Co-combustion, life-cycle circularity, and artificial intelligence-based multi-objective optimization of two plastics and textile dyeing sludge

Ding, Ziyi; Chen, Zihong; Liu, Jingyong; Evrendilek, Fatih; He, Yao; Xie, Wei

doi:10.1016/j.jhazmat.2021.128069

Cited by 68 publications

(8 citation statements)

References 56 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…It processes components that receive input and output results depending on predetermined activation functions. ANNs are made up of several neuron layers to understand their relationship for future problem-solving tactics [ 23 , 24 ]. These layers include input, hidden, and output.…”

Section: Introductionmentioning

confidence: 99%

Thermal degradation of hazardous 3-layered COVID-19 face mask through pyrolysis: Kinetic, thermodynamic, prediction modelling using ANN and volatile product characterization

Nawaz¹,

Kumar²

2022

Journal of the Taiwan Institute of Chemical Engineers

View full text Add to dashboard Cite

Section: Introductionmentioning

confidence: 99%

Thermal degradation of hazardous 3-layered COVID-19 face mask through pyrolysis: Kinetic, thermodynamic, prediction modelling using ANN and volatile product characterization

Nawaz¹,

Kumar²

2022

Journal of the Taiwan Institute of Chemical Engineers

View full text Add to dashboard Cite

“…Most of the extant literature has been mindful of viewing banking services as financial services, and scholars have examined the efficacy of AI-driven services. However, certain studies have indicated the relevance of AI and banking (Dingz et al. , 2022).…”

Section: Introductionmentioning

confidence: 99%

AI-driven banking services: the next frontier for a personalised experience in the emerging market

Sheth

Jain

Roy

et al. 2022

IJBM

View full text Add to dashboard Cite

PurposeArtificial intelligence (AI) is used by banking services primarily to automate systems; however, this ecosystem does not work in emerging markets because human intervention is needed, and there are concerns related to infrastructure. There is plenty of research on AI-mediated banking services, but the existing discussions are cumbersome, and studies on AI's service features in banking for emerging markets are limited. Furthermore, the ongoing discussions are centred on developed markets where automation in banking services is noteworthy and accepted. Through this paper, the authors emphasise the relevance of AI mediation in emerging markets and the possible role of strategising AI in banking services for personalised experiences.Design/methodology/approachThe authors' article followed an exploratory, inductive approach through in-depth interviews and thematic analysis. In total, 36 financial experts were interviewed, and the relevant perspectives were analysed to develop the research process and framework for a personalised banking experience.FindingsThe authors' paper introduced five key themes and presented those themes accordingly. The first theme details the importance of AI-mediated banking and the skills necessary for operational capacity. The second theme is on the relevance of AI-mediated banking awareness amongst users. The third is about channelling the importance of AI-driven interfaces through managers and employees. Fourth, the authors emphasised the relevance of human intervention due to users' demographic patterns. The fifth theme led to a discussion on personalised AI-mediated banking services.Research limitations/implicationsThe authors recommend that managers understand the relevance of quality service amongst users. The authors' paper discusses the relevance of AI and human intervention in banking services; however, the process for seamless, personalised banking experiences is not provided. Thus, this paper encourages managers to build a banking ecosystem that delivers a seamless banking experience through AI.Originality/valueThe authors' paper highlights the importance of human intervention in AI-driven banking by introducing personalised service experience elements and highlighting the role of customer experience in AI-driven banking services in emerging markets.

show abstract

“…Although the reaction mechanism involved in the formation of MAHs in the oil is extremely complicated, researchers are still studying the molecular mechanism of the pyrolysis process by various methods. Experimentally, it is possible to determine the type and distribution of products at different pyrolysis temperatures through the method of temperature programming combined with synchronous detection and then to infer the formation mechanism of some pyrolysis products . In addition, the formation mechanism of different components can also be studied by real-time tracking of essential elements (such as S and N) during the pyrolysis .…”

Section: Introductionmentioning

confidence: 99%

“…Experimentally, it is possible to determine the type and distribution of products at different pyrolysis temperatures through the method of temperature programming combined with synchronous detection and then to infer the formation mechanism of some pyrolysis products. 11 In addition, the formation mechanism of different components can also be studied by real-time tracking of essential elements (such as S and N) during the pyrolysis. 12 However, the complex molecular structure and composition of the waste tire system bring an enormous amount of work to the experimental study of the reaction mechanism.…”

Section: Introductionmentioning

confidence: 99%

“… 14 Notably, the artificial neural network-based data analysis was adopted for the operation optimization. 15 , 16 The theoretical models combined with experimental data can facilitate a better understanding and optimization of the pyrolysis of waste tires. 17 , 18 However, sufficient experimental data are also required for building best-fit functions.…”

Section: Introductionmentioning

confidence: 99%

See 1 more Smart Citation

Formation Mechanism of Monocyclic Aromatic Hydrocarbons during Pyrolysis of Styrene Butadiene Rubber in Waste Passenger Car Tires

Zheng

Yao

et al. 2022

ACS Omega

View full text Add to dashboard Cite

The production of aromatic hydrocarbons from the waste tire pyrolysis attracts more and more attention because of its tremendous potential. Based on styrene-butadiene rubber (SBR), which is the main rubber in the waste passenger car tires, this work studies the temperature influence on primary pyrolysis product distribution by experimental techniques (Py-GC/MS, TG−MS), and then, the formation mechanism of monocyclic aromatic hydrocarbons (MAHs) observed in the experiment was analyzed by first-principles calculations. The experimental results show that the MAHs during the pyrolysis mainly include styrene, toluene, and xylene, and subsequent calculations showed that these compounds were formed through a series of primary and secondary reactions. The formation pathways of these typical MAHs were studied via the reaction energy barrier analysis, respectively. It shows that the MAHs were not only derived from the benzene ring in the SBR chain but also generated from short-chain alkenes through the Diels−Alder reaction. The obtained pyrolysis reaction mechanism provides theoretical guidance for the regulation of the pyrolysis product distribution of MAHs.

show abstract

Co-combustion, life-cycle circularity, and artificial intelligence-based multi-objective optimization of two plastics and textile dyeing sludge

Cited by 68 publications

References 56 publications

Thermal degradation of hazardous 3-layered COVID-19 face mask through pyrolysis: Kinetic, thermodynamic, prediction modelling using ANN and volatile product characterization

Thermal degradation of hazardous 3-layered COVID-19 face mask through pyrolysis: Kinetic, thermodynamic, prediction modelling using ANN and volatile product characterization

AI-driven banking services: the next frontier for a personalised experience in the emerging market

Formation Mechanism of Monocyclic Aromatic Hydrocarbons during Pyrolysis of Styrene Butadiene Rubber in Waste Passenger Car Tires

Contact Info

Product

Resources

About