A survey: From shallow to deep machine learning approaches for blood pressure estimation using biosensors
Over the past two decades, machine learning systems have been proliferating in the
healthcare industry domains, such as digital health, fitness tracking, patient monitoring, and …
healthcare industry domains, such as digital health, fitness tracking, patient monitoring, and …
[HTML][HTML] A systematic literature review about the consumers' side of fake review detection–Which cues do consumers use to determine the veracity of online user …
Background Consumers rely heavily on online user reviews when shop** online and
cybercriminals produce fake reviews to manipulate consumer opinion. Much prior research …
cybercriminals produce fake reviews to manipulate consumer opinion. Much prior research …
Artificial intelligence applications in fake review detection: Bibliometric analysis and future avenues for research
Artificial intelligence (AI) and machine learning (ML) are emergent tools for fake review
detection. This study provides a comprehensive overview of AI applications in fake review …
detection. This study provides a comprehensive overview of AI applications in fake review …
Fake review detection in e-Commerce platforms using aspect-based sentiment analysis
Consumers rely on internet user reviews. Existing sentiment-based detection systems fail to
capture consumer feelings regarding numerous aspects of products or services which …
capture consumer feelings regarding numerous aspects of products or services which …
A deep learning approach for detecting fake reviewers: Exploiting reviewing behavior and textual information
Ensuring the credibility of online consumer reviews (OCRs) is a growing societal concern.
However, the problem of fake reviewers on online platforms significantly influences e …
However, the problem of fake reviewers on online platforms significantly influences e …
Blockchain digital technology empowers E-commerce supply chain sustainable value co-creation decision and coordination considering online consumer reviews
X Wan, D Yang, Z Teng - Applied Soft Computing, 2022 - Elsevier
From the perspective of value co-creation, this study adopted Stackelberg game theory to
construct traditional e-commerce supply chain and BOCR technology e-commerce supply …
construct traditional e-commerce supply chain and BOCR technology e-commerce supply …
Detecting fake reviews through topic modelling
Against the uncertainty caused by the information overload in the online world, consumers
can benefit greatly by reading online product reviews before making their online purchases …
can benefit greatly by reading online product reviews before making their online purchases …
A benchmark study of machine learning for analysis of signal feature extraction techniques for blood pressure estimation using photoplethysmography (PPG)
Cardiovascular related diseases are the most significant health concern around the globe.
The most crucial health indicator is blood pressure because it gives essential information …
The most crucial health indicator is blood pressure because it gives essential information …
Detecting fake reviewers from the social context with a graph neural network method
LC Cheng, YT Wu, CT Chao, JH Wang - Decision Support Systems, 2024 - Elsevier
With the development of mobile Web technologies, people can easily seek advice from
social media before making purchases or decisions. Some companies employ expert writers …
social media before making purchases or decisions. Some companies employ expert writers …
The effect of fake reviews on e-commerce during and after Covid-19 pandemic: SKL-based fake reviews detection
The outbreak of Covid-19 and the enforcement of lockdown, social distancing, and other
precautionary measures lead to a global increase in online shop**. The increasing …
precautionary measures lead to a global increase in online shop**. The increasing …