Design of Block-Scrambling-Based privacy protection mechanism in healthcare using fusion of transfer learning models with Hippopotamus optimization algorithm by Ghada Moh. Samir Elhessewi, Mohammed Yahya Alzahrani, Mohammad Alamgeer, Abdulbasit A. Darem, Da’ad Albalawneh, Mohammed Alqahtani, Mutasim Al Sadig, Sultan Alanazi

“…Nearly 30–70% of individuals globally have skin-related health issues, for whom efficient and effective analysis is essential. …”
Get full text

Predicting suicidal behavior outcomes: an analysis of key factors and machine learning models by Mohammad Bazrafshan, Kourosh Sayehmiri

“…This study aimed to determine the critical risk factors associated with suicidal behavior mortality and identify an effective classification model for predicting suicidal behavior outcomes. …”
Get full text

A mobile hybrid deep learning approach for classifying 3D-like representations of Amazonian lizards by Arthur Gonsales da Silva, Arthur Gonsales da Silva, Roger Pinho de Oliveira, Caio de Oliveira Bastos, Caio de Oliveira Bastos, Elena Almeida de Carvalho, Bruno Duarte Gomes

“…Image classification is a highly significant field in machine learning (ML), especially when applied to address longstanding and challenging issues in the biological sciences, such as specie recognition and biodiversity conservation. …”
Get full text

Evaluation of Rehabilitation Outcomes in Patients with Chronic Neurological Health Conditions Using a Machine Learning Approach by Gabriele Santilli, Massimiliano Mangone, Francesco Agostini, Marco Paoloni, Andrea Bernetti, Anxhelo Diko, Lucrezia Tognolo, Daniele Coraci, Federico Vigevano, Mario Vetrano, Maria Chiara Vulpiani, Pietro Fiore, Francesca Gimigliano

“…The International Classification of Functioning, Disability, and Health (ICF) provides a comprehensive framework for assessing these patients. …”
Get full text

ANN-SVM-IP: An Innovative Method for Rapidly and Efficiently Detecting and Classifying of External Defects of Apple Fruits by Nashaat M. Hussain Hassan, Mohamed M. Hassan Mahmoud, Mohamed A. Ismeil, M. Mourad Mabrook, A. A. Donkol, A. M. Mabrouk

“…This paper attempts to address these issues by offering a novel method (ANN-SVM-IP) that integrates image processing (IP)-based segmentation and ML algorithms (ANN-SVM) for extracting and classifying exterior defects in apple fruits. …”
Get full text

Las ofertas anormalmente bajas y el procedimiento abierto simplificado by Jaime Pintos Santiago

“…The issue analyzed and studied in this work is the product of a comparative analysis of the former regulation as set out by section 152 of the Royal Legislative Decree 3/2011 of November 14th approving the restated text of the Public Procurement Act (hereinafter, TRLCSP), focusing on the processing of the abnormally low tenders in the framework of the open simplified procedures according to the wording of the new Act 9/2017 of November 8th, on the Public Sector Contracts. …”

A cross-sectional study on the correlation between exercise frequency and mental health among university students based on international physical activity questionnaire-short form... by Xingbin Du, Xingbin Du, Fugao Jiang, Shuping Yuan, Shuping Yuan

Get full text

Fine-tuned PhoBERT for sentiment analysis of Vietnamese phone reviews by Tan Minh Ngo, Ba Hung Ngo, Stuchilin Vladimir Valerievich

Get full text

Fine-tuned PhoBERT for sentiment analysis of Vietnamese phone reviews by Tan Minh Ngo, Ba Hung Ngo, Stuchilin Vladimir Valerievich

Get full text

Enhancing Aspect-Based Sentiment Analysis in Imbalanced Multilabel Datasets using Resampling and Classifiers for Digital Signature Applications by Efriza Cahya Narendra, Amalia Anjani Arifiyanti, Tri Luhur Indayanti Sugata

“…This study explores the application of three resampling techniques, including MLROS, MLSMOTE, and REMEDIAL, to address this issue in multilabel classification. Using multilabel classifiers, including Binary Relevance, Label Powerset, and Classifier Chains, the study systematically evaluates their performance. …”
Get full text

Cyberbullying detection of resource constrained language from social media using transformer-based approach by Syed Sihab-Us-Sakib, Md. Rashadur Rahman, Md. Shafiul Alam Forhad, Md. Atiq Aziz

Get full text

Health status and visit reasons for children attending the Pediatric Dentistry department in damascus university, damascus, Syria: A retrospective study by Mohamad Bashier Almonaqel, Ramah Eimad Makieh

“…Clinical relevance: Unmet dental needs are a significant issue for both healthy children and those with special health care needs. …”
Get full text

Change Detection methods for forest expansion assessment in the last twenty years in the Mediterranean Basin by Mancino G, Falciano A, Trivigno ML

“…The evaluation of natural forest expansion is a crucial issue for understanding fundamental processes related to climate change and carbon uptake. …”
Get full text

Listener Acoustic Personalization Challenge—LAP24: Head-Related Transfer Function Dataset Harmonization by Rapolas Daugintis, Roberto Barumerli, Michele Geronazzo, Johan Pauwels, Lorenzo Picinali, Katarina C. Poole

Get full text

Information and communication technologies as a basis for the development of the information society: Russia in the system of international statistical indicators by Svetlana G. Bychkova, Lidiya S. Parshintseva

“…For the study, the methods of multidimensional classification, analysis of variation, as well as a tabular method of visual presentation of the research results were used as statistical tools. …”
Get full text

Assessing the Level of Employment in the Informal Sector of the Economy of Russian Regions Using Modern Machine Learning Methods by Aleksey Nikolaevich Borisov, Aleksandr Ivanovich Borodin, Roman Vladimirovich Gubarev, Evgeny Ivanovich Dzuyba, Oksana Mikhaylovna Kulikova

“…According to the classification results, we can conclude that a cardinal change in the current situation is not expected in the future. …”
Get full text

Enhancing IoT device security: CNN-SVM hybrid approach for real-time detection of DoS and DDoS attacks by Al-Na’amneh Qais, Aljaidi Mohammad, Nasayreh Ahmad, Gharaibeh Hasan, Al Mamlook Rabia Emhamed, Jaradat Ameera S., Alsarhan Ayoub, Samara Ghassan

Get full text

TCSRNet: a lightweight tobacco leaf curing stage recognition network model by Panzhen Zhao, Panzhen Zhao, Songfeng Wang, Shijiang Duan, Aihua Wang, Lingfeng Meng, Yichong Hu

“…To address this issue, this study proposes the development of a lightweight classification network model for recognizing tobacco leaf curing stages (TCSRNet). …”
Get full text

Risk Factors Affecting Quality of Life in Chronic Limb Threatening Ischemia Patients by Wu R, Yu Y, Guo J, Gao X, Tong Z, Guo J, Cui S, Zhang C, Guo L

Get full text

Identifying Human Factor Causes of Remotely Piloted Aircraft System Safety Occurrences in Australia by John Murray, Steven Richardson, Keith Joiner, Graham Wild

“…Examining an RPAS accident database from 2008–2019 for HF-caused accidents and coding to the Human Factors Analysis and Classification System (HFACS) taxonomy, an exploration of RPAS HFs is carried out and the predominant HF issues for RPAS pilots identified. …”
Get full text