the proceedings contain 37 papers. the topics discussed include: sparse anchor-based object detection in crowded scenes;agent-based optimized genetic algorithm for solving TSP problems;analysis and research of network...
ISBN:
(纸本)9798400717840
the proceedings contain 37 papers. the topics discussed include: sparse anchor-based object detection in crowded scenes;agent-based optimized genetic algorithm for solving TSP problems;analysis and research of network public opinion propagation model GSN-SEIRO;early warning research on financial risks of listed companies in real estate industry based on BP neural networks;integration of a trojan detection tool with BFDS: enhancing field-programmable gate array security;low-resource Burmese speech synthesis based on visual text embedding and diffusion model;named entity recognition of new energy vehicle parts based on large language model;and a multi-task approach with multi-grained information extraction for dialect speech recognition.
the proceedings contain 43 papers. the topics discussed include: intelligent city construction resource optimization and scheduling algorithm based on T-S fuzzy neural network and deep data mining;research on domain t...
ISBN:
(纸本)9798400710100
the proceedings contain 43 papers. the topics discussed include: intelligent city construction resource optimization and scheduling algorithm based on T-S fuzzy neural network and deep data mining;research on domain text classification algorithm based on multi-granularity fusion;the impact of body posture on 3D spatial survey knowledge in VR simulated microgravity environment;a personalized virtual training method for human-machine safety interaction oriented toward human-centric manufacturing;research on software development methods for intelligent mobile robots;overview and analysis of the application of digital twin-based human-machine collaboration in the product development process;and decision making for postgraduate training based on differential evolution algorithm.
the proceedings contain 8 papers. the special focus in this conference is on AI for Research. the topics include: Scientific Opinion Summarization: Paper Meta-review Generation Dataset, Methods, and Evaluation;cu...
ISBN:
(纸本)9789819795352
the proceedings contain 8 papers. the special focus in this conference is on AI for Research. the topics include: Scientific Opinion Summarization: Paper Meta-review Generation Dataset, Methods, and Evaluation;curriculum Reinforcement Learning for Tokamak Control;AutoEncoder-Based Anomaly Detection for CMS Data Quality Monitoring;Using LLMs to Structure and Visualize Policy Discourse;participatory Budgeting as an Element of Crowdsourcing in the Smart City Area;utterance Analysis of Discussions Structure and Discourse Quality: A Case of Removed Soils in Fukushima Prefecture, Japan;obvious Independence of Clones: Extended Abstract.
the proceedings contain 69 papers. the special focus in this conference is on Pattern Recognition and artificialintelligence. the topics include: Hierarchical Attention Decoder for Solving Math Word Problems;enh...
ISBN:
(纸本)9789819787012
the proceedings contain 69 papers. the special focus in this conference is on Pattern Recognition and artificialintelligence. the topics include: Hierarchical Attention Decoder for Solving Math Word Problems;enhancing Output Diversity Improves Conjugate Gradient-Based Adversarial Attacks;open-World Visual Reasoning by a Neuro-Symbolic Program of Zero-Shot Symbols;the Hidden Influence of Latent Feature Magnitude When Learning with Imbalanced Data;AM-SORT: Adaptable Motion Predictor with Historical Trajectory Embedding for Multi-Object Tracking;character Identifying Video Language Alignment Network for Weakly-Supervised Video-Subtitle Moment Retrieval;spiral Patch Exemplar-Based Inpainting of 3D Colored Meshes;BEVFormer’s Plugin: Integrating Historical Detection Data, BEV-Level Information, Time Information, and Depth Information;adjustable Visual Appearance for Generalizable Novel View Synthesis;flexible Video Matting With Temporally Coherent Trimaps Generation;adversarial Augmentation Training Makes Action Recognition Models More Robust to Realistic Video Distribution Shifts;egocentric View Hand Action Recognition by Leveraging Hand Surface and Hand Grasp Type;visual Concept Networks: A Graph-Based Approach to Detecting Anomalous Data in Deep Neural Networks;contrastive Language-Entity Pre-training for Richer Knowledge Graph Embedding;Fine-Tuning Pre-trained Model with Prototype Learning for OOD Detection;prototype-Guided Contrastive Knowledge Graph Representation Learning for Diagnosis Prediction;stop Overkilling Simple Tasks with Black-Box Models, Use More Transparent Models Instead;feature-Based Explainable Reinforcement Learning in Environments with Multiple Sources of Risk;probing Network Decisions: Capturing Uncertainties and Unveiling Vulnerabilities Without Label Information;enhancing Robustness of Over-Parameterized Models via Feature Reweighting Using Logit-Wise Mixup;language-Aware Non-autoregressive Khmer Textline Recognition;ATA: Attentive Text Augment
the proceedings contain 69 papers. the special focus in this conference is on Pattern Recognition and artificialintelligence. the topics include: Hierarchical Attention Decoder for Solving Math Word Problems;enh...
