FEATURES MOVEMENTS JOINT HEADS OF THE MANDIBLE IN YOUNG INDIVIDUALS WITHOUT CLINICAL SIGNS OF TEMPOROMANDIBULAR DISORDERS AND MANDIBULAR OCCLUSAL DISORDERS by V. F. Makeev, Y. O, Kinash, Y. O. Rybert

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Crystallographic and Orientation Features of Nanocrystals in Thin Film Condensates PbTe-Bi2Te3 on Glass Ceramics by Ya.P. Saliy, D.M. Freik, І.S. Bylina, M.O. Galushchak

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The clinical and molecular features of three Turkish patients with a rare genetic disorder: 2q37 deletion syndrome by Semra Gürsoy, Yaşar Bekir Kutbay, Taha Reşid Özdemir, Filiz Hazan

“…However, all of the patients had intellectual disability, especially with a cheerful mood. Some autistic features were detected in one of our patients. Although two patients had some skeletal findings, the deletion region did not contain HDAC4 gene in one of the patients. …”
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Multi-Domain Features and Multi-Task Learning for Steady-State Visual Evoked Potential-Based Brain–Computer Interfaces by Yeou-Jiunn Chen, Shih-Chung Chen, Chung-Min Wu

“…A sequence of convolutional neural networks is then adopted to find discriminative embedding features for classification. Finally, multi-task learning-based neural networks are used to detect the corresponding stimuli correctly. …”
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Signal Distinction Electroencephalograms (EEG) Using a Back Propagation Neural Network Based On Localized Structural Features Extractions by Najlaa Safar

“…The follow up method can be useful in several applications including time-series analysis, signal processing and speech recognition.…”
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Using spatial statistics and point‐pattern simulations to assess the spatial dependency between greater sage‐grouse and anthropogenic features by Jeffrey K. Gillan, Eva K. Strand, Jason W. Karl, Kerry P. Reese, Tamara Laninga

“…Sage‐grouse exhibited no detectable avoidance of major and minor roads. The methods used here are broadly applicable in conservation biology and wildlife management to evaluate spatial relationships between species occurrence and landscape features. …”
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Histological trends and molecular genetic features of non-small cell lung cancer in the Khanty-Mansiysk autonomous district – Ugra by A. A. Mordovskiy, A. A. Aksarin, A. M. Parsadanyan, P. P. Troyan, A. I. Pakhtusov

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Remodelling Features of Heart and Postinfarction Cardiosclerosis Type 2 Diabetes: Relationship to Gene Polymorphisms LEPR Q223R by Stanislavchuk M. A., Al Salim A.

“…Objective. To establish the features of cardiac remodeling in patients with postinfarction cardiosclerosis and type 2 diabetes based on gene polymorphism leptin receptors LEPR Q223R. …”
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External validation of SpineNetV2 on a comprehensive set of radiological features for grading lumbosacral disc pathologies by Alemu Sisay Nigru, MSc, Sergio Benini, PhD, Matteo Bonetti, MD, Graziella Bragaglio, MSc, Michele Frigerio, MD, Federico Maffezzoni, MSc, Riccardo Leonardi, PhD

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Feature Extraction and Classification of Power Quality Disturbances Using Optimized Tunable-Q Wavelet Transform and Incremental Support Vector Machine by Indu Sekhar Samanta, Pravat Kumar Rout, Kunjabihari Swain, Satyasis Mishra, Murthy Cherukuri

“…Lastly, to test and evaluate the performance of the proposed approach, twelve types of PQDs including noise and multiple occurrences are considered. The comparative analysis with other popular methods reflects the better performance of the proposed approach and justifies its use for PQ detection and classification purposes in real-time​ conditions.…”
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Visual Multiple-object Tracking Algorithm Based on Motion Consistency by YANG Hailang, LYU Yu, JIANG Guotao, PI Zhichao, LUO Shuo, CHEN Meilin

“…The visual multiple-object tracking module is a key component of an active onboard obstacle detection system. However, the most of currently used visual multiple-object tracking algorithms rely on offline calculation for object detection, without adequately considering the adverse effect on tracking attributed to the time consuming nature of offline calculation in actual applications. …”
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A Hybrid Model of Feature Extraction and Dimensionality Reduction Using ViT, PCA, and Random Forest for Multi-Classification of Brain Cancer by Hisham Allahem, Sameh Abd El-Ghany, A. A. Abd El-Aziz, Bader Aldughayfiq, Menwa Alshammeri, Malak Alamri

