Big data and machine learning driven bioprocessing–recent trends and critical analysis
Given the potential of machine learning algorithms in revolutionizing the bioengineering
field, this paper examined and summarized the literature related to artificial intelligence (AI) …
field, this paper examined and summarized the literature related to artificial intelligence (AI) …
Multi-modal deep learning diagnosis of parkinson's disease—A systematic review
V Skaramagkas, A Pentari… - … on Neural Systems …, 2023 - ieeexplore.ieee.org
Parkinson's Disease (PD) is among the most frequent neurological disorders. Approaches
that employ artificial intelligence and notably deep learning, have been extensively …
that employ artificial intelligence and notably deep learning, have been extensively …
Traffic prediction using machine learning
HR Deekshetha, AV Shreyas Madhav… - … Computing and Mobile …, 2022 - Springer
The paper deals with traffic prediction that can be done in intelligent transportation systems
which involve the prediction between the previous year's dataset and the recent year's data …
which involve the prediction between the previous year's dataset and the recent year's data …
Exploring the Role of Machine Learning in Diagnosing and Treating Speech Disorders: A Systematic Literature Review
Purpose Speech disorders profoundly impact the overall quality of life by impeding social
operations and hindering effective communication. This study addresses the gap in …
operations and hindering effective communication. This study addresses the gap in …
A convolutional neural network (CNN)-based pneumonia detection using chest X-ray images
J Pal, S Das - Using Multimedia Systems, Tools, and Technologies …, 2023 - igi-global.com
Pneumonia is a fatal illness; an infection that occurs in one or both human lungs. It is caused
by either bacterial or viral infection. Pneumonia impacts mostly elders, as well as children …
by either bacterial or viral infection. Pneumonia impacts mostly elders, as well as children …
Emerging innovations in the near future using deep learning techniques
A Pramod, HS Naicker, AK Tyagi - Advanced Analytics and …, 2022 - Wiley Online Library
Due to recent development in technology, we can see many rapid changes in many sectors.
Some popular rapid technologies of previous decade are deep learning, disruptive …
Some popular rapid technologies of previous decade are deep learning, disruptive …
Smart Hospital in Smart Cities
The healthcare landscape is experiencing a significant transformation with the rise of smart
hospitals. Smart hospitals, also referred to as digital or intelligent hospitals, leverage …
hospitals. Smart hospitals, also referred to as digital or intelligent hospitals, leverage …
[HTML][HTML] Health informatics to enhance the healthcare industry's culture: An extensive analysis of its features, contributions, applications and limitations
Background Health informatics is a fast-growing area in the healthcare sector. It concerns
the technologies, tools, equipment, and procedures required to gather, store, retrieve, and …
the technologies, tools, equipment, and procedures required to gather, store, retrieve, and …
Digital Health Communication With Artificial Intelligence-Based Cyber Security
Digital health communication (DHC) has become an increasingly popular domain of the
healthcare industry, enabling effective and efficient communication between healthcare …
healthcare industry, enabling effective and efficient communication between healthcare …
Health and medical informatics research: Identifying international collaboration patterns at the country and institution level
ECO Tapia, JJA Infantes, PCC Calderón… - … Journal of Science …, 2024 - ijsmc.pro-metrics.org
Objective. In this study, we employed a bibliometric approach to identify and analyze
international collaboration trends between countries and institutions engaged in the …
international collaboration trends between countries and institutions engaged in the …