15 April 2025

Enhancing skin lesion classification: a CNN approach with human baseline comparison

"This article is important because it addresses critical gaps in current research by introducing a novel methodological approach. Its significance lies in the innovative combination of deep learning techniques with human expertise, which enhances the accuracy and reliability of skin lesion classification. The study has a strong impact on the field, as it contributes to the advancement of healthcare applications by improving diagnostic processes. Additionally, its findings have broader implications for the development of deep learning and machine learning algorithms, paving the way for more effective and interpretable AI-driven medical solutions."

Carlos Fernandez-Lozano, Section Editor

7 April 2025

YOLOv8-POS: a lightweight model for coal-rock image recognition

"This paper enhances coal-rock recognition by reducing false detections and improving efficiency with YOLOv8-POS optimized modules."

Mehmet Cunkas, Section Editor

7 April 2025

Comparison of deep learning models in automatic classification of coffee bean species

"This study provides significant contributions to applications such as quality control and product separation in the agricultural and food industry by enabling automatic classification of coffee beans with high accuracy."

Mehmet Cunkas, Section Editor

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