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221
Features of the Clinical Course and Prognosis of Severe Traumatic Brain Injury Outcomes
Published 2020-01-01“…To determine the clinical course features and prognosis of treatment outcomes in patients with various types of traumatic brain damage.MATERIAL AND METHODS. …”
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222
Plantar pressure classification and feature extraction based on multiple fusion algorithms
Published 2025-04-01“…Classification discriminant functions were developed using linear discriminant analysis. Analysis of variance compared the differences in features between various plantar pressure distribution patterns. …”
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223
High-Dimensional Projected Clustering for Learner Competency Analysis in Medical Training Programs
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224
Clustering of precipitation features by a new validity index over Iran
Published 2025-06-01“…Study focus: Clustering is an effective approach for climate zoning that identifies areas with similar climatic patterns. This study clusters precipitation data over Iran to identify meaningful regional patterns based on six features, including extreme indices (Rx1day, SDII, R95p, R99p, R10) and monthly average precipitation (Pmon) during 2001–2020. …”
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225
Inferring internal states across mice and monkeys using facial features
Published 2025-06-01“…Furthermore, each state corresponds to a characteristic pattern of facial features that partially overlaps between species, highlighting the importance of facial expressions as manifestations of internal cognitive states across species.…”
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226
Investigating pathological features of myocarditis-related sudden cardiac deaths in Egypt
Published 2025-05-01“…The scarcity of autopsy data has led to this study, which analyzed the histopathological features of myocarditis-related deaths referred to the Egyptian Forensic Medicine Authority. …”
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227
Features of the Effect of Cataracts and Glaucoma on the Daily Activities of Patients with Sarcopenic Obesity
Published 2024-12-01“…In particular, restrictions on threading a needle in patients with cataracts and sarcopenic obesity have 1.84 ± 0.03 points, which is significantly higher than in patients with glaucoma and sarcopenic obesity (p < 0.01). A similar pattern has been established for nail clipping, the limits for which are 1.75 ± 0.03 points and 1.43 ± 0.04 points, respectively. …”
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228
Encrypted traffic identification scheme based on sliding window and randomness features
Published 2024-08-01“…Specifically, the scheme involved sampling the payloads of data packets in sessions using a sliding window mechanism to obtain data block sequences that reflect the information patterns of the original traffic. For each data block, randomness measurement algorithms were utilized to extract sample features and construct randomness features for the original payload. …”
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229
LANGUAGE SPACE OF NEURAL NETWORKS: FEATURES AND DIFFERENCES FROM NATURAL LANGUAGE
Published 2024-12-01“…These features include attachment to keywords in the task, potential loss of the main idea, inconsistency with required style, repetition of similar ideas, lack of specific facts or personal experiences, and limitations in vocabulary, linguistic patterns, and grammatical structures. …”
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230
Keywords, morpheme parsing and syntactic trees: features for text complexity assessment
Published 2024-06-01“…Early approaches relied on easily calculable quantities, such as the average length of a sentence or the average number of syllables per word. With the development of natural language processing algorithms, the space of used features is expanding. …”
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231
Crystallization behavior and morphological features of ethylene-vinyl alcohol 44 copolymer
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232
Clinical features and outcomes of Rhegmatogenous Retinal Detachments in Acute Retinal Necrosis
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233
Pearson Autocovariance Distinct Patterns and Attention-Based Deep Learning for Wind Power Prediction
Published 2022-01-01“…Hence, timely wind power prediction is perceived as an extensive contribution to well-grounded wind power prediction with complex patterns. In addition, a number of wind power prediction methods have been developed. …”
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234
IMPLEMENTATION AND COMPARISON IN USING STATE PATTERN ON MAIN CHARACTER MOVEMENT (CASE STUDY : POCONG JUMP VIDEO GAME VERSION 1.0)
Published 2023-06-01“…By implementing a design pattern, the process of developing video games can be made easier and simplified. …”
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235
SP-GEM: Spatial Pattern-Aware Graph Embedding for Matching Multisource Road Networks
Published 2025-07-01“…Recent development of graph neural networks (GNNs) has demonstrated unsupervised modeling power on road network data, which learn the embedded vector representation of road networks through spatial feature induction and topology-based neighbor aggregation. …”
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236
Pattern recognition method for the identification of Daiqu large yellow croaker based on computer vision
Published 2018-07-01“…A pattern recognition method based on computer vision was developed for the identification of Daiqu large yellow croaker. …”
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237
Exploration on the Visual Design of Decorative Patterns in Tang Dynasty: Take the Demale Bag as an Example
Published 2025-04-01“…As the inheritance carrier of incense culture, incense ware is the elegant supporter of the ancients. Its feature of distinctive decorative pattern is the typical representative of the aesthetic development of the Chinese nation. …”
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238
Linear pattern detection of building groups by integrating dynamic snake convolution with YOLO11
Published 2025-12-01“…This paper introduces the YOLO11 object detection model to achieve the detection of building groups with linear patterns by integrating the dynamic snake convolution (DSC) which is used to enhance the feature extraction capability. …”
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239
Assessing data and sample complexity in unmanned aerial vehicle imagery for agricultural pattern classification
Published 2025-03-01“…The study investigates the data and sample complexity required to develop an effective machine/deep learning (ML/DL) model, using techniques such as the Jeffries-Matusita Distance for assessment of class separability and feature importance ranking for feature and layer selection, semivariogram analysis for determining minimum sample patch sizes.The results demonstrate distinct classification capabilities based on spectral information in differentiating between sub-classes such as weed infestation, bare soil, disturbed canopy areas, and undisturbed canopy areas. …”
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240
Optimized Energy Consumption of Electric Vehicles with Driving Pattern Recognition for Real Driving Scenarios
Published 2025-04-01“…In the approach, first, labels are defined based on statistical features related to speed followed by the creation of representative driving patterns (RDPs). …”
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