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Efficient Generative-Adversarial U-Net for Multi-Organ Medical Image Segmentation
Published 2025-01-01“…Additionally, we have integrated Efficient Mapping Convolutional Blocks (EMCB) into the feature-learning process, allowing for the extraction of multi-scale spatial information and the adjustment of feature map channels through optimized weight values. …”
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Blockchain enabled collective and combined deep learning framework for COVID19 diagnosis
Published 2025-05-01Get full text
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A novel Hadamard matrix based hybrid compressive sensing technique for enhancing energy efficiency and network longevity
Published 2025-02-01“…Abstract Wireless Sensor Networks (WSN)-based Internet of Things (IoT) are made up of many tiny sensor nodes that are assigned specific tasks to sense, data process, communicate and control in predetermined areas. …”
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25990
Physiological signal-based mental stress detection using hybrid deep learning models
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25991
Extending Conflict-Based Search for Optimal and Efficient Quadrotor Swarm Motion Planning
Published 2024-11-01“…Additionally, our modified independence detection (ID) technique is applied to enable parallel conflict processing. We validate the planning capabilities of SL-CBS in classical scenarios and compare these with the latest state-of-the-art (SOTA) algorithms, showing great improvements in success rate, computation time, and flight time. …”
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Networked Sensor-Based Adaptive Traffic Signal Control for Dynamic Flow Optimization
Published 2025-06-01Get full text
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RADAR: Reasoning AI-Generated Image Detection for Semantic Fakes
Published 2025-07-01Get full text
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DPA-HairNet: A Dual Encoder Attention Based Network for Hair Artifact Removal in Dermoscopic Images
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Spatial but not temporal orienting of attention enhances the temporal acuity of human peripheral vision
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Design of a deep fusion model for early Parkinson’s disease prediction using handwritten image analysis
Published 2025-07-01Get full text
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Graph-Based Radiomics Feature Extraction From 2D Retina Images
Published 2025-01-01“…While working with two-dimensional (2D) images derived from volumetric data offers computational advantages, accurately estimating structural properties within these images remains challenging. …”
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