Showing 1,301 - 1,320 results of 2,333 for search 'blocking detection', query time: 0.10s Refine Results
  1. 1301

    A Deep Learning Approach for Crop Disease and Pest Classification Using Swin Transformer and Dual-Attention Multi-Scale Fusion Network by R. Karthik, Armaano Ajay, Akshaj Singh Bisht, T. Illakiya, K. Suganthi

    Published 2024-01-01
    “…The Dual-Attention Multi-scale Fusion Network (DAMFN) track extracts local features using two specialised blocks: Multi-Separable Attention (MSA) and Tri Shuffle Convolution Attention (TSCA) blocks. …”
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  2. 1302
  3. 1303

    An Algorithm for Data Hiding in Binary Images by Eman Sedeek Al-obaidy

    Published 2008-12-01
    “…In this algorithm the pixels which can be flipped without introducing noticeable artifacts are identified at first by using some rules that examine the neighbors of the central pixels in each non-uniform block and then this central pixel only is changed in the block which matches these rules and this property allows easy detection of the embedded data without referring to the original   image. …”
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  4. 1304
  5. 1305

    Computer-aided assessment for enlarged fetal heart with deep learning model by Siti Nurmaini, Ade Iriani Sapitri, Muhammad Taufik Roseno, Muhammad Naufal Rachmatullah, Putri Mirani, Nuswil Bernolian, Annisa Darmawahyuni, Bambang Tutuko, Firdaus Firdaus, Anggun Islami, Akhiar Wista Arum, Rio Bastian

    Published 2025-05-01
    “…Incorporating the ResNeXtBlock—a residual network with cardinality—additionally enhanced accuracy and prediction consistency. …”
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    Article
  6. 1306
  7. 1307

    Potential of a Remotely Piloted Aircraft System with Multispectral and Thermal Sensors to Monitor Vineyard Characteristics for Precision Viticulture by Leeko Lee, Andrew Reynolds, Briann Dorin, Adam Shemrock

    Published 2025-01-01
    “…The use of remote sensing for vineyard variation detection has been extensively investigated; however, there is still a dearth of literature regarding its potential for detecting key stresses such as winter hardiness, water status, and virus infection. …”
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    Article
  8. 1308

    DEVELOPMENT OF THE STUDENTS CURRENT RESULTS IN-PROCESS MONITORING SUBSYSTEM by Irina I. Kazmina, Evgeny V. Nuzhnov

    Published 2016-05-01
    “…The third way includes development of a block of generation of lecturer guidelines. The block of generation of lecturer guidelines is intended for detection of means to influence the backward and lowering their results students.…”
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  9. 1309

    OCTNet: A Modified Multi-Scale Attention Feature Fusion Network with InceptionV3 for Retinal OCT Image Classification by Irshad Khalil, Asif Mehmood, Hyunchul Kim, Jungsuk Kim

    Published 2024-09-01
    “…Current detection methods fall into two main categories: traditional methods and deep learning-based approaches. …”
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  10. 1310

    Explainable hybrid transformer for multi-classification of lung disease using chest X-rays by Xiaoyang Fu, Rongbin Lin, Wei Du, Adriano Tavares, Yanchun Liang

    Published 2025-02-01
    “…This paper proposes an explainable transformer with a hybrid network structure (LungMaxViT) combining CNN initial stage block with SE block to improve feature recognition for predicting Chest X-ray images for multiple lung disease classification. …”
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  11. 1311

    Deep Learning-Based Speech Emotion Recognition Using Multi-Level Fusion of Concurrent Features by Samuel, Kakuba, Alwin, Poulose, Dong, Seog Han, Senior Member, Ieee

    Published 2023
    “…The detection and classification of emotional states in speech involves the analysis of audio signals and text transcriptions. …”
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    Article
  12. 1312

