the proceedings contain 33 papers. the topics discussed include: improving automatic recommendation by modeling intrinsic and extrinsic motivation with Q-learning;a traditional Chinese medicine terminology recognition...
ISBN:
(