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Section Highlights View all Applications of Artificial Intelligence articles arrow right

A semantic enhanced clothing recommendation system based on implicit trust graphs and ontology web language
"This is a good contribution in clothing recommendations system."
Muhammad Asif, Handling Editor
Emotion classification using advanced neural networks on sentence-level data
"The authors have presented an interesting study of how neural networks can be used to classify emotions on imbalanced data."
Juan Lara, Handling Editor
Robust coffee plant disease classification using deep learning and advanced feature engineering techniques
"This study describe a unique original application of deep learning for agricultural sciences."
Davide Chicco, Handling Editor
Cursive character prediction using a deep learning model
"As a reviewer noticed, the article contains huge improvements for handwritten sign recognition through deep learning."
Davide Chicco, Handling Editor
Topological insights and hybrid feature extraction for breast cancer detection: a persistent homology classification approach
"The article presents an interesting computational analysis of data from patients with cancer, through an innovative and original approach"
Davide Chicco, Handling Editor
A cascading policy learning framework for enhancing power grid resilience
"This paper presents a relevant methodological contribution by proposing a staged reinforcement learning strategy (PPO → TRPO → A2C) aimed at enhancing power-grid resilience. The approach offers a promising direction for stabilizing DRL training in complex control environments. While the results in Grid2Op are encouraging, the lack of broader baselines, scalability analysis, and real-world validation currently limits its generalizability. Nonetheless, the planned release of code and data increases the reproducibility and potential impact of the work."
Carlos Fernandez-Lozano, Section Editor
FRVC: frame relevance based video compression for surveillance videos using deep learning methods
"The article presents an innovative frame compression mechanism based on the frame importance. Although it is not a revolutionary idea, it is significant enough in its field."
Antonio Jesus Diaz-Honrubia, Handling Editor
Enhanced Convolutional Neural Network (CNN)-Long Short-Term Memory (LSTM) attention model with adaptive loss for lithium-ion battery state of health estimation
"The paper addresses the current issue of monitoring health status of battery life. Very useful."
Arun Somani, Handling Editor
Online suicide ideation detection (OnSIDe): a context-aware transfer learning approach using BERT-CNN
"The article presents an interesting data science study for suicide prevention from social media data."
Davide Chicco, Handling Editor
CIAE: a consistency- and informativeness-aware explanation framework for improving type 2 diabetes prediction and mechanistic insights
"The article presents an interesting application of machine learning to analyze type two diabetes data"
Davide Chicco, Handling Editor
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