“…ViT was employed for feature extraction, PCA for feature dimension reduction, and RF for brain tumor classification. …”
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Sleep Snoring Sound Recognition Based on Wavelet Packet Transform by Li Ding, Jianxin Peng, Xiaowen Zhang, Lijuan Song

“…The feature selection technology based on correlation analysis is applied to select the most discriminative WPT features. …”
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Surface Electromyography Monitoring of Muscle Changes in Male Basketball Players During Isotonic Training by Ziyang Li, Bowen Zhang, Hong Wang, Mohamed Amin Gouda

“…Subsequently, statistical analysis methods were applied to extract the key sEMG time domain (TD) and frequency domain (FD) features of isotonic contraction that can differentiate between professional and amateur athletes. …”
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Application of Distributed Acoustic Sensing in Anchor Damage Monitoring on Submarine Cables by ZHANG Hong, WU Mingnian, WANG Daogen, MU Zhangjian, XIE Shuhong, WU Zhengming, LI Songlin, CHEN Qingqing

“…Subsequently, morphological feature curves are computed for profiles at equally spaced time intervals, enabling identification of anchor intrusion events through intensity and temporal distribution analysis of these curves.…”
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Histogram of Polarization Gradient for Target Tracking in Infrared DoFP Polarization Thermal Imaging by Jianguo Yang, Dian Sheng, Weiqi Jin, Li Li

“…Finally, the gradient and DoLP sign information are ingeniously integrated to enhance the capability of directional expression, thus providing a new theoretical perspective for polarization mosaic image structure analysis. The experimental results obtained using a self-developed long-wave infrared DoFP polarization thermal imaging system demonstrate that, within the same FBACF tracking framework, the proposed HPG feature descriptor significantly outperforms traditional grayscale {8.22%, 2.93%}, histogram of oriented gradient (HOG) {5.86%, 2.41%}, and mosaic gradient histogram (MGH) {27.19%, 18.11%} feature descriptors in terms of precision and success rate. …”
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False traffic information detection based on weak classifiers integration in vehicular ad hoc networks by Xiang-wen LIU, Ya-li SHI, ENGXia F

“…Vehicles report traffic information mutually by self-organized manner in vehicular ad hoc networks (VANET),and the message need to be identified in the open network environment.However,it is very difficult for fast moving ve-hicles to detect a lot of traffic alert information in a short time.To solve this problem,a false traffic message detection method was presented based on weak classifiers integration.Firstly,the effective features of traffic alert information was extended and segmentation rules were designed to divide the information feature set into multiple feature subsets,then the corresponding weak classifiers were used to process feature subsets respectively according to the different character-istics of the subsets' features.Simulation experiments and performance analysis show that the selected weak classifiers integration method reduces the detection time,and because of the application of combined features,the detection rate is better than the test of using only some of the characteristics.…”
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The Neural Frontier of Future Medical Imaging: A Review of Deep Learning for Brain Tumor Detection by Tarek Berghout

“…By analyzing over 100 research papers over past half-decade (2019–2024), this review fills that gap, exploring the latest methods and paradigms, summarizing key concepts, challenges, datasets, and offering insights into future directions for brain tumor detection using deep learning. This review also incorporates an analysis of previous reviews and targets three main aspects: feature extraction, segmentation, and classification. …”
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Resilience of Machine Learning Models in Anxiety Detection: Assessing the Impact of Gaussian Noise on Wearable Sensors by Abdulrahman Alkurdi, Jean Clore, Richard Sowers, Elizabeth T. Hsiao-Wecksler, Manuel E. Hernandez

“…The effectiveness of feature-based and end-to-end machine learning models for anxiety detection was evaluated under varying conditions of Gaussian noise. …”
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Robust and Lightweight Modeling of IoT Network Behaviors From Raw Traffic Packets by Aleksandar Pasquini, Rajesh Vasa, Irini Logothetis, Hassan Habibi Gharakheili, Alexander Chambers, Minh Tran

“…Recent studies show that neural network-based traffic analysis can achieve performance comparable to human feature-engineered ML pipelines. …”
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