The proceedings contain 30 papers. The topics discussed include: visualization research on the market structure of China’s SSE 50 index based on the affinity propagation machinelearning algorithm;multi-task learning...
ISBN:
(纸本)9798400716546
The proceedings contain 30 papers. The topics discussed include: visualization research on the market structure of China’s SSE 50 index based on the affinity propagation machinelearning algorithm;multi-task learning LSTM-based traffic prediction in data center networks;machinelearning-based models for predicting defective packages;retailers’ order decision with setup cost using machinelearning;sequential generative-supervised strategies for improved multi-step oil well production forecasting;research on online consumer demand ranking and content prediction based on kano model;opinion mining with interpretable random density forests;and load balancing for task scheduling based on multi-agent reinforcement learning in cloud-edge-end collaborative environments.
The proceedings contain 31 papers. The topics discussed include: research on location problem based on fuzzy multi-criteria decision method;decision model of ship intelligent collision avoidance based on automatic inf...
ISBN:
(纸本)9781450398633
The proceedings contain 31 papers. The topics discussed include: research on location problem based on fuzzy multi-criteria decision method;decision model of ship intelligent collision avoidance based on automatic information system data and generic adversary imitation learning-deep deterministic policy gradient;research on energy consumption prediction based on fast attribute reduction of weighted neighborhood rough set with moving horizon;solving multimodal multi-objective problems with local pareto front using a population clustering mechanism;validated computation of Lipschitz constant of recurrent neural networks;neural network optimization objective vector representation based on genetic algorithm and its multi-objective optimization method;improved multilayer perceptron neural networks weights and biases based on the grasshopper optimization algorithm to predict student performance on ambient learning;and spatio-temporal deep fusion graph convolutional networks for crime prediction.
The proceedings contain 28 papers. The topics discussed include: a novel deep learning approach to the statistical downscaling of temperatures for monitoring climate change;deep reinforcement learning with noisy explo...
ISBN:
(纸本)9781450387477
The proceedings contain 28 papers. The topics discussed include: a novel deep learning approach to the statistical downscaling of temperatures for monitoring climate change;deep reinforcement learning with noisy exploration for autonomous driving;deep-learning based method for breech face comparisons;a deep learning-based system for document layout analysis;double decomposition-based wind speed prediction model for urad area;two-stage dual-archive fireworks algorithm for multimodal multi-objective optimization;bi-objective lion swarm optimization based on teaching and learning algorithm;music sheet understanding and tone transposition;and popularity debiased entity linking by adversarial attack.
The proceedings contain 32 papers. The topics discussed include: assessing the quality of Wikipedia articles;a graph-based machinelearning approach to predicting digital lifecycle campaign engagement;interpretable ma...
ISBN:
(纸本)9781450387613
The proceedings contain 32 papers. The topics discussed include: assessing the quality of Wikipedia articles;a graph-based machinelearning approach to predicting digital lifecycle campaign engagement;interpretable machinelearning for meteorological data;deep feature learning network for vehicle retrieval;classification of credit card holders based on random forest algorithm;imbalanced-type incomplete data fuzzy modeling and missing value imputations;direct alignment maximization for clustering ensemble;expressway travel time prediction model based on multi-source data fusion;parallel algorithm for the unsupervised binning of metagenomic sequences;and periodic time series forecasting with bidirectional long short-term memory: periodic time series forecasting with bidirectional LSTM.
The proceedings contain 32 papers. The topics discussed include: reasoning algorithms for complex matching features;named entity recognition method for fault knowledge based on deep learning;regression model for bette...
ISBN:
(纸本)9781450376310
The proceedings contain 32 papers. The topics discussed include: reasoning algorithms for complex matching features;named entity recognition method for fault knowledge based on deep learning;regression model for better generalization and regression analysis;implementing IoT-adaptive fuzzy neural network model enabling service for supporting fashion retail;multimodal sentiment analysis based on multi-head attention mechanism;valence-arousal model based emotion recognition using EEG, peripheral physiological signals and facial expression;cyber physical system: achievements and challenges;and energy expenditure estimation based on artificial intelligence and microservice architecture.
software defects are often expensive to fix, especially when they are identified late in development. Packages encapsulate logical functionality and are often developed by particular teams. Package-level defect predic...
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Federated learning can bring significant benefits to edge IoT systems in their scalability, efficiency, and application space by increasing the amount of computing for the nodes while decreasing the amount of network ...
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In the context of developing nations like India, traditional business-to-business (B2B) commerce heavily relies on the establishment of robust relationships, trust, and credit arrangements between buyers and sellers. ...
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With the increasing variety of computational scenarios and task types in cloud-edge-end collaborative networks, task scheduling in cloud-edge-end collaborative environments can better adapt to various task types and a...
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With the rapidly developing artificial intelligence, metaverse, and 5G applications, the traffic in the Data Center Network exploded in the past decade. Optical switches are implemented to forward packets to reduce th...
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