15 January 2026

Energy awareness prediction model based on multi-agent decision-making modeling in green supply chain marketing strategy

"This paper introduces a novel energy awareness prediction model for green supply chain marketing under the dual carbon strategy. By integrating evidence theory for robust multi-source data fusion, K-means clustering to identify distinct behavioral patterns among supply chain agents, and BiLSTM for temporal trend forecasting, the framework effectively models dynamic multi-agent decision-making. Experimental results demonstrate superior accuracy, with reduced RMSE and MAE, and relative error below 8% compared to baselines like CNN-BiLSTM, offering a practical tool for sustainable marketing interventions."

Muhammad Asif, Handling Editor

7 January 2026

Multi-step-ahead forecasting of bike-sharing demand using multilayer perceptron model with additional timestamp features

"This manuscript tackles the problem of predicting bike-sharing demand at the station level to optimize bike availability, a practical and relevant urban mobility challenge. It proposes a multi-step-ahead MLP-based forecasting model that uses past rental data and temporal features, and systematically compares its performance against several machine learning baselines."

Ana Maguitman, Handling Editor

5 January 2026

Clustering student argumentation types by implementing a multi-document clustering model: a combination of Pytorch and BERT

"This work offers an interesting contribution to the field of automated evaluation of argumentative writing by showing how the integration of discourse-based analysis with transformer-enhanced multi-document clustering can improve the assessment of student argument quality."

Ana Maguitman, Handling Editor

12 December 2025

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

9 December 2025

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

9 December 2025

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

25 November 2025

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

24 November 2025

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

18 November 2025

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

10 November 2025

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