Showing 641 - 660 results of 2,894 for search '(feature OR features) development (pattern OR patterns)', query time: 0.28s Refine Results
  1. 641
  2. 642

    Application of Machine Learning Techniques for Bearing Fault Diagnosis by Sarra Eddai, Nabih Feki, Ahmed Ghorbel, Abdelkhalak El Hami, Mohamed Haddar

    Published 2025-10-01
    “…The methodology employed encompasses a systematic approach, including data preprocessing, feature extraction, and model development. This research employs advanced machine learning techniques, including Support Vector Machine (SVM), K-Nearest Neighbors (KNN), Decision Tree, and Naive Bayes algorithms, in conjunction with time-domain and frequency-domain feature extraction methods. …”
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  3. 643
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    Machine learning approach for 2D abrasion mapping in Sediment Bypass Tunnels: a case study of Koshibu SBT, Japan by Ahmed Emara, Sameh A. Kantoush, Mohamed Saber, Tetsuya Sumi, Vahid Nourani, Emad Mabrouk

    Published 2025-12-01
    “…The controlling factors for abrasion were developed based on geometric and hydraulic features. …”
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  5. 645
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    Expression analysis of glutathione S-transferase genes in Lasioderma serricorne (Coleoptera: Anobiidae) subjected to CO<sub>2</sub>-enriched atmosphere by XU Kangkang, DING Tianbo, YAN Yi, LI Can, YANG Wenjia

    Published 2017-09-01
    “…Temporal expression profile revealed that all the three GSTs genes were constitutively expressed in the testing stages, exhibited similar developmental expression patterns, with the highest expression level measured in the early larval stage. …”
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  7. 647
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    Ecologically Safe Directions of the Low Rank Coal Bioconversion by Chernysh Y., Plyatsuk L., Ablieieva I., Yakhnenko E., Roubik H., Miakaieva H., Bataltsev E., Danilov D.

    Published 2019-07-01
    “…This paper deals with theoretical research of the biochemical features of low rank coals (LRC) treatment. The biochemical bases of the organic component degradation of LRC and the biochemical principles of bioleaching of sulfur compounds and metals from LRC are presented. …”
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  9. 649

    EXPERIENCE IN PRESERVING THE GENETIC DIVERSITY OF STONE FRUITS USING THE BORDER HEDGING TECHNOLOGY by G. V. Eremin, T. A. Gasanova, V. G. Eremin, I. S. Chepinoga

    Published 2019-10-01
    “…Among them are biological features of the in situ plant growth habit, including vigor, selection of rootstock or decision on own-root cultivation, layout of the plot, and maintenance system. …”
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  10. 650

    Multi-channel spatio-temporal graph attention contrastive network for brain disease diagnosis by Chaojun Li, Kai Ma, Shengrong Li, Xiangshui Meng, Ran Wang, Daoqiang Zhang, Qi Zhu

    Published 2025-02-01
    “…Specifically, we first construct dynamic brain functional networks from fMRI data with sliding windows, and embed the structural connectivity derived from diffusion tensor imaging (DTI) to the dynamic functional connectivity graph representation to construct multi-modal brain network. Second, we develop a multi-channel spatial attention contrastive network to extract topological features from the brain network within each time window. …”
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  11. 651
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    Evaluating the Effect of Environmental-Physical Factors on the Livability and Quality of Urban Streets (Case Study: Nader and Enghelab Streets in Sari City) by Armin Akhavan, Esmail Salehi, Shirin Toghyani

    Published 2018-09-01
    “…Besides, preserving and improvement of historical attractions and identification of the old fabric of Sari city as the center of the social life , utilization of valuable historical buildings and environments, maintaining and developing public services, open and green urban spaces, allocation of valuable urban environments(pathways and historical open spaces), allocation of pathways in the textures passing through the main historical passages and YAHYA holy shrine area and traditional market, in modern pattern combined with the existing structure of the city will play a significant role in enhancing the vitality and quality of the studied streets. …”
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  13. 653

    Conformal Prediction for Uncertainty Quantification and Reliable HER2 Status Classification in Breast Cancer IHC Images by Surayuth Pintawong, Shanop Shuangshoti, Tikamporn Jitpasutham, Somruethai Shuangshoti, Kulachet Wiwatwarayos, Thananop Kobchaisawat, Thanarat H. Chalidabhongse

    Published 2025-01-01
    “…Using dual in situ hybridization (DISH) results as the gold standard for HER2 status, we developed our system using handcrafted features&#x2014;including color intensity, local binary patterns, and Haralick features&#x2014;combined with tree-based classifiers. …”
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    Impact of High Temperatures on Tourist Flows in Urban and Rural Areas: Climate Adaptation Strategies in China by Man Wei, Tai Huang

    Published 2025-04-01
    “…This reduction altered spatial patterns, shifting from a multicentric distribution to an urban-centered concentration. …”
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  17. 657
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    Community Clustering and Recommendation Toward Elderly Health Records: Probabilistic Representation Learning and Large Graph Search by Huijiong Ding

    Published 2025-01-01
    “…This approach enables more precise, efficient, and personalized healthcare interventions, wherein the key steps include: 1) Geometry-based feature selection from high-dimensional health data-This effectively reduces dimensionality while preserving discriminative health patterns. 2) Probabilistic multi-topic representations of individual health profiles-These latent space embeddings capture complex health-need interactions. 3) Graph-based community detection via shared clinical/behavioral traits-The algorithm identifies natural clusters with medical relevance. 4) Personalized intervention ranking by community relevance-This ensures tailored care plan recommendations for each subgroup. …”
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  19. 659

    Diagnosis of depression based on facial multimodal data by Nani Jin, Renjia Ye, Peng Li

    Published 2025-01-01
    “…Through the multi-modal feature fusion, the model can effectively capture different feature patterns related to depression.ResultsWe conduct extensive experiments on the publicly available clinical dataset, the Extended Distress Analysis Interview Corpus (E-DAIC). …”
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  20. 660

    Enhancing Emergency Response in Road Accidents: A Severity Prediction Framework Using RF-RFE and Deep Learning Model by Chaimaa Chaoura, Hajar Lazar, Zahi Jarir

    Published 2025-01-01
    “…The dataset is refined using Random Forest Recursive Feature Elimination (RF-RFE) to select key features influencing accident severity. …”
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