AI Medical Compendium Journal:
PeerJ. Computer science

Showing 1 to 10 of 54 articles

Enhanced transformer for length-controlled abstractive summarization based on summary output area.

PeerJ. Computer science
Recent advancements in abstractive summarization models, particularly those built on encoder-decoder architectures, typically produce a single summary for each source text. Controlling the length of summaries is crucial for practical applications, su...

Challenges issues and future recommendations of deep learning techniques for SARS-CoV-2 detection utilising X-ray and CT images: a comprehensive review.

PeerJ. Computer science
The global spread of SARS-CoV-2 has prompted a crucial need for accurate medical diagnosis, particularly in the respiratory system. Current diagnostic methods heavily rely on imaging techniques like CT scans and X-rays, but identifying SARS-CoV-2 in ...

Golden eagle optimized CONV-LSTM and non-negativity-constrained autoencoder to support spatial and temporal features in cancer drug response prediction.

PeerJ. Computer science
Advanced machine learning (ML) and deep learning (DL) methods have recently been utilized in Drug Response Prediction (DRP), and these models use the details from genomic profiles, such as extensive drug screening data and cell line data, to predict ...

Accessible interactive learning of mathematical expressions for school students with visual disabilities.

PeerJ. Computer science
Globally, students with visual disabilities face significant challenges in accessing and learning mathematics, particularly when solving mathematical equations and expressions. These challenges result from the inherent complexity and abstract nature ...

Machine learning models and dimensionality reduction for improving the Android malware detection.

PeerJ. Computer science
Today, a great number of attack opportunities for cybercriminals arise in Android, since it is one of the most used operating systems for many mobile applications. Hence, it is very important to anticipate these situations. To minimize this problem, ...

ISAnWin: inductive generalized zero-shot learning using deep CNN for malware detection across windows and android platforms.

PeerJ. Computer science
Effective malware detection is critical to safeguarding digital ecosystems from evolving cyber threats. However, the scarcity of labeled training data, particularly for cross-family malware detection, poses a significant challenge. This research prop...

Enhancing e-learning through AI: advanced techniques for optimizing student performance.

PeerJ. Computer science
The integration of Artificial Intelligence (AI) into e-learning has transformed conventional educational approaches, improving the learning process and maximizing student achievement. This study offers a thorough examination of how AI can be utilized...

Sentiment analysis of pilgrims using CNN-LSTM deep learning approach.

PeerJ. Computer science
Crowd management refers to the management and control of masses at specific locations. A Hajj gathering is an example. Hajj is the biggest gathering of Muslims worldwide. Over two million Muslims from all over the globe come annually to Makkah, Saudi...

A two-phase transfer learning framework for gastrointestinal diseases classification.

PeerJ. Computer science
Gastrointestinal (GI) disorders are common and often debilitating health issues that affect a significant portion of the population. Recent advancements in artificial intelligence, particularly computer vision algorithms, have shown great potential i...

A hybrid path planning algorithm combining A and improved ant colony optimization with dynamic window approach for enhancing energy efficiency in warehouse environments.

PeerJ. Computer science
This research presents a novel hybrid path planning algorithm combining A*, ant colony optimization (ACO), and the dynamic window approach (DWA) to enhance energy efficiency in warehouse environments. The proposed algorithm leverages the heuristic ca...