Fusion-Based Supply Chain Collaboration Using Machine Learning Techniques

Ali, Naeem; Ghazal, Taher M.; Ahmed, Alia; Abbas, Sagheer; Alzoubi, Haitham M.; Farooq, Umar; Ahmad, Munir; Khan, Muhammad Adnan

doi:10.32604/iasc.2022.019892

Cited by 179 publications

(35 citation statements)

References 33 publications

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“…Both the skills are inclusive of home control skill, accounting and finance skill, communal skills, security and fitness, and sporting skill, among others [28] and [29]. Initial reports show that SPA will acquire the user's choices, records, and facts, for instance, etymology, conduct, behavior, words, and searches using search engine optimization and machine learning techniques to make them more proficient and shrewder with time [30]. Succinctly, the choices and information, among others, are the ones that are vulnerable to attacks from enemies [31].…”

Section: Literature Reviewmentioning

confidence: 99%

Assessment of Smart Home Assistants as an IoT

Obaid

2021

Int. J. CIM

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A smart home personal assistant technology is an intrinsic system, which incorporates many elements such as users, Smart Home Personal Assistants (SPA) devices, cloud, skill provider and other responsive devices. Even though Smart Home Personal Assistants give a robust security and privacy options, the devices face many weaknesses, which make the system vulnerable and can be comprised by adversaries, who can capitalize on limitations to gain access to delicate information and privacy of users. In this research, the aim is to assess how invention and innovation of security and SPA can be harnessed by users to interrelate with the system. Subsequently, this write-up will address both the problems related to the system and attempt to bring in solutions, which makes the technology more adaptable and versatile to all users. Initial studies show that some of the weakness underlying the technology include the open-nature of the voice channel, complexity of the architecture, software implications, and the utility of the technology to less proficient users. As a result, the study anticipates at solving the voice squatting attack, using the SPA intelligent assistant, incorporating a filer to filter the ultrasonic attack and noise as well as trying to assess the efficacy of the elements developed against the voice squatting attacks. The study found out that there is a need to mitigate the attacks on the blockchain technology and Natural Language Processors (NLP) to assure protection of SPA from attacks.

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Section: Literature Reviewmentioning

confidence: 99%

Assessment of Smart Home Assistants as an IoT

Obaid

2021

Int. J. CIM

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“…The proper management of sustainable supply chain operations plays an undeniable role in environmental sustainability and positively impacts societies (Manavalan and Jayakrishna 2019 ). They were adequately designing and managing the sustainable flow of products and services from raw material to finished goods is considered significant in the circular economy (Waqas et al 2021 ; Khan et al 2020 ; Ali et al 2022 ). In recent years, literature review confirmed that plenty of research articles had been published by researchers on SSCM corresponding to the green technological innovations (Wangsa et al 2022 ).…”

Section: Introductionmentioning

confidence: 99%

Sustainable supply chain management and green technologies: a bibliometric review of literature

Waqas

Tabish

Tanveer

et al. 2022

Environ Sci Pollut Res

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To attain ecological sustainability and transition to sustainable supply chain management (SSCM), effective technological innovation (TI) and solid waste management (SWM), as likely impending resources, are essential components. From 2000 through 2021, a detailed map of SSCMs in the context of TI and systematic history will be created, highlighting the most significant research themes and trends, primary features, development, and possibly relevant areas for future study. Due to utilizing bibliometric analysis, text mining, and content analytics methodologies, the following concerns were addressed: (1) How has SSCM research progressed over time in the TI domain? (2) Which SSCM research areas and trends receive the most attention in the TI domain? Additionally, (3) what are the research directions for SSCM in the context of TI? As a result, bibliometric networks were developed and examined using 983 journal articles from the Scopus database to highlight the substantial body of literature. As a result, SSCM has been divided into five crucial study themes: (i) transition to TI, (ii) SSCM in closed-loop supply chains, (iii) municipal solid waste management (MSWM), (iv) environmental consequences and life-cycle evaluation, and (v) policymakers and practitioners in SSCM can use the SSCM research landscape and its primary highlight patterns to guide and add in the TI. Considering SSCM research as a way to reduce waste, future study directions are also suggested.

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“…in which different market actors work jointly to execute supply chain operations, is of particular importance for e-commerce, where most organizations prefer to cooperate with reliable and sustainable companies. Ali et al presented a fusion-based SCC solution [ 56 ], which utilized Support Vector Machine (SVM) and kNN algorithms. The authors also conceptualized a framework for effectively tackling disruption risks.…”

Section: Resultsmentioning

confidence: 99%

Applications of Fusion Techniques in E-Commerce Environments: A Literature Review

Daskalakis¹,

Remoundou²,

Πεππές³

et al. 2022

Sensors

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The extreme rise of the Internet of Things and the increasing access of people to web applications have led to the expanding use of diverse e-commerce solutions, which was even more obvious during the COVID-19 pandemic. Large amounts of heterogeneous data from multiple sources reside in e-commerce environments and are often characterized by data source inaccuracy and unreliability. In this regard, various fusion techniques can play a crucial role in addressing such challenges and are extensively used in numerous e-commerce applications. This paper’s goal is to conduct an academic literature review of prominent fusion-based solutions that can assist in tackling the everyday challenges the e-commerce environments face as well as in their needs to make more accurate and better business decisions. For categorizing the solutions, a novel 4-fold categorization approach is introduced including product-related, economy-related, business-related, and consumer-related solutions, followed by relevant subcategorizations, based on the wide variety of challenges faced by e-commerce. Results from the 65 fusion-related solutions included in the paper show a great variety of different fusion applications, focusing on the fusion of already existing models and algorithms as well as the existence of a large number of different machine learning techniques focusing on the same e-commerce-related challenge.

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Fusion-Based Supply Chain Collaboration Using Machine Learning Techniques

Cited by 179 publications

References 33 publications

Assessment of Smart Home Assistants as an IoT

Assessment of Smart Home Assistants as an IoT

Sustainable supply chain management and green technologies: a bibliometric review of literature

Applications of Fusion Techniques in E-Commerce Environments: A Literature Review

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