ISBN:
(纸本)9789819787043
the proceedings contain 69 papers. the special focus in this conference is on Pattern Recognition and artificialintelligence. the topics include: Hierarchical Attention Decoder for Solving Math Word Problems;enhancing Output Diversity Improves Conjugate Gradient-Based Adversarial Attacks;open-World Visual Reasoning by a Neuro-Symbolic Program of Zero-Shot Symbols;the Hidden Influence of Latent Feature Magnitude When Learning with Imbalanced Data;AM-SORT: Adaptable Motion Predictor with Historical Trajectory Embedding for Multi-Object Tracking;character Identifying Video Language Alignment Network for Weakly-Supervised Video-Subtitle Moment Retrieval;spiral Patch Exemplar-Based Inpainting of 3D Colored Meshes;BEVFormer’s Plugin: Integrating Historical Detection Data, BEV-Level Information, Time Information, and Depth Information;adjustable Visual Appearance for Generalizable Novel View Synthesis;flexible Video Matting With Temporally Coherent Trimaps Generation;adversarial Augmentation Training Makes Action Recognition Models More Robust to Realistic Video Distribution Shifts;egocentric View Hand Action Recognition by Leveraging Hand Surface and Hand Grasp Type;visual Concept Networks: A Graph-Based Approach to Detecting Anomalous Data in Deep Neural Networks;contrastive Language-Entity Pre-training for Richer Knowledge Graph Embedding;Fine-Tuning Pre-trained Model with Prototype Learning for OOD Detection;prototype-Guided Contrastive Knowledge Graph Representation Learning for Diagnosis Prediction;stop Overkilling Simple Tasks with Black-Box Models, Use More Transparent Models Instead;feature-Based Explainable Reinforcement Learning in Environments with Multiple Sources of Risk;probing Network Decisions: Capturing Uncertainties and Unveiling Vulnerabilities Without Label Information;enhancing Robustness of Over-Parameterized Models via Feature Reweighting Using Logit-Wise Mixup;language-Aware Non-autoregressive Khmer Textline Recognition;ATA: Attentive Text Augment
the proceedings contain 110 papers. the topics discussed include: multi-scale multi-clue crowd counting network;multi-level convolutional transformer with adaptive ranking for semi-supervised crowd counting;design of ...
ISBN:
(纸本)9781450385053
the proceedings contain 110 papers. the topics discussed include: multi-scale multi-clue crowd counting network;multi-level convolutional transformer with adaptive ranking for semi-supervised crowd counting;design of multi-AGV system with tracking, collision avoidance and coordination;obscuration resistant method for unmanned air vehicle object tracking;research and application of recommendation algorithm based on bidirectional attention model;a method for smart grid data analysis based on MapReduce cloud computing;a Markov chain based method for the aggregation modeling of electric vehicles;and a k-means algorithm based platform for the assistant decision-making of power grid dispatching.
the proceedings contain 38 papers. the topics discussed include: the algorithm for detecting intruders at station platform ends based on single-line radar point clouds;chemical reagent localization and recognition alg...
the proceedings contain 38 papers. the topics discussed include: the algorithm for detecting intruders at station platform ends based on single-line radar point clouds;chemical reagent localization and recognition algorithm for robot chemists based on YOLOv5 and CRNN;pipelined memristive neural network analog-to-digital converter;OPSNet: point cloud registration based on overlapping predictive segmentation;complex query in process knowledge graph based on box embedding;application of Internet of things technology in safe centralized storage of big data information;improved genetic algorithm based on oscillation factor to solve the AUV path planning problem;and research on human pose estimation based on high-resolution network.
the proceedings contain 83 papers. the topics discussed include: instance segmentation of high-resolution remote sensing images based on Bayesian classifier and discrete cosine transform;research on obstacle detection...