    Anti-inflammatory effect and mechanism of stytontriterpene D on RAW264.7 cells and zebrafish by Chuqin Yu, Chuqin Yu, Chuqin Yu, Gao Qiu, Gao Qiu, Gao Qiu, Xiangying Liu, Xiangying Liu, Xiangying Liu, Quanwei Xie, Quanwei Xie, Quanwei Xie, Zonghao Lin, Zonghao Lin, Zonghao Lin, Feng Wang, Lei Cai

    Published 2025-04-01
    “…The toxicity of STD to AB zebrafish was detected in vivo, and the recruitment of neutrophils and macrophages was evaluated in tail cut -induced and copper sulfate -induced zebrafish inflammation models. …”
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    Article
  13. 1313

    Research and Experiment on a Chickweed Identification Model Based on Improved YOLOv5s by Hong Yu, Jie Zhao, Xiaobo Xi, Yongbo Li, Ying Zhao

    Published 2024-09-01
    “…Firstly, the Squeeze-and-Excitation Module (SE) and Convolutional Block Attention Module (CBAM) were added to the model’s feature extraction network to improve the model’s recognition accuracy; secondly, the Ghost convolution lightweight feature fusion network was introduced to effectively identify the volume, parameter amount, and calculation amount of the model, and make the model lightweight; finally, we replaced the loss function in the original target bounding box with the Efficient Intersection over Union (EloU) loss function to further improve the detection performance of the improved YOLOv5s model. …”
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  14. 1314

    Optimization of the Weight Processing Algorithm in Multichannel Doppler Filtering by V. I. Koshelev, Ngoc Hieu Trinh

    Published 2024-05-01
    “…However, the implementation of multi-channel Doppler filtering (MDF) based on the classical fast Fourier transform (FFT) algorithm of non-equidistant signal samples in the signal detection problem is associated with energy losses. …”
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  15. 1315

    Hybrid transfer learning and self-attention framework for robust MRI-based brain tumor classification by Soumyarashmi Panigrahi, Dibya Ranjan Das Adhikary, Binod Kumar Pattanayak

    Published 2025-07-01
    “…Leveraging features from the pre-trained DenseNet201 Convolutional Neural Networks (CNN) model and integrating a Transformer-based architecture, our approach overcomes challenges like computational intensity, detail detection, and noise sensitivity. We also evaluated five additional pre-trained models-VGG19, InceptionV3, Xception, MobileNetV2, and ResNet50V2 and incorporated Multi-Head Self-Attention (MHSA) and Squeeze-and-Excitation Attention (SEA) blocks individually to improve feature representation. …”
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  16. 1316

    Determination of copper Ions (II) in Aqueous Solutions Using Organic Reagent 3-Hydroxy-4-[(2-hydroxy benzylidene) amino] naphthalene Sulphonic Acid-1 (HHBAN) by Spectrophotometric... by Mohammad Maarouf, Ammar Ismaiel

    Published 2025-07-01
    “…Calibration is linear over the range (0.3-6) mg/l and the detection limit was 0.02 mg/l. The proposed method was examined on standard solutions of Copper, and RSD% in the range (0.25-5.26)%, and the recovery ( 95-102.5 )%. …”
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  17. 1317

    The influence of probiotics on the cervical malignancy diagnostics quality by Perišić Živko, Perišić Nataša, Goločorbin-Kon Svetlana, Vešović Dušan, Mitrović-Jovanović Ana, Mikov Momir

    Published 2011-01-01
    “…Probiotics species competitive block toxic substances and growth of unwanted bacteria and yeast species while they compete for the space and food. …”
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  19. 1319

    Mechanism of immune escape mediated by T cell depletion induced by TOX signaling pathway in cervical cancer microenvironment by LIU Dan, ZHANG Guxiang, XIE Dan, XU Yan, XIE Chengfang, TANG Yuxi

    Published 2025-07-01
    “…Each group received intraperitoneal injection of blocking antibody and isotype control treatment respectively. …”
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  20. 1320