The proceedings contain 66 papers. The topics discussed include: a proposal of a multi-agent supporting system for network community formation;multimedia checkpoint protocol with lower recovery overhead;learning throu...
ISBN:
(纸本)9798331539887
The proceedings contain 66 papers. The topics discussed include: a proposal of a multi-agent supporting system for network community formation;multimedia checkpoint protocol with lower recovery overhead;learning through practice: the robot rugby design and development for the contest;fine-grained sketch retrieval for multi metric feature fusion with attentional mechanism;performance evaluation metrics for motion detection and tracking;correspondence analysis and perturbation of chi-squared value;application of large language model and in-context learning for aviation safety prediction;wideband microwave waveguide pillbox antenna with fan-beam radiation pattern and optimized matching performance;and a lightweight network-based automatic modulation recognition method applied to edge states.
This review examines the pivotal role of data analytics in optimizing multi-Level Marketing (MLM) operations amid evolving market challenges. It highlights key strategies such as predictive analytics for customer acqu...
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Ransomware is becoming a more serious threat to cybersecurity, and conventional detection techniques frequently fail to maintain up with its changing strategies. To overcome this difficulty, this research proposes an ...
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To address the issue of insufficient military equipment sample data, which cannot meet the training requirements of deep neural networks and tends to cause overfitting, this paper introduces transfer learning technolo...
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In the multi-key searchable encryption scenario, individuals save their encrypted files on a distant computer system, having the ability to retrieve them. An individual should have the ability to conduct keyword searc...
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The proceedings contain 193 papers. The topics discussed include: the effect and research of environmental analysis software in environmental early warning under the background of big data;digital protection and refle...
The proceedings contain 193 papers. The topics discussed include: the effect and research of environmental analysis software in environmental early warning under the background of big data;digital protection and reflection on Tibetan ghee sculpture art of intangible cultural heritage in China;a machine learning model for quantifying the effect of lifestyle interventions for patients with type 2 diabetes mellitus;deep attentional factorization machines learning approach for driving safety risk prediction;implicit-discrete-maximum-principle-based production optimization in reservoir development;application of internet communications in agricultural electromechanical drainage and irrigation pumping station;influence of 80-mesh traditional Chinese medicine particle stack thickness on percolation performance;and advanced production plan system of military manufacturing enterprises based on linear programming model.
Camouflaged object detection (COD) is challenging due to objects blending seamlessly with their surroundings. This task is crucial in medical imaging, surface defect detection, and surveillance. To address these chall...
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This paper presents a practical approach for processing AIS signals after RF direct acquisition in the ship automatic identification system. The method involves shifting the signals of the two AIS frequencies to baseb...
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Neurological disorders rooted in cognitive impairments can have a profound impact on the cognitive and brain developmental functions of children resulting in persistent cognitive disabilities. We proposed a multi-agen...
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Globally,diabetic retinopathy(DR)is the primary cause of blindness,affecting millions of people *** widespread impact underscores the critical need for reliable and precise diagnostic techniques to ensure prompt diagn...
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Globally,diabetic retinopathy(DR)is the primary cause of blindness,affecting millions of people *** widespread impact underscores the critical need for reliable and precise diagnostic techniques to ensure prompt diagnosis and effective *** learning-based automated diagnosis for diabetic retinopathy can facilitate early detection and ***,traditional deep learning models that focus on local views often learn feature representations that are less discriminative at the semantic *** the other hand,models that focus on global semantic-level information might overlook critical,subtle local pathological *** address this issue,we propose an adaptive multi-scale feature fusion network called(AMSFuse),which can adaptively combine multi-scale global and local features without compromising their individual ***,our model incorporates global features for extracting high-level contextual information from retinal ***,local features capture fine-grained details,such as microaneurysms,hemorrhages,and exudates,which are critical for DR *** global and local features are adaptively fused using a fusion block,followed by an Integrated Attention Mechanism(IAM)that refines the fused features by emphasizing relevant regions,thereby enhancing classification accuracy for DR *** model achieves 86.3%accuracy on the APTOS dataset and 96.6%RFMiD,both of which are comparable to state-of-the-art methods.
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