Adaptive Robust Low-Beam Feature Point Detection Algorithm Based on Convex Hull by Qiqi Shen, Jie Wu

“…It is designed to be applicable to the detection of feature points in “two-segment,” “three-segment,” and “five-segment” low-beam light patterns. …”
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Improved cloud tracking method tolerant to streaky features: application to Venusian cloud images by Yusuke Nara, Takeshi Imamura

“…Abstract An improved cloud tracking method applicable to cloud images dominated by streaky features was developed and applied to Venusian ultraviolet images. …”
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Pine Wilt Disease Monitoring Using Multimodal Remote Sensing Data and Feature Classification by Xin Ye, Hanwen Yu, Yan Yan, Tieming Liu, Yan Zhang, Taoli Yang

“…Statistical analysis of SAR-derived moisture content reveals significant differences in moisture variation patterns between diseased and healthy trees, enhancing the interpretability of the input features for the neural network. …”
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Blackberry Growth Monitoring and Feature Quantification with Unmanned Aerial Vehicle (UAV) Remote Sensing by Akwasi Tagoe, Alexander Silva, Cengiz Koparan, Aurelie Poncet, Dongyi Wang, Donald Johnson, Margaret Worthington

“…Additionally, distinct temporal flowering patterns were observed between primocane- and floricane fruiting blackberries. …”
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PERSONAL FEATURES OF CHILDREN AND ADOLESCENTS ILL WITH RESPIRATORY TUBERCULOSIS EXPOSED AND NOT EXPOSED TO THE SOURCE OF INFECTION by N. V. Zolotova, A. A. Akhtyamova, V. V. Streltsov, G. V. Baranova, E. S. Ovsyankina, N. V. Yukhimenko

“…Children exposed to tuberculosis in their families were characterized by judging didactive position towards their neighbors which was formed by dysfunctional patterns of relations in their parental families. Adolescent with unidentified exposure manifested the contrast combination of pre-morbid personal attitudes which had certain etiologic contribution to the development of borderline neurotic states. …”
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Sex differences in features of atherosclerotic plaques as revealed by various imaging techniques: historical review by Dalya Laban, Alice Kattan, Lamia Ait-Abdellah, Hema Krishna, Hema Krishna, Elizabeth Le Master, Irena Levitan

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Application Framework and Optimal Features for UAV-Based Earthquake-Induced Structural Displacement Monitoring by Ruipu Ji, Shokrullah Sorosh, Eric Lo, Tanner J. Norton, John W. Driscoll, Falko Kuester, Andre R. Barbosa, Barbara G. Simpson, Tara C. Hutchinson

“…A feature point tracking-based algorithm for square checkerboard patterns and a Hough Transform-based algorithm for concentric circular patterns are developed to ensure reliable detection and tracking of image features. …”
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Modelling effective soil depth at field scale from soil sensors and geomorphometric indices by Mauricio Castro Franco, Marisa Domenech, José Luis Costa, Virginia Carolina Aparicio

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Neural representation of sensorimotor features in language-motor areas during auditory and visual perception by Yuanyi Zheng, Jianfeng Zhang, Yang Yang, Min Xu

“…These findings underscore the dual encoding capacities of language-motor areas, revealing both shared and distinct neural representation patterns across modalities, which may be linked to innate sensory-motor mechanisms and modality-specific processing demands. …”
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Early Prediction of Battery Lifetime Using Centered Isotonic Regression with Quantile-Transformed Features by Muhammad Arslan Khan, Yixing Wang, Benben Jiang

“…The rapid development of lithium-ion (Li-ion) batteries has raised requirements for cycle life prediction to ensure safety and reliability. …”
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New Appliance Signatures for NILM Based on Mono-Fractal Features and Multi-Fractal Formalism by Anam Mughees, Muhammad Kamran, Neelam Mughees, Abdullah Mughees, Krzysztof Ejsmont

“…This research aims to bridge this gap by developing feature extraction and classification techniques specifically for low-power NILM. …”
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Features of Learning Strategies, Barriers and Motivation of Chinese Students in Russian-Speaking Environment and in China by Natalya S. Brem, Elena M. Dubrovskaya

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Development of Professional Competencies in IT-specialists by Anatolii V. Karpov, Aleksandr A. Karpov, Sergei O. Prisyazhnyuk

“…Background. The disclosure of patterns of formation and development of basic competencies of specialists is an essential condition for optimizing the process of professional training and improving the effectiveness of information-related activity in general. …”
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Development of social vocalizations in mice. by Jasmine M S Grimsley, Jessica J M Monaghan, Jeffrey J Wenstrup

“…This study examined patterns in the development of pup isolation vocalizations, and compared these to adult vocalizations. …”
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The interplay between angiogenesis-associated genes and molecular, clinical, and immune features in bladder cancer by Xiaoxiao Guo, Jingxin Yang, Rui Cao, Gangyue Hao

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A Unified Approach to Voice Classification: Leveraging Spectrograms, Mel Spectrograms, and Statistical Features by Muhammad Talha, Huma Ghafoor, Seung Yeob Nam

“…This study presents a multi-input neural network architecture for voice classification that integrates two parallel convolutional neural networks (CNNs) for spectrogram and Mel spectrogram images, along with a fully connected dense network for six handpicked numerical statistical features from time domain signal. The outputs from these branches are flattened and merged, enabling the model to learn complementary patterns from both visual and numerical modalities. …”
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Features of the Reinforcement–Soil Interfacial Effect in Fiber-Reinforced Soil Based on Pullout Tests by Dingkan Xiao, Jun Zhang, Wei Xu, Jiang Wang, Nianyuan Qiu, Juan Wu, Huiyan Ling, Bo Qu, Zhihua Yao

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ADHD detection from EEG signals using GCN based on multi-domain features by Ling Li, Xueyang Guo, Zihan Yang, Yanping Zhao, Xu Liu, Junxian Yang, Yanyan Chen, Xinxian Peng, Lina Han

“…Finally, a GCN model integrates these time-frequency features with topological patterns from the connectivity matrix for ADHD classification.ResultsEvaluated on two EEG datasets, the proposed method achieved average accuracies of 97.29% and 96.67%, outperforming comparative models (XGBoost, LightGBM, AdaBoost, random forest). …”
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Identification of exosome-related genes associated with prognosis and immune infiltration features in pancreatic cancer by Jie Wang, Ming Qing, Jie Gui, Pingyong Zhong, Hao Hua

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Reinforcement Learning With Deep Features: A Dynamic Approach for Intrusion Detection in IoT Networks by Mohamad Khayat, Ezedin Barka, Mohamed Adel Serhani, Farag Sallabi, Khaled Shuaib, Heba M. Khater

“…Then, domain-specific features related to network traffic patterns, including packet size distribution, packet count, and packet rate, were extracted. …”
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