AI Medical Compendium Journal:
PeerJ. Computer science

Showing 11 to 20 of 54 articles

Revolutionizing market surveillance: customer relationship management with machine learning.

PeerJ. Computer science
In the telecommunications industry, predicting customer churn is essential for retaining clients and sustaining profitability. Traditional CRM systems often fall short due to their static models, limiting responsiveness to evolving customer behaviors...

Quantum-inspired seagull optimised deep belief network approach for cardiovascular disease prediction.

PeerJ. Computer science
The early detection and accurate diagnosis of cardiovascular diseases is vital to reduce global morbidity and death rates. In this work, the quantum-inspired seagull optimization algorithm (QISOA) combined with a deep belief network (DBN) is proposed...

SA-FLIDS: secure and authenticated federated learning-based intelligent network intrusion detection system for smart healthcare.

PeerJ. Computer science
Smart healthcare systems are gaining increased practicality and utility, driven by continuous advancements in artificial intelligence technologies, cloud and fog computing, and the Internet of Things (IoT). However, despite these transformative devel...

Multimodal Alzheimer's disease classification through ensemble deep random vector functional link neural network.

PeerJ. Computer science
Alzheimer's disease (AD) is a condition with a complex pathogenesis, sometimes hereditary, characterized by the loss of neurons and synapses, along with the presence of senile plaques and neurofibrillary tangles. Early detection, particularly among i...

Synthetic data analysis for early detection of Alzheimer progression through machine learning algorithms.

PeerJ. Computer science
Alzheimer's disease (AD) is a serious neurodegenerative disorder that causes incurable and irreversible neuronal loss and synaptic dysfunction. The progress of this disease is gradual and depending on the stage of its detection, only its progression ...

Word embedding empowered topic recognition in news articles.

PeerJ. Computer science
Advancements in technology have placed global news at our fingertips, anytime, anywhere, through social media and online news sources. Analyzing the extensive electronic text collections is urgently needed. According to the scholars, combining the to...

A conditional random field based approach for high-accuracy part-of-speech tagging using language-independent features.

PeerJ. Computer science
Part-of-speech (POS) tagging is the process of assigning tags or labels to each word of a text based on the grammatical category. It provides the ability to understand the grammatical structure of a text and plays an important role in many natural la...

An ensemble approach for research article classification: a case study in artificial intelligence.

PeerJ. Computer science
Text classification of research articles in emerging fields poses significant challenges due to their complex boundaries, interdisciplinary nature, and rapid evolution. Traditional methods, which rely on manually curated search terms and keyword matc...

Acoustic Sensors data transmission integrity and endurance with IoT-enabled location-aware framework.

PeerJ. Computer science
Environmental monitoring and disaster mitigation are critical applications of underwater acoustic sensor networks (UASNs). However, UASNs face significant challenges, including high latency, limited bandwidth, and energy constraints. This study intro...

Word embedding for social sciences: an interdisciplinary survey.

PeerJ. Computer science
Machine learning models learn low-dimensional representations from complex high-dimensional data. Not only computer science but also social science has benefited from the advancement of these powerful tools. Within such tools, word embedding is one o...