A robust hybrid approach with product context-aware learning and explainable ai for sentiment analysis in amazon user reviews

E Hashmi, SY Yayilgan - Electronic Commerce Research, 2024 - Springer
In the ever-changing world of business, gaining valuable insights from customer
perspectives is crucial. Consumer evaluations are crucial performance indicators for …

Self-healing of semantically interoperable smart and prescriptive edge devices in IoT

A Dimara, VG Vasilopoulos, A Papaioannou… - Applied Sciences, 2022 - mdpi.com
Smart homes enhance energy efficiency without compromising residents' comfort. To
support smart home deployment and services, an IoT network must be established, while …

[Retracted] Enhancement Modelling Based on Electrical Discharge Machining Successive Discharges

FN Abed, V Ramesh, M Fadhil Jwaid… - … in Materials Science …, 2022 - Wiley Online Library
The surface roughness of Inconel 718 is predicted using a sequential discharge model for
electrical discharge machining (EDM). To begin with, the EDM single pulse discharge …

RC-LAHR: Road-Side-Unit-Assisted Cloud-Based Location-Aware Hybrid Routing for Software-Defined Vehicular Ad Hoc Networks

M Kumar, RS Raw - Sensors, 2024 - mdpi.com
The reliability of the communication link is quite common and challenging to handle as the
topology changes frequently in vehicular ad hoc networks (VANETs). Another problem with …

A healthcare application based on IoT devices

Y Ghoul, O Naifar - Wireless Networks, 2024 - Springer
In recent times, the healthcare sector has witnessed a surge of growth and transformation.
Gone are the days when patients' communication with medical practitioners was restricted to …

[Retracted] Operating Room Planning for Emergency Surgery: Optimization in Multiobjective Modeling and Management from the Latest Developments in …

Q Li, Y Liu, E Sipahi Döngül, Y Yang… - Computational …, 2022 - Wiley Online Library
This study presents an optimization approach for scheduling the operation room for
emergency surgeries, considering the priority of surgeries. This optimization model aims to …

Convolutional Neural Network Architectures to Solve a Problem of Tuberculosis Classification Using X‐Ray Images of the Lungs

J Alshudukhi, S Aljaloud, TS Alharbi… - Journal of …, 2022 - Wiley Online Library
Disease detection, diagnosis, and treatment can all be done with the help of digitalized
medical images. Macroscopic medical images are images obtained using ionizing radiation …

[Retracted] Investigation of the Role of Leuconostoc mesenteroides subsp. cremoris in Periodontitis around Abutments of Fixed Prostheses

SAM Hussein, RA Kareem… - BioMed Research …, 2022 - Wiley Online Library
This study included the role of Leuconostoc mesenteroides subsp. cremoris in oral diseases
such as periodontitis. Material and Method. Isolation and identification of Leuconostoc …

Big data analytics in supply chain management: A qualitative study

B Aljabhan, M Abeyie - Computational Intelligence and …, 2022 - Wiley Online Library
This work explores the leading supply chain processes impacted by big data analytic
techniques. Although these concepts are being extensively applied to supply chain …

[PDF][PDF] Design of a prototype for sending fire notifications in homes using fuzzy logic and internet of things

J Huaman-Castañeda, PC Tamara-Perez… - International Journal of …, 2024 - academia.edu
This paper highlights the need to address fire monitoring in densely populated urban areas
using innovative technology, in particular, the internet of things (IoT). The proposed …