[HTML][HTML] A novel hybrid model integrating MFCC and acoustic parameters for voice disorder detection
Voice is an essential component of human communication, serving as a fundamental
medium for expressing thoughts, emotions, and ideas. Disruptions in vocal fold vibratory …
medium for expressing thoughts, emotions, and ideas. Disruptions in vocal fold vibratory …
Explainable context-aware IoT framework using human digital twin for healthcare
Health, being a vital aspect of a fulfilling life, has experienced advancements through
improved medical services in alignment with Sustainable Development Goal 3 (SDG 3) …
improved medical services in alignment with Sustainable Development Goal 3 (SDG 3) …
[HTML][HTML] Sustainable and intelligent time-series models for epidemic disease forecasting and analysis
There is an increasing risk of outbreaks escalating into epidemics, despite huge advances in
medical science. Epidemics like COVID-19, Monkeypox, Influenza and HIV have been …
medical science. Epidemics like COVID-19, Monkeypox, Influenza and HIV have been …
Detecting spams in social networks using ML algorithms-a review
NS Murugan, GU Devi - International Journal of …, 2018 - inderscienceonline.com
The social network, by the name which has popularised in today's world and growing rapidly
at all times and controlling over mankind. The social networks like Twitter, Facebook, and …
at all times and controlling over mankind. The social networks like Twitter, Facebook, and …
A review of machine learning algorithms for web page classification
L Safae, B El Habib… - 2018 IEEE 5th International …, 2018 - ieeexplore.ieee.org
The internet contains a large amount of data, to exploit it a special treatment of its content
should be done, and a particular web information system should be developed. As a critical …
should be done, and a particular web information system should be developed. As a critical …
A novel deep federated learning-based model to enhance privacy in critical infrastructure systems
Deep learning (DL) can provide critical infrastructure operators with valuable insights and
predictive capabilities to help them make more informed decisions, improving system's …
predictive capabilities to help them make more informed decisions, improving system's …
Sustainable Data Dependency Resolution Architectural Framework to Achieve Energy Efficiency Using Speculative Parallelization
Parallelization algorithms have made remarkable progress since the introduction of
speculative parallelism for automatically parallelizing tasks on multi-core chips. This …
speculative parallelism for automatically parallelizing tasks on multi-core chips. This …
A novel Cumulative Indicator score using Indicator averaging for optimizing local business websites of enterprise systems
The success of any small-scale business depends on its online presence and visibility. An
objective measure for Search Engine Optimisation techniques will help small business …
objective measure for Search Engine Optimisation techniques will help small business …
Machine learning for web page classification: a survey
A TRAGHA - International Journal of Information Science and …, 2019 - innove.org
The Internet contains a vast amount of data that is growing exponentially. To exploit this
data, a Web information retrieval system and a categorization of internet content based on …
data, a Web information retrieval system and a categorization of internet content based on …
[HTML][HTML] Navigating the landscape: Safeguarding privacy and security in the era of ambient intelligence within healthcare settings
Ambient intelligence technologies have the potential to transform healthcare by providing
personalized, context-aware, and proactive support for patients and healthcare providers …
personalized, context-aware, and proactive support for patients and healthcare providers …