other vital sectors cannot be overlooked. waste sector was one significantly impacted during pandemic, as it dramatically changed dynamics generation. Inadequate management practices shed light opportunities for developing systematic, sustainable, and resilient infrastructure future. This study aimed to exploit learnings identify any potential post-pandemic infrastructure. A comprehensive review existing case studies conducted understand generation strategies COVID-19. Infectious medical from facilities had largest influx compared with non-medical residential sectors. then identified five key a long-term operational perspective: considering critical area focus; encouraging integration decentralization facilities; systematic novel approaches tools quantifying waste; shifting towards circular economy approach; modernizing policies improve effectiveness

Language: Английский

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Ecotoxicological impacts of landfill sites: Towards risk assessment, mitigation policies and the role of artificial intelligence

The Science of The Total Environment, Journal Year: 2024, Volume and Issue: 927, P. 171804 - 171804

Published: March 20, 2024

Waste disposal in landfills remains a global concern. Despite technological developments, landfill leachate poses hazard to ecosystems and human health since they act as secondary reservoir for legacy emerging pollutants. This study provides systematic scientometric review of the nature toxicity pollutants generated by means assessing their potential risks. Regarding health, unregulated waste pathogens are leading causes diseases reported local populations. Both vitro vivo approaches have been employed ecotoxicological risk assessment leachate, with model organisms ranging from bacteria birds. These studies demonstrate wide range toxic effects that reflect complex composition geographical variations climate, resource availability, management practices. Based on bioassay (and other) evidence, categories persistent chemicals most concern include brominated flame retardants, per- polyfluorinated chemicals, pharmaceuticals, alkyl phenol ethoxylates. However, more general literature microplastic suggests these particles might also be problematic leachate. Various mitigation strategies identified, focussing improving design or treatment, developing alternative methods reducing volume through recycling using sustainable materials. The success efforts will rely policies practices enforcement, which is seen particular challenge nations at international transboundary) level. Artificial intelligence machine learning afford options evaluating risks associated leachates gaseous emissions landfills, various tested having discussed. addressing limitations data collection, accuracy, real-time monitoring our understanding environmental impacts critical realising this potential.

Language: Английский

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Promoting and maintaining public participation in waste separation policies — A comparative study in Shanghai, China

Resources Environment and Sustainability, Journal Year: 2023, Volume and Issue: 12, P. 100112 - 100112

Published: Feb. 10, 2023

Waste management is an evolutionary system, but few studies have explored how and why public willingness to participate in waste separation changes, or possible paths increase residents' participate. This paper took Shanghai as a case study of city that has experienced recent environmental policy change embrace feedback perspective. The results showed after the implementation, resident's satisfaction with increased by only 5.3%, participation actually decreased 5.4%. A Geodetector model both attitude knowledge are highly important before implementation. Residents' community largest soon implementation while importance time occupied dropped significantly. Policy simulation system dynamics community-driven scenario was able achieve 95% 2 years earlier than baseline scenario. Improving improving infrastructure can offset adverse effects number categories. helps quantify interaction between institutional find effective measures maintain environmentally-friendly behaviors.

Language: Английский

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