ISBN:
(纸本)9798400710049
the proceedings contain 83 papers. the topics discussed include: instance segmentation of high-resolution remote sensing images based on Bayesian classifier and discrete cosine transform;research on obstacle detection method for rail transportation under low-light condition based on infrared image;dynamic strategy attack: a reinforcement learning-based method for watermark protection;a method for detecting financial fraud in public companies based on federated learning;data anomaly detection based on mutual information feature enhancement;stair image segmentation detection based on deep learning;classification and recognition of infant sleeping positions based on dual model feature fusion;exploration and image display of fertilizer input based on grey prediction algorithm and decision tree classification;and a class incremental learning method with weight re-initialization and multiple distillation for image classification.
the proceedings contain 194 papers. the topics discussed include: analysis and verification of fluid-structure coupling vibration characteristics of flood gate based on virtual mass method;spatiotemporal prediction of...
ISBN:
(纸本)9798400710247
the proceedings contain 194 papers. the topics discussed include: analysis and verification of fluid-structure coupling vibration characteristics of flood gate based on virtual mass method;spatiotemporal prediction of land subsidence by integrating multi-source data;real time monitoring and statistical analysis of water intake based on computer information technology;landslide displacement prediction based on the random forest and optimized support vector regression;research on rockburst intensity prediction based on grey wolf optimization algorithm and random forest;research on the design of blasting protection hose thickness based on machine learning;prediction of surface and tunnel deformation using a random field theory-based bp neural network method;and research and application of BIM-based digital seepage control technology for large hydropower project.
the proceedings contain 18 papers. the special focus in this conference is on artificialintelligence and Knowledge Processing. the topics include: Deciphering Excellence in Hospitality: A Study on India's Premier...
ISBN:
(纸本)9783031734762
the proceedings contain 18 papers. the special focus in this conference is on artificialintelligence and Knowledge Processing. the topics include: Deciphering Excellence in Hospitality: A Study on India's Premier Hotels Using Natural Language Processing;Decoding Student Feedback in Engineering Education: A Latent Dirichlet Allocation and PyLDAvis Approach;real Time Traffic Management by Optimizing Level of Service;FGA-Net: Feature-Gated Attention for Glioma Brain Tumor Segmentation in Volumetric MRI Images;empowering Breast Cancer Detection: A Novel Hybrid Transfer Learning Approach with Aquila Optimizer;predictive Analytics in Weather Forecasting Using Machine Learning and Deep Learning;Brain Tumor Classification from MRI Scans Using a Novel CNN Architecture and Optimization Techniques;dual Model Dynamics: Enhancing Depression Prediction through the Integrated Use of Convolutional Neural Networks and Support Vector Machines in Data-Driven Methods;quantum Simulation of 1D and 2D Lattice-Based Magnetic Quantum Systems Using Heisenberg Model via Variational Quantum Eigensolver;topological Quantum Computing for Engineers;traffic Forecasting with Spatio-Temporal Graph Neural Networks;A Deep Learning-Based Novel RNN-BiLSTM Architecture for Efficient threat Detection in IoT Ecosystem;cyber-Attack Detection in Healthcare Systems Based on Modified -Recurrent Neural Network Approach;A Comparative Analysis of Aggregation Methods in Federated Learning on MNIST;hybrid Feature Approach for Enhancing Zero-Shot Image Classification;abusive Comment Detection from Bengali-English Code-Mixed Social Media Texts Using Ensemble of Deep Learning.
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