28 February 2025

Leveraging LLaMA2 for improved document classification in English

"This study demonstrates that LLaMA2 improves English document classification by outperforming traditional methods on the WOS-5736 dataset while offering insights into its decision-making process."

Carlos Fernandez-Lozano, Section Editor

28 February 2025

A majority voting framework for reliable sentiment analysis of product reviews

"This article introduces an innovative majority voting framework for sentiment analysis, combining multiple tools to improve sentiment labeling reliability."

Mehmet Cunkas, Section Editor

28 February 2025

Blockchain and explainable-AI integrated system for Polycystic Ovary Syndrome (PCOS) detection

"This article is significant as it combines Blockchain and Explainable AI, two cutting-edge technologies, to address the critical challenge of Polycystic Ovary Syndrome detection. Its integration of secure data management and transparent AI decision-making has the potential to improve diagnostic approaches and women healthcare."

Sivaramakrishnan Rajaraman, Handling Editor

21 February 2025

Machine learning-based feature selection and classification for cerebral infarction screening: an experimental study

"The article highlights the significance of using machine learning for early, non-invasive screening of cerebral infarction. By leveraging speech and cognitive data to perform classification tasks, it proposes a low-cost, accessible screening method that could be especially beneficial in resource-limited areas where immediate imaging isn't possible. This approach broadens diagnostic options beyond traditional imaging, aiding in early intervention and potentially reducing long-term disabilities."

Carlos Fernandez-Lozano, Section Editor

20 February 2025

GATI-RS model using Bi-LSTM and multi-head attention mechanism to enhance online shopping experience for the elderly with accurate click-through rate prediction

"The article makes a significant contribution by addressing a growing issue in e-commerce: improving the online shopping experience for elderly users."

Mehmet Cunkas, Section Editor

20 February 2025

BiLSTM-enhanced legal text extraction model using fuzzy logic and metaphor recognition

"The study presents a Bi-LSTM-based model integrating fuzzy language processing and self-attention to enhance legal text extraction for online governance, achieving notable accuracy and efficiency."

Muhammad Asif, Handling Editor

13 February 2025

Origin-destination prediction from road average speed data using GraphResLSTM model

"The article aims to make more accurate predictions by using road average speed data instead of traditional traffic flow data, taking advantage of richer information dimensions."

Mehmet Cunkas, Section Editor

12 February 2025

Leveraging a hybrid convolutional gated recursive diabetes prediction and severity grading model through a mobile app

"This study introduces a hybrid model for diabetes prediction and severity grading, combining convolutional neural networks (CNNs) with gated recursive neural networks (GRNNs). The model processes diverse inputs such as medical records, lab results, and lifestyle data to predict diabetes risk and grade its severity. Integrated into a mobile app, the system provides real-time, user-friendly insights for patients and healthcare providers."

Muhammad Asif, Handling Editor

28 January 2025

Social media network public opinion emotion classification method based on multi-feature fusion and multi-scale hybrid neural network

"This research presents a multi-feature fusion word vector model (WOOSD-CNN) and a unified learning framework for aspect-level sentiment analysis, achieving improved sentiment polarity accuracy and addressing challenges like label drift and position awareness in User Generated Content (UGC) text."

Muhammad Asif, Handling Editor

27 January 2025

Deep learning for enhanced risk management: a novel approach to analyzing financial reports

"Very hot topic in enhanced risk management using AI!"

Valentina Emilia Balas, Handling Editor