A Weighted Facial Expression Analysis for Pain Level Estimation by Parkpoom Chaisiriprasert, Nattapat Patchsuwan

“…This study proposes a novel weighted analytical framework that integrates facial expression analysis through action units (AUs) with a facial feature-based weighting mechanism to enhance the estimation of pain intensity. …”
Get full text

Extraction of Fetal Electrocardiogram by Combining Deep Learning and SVD-ICA-NMF Methods by Said Ziani, Yousef Farhaoui, Mohammed Moutaib

Get full text

Comparative Study of Machine Learning and Deep Learning Models for Early Prediction of Ovarian Cancer by Hardik Dhingra, Roopashri Shetty

“…Ovarian cancer remains one of the most difficult gynecological cancers to detect early, often resulting in poor survival rates. …”
Get full text

Improved empirical wavelet transform combined with particle swarm optimization-support vector machine for EEG-based depression recognition by Yongxin Wang, Longqi Xu, Hongxu Qian, Haijun Lin, Xuhui Zhang

“…Afterward, these distinguishing characteristics are harnessed to detect depression through the optimized PSO-SVM algorithm. …”
Get full text

Analysis of Copper and Lead in Aerosols with Laser-Induced Breakdown Spectroscopy by Daniel Diaz, Alejandra Carreon, David W. Hahn

“…The liquid matrix of the aqueous droplets was evaporated before the LIBS analysis, and the remaining gas-phase analyte-rich aerosols were analyzed in a LIBS system that featured a 1064 nm Nd:YAG laser, a Czerny–Turner spectrometer, and an ICCD camera. …”
Get full text

Analysis of Regions of Homozygosity: Revisited Through New Bioinformatic Approaches by Susana Valente, Mariana Ribeiro, Jennifer Schnur, Filipe Alves, Nuno Moniz, Dominik Seelow, João Parente Freixo, Paulo Filipe Silva, Jorge Oliveira

“…Multidimensional scaling showed that ROH count and sum were key predictors of consanguinity, achieving a test F1-score of 0.96 with additional features. <b>Conclusions:</b> This study contributes with new bioinformatics tools for ROH analysis in a clinical setting, providing unprecedented population-level ROH data for Portugal.…”
Get full text

Heart Signal Analysis Using Multistage Classification Denoising Model by Ravi Raj Choudhary, Mamta Rani, Ranjit Kaur, Mahendra Bhadu

“…Combining the CNN’s skill in feature extraction with the LSTM’s capacity to record time-dependent features improves the efficacy of the model. …”
Get full text

Toward an Accurate Liver Disease Prediction Based on Two-Level Ensemble Stacking Model by Marghany Hassan Mohamed, Botheina Hussein Ali, Ahmed Ibrahim Taloba, Ahmad O. Aseeri, Mohamed Abd Elaziz, Shaker El-Sappagah, Nora Mahmoud El-Rashidy

“…Several data preprocessing techniques are employed to optimize the accuracy of the proposed work, including data encoding, data cleaning, data scaling, data skewing transformation, data balancing, and feature selection. The choices of single model ML are logistic regression (LR), K-nearest neighbors (KNN), decision tree (DT), linear discriminant analysis (LDA), and multilayer perceptron (MLP). …”
Get full text

Optimization of Filter Considering Harmonic Resonance in the Distribution Network by XIA Xiangyang, XU Linju, LUO Shiwu

“…Through analysis of node admittance matrix feature values for the distribution network, the resonant position and resonant frequency are detected according to the impedance spectrum curves. …”
Get full text

ANALYSIS OF MULTIDIMENSIONAL MEDICAL DATA USING PICTOGRAPHICS «CHERNOFF FACES» by I. A. Osadchaya, O. G. Berestneva, Ye. V. Nemerov

Get full text

Sample selection using multi-task autoencoders in federated learning with non-IID data by Emre Ardıç, Yakup Genç

“…To overcome these issues, we propose novel sample selection methods for image classification, employing a multi-task autoencoder to estimate sample contributions through loss and feature analysis. Our approach incorporates unsupervised outlier detection, using one-class support vector machine (OCSVM), isolation forest (IF), and adaptive loss threshold (AT) methods managed by a central server to filter noisy samples on clients. …”
Get full text

BESS-Set: A Dataset for Cybersecurity Monitoring in a Battery Energy Storage System by Giovanni Battista Gaggero, Alessandro Armellin, Giulio Ferro, Michela Robba, Paola Girdinio, Mario Marchese

Get full text

Significance of Machine Learning-Driven Algorithms for Effective Discrimination of DDoS Traffic Within IoT Systems by Mohammed N. Alenezi

“…In this paper, the effectiveness of supervised machine learning (ML) classification and deep learning (DL) algorithms in detecting DDoS attacks on IoT networks was investigated by conducting an extensive analysis of network traffic dataset (legitimate and malicious). …”
Get full text

Masked and unmasked Face Recognition Model Using Deep Learning Techniques. A case of Black Race. by Mabiriz,I, Vicent, Ampaire, Ray Brooks, Muhoza, B. Gloria

“…Machine learning techniques such as Principal Component Analysis, Geometric Feature-Based Methods, and double threshold techniques were used in the development phase while results were classified using CNN pre-trained models. …”
Get full text

Machine learning for Internet of Things (IoT) device identification: a comparative study by Hamid Tahaei, Anqi Liu, Hamid Forooghikian, Mehdi Gheisari, Faiz Zaki, Nor Badrul Anuar, Zhaoxi Fang, Longjun Huang

Get full text

Comparative analysis of Hymenasplenium (Aspleniaceae) chloroplast genomes from China by Yanfen Chang, Zhixin Wang, Guocheng Zhang, Na Wang, Limin Cao

Get full text

Morphometric Analysis of Subaxial Cervical Vertebra Pedicles in the Turkish Population by Hande Nur Taşdemir Batir, Hatice Güler, Burcu Kamaşak Arpaçay, İzzet Ökçesiz, Halil Dönmez, Güven Kahriman

Get full text

Fluorescence sensor array for highly sensitive pattern recognition of biothiols in food based on tricolor upconversion luminescence metal-organic frameworks by Mingyuan Yin, Dongfang Qiu, Meiqi Wang, Zedan Wang, Lirong Han, Linsen Li, Jie Tong, Hailiang Nie, Yun Wu, Xiaoqiang Qiao

“…Such fluorescence sensor array might provide a simple and efficient detection method for biothiols.…”
Get full text

A Framework for Data‒Driven Fault Diagnosis of Numerical Spacecraft Propulsion Systems by Kazushi Adachi, Samir Khan, Shinichi Nakasuka, Kohji Tominaga, Seiji Tsutsumi, Yu Daimon, Taiichi Nagata

Get full text

An Analysis of Mathematics Education Quality: Case Study of Adiyaman University by Suat Aşkın, Murat Ayan

“…During the prescreening, 84 survey forms belonging to the included working group were detected not to have been filled correctly and not included in the analysis stage. …”
Get full text