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  1. 10561

    Potential for Vertical Heterogeneity Prediction in Reservoir Basing on Machine Learning Methods by Hongqing Song, Shuyi Du, Ruifei Wang, Jiulong Wang, Yuhe Wang, Chenji Wei, Qipeng Liu

    Published 2020-01-01
    “…Machine learning models were established through deep neural networks, which learn and capture the characteristics better between dynamic production data and reservoir heterogeneity, so as to invert the vertical permeability. …”
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  2. 10562

    ViT-DualAtt: An efficient pornographic image classification method based on Vision Transformer with dual attention by Zengyu Cai, Liusen Xu, Jianwei Zhang, Yuan Feng, Liang Zhu, Fangmei Liu

    Published 2024-12-01
    “…The model adopts a CNN-Transformer hierarchical structure, combining the strengths of Convolutional Neural Networks (CNNs) and Transformers to effectively capture and integrate both local and global features, thereby enhancing feature representation accuracy and diversity. …”
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  3. 10563

    On a data-driven mathematical model for prostate cancer bone metastasis by Zholaman Bektemessov, Laurence Cherfils, Cyrille Allery, Julien Berger, Elisa Serafini, Eleonora Dondossola, Stefano Casarin

    Published 2024-12-01
    “…Our findings align well with experimental evidence, demonstrating that our model effectively captures the therapeutic potential of $ ^{223} $Ra, yielding promising results that support our model as a powerful infrastructure to optimize bone metastasis treatment.…”
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  4. 10564

    Unsupervised Hyperspectral Denoising Based on Deep Image Prior and Least Favorable Distribution by Keivan Faghih Niresi, Chong-Yung Chi

    Published 2022-01-01
    “…Lately, it has been reported that the convolutional neural network (CNN), the core element used by deep image prior (DIP), is able to capture image statistical characteristics without the need of training, i.e., restore the clean image blindly. …”
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  5. 10565

    Comparative Analysis of Pre-trained based CNN-RNN Deep Learning Models on Anomaly-5 Dataset for Action Recognition by Fayaz Ahmed Memon, Umair Ali Khan, Pardeep Kumar, Imtiaz Ali Halepoto, Farida Memon

    Published 2024-10-01
    “…The CNN-RNN architectures we considered for analysis in this paper, the ResNet152V2 based CNN-RNN model exhibits better performance and achieved highest accuracy, precision, recall and F1-score equal to 92.20% due to its ability to capture more complex spatial features. This comparative analysis may guide the researchers in selecting appropriate models for real-world applications for action recognition. …”
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  6. 10566

    Pulmonary Embolism and Intracardiac Type A Thrombus with an Unexpected Outcome by João Português, Lucy Calvo, Margarida Oliveira, Vítor Hugo Pereira, Joana Guardado, Mário Rui Lourenço, Olga Azevedo, Francisco Ferreira, Filipa Canário-Almeida, António Lourenço

    Published 2017-01-01
    “…Type A thrombi are serpiginous and highly mobile and are thought to be originated from large veins and captured in-transit within the right heart. Optimal management of RHT is still uncertain. …”
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    Article
  7. 10567

    The unseen perils of oral-care products generated micro/nanoplastics on human health by Utsa Saha, Snehasmita Jena, Faizan Zarreen Simnani, Dibyangshee Singh, Anmol Choudhury, Shaikh Sheeran Naser, Sudakshya S. Lenka, Apoorv Kirti, Aditya Nandi, Adrija Sinha, Swadheena Patro, Małgorzata Kujawska, Mrutyunjay Suar, Nagendra Kumar Kaushik, Aishee Ghosh, Suresh K. Verma

    Published 2025-01-01
    “…Particles from sources like toothpaste, toothbrushes, orthodontic implants, and denture materials are generated through mechanical friction, pH changes, and thermal fluctuations. …”
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    Article
  8. 10568

    Unraveling Power Consumption Pattern Using Multidimensional Scaling and Clustering Analysis by Utkarsh Misra, Gyana Ranjan Sahoo, Shikhar Prakash, Madhur Srivastava

    Published 2025-01-01
    “…With the rapid growth in electricity demand data and the integration of distributed energy resources, traditional methods struggle to capture zonal load patterns effectively. This study presents a dimensionality reduction approach combined with clustering to analyze seasonal energy load dynamics across zones managed by the New York Independent System Operator (NYISO). …”
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  9. 10569

    Unmanned Aerial Vehicles for Real-Time Vegetation Monitoring in Antarctica: A Review by Kaelan Lockhart, Juan Sandino, Narmilan Amarasingam, Richard Hann, Barbara Bollard, Felipe Gonzalez

