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A novel geometrically invariant quantum watermarking scheme utilizing Quantum Error Correction
This paper proposes a novel geometrically invariant quantum watermarking scheme using Quantum Error Correction (QEC) and Novel Enhanced …
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QGD-Net: A Lightweight Model Utilizing Pixels of Affinity in Feature Layer for Dermoscopic Lesion Segmentation
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QMLS: quaternion mutual learning strategy for multi-modal brain tumor segmentation
Objective. Due to non-invasive imaging and the multimodality of magnetic resonance imaging (MRI) images, MRI-based multi-modal brain …
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C3MW: A Novel Comprehensive-Monitoring-Motivated Multi-model Watermarking Scheme for Tamper Detection and Self-recovery
In this paper, we propose a novel Comprehensive-Monitoring-Motivated Multi-model Watermarking (C3MW) Scheme for tampering region …
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FRRW: A feature extraction-based robust and reversible watermarking scheme utilizing zernike moments and histogram shifting
This paper introduces a feature extraction-based approach to ensure both robustness and reversibility of image. Low-order Zernike …
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Tampering localization and self-recovery using block labeling and adaptive significance
This paper proposes a scheme for localization and restoration of image tampered regions using block labelling and adaptive …
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SCDet: decoupling discriminative representation for dark object detection via supervised contrastive learning
Despite the significant progress made in object detection algorithms, their potential to operate effectively under the low-light …
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IDA-Net: Inheritable Deformable Attention Network of structural MRI for Alzheimer’s Disease Diagnosis
To precisely diagnose neurological diseases, such as Alzheimer’s disease, clinicians need to observe the microstructural changes of …
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Improving breast tumor segmentation via shape-wise prior-guided information on cone-beam breast CT images
Objective. Due to the blurry edges and uneven shape of breast tumors, breast tumor segmentation can be a challenging task. Recently, …
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Paralinguistic and spectral feature extraction for speech emotion classification using machine learning techniques
Abstract Emotion plays a dominant role in speech. The same utterance with different emotions can lead to a completely different …
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