[HTML][HTML] Sentiment Analysis on E-Commerce Product Reviews Using Machine Learning and Deep Learning Algorithms: A Bibliometric Analysisand Systematic …
A Daza, NDG Rueda, MSA Sánchez… - International Journal of …, 2024 - Elsevier
The success of every company is based on the service provided to customers, so it is
essential to know the perception of buyers in relation to specific products, this allows the …
essential to know the perception of buyers in relation to specific products, this allows the …
[HTML][HTML] AI-powered ensemble machine learning to optimize cost strategies in logistics business
This research investigates the potential advantages of using artificial intelligence (AI) to
drive ensemble machine learning (ML) for enhancing cost strategies and maximizing profits …
drive ensemble machine learning (ML) for enhancing cost strategies and maximizing profits …
Comprehensive review of depression detection techniques based on machine learning approach
Depression has become a serious disease that affects people's mental state and is an
important part of the global disease burden. Research in this area began later in 1920 and …
important part of the global disease burden. Research in this area began later in 1920 and …
Advancing early diagnosis of Alzheimer's disease with next-generation deep learning methods
Alzheimer's disease, characterized by cognitive decline and memory impairment, poses a
significant healthcare challenge. This study presents a specially designed CNN model …
significant healthcare challenge. This study presents a specially designed CNN model …
Evaluation of Feature Transformation and Machine Learning Models on Early Detection of Diabetes Melitus
The increasing prevalence of diabetes necessitates the development of effective early
detection methods to mitigate its health impacts. This paper investigates the impact of …
detection methods to mitigate its health impacts. This paper investigates the impact of …
Multimodal mental health digital biomarker analysis from remote interviews using facial, vocal, linguistic, and cardiovascular patterns
Objective: Psychiatric evaluation suffers from subjectivity and bias, and is hard to scale due
to intensive professional training requirements. In this work, we investigated whether …
to intensive professional training requirements. In this work, we investigated whether …
An improved generative adversarial network to oversample imbalanced datasets
Many oversampling methods applied to imbalanced data generate samples according to
local density distribution of minority samples. However, samples generated by these …
local density distribution of minority samples. However, samples generated by these …
Prediction of upcoming urinary tract infection after intracerebral hemorrhage: a machine learning approach based on statistics collected at multiple time points
Y Zhao, C Chen, Z Huang, H Wang, X Tie… - Frontiers in …, 2023 - frontiersin.org
Purpose Accurate prediction of urinary tract infection (UTI) following intracerebral
hemorrhage (ICH) can significantly facilitate both timely medical interventions and …
hemorrhage (ICH) can significantly facilitate both timely medical interventions and …
[HTML][HTML] Web-Enhanced Vision Transformers and Deep Learning for Accurate Event-Centric Management Categorization in Education Institutions
In the digital era, social media has become a cornerstone for educational institutions, driving
public engagement and enhancing institutional communication. This study utilizes AI-driven …
public engagement and enhancing institutional communication. This study utilizes AI-driven …
NarrationDep: Narratives on social media for automatic depression detection
Social media posts provide valuable insight into the narrative of users and their intentions,
including providing an opportunity to automatically model whether a social media user is …
including providing an opportunity to automatically model whether a social media user is …