Clean Technologies and Environmental Policy, Год журнала: 2025, Номер unknown
Опубликована: Апрель 23, 2025
Язык: Английский
Waste Management Bulletin, Год журнала: 2024, Номер 2(2), С. 244 - 263
Опубликована: Май 9, 2024
Waste management poses a pressing global challenge, necessitating innovative solutions for resource optimization and sustainability. Traditional practices often prove insufficient in addressing the escalating volume of waste its environmental impact. However, advent Artificial Intelligence (AI) technologies offers promising avenues tackling complexities systems. This review provides comprehensive examination AI's role management, encompassing collection, sorting, recycling, monitoring. It delineates potential benefits challenges associated with each application while emphasizing imperative improved data quality, privacy measures, cost-effectiveness, ethical considerations. Furthermore, future prospects AI integration Internet Things (IoT), advancements machine learning, importance collaborative frameworks policy initiatives were discussed. In conclusion, holds significant promise enhancing practices, such as concerns, cost implications is paramount. Through concerted efforts ongoing research endeavors, transformative can be fully harnessed to drive sustainable efficient practices.
Язык: Английский
Процитировано
65
Resources, Год журнала: 2023, Номер 12(10), С. 115 - 115
Опубликована: Сен. 26, 2023
The discourse surrounding sustainability, particularly in the urban environment, has gained considerable momentum recent years. concept of a smart city epitomises integration innovative technological solutions with community-centred approaches, thereby laying groundwork for sustainable lifestyle. One crucial components this is effective and management waste. aim article was to classify scientific research pertaining waste within context issues, identify emerging directions future research. A systematic literature review, based on bibliometric analysis articles included Scopus Web Science databases, conducted study. purpose such review identify, integrate, evaluate selected topic, using clearly defined criteria. query included: TITLE-ABS-KEY (“smart city” AND (waste OR garbage trash rubbish)) case Scopus, TS = database. total 1768 publication records qualified analysis. This study presents an investigation into current forthcoming cities, synthesising latest advancements methods. findings outline specific encompassing advancement, special challenges, digitisation, energy recovery, transportation, community engagement, policy development, security, novel frameworks, economic environmental impact assessment, global implications. These insights reflect multifaceted approach, advocating technology-driven perspective that integral sustainability quality life. study’s provide practical avenues cities enhance through modern technologies, promoting efficient systems contributing living circular economy. are vital policymakers industry leaders globally, supporting creation universal standards policies, fostering comprehensive aligned objectives.
Язык: Английский
Процитировано
54
Bioresource Technology, Год журнала: 2023, Номер 390, С. 129829 - 129829
Опубликована: Окт. 13, 2023
Язык: Английский
Процитировано
29
Sustainability, Год журнала: 2023, Номер 15(12), С. 9451 - 9451
Опубликована: Июнь 12, 2023
The world’s current linear economic model is unsustainable. This encourages improper use of limited natural resources and causes abundant waste production resulting in severe harm to the environment. A circular economy (CE) a sustainable, restorative, regenerative alternative gaining popularity worldwide. Amongst various digital technologies, Artificial intelligence (AI) crucial enabler for CE can aid significantly with adoption implementation real-world applications. In this paper, we describe intersection AI policies around implementing principles using AI. As means grounding discussion, discuss some initiatives taken by Irish government adopt circularity explore role plays these. We present number practical examples from Ireland. argue that digitalisation has potential it major play transition towards CE. close paper reflecting on future steps implementations AI-based processes.
Язык: Английский
Процитировано
24
Postharvest Biology and Technology, Год журнала: 2025, Номер 222, С. 113396 - 113396
Опубликована: Янв. 12, 2025
Язык: Английский
Процитировано
1
Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 133, С. 108154 - 108154
Опубликована: Март 6, 2024
Язык: Английский
Процитировано
8
Engineering Applications of Artificial Intelligence, Год журнала: 2024, Номер 132, С. 107926 - 107926
Опубликована: Янв. 31, 2024
Increases in population and prosperity are linked to a worldwide rise garbage. The "classification" "recycling" of solid waste is crucial tactic for dealing with the problem. This paper presents new two-layer intelligent decision system sorting based on fused features Deep Learning (DL) models as well selection an optimal deep Waste-Sorting Model (WSM) Multi-Criteria Decision Making (MCDM). A dataset comprising 1451 samples images waste, distributed across four classes – cardboard (403), glass (501), metal (410), general trash (137), was used sorting. study proposes Multi-Fused Matrix (MFDM) identified fusion score level rules, evaluation criteria, waste-sorting models. Five rules process perspectives into MFDM sum, weighted product, maximum, minimum rules. Additionally, each entropy Visekriterijumska Optimizacija i Kompromisno Resenje Serbian (VIKOR) methods weighting selected criteria ranking WSMs. highest accuracy rate 98% scored by ResNet50-GoogleNet- Inception rule. However, under same rule, insufficient presented ResNet50-GoogleNet-Xception. Since Qi = 0 Inception-Xception, final output MCDM indicates that Inception-Xception model outperforms other WSMs, which achieved lowest values Qi. Thus, chosen best multiple different perspectives. mean standard deviation metrics were both validate findings objectively. suggested approach can aid urban decision-makers prioritizing choosing Artificial Intelligence (AI)-optimized model.
Язык: Английский
Процитировано
6
Journal of Cleaner Production, Год журнала: 2024, Номер unknown, С. 143753 - 143753
Опубликована: Сен. 1, 2024
Язык: Английский
Процитировано
6
Sustainability, Год журнала: 2022, Номер 14(20), С. 13084 - 13084
Опубликована: Окт. 12, 2022
The circular economy (CE) has been frequently in the news recently, as it offers a regenerative system that substitutes end-of-life concept with restoration. Despite several benefits yielded by CE from triple-bottom-line perspective, India’s vehicle (ELV) recycling sector is striving against numerous impediments to implementing approach. Therefore, this paper attempts shine spotlight on ELV sector, identify potential drivers and barriers implementation. This study employed an explorative approach determine regarding sector. research reveals economic viability (25 percent), environmental degradation (17 global agenda (15 percent) are three leading primary drivers. In contrast, limited technology (18 financial constraints lack of knowledge expertise (12 significant thwart implementation made first attempt explore India. besides advancing our understanding opportunities for threats CE, investigation may assist Indian authorities devising appropriate policies strategies developing regulatory legal framework conducive sustainability.
Язык: Английский
Процитировано
23
Environmental Science and Pollution Research, Год журнала: 2024, Номер unknown
Опубликована: Фев. 22, 2024
Язык: Английский
Процитировано
5