    Published 2025-01-01
    “…Despite the potential of established Machine-Learning (ML) classifiers such as Random Forest, K Nearest Neighbour, and Support Vector Machine, and gradient boosting in the semantic segmentation of UAV-captured images, there is a notable scarcity of research employing Deep Learning (DL) models in these extreme environments. …”
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  10. 10570

    Remote Sensing of Aboveground Biomass in Tropical Secondary Forests: A Review by J. M. Barbosa, E. N. Broadbent, M. D. Bitencourt

    Published 2014-01-01
    “…Tropical landscapes are, in general, a mosaic of pasture, agriculture, and forest undergoing various stages of succession. …”
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  11. 10571
  12. 10572

    Analyzing the effects of Khorramabad - Zal bridge highway construction on rural development Eastern Miankoh villages by Mehrshad tolabinejad, Hossein farahani

    Published 2015-06-01
    “…The amount of demolition of water resources such as springs and water channeling have been increased in the rural boundary. and also pastures‚ forests and fertile lands have been allocated to the building constructions and forming dimension with amount of (0/058) has the least overall effect on the rural stable development in the boundary of studying area.…”
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  13. 10573

    Construction and Analysis of Emotion Computing Model Based on LSTM by Huiping Jiang, Rui Jiao, Zequn Wang, Ting Zhang, Licheng Wu

    Published 2021-01-01
    “…The electroencephalogram (EEG) is the most common method used to study emotions and capture electrical brain activity changes. Long short-term memory (LSTM) processes the temporal characteristics of data and is mostly used for emotional text and speech recognition. …”
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  14. 10574

    APT Adversarial Defence Mechanism for Industrial IoT Enabled Cyber-Physical System by Safdar Hussain Javed, Maaz Bin Ahmad, Muhammad Asif, Waseem Akram, Khalid Mahmood, Ashok Kumar Das, Sachin Shetty

    Published 2023-01-01
    “…To overcome these issues, a new approach is suggested that is based on the Graph Attention Network (GAN), a multi-dimensional algorithm that captures behavioral features along with the relevant information that other methods do not deliver. …”
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  15. 10575

    Develop an emotion recognition system using jointly connectivity between electroencephalogram and electrocardiogram signals by Javid Farhadi Sedehi, Nader Jafarnia Dabanloo, Keivan Maghooli, Ali Sheikhani

    Published 2025-01-01
    “…We propose a novel method of estimating effective connectivity (EC) to capture the dynamic interplay between the heart and brain during emotions of happiness, disgust, fear, and sadness. …”
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  16. 10576

    Characterizing Patients with Unilateral Vestibular Hypofunction Using Kinematic Variability and Local Dynamic Stability during Treadmill Walking by Peng Liu, Qiuhong Huang, Yongkang Ou, Ling Chen, Rong Song, Yiqing Zheng

    Published 2017-01-01
    “…Thirty-four markers were attached to anatomical positions of each participant, and a three-dimensional (3D) motion analysis system was used to capture marker coordinates as the participants walked on a treadmill. …”
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  17. 10577

    Remote-sensing-based forest canopy height mapping: some models are useful, but might they provide us with even more insights when combined? by N. Besic, N. Picard, C. Vega, J.-D. Bontemps, L. Hertzog, J.-P. Renaud, J.-P. Renaud, F. Fogel, M. Schwartz, A. Pellissier-Tanon, G. Destouet, F. Mortier, F. Mortier, M. Planells-Rodriguez, P. Ciais

    Published 2025-01-01
    “…Finally, we observed that the fitted higher-order mixtures, which enabled the presented analyses, do not necessarily reduce bias or prevent the saturation of the predicted heights observed in the individual models.…”
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  18. 10578
  19. 10579

    Effects of dietary processed former foodstuffs on slaughter performance and meat quality in broilers by Karthika Srikanthithasan, Marta Gariglio, Elena Diaz Vicuna, Margherita Profiti, Andrea Giorgino, Edoardo Fiorilla, Marta Castrica, Dino Miraglia, Sihem Dabbou, Flavia Gasperi, Ana Cristina Barroeta Lajusticia, Iolanda Altomonte, Rosalba Roccatello, Achille Schiavone, Claudio Forte

    Published 2025-12-01
    “…The fatty acid (FA) content of breast and thigh meat showed a linear increase in monounsaturated FA, with thigh meat also exhibiting a linear increase in saturated FA (SFA). Conversely, polyunsaturated FA (PUFA) and the PUFA to SFA ratio decreased with increasing cFF levels (p < .05). …”
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  20. 10580