The proceedings contain 45 papers. The special focus in this conference is on Intelligent and 3D Technologies. The topics include: Multi-scale Point Cloud Shape Completion Network Based on Deep Learning;research on Ap...
ISBN:
(纸本)9789819791231
The proceedings contain 45 papers. The special focus in this conference is on Intelligent and 3D Technologies. The topics include: Multi-scale Point Cloud Shape Completion Network Based on Deep Learning;research on Application and Effect Evaluation of Product Innovation Management Based on Deep Learning;study on Deep Learning-Based Personalised Product Recommendation Model for Autonomous Question-and-Answer Robot;application of Image Watermarking Technology Based on Deep Learning in Copyright Protection;research on the Combination of Building Structural Health Monitoring and Deep Learning Image Processing;electrical Equipment Prediction in a Variable Electromagnetic Field Using Deep Learning;state Monitoring and Fault Prediction of Wind Farm Transmission and Transformation Equipment Based on Deep Learning;application of Deep Learning Algorithms in the Innovation Ecosystem of Electric Power;optimization Strategy for Inventory Management Based on machine Learning;intelligent Design and Evaluation of Aging Adaptable Public Spaces Based on Deep Learning;performance Optimization and Acceleration of machine Learning Algorithms in Task Allocation of Mine Maintenance Robots;Application of Deep Learning to Improve the Performance of Automotive Electronic Control Unit (ECU);deep Learning-Based Scene Classification for Remote Sensing Images;Improved Swarm intelligence Optimization Algorithm Based on SL-Relu Activation Function Improvement Strategy and Its Application in Price Forecasting;Automatic Segmentation of Traumatic Penumbra in Rat Brain Based on Improved UNet++;A Brain Tumor Classification Method Based on ResNeXt-SESA Network;A LSTM Algorithm for Coastal City Cultural Scene Value Sustainable Development Forecast Improvement;patternrecognition in Archive Analysis Using Data Mining;building Crack Detection Method Based on Convolutional Neural Network.
The proceedings contain 24 papers. The special focus in this conference is on Applications of Medical Artificial intelligence. The topics include: SP-NAS: Surgical Phase recognition-Based Navigation Adjustment System ...
ISBN:
(纸本)9783031820069
The proceedings contain 24 papers. The special focus in this conference is on Applications of Medical Artificial intelligence. The topics include: SP-NAS: Surgical Phase recognition-Based Navigation Adjustment System for Distal Gastrectomy;transforming Multimodal Models into Action Models for Radiotherapy;enhanced Interpretability in Histopathological Images via Combined Tissue and Cell-Level Graph Analysis;targeted Visual Prompting for Medical Visual Question Answering;deep Learning for Resolving 3D Microstructural Changes in the Fibrotic Liver;predicting Falls Through Muscle Weakness from a Single Whole Body Image: A Multimodal Contrastive Learning Framework;Optimizing ICU Readmission Prediction: A Comparative Evaluation of AI Tools;source Matters: Source Dataset Impact on Model Robustness in Medical Imaging;evaluating Perceived Workload, Usability and Usefulness of Artificial intelligence Systems in Low-Resource Settings: Semi-automated Classification and Detection of Community Acquired Pneumonia;incremental Augmentation Strategies for Personalised Continual Learning in Digital Pathology Contexts;assessing Generalization Capabilities of Malaria Diagnostic Models from Thin Blood Smears;automated Feedback System for Surgical Skill Improvement in Endoscopic Sinus Surgery;quantifying Knee Cartilage Shape and Lesion: From Image to Metrics;RadImageGAN – A Multi-modal Dataset-Scale Generative AI for Medical Imaging;Ensemble-KAN: Leveraging Kolmogorov Arnold Networks to Discriminate Individuals with Psychiatric Disorders from Controls;SCIsegV2: A Universal Tool for Segmentation of Intramedullary Lesions in Spinal Cord Injury;EHRmonize: A Framework for Medical Concept Abstraction from Electronic Health Records using Large Language Models;evaluating the Impact of Pulse Oximetry Bias in machine Learning Under Counterfactual Thinking;normative Modeling with Focal Loss and Adversarial Autoencoders for Alzheimer’s Disease Diagnosis and Biomarker Identification;one-Shot Medical
Today’s globalized scenario of competition has increased beyond expectations and to fulfill it, everyone has to face many competitive challenges and stressful work culture. In addition to prescribing the proper medic...
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The next revolutionary innovation in the textile industry is artificially driven by intelligent quality control and next-generation textile materials. This review, based on AI-driven automation and sustainable practic...
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Artificial intelligence Probabilistic Neural Networks are a type of neural network based on the theory of probability density functions, widely applicable in areas such as patternrecognition. Addressing the current i...
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Micro-expression recognition (MER) poses a formidable challenge due to the fleeting and subtle nature of micro-expressions (MEs). Current approaches predominantly focus on either motion features or facial structure, y...
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Autoimmune brain conditions such as pituitary, meningioma, glioma are some of the present challenges in early diagnosis due to their complexities and image characteristics. The proposed system, Autoimmune Disease Dete...
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The proceedings contain 34 papers. The topics discussed include: a comparative analysis of cyber threat intelligence models;cloud shared hosting DDoS resistance and potential ways of protection;protection of IoT netwo...
The proceedings contain 34 papers. The topics discussed include: a comparative analysis of cyber threat intelligence models;cloud shared hosting DDoS resistance and potential ways of protection;protection of IoT networks: cryptographic solutions for cybersecurity management;development of a modified steganographic model of data transmission using IPv6 protocol;optimization of the integrated video surveillance system with elements of data analysis;ecological disasters as a result of cyber-attacks in the energy sector;estimation of the aircraft's position based on optical channel data;analysis of cross-sectional neural network recognition of satellite and aerial survey data;and predictive control for failure risk assessment during navigation equipment operation.
Computed Tomography (CT) scanning offers 3D insights into the human body but involves higher radiation exposure than traditional X-Rays, increasing the relevance of 3D reconstructions from 2D data. In this work, datas...
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The paper presents the development of a Data Science solution that applies generative AI models in order to create high-quality images to be used in visual marketing and advertising. Using the Python library PIL (Pill...
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