To what extent solid waste could be managed through intelligent approaches?

Proceedings of the Institution of Civil Engineers - Waste and Resource Management, Journal Year: 2025, Volume and Issue: unknown, P. 1 - 13

Published: April 10, 2025

Waste management has been considered an antecedent of delivering environmental sustainability. However, the present conventional waste approaches have several difficulties in addressing significance effectively managing solid to avoid health and problems. Therefore, research aims identify intelligent tackle issue waste. The study conducts a systematic literature review through bibliometric content analysis 226 relevant articles using Scopus database. findings from descriptive highlight year-by-year publication trend, significant sources, affiliation statistics various institutions, corresponding author’s nation. Furthermore, offers three clusters based on artificial intelligence, machine learning techniques, Internet Things. Also, findings, article provides framework offer thorough understanding use different This impact given summarises highlights how are what will be possible outcome doing so.

Language: Английский

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INTEGRATING GEOSPATIAL TECHNOLOGIES AND MACHINE LEARNING FOR MONITORING AND ASSESSING ENVIRONMENTAL IMPACTS OF MINING ACTIVITIES IN THE SOUTH EAST OF NIGERIA: A STRUCTURED REVIEW

FUDMA Journal of Sciences, Journal Year: 2025, Volume and Issue: 9(1), P. 406 - 422

Published: April 16, 2025

The environmental impacts of mining activities in Southeast Nigeria pose significant challenges and threats to the local ecosystems communities. Research reveals that impact these had hitherto been poorly monitored or assessed due inefficient manual approach used. Now, there are currently gaps literature on potential advanced technologies for sustainable management vis-à-vis practices Nigeria. This research therefore seeks bridge this gap has adopted a review method synthesize existing knowledge determine prospects integration geospatial machine learning monitoring managing support improved decision-making. adhered PRISMA guidelines, which involved an initial evaluation 550 articles eventually resulted 64 relevant materials used study. findings indicate led severe land degradation, deforestation, water contamination, adversely affecting biodiversity livelihoods. study also revealed hold great monitoring, assessment, as whole call urgent policy considerations from stakeholders governments.

Language: Английский

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A machine learning multimodal profiling of per- and Polyfluoroalkyls (PFAS) distribution across animal species organs via clustering and dimensionality reduction techniques

Food Research International, Journal Year: 2025, Volume and Issue: unknown, P. 116463 - 116463

Published: April 1, 2025

Language: Английский

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Problems, Effects, and Methods of Monitoring and Sensing Oil Pollution in Water: A Review

Water, Journal Year: 2025, Volume and Issue: 17(9), P. 1252 - 1252

Published: April 23, 2025

Oil pollution in water bodies is a substantial environmental concern that poses severe risks to human health, aquatic ecosystems, and economic activities. Rising energy consumption industrial activity have resulted more oil spills, damaging long-term ecology. The aim of the review discuss problems, effects, methods monitoring sensing water. can destroy habitat. Once gets into habitats, it changes both physically chemically, depending on temperature, wind, wave currents. If not promptly addressed, these processes repercussions spread, persistence, toxicity oil. Effective early identification are vital limit harm permit timely reaction cleanup Three main categories define three methodologies spill detection. Remote utilizes satellite imaging airborne surveillance monitor large-scale spills trace their migration across bodies. Accurate real-time detection made possible by optical sensing, which uses fluorescence infrared identify measure contamination based its particular characteristics. Using sensor networks Internet Things (IoT) technologies, wireless improves response capacity continuous automated settings. In addition, effectiveness advanced artificial intelligence (AI) techniques, such as deep learning (DL) machine (ML), enhancing accuracy, predicting leak patterns, optimizing strategies, investigated. This assesses advantages limits technologies offers future research directions advance monitoring. results help create sustainable efficient plans for controlling safeguarding habitats.

Language: Английский

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Book Review

Environmental Modelling & Software, Journal Year: 2025, Volume and Issue: 186, P. 106357 - 106357

Published: Feb. 7, 2025

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Building consistency in explanations: Harmonizing CNN attributions for satellite-based land cover classification

Machine Learning with Applications, Journal Year: 2025, Volume and Issue: unknown, P. 100653 - 100653

Published: May 1, 2025

Language: Английский

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Opportunities and Challenges in IoT for Environmental Monitoring

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 279 - 300

Published: May 2, 2025

IoT technology has changed the way various environmental areas including air, water, soil and wildlife disaster management through use of real-time data. employs next-generation sensors, Artificial Intelligence, blockchain, virtual doubles for prognostic information, decision, management. Nevertheless, WSIGN still challenges as: connectivity problems, high costs, data privacy security, e-waste. This paper discusses these problems examples solutions such as smart agriculture, air quality monitoring response. Through resolution by via infrastructure, devices growth can considerably contribute to global strength ecological sustainability with practices appropriate investigators industries.

Language: Английский

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