The proceedings contain 358 papers. The topics discussed include: stable parallel training of Wasserstein conditional generative adversarial neural networks : full/regular research paper submission for the symposium C...
ISBN:
(纸本)9781665458412
The proceedings contain 358 papers. The topics discussed include: stable parallel training of Wasserstein conditional generative adversarial neural networks : full/regular research paper submission for the symposium csci-ISAI: artificial intelligence;neural network optimization with biologically inspired low-dimensional manifold learning;a federated affective computing framework to learn from small data;enhancing the resolution of satellite imagery using a generative model;PCA approaches for optimal convolution kernels in convolutional neural networks;on the practical uses of experimental adversarial neural cryptography;weakly supervised crowdsourcing learning based on adversarial consensus;hybrid quantum variational autoencoders for representation learning;application of data transformation techniques and train-test sit;data driven process evaluation simulation model for circular economy treatment processes;multi-task deep neural networks for multimodal personality trait prediction;and path-enhanced multi-hop graph attention network for aspect-based sentiment analysis.
The proceedings contain 13 papers. The topics discussed include: multi-objective scheduling model for OpenStack-based cloud;video captioning via two-stage attention model and generative adversarial network;knowledge g...
ISBN:
(纸本)9781665402729
The proceedings contain 13 papers. The topics discussed include: multi-objective scheduling model for OpenStack-based cloud;video captioning via two-stage attention model and generative adversarial network;knowledge graph-based sequence recommendation;research on quality control of intelligent injection molding system based on process monitoring;research on high-speed object tracking based on circle migration estimation neighborhood;applying data mining technology on inflation prediction in the United States;design and implementation of standard compliance testing for Chinese news markup language;and an enhanced expression recognition based on sparse representation using data normalization.
The proceedings contain 24 papers. The topics discussed include: using fast multidimensional projections to reveal band and circumplex patterns in reorderable matrices;a 3D spectral-spatial classification of hyperspec...
ISBN:
(纸本)9789898704320
The proceedings contain 24 papers. The topics discussed include: using fast multidimensional projections to reveal band and circumplex patterns in reorderable matrices;a 3D spectral-spatial classification of hyperspectral remote sensing imagery using inception based network;3D face reconstruction from hard blended edges;capsule neural networks in classification of skin lesions;a single RGB image based 3D object reconstruction system;face features-based personality assessment;analysis of capsule networks for image classification;analysis and visual exploration of prediction algorithms for public bicycle sharing systems;and hello, my name is smarttram, human factors is on board, enjoy the ride! developing a human factors program for automatic trams.
The proceedings contain 80 papers. The topics discussed include: back-imaging scheme in RF-powered passive camera system;proactive attack detection at the edge through an ensemble deep learning model;a secure federate...
ISBN:
(纸本)9781665466677
The proceedings contain 80 papers. The topics discussed include: back-imaging scheme in RF-powered passive camera system;proactive attack detection at the edge through an ensemble deep learning model;a secure federated learning mechanism for data privacy protection;OFDM signal design based on electrode-based through-the-earth communication;spiking mean field multi-agent reinforcement learning for dynamic resources allocation in D2D networks;joint optimization of latency and reward for offloading dependent tasks in mobile edge computing;energy-efficient power control and resource allocation based on deep reinforcement learning for d2d communications in cellular networks;a fuzzy Bayesian network based on fault tree for vaccine safety risks analysis;a reinforcement learning-based task classification mechanism for privacy-enhanced mobile crowdsensing strategy;a mobile crowd sensing ecosystem based on fog computing infrastructure;preserving privacy for edge weights in communication networks;and design and implementation of anti-wireless electricity rubbing system.
The proceedings contain 20 papers. The special focus in this conference is on computationalintelligence in Data science. The topics include: Predicting Customer Churn in Banking Based on Data Mining Techniques;early ...
ISBN:
(纸本)9783030925994
The proceedings contain 20 papers. The special focus in this conference is on computationalintelligence in Data science. The topics include: Predicting Customer Churn in Banking Based on Data Mining Techniques;early Prediction of Diabetes Disease Based on Data Mining Techniques;an Application-Driven IoT Based Rooftop Farming Model for Urban Agriculture;enhanced Ant Colony Optimization Algorithm for Optimizing Load Balancing in Cloud Computing Platform;Captioning of Image Conceptually Using BI-LSTM Technique;analysis of Land Cover Type Using Landsat-8 Data;rule Based Combined Tagger for Marathi Text;preface;a Scalable Data Pipeline for Realtime Geofencing Using Apache Pulsar;evaluating Candidate Answers Based on Derivative Lexical Similarity and Space Padding for the Arabic Language;ontology Model for Spatio-Temporal Contexts in Smart Home Environments;automatic Detection of Buildings Using High Resolution Images for Medium Density Regions;A Liver Segmentation Algorithm with Interactive Error Correction for Abdominal CT Images: A Preliminary Study;pixel Based Adversarial Attacks on Convolutional Neural Network Models;continual Learning for Classification Problems: A Survey;Detection of Flooded Regions from Satellite Images Using Modified UNET;Blockchain Based End-To-End Tracking System for COVID Patients;decentralized Application Using Ethereum Blockchain on Performance Analysis Considering E-Voting System.
The proceedings contain 288 papers. The topics discussed include: two-player games for learningreal-time model checking;a human detection approach for burning building sites using deep learning techniques;simulating a...
ISBN:
(纸本)9781728113609
The proceedings contain 288 papers. The topics discussed include: two-player games for learningreal-time model checking;a human detection approach for burning building sites using deep learning techniques;simulating asymptotic orders of the number of graphical partitions and graphical degree sequences;multihop ad hoc networks for disaster response scenarios;exploiting facebook for educational purposes in iraqi universities;temporal in-situ compression of scienti?c floating point data with t-GLATE;an integrated cost-effective security requirement engineering process in SDLC using FRAM;and method of moment analysis of truncation number in a homogeneous spheroid model.
The proceedings contain 291 papers. The topics discussed include: cyber extortion unveiled: the evolution, tactics, challenges, and future of ransomware;a transfer learning-based new user recognition for minimizing re...
ISBN:
(纸本)9798350361513
The proceedings contain 291 papers. The topics discussed include: cyber extortion unveiled: the evolution, tactics, challenges, and future of ransomware;a transfer learning-based new user recognition for minimizing retraining time in edge deep learning;cartoon extraction mechanism via UML model based on natural language requirement specs;smart temperature management in buildings using predictive analysis by machine learning algorithms;positive and negative effects of muscle force assistance on muscle metabolic cost during normal walking;experimental predictive analytics algorithms to detect fake news: a survey;localization of left ventricular epicardium and endocardium using convolutional neural network and transfer learning;and endurance-aware deep neural network real-time scheduling on ReRAM accelerators.
The proceedings contain 324 papers. The topics discussed include: data optimization for large batch distributed training of deep neural networks;automatic composition of things in the Internet of things;a review of ma...
ISBN:
(纸本)9781728176246
The proceedings contain 324 papers. The topics discussed include: data optimization for large batch distributed training of deep neural networks;automatic composition of things in the Internet of things;a review of machine learning and cryptography applications;development of an effective and secure communication system in a quarantine situation;a mobile application as didactic material to improve learning on distributed architectures;distributed ray tracing of large scenes using actors;cloud incident response: challenges and opportunities;energy-efficient heterogeneous computing of parallel applications via power capping;a mediated multi-RNN hybrid system for prediction of stock prices;ArtMatch: classifying famous paintings and matching them with children’s artwork;comparisons of full body and facial dog identification;and time series forecasting of COVID-19 infections in United Arab Emirates using ARIMA.
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