Hand Washing Gesture Recognition Using Synthetic Dataset by Rüstem Özakar, Eyüp Gedikli

“…Using this dataset, four neural network models, Inception-V3, Yolo-8n, Yolo-8n segmentation and PointNet, were trained for gesture classification. The models were subsequently evaluated on a large real-world hand washing dataset, demonstrating successful classification accuracies of 56.9% for Inception-V3, 76.3% for Yolo-8n and 79.3% for Yolo-8n segmentation. …”
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Similarity evaluation of rocket time series data based on radian features by Zeng Teng, Xu Haizhou, Li Linfeng, Zhou Gan, Meng Linggang

“…The proposed algorithm was applied to time series classification task and achieved a classification accuracy improvement of over 26.04% on nine datasets with similar features of rocket data,which proved its effectiveness.…”
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Identification of sustainable development statements social component objects by T.V. Baranovska, A.P. Dykyi, O.M. Baryshnikova

“…The article deals with the issue of sustainable development statements social component. …”
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Migrações e Estratégias de Desenvolvimento dos Pequenos Estados Insulares em Desenvolvimento. Estudos de caso: Cabo Verde e São Tomé e Príncipe by Manuela Cardoso

“…This paper discusses the issue of emigration in Small Island Developing States (SIDS) through the analysis of two case studies, Cape Verde and São Tomé and Príncipe, with similar paths in terms of independence and formal political processes but with considerably different levels of development. …”
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Analyzing the Impact of Binaural Beats on Anxiety Levels by a New Method Based on Denoised Harmonic Subtraction and Transient Temporal Feature Extraction by Devika Rankhambe, Bharati Sanjay Ainapure, Bhargav Appasani, Avireni Srinivasulu, Nicu Bizon

“…Anxiety is a widespread mental health issue, and binaural beats have been explored as a potential non-invasive treatment. …”
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Developing Innovative Feature Extraction Techniques from the Emotion Recognition Field on Motor Imagery Using Brain–Computer Interface EEG Signals by Amr F. Mohamed, Vacius Jusas

“…To address the low accuracy of MI-BCI, which is a key issue faced by researchers, this study employs a new approach that has been proven to have the potential to enhance motor imagery classification accuracy. …”
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Generating Synthetic Malware Samples Using Generative AI by Tiffany Bao, Kylie Trousil, Quang Duy Tran, Fabio Di Troia, Younghee Park

“…This enhancement ultimately leads to an overall malware classification performance of 96%, an 8% improvement. …”
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Opioid Crisis Detection in Social Media Discourse Using Deep Learning Approach by Muhammad Ahmad, Grigori Sidorov, Maaz Amjad, Iqra Ameer, Ildar Batyrshin

“…The findings show that our proposed methodology achieved the highest cross-validation score of 93% for binary classification and 91% for multi-class classification, demonstrating performance improvements of 9.41% and 10.98%, respectively, over the baseline model (XGB, 85% in binary class and 81% in multi-class).…”
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An illustration of multi-class roc analysis for predicting internet addiction among university students. by Nishat Tasnim Thity, Atikur Rahman, Adisha Dulmini, Mst Nilufar Yasmin, Rumana Rois

“…Internet addiction (IA) has become a serious public health issue worldwide. This multi-class classification study aimed to identify the potential predictors of IA by four severity levels among university students in Bangladesh. …”
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Explainable Model of Fusion Network With Enhanced Optimization Approach for Tuberculosis Diagnosis by C. R. Dhivyaa, K. Nithya, C. Sathiya Kumar, R. Sudhakar

“…Although advancements in healthcare have improved detection of various diseases, TB remains a global health issue, especially in developing regions. Efficient TB diagnostics can be achieved through the deep-learning-based image classification techniques. …”
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A Multi-Scale Feature Fusion Hybrid Convolution Attention Model for Birdsong Recognition by Lianglian Gu, Guangzhi Di, Danju Lv, Yan Zhang, Yueyun Yu, Wei Li, Ziqian Wang

“…Although feature extraction has demonstrated satisfactory performance in classification, single-scale feature extraction methods may not fully capture the complexity of birdsong, potentially leading to suboptimal classification outcomes. …”
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Motion Cognitive Decoding of Cross-Subject Motor Imagery Guided on Different Visual Stimulus Materials by Tian-jian Luo, Jing Li, Rui Li, Xiang Zhang, Shen-rui Wu, Hua Peng

“…To compare subject-specific variations of different visual stimuli, a novel cross-subject MI-EEG classification method was proposed for the three visual stimuli. …”
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Automated Cervical Cancer Screening Using Single-Cell Segmentation and Deep Learning: Enhanced Performance with Liquid-Based Cytology by Mariangel Rodríguez, Claudio Córdova, Isabel Benjumeda, Sebastián San Martín

“…Cervical cancer (CC) remains a significant health issue, especially in low- and middle-income countries (LMICs). …”
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Ultrafast Time-Stretch Optical Coherence Tomography Using Reservoir Computing for Fourier-Free Signal Processing by Weiqing Liao, Tianxiang Luan, Yuanli Yue, Chao Wang

“…With an A-scan rate of 50 MHz, the classification model yielded 100% accuracy with a root mean square error (RMSE) of 0.2416. …”
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Assessing the Role of EEG Biosignal Preprocessing to Enhance Multiscale Fuzzy Entropy in Alzheimer’s Disease Detection by Pasquale Arpaia, Maria Cacciapuoti, Andrea Cataldo, Sabatina Criscuolo, Egidio De Benedetto, Antonio Masciullo, Marisa Pesola, Raissa Schiavoni

“…Performance metrics, such as classification accuracy and Matthews Correlation Coefficient (MCC), are employed to assess the results. …”
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Neurological polymorphism of systemic lupus erythematosus by A. A. Garmanova, A. M. Morozov, Yu. E. Minakova, M. A. Belyak

“…A study was made of materials from foreign and domestic literature of recent years on the issue of classification, pathogenetic and symptomatic problems of the neurological manifestation of systemic lupus erythematosus. …”
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DRCO: Dense-Label Refinement and Cross Optimization for Semi-Supervised Object Detection by Yunlong Qin, Yanjun Li, Feifan Ji, Yan Liu, Yu Wang, Ji Xiang

“…For the inconsistency between classification scores and localization quality, Comprehensive FRS (cFRS) is proposed to jointly optimize the classification and localization branches more efficiently, thereby obtaining a more comprehensive score. …”
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Long-term water quality assessment and trophic status trends in Dobromierz, Lubachów and Sosnówka drinking water reservoirs in southwestern Poland by Magdalena Szewczyk, Paweł Tomczyk, Mirosław Wiatkowski

“…According to the new classification, the average water quality was in classes I or II. …”
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A Machine Learning Approach for Differential Diagnosis of Vascular and Non-Vascular Intracranial Hemorrhage in Non-Contrast CT Images by Sahar Faraji, Bita Abbasi, Amin Amiri Tehranizadeh, Zeinab Naseri, Lida Jarahi, Fatemeh Khojasteh Rahimi, shahrokh Nasseri, Azadeh Hashemi

“…However, when it comes to classification sensitivity and accuracy, the Logistic Regression approach outperformed the others.…”
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Subtypes detection of papillary thyroid cancer from methylation assay via Deep Neural Network by Andrea Colacino, Andrea Soricelli, Michele Ceccarelli, Ornella Affinito, Monica Franzese

“…Background and Objective: In recent years, DNA methylation-tumor classification based on artificial intelligence algorithms has led to a notable improvement in diagnostic accuracy compared to traditional machine learning methods. …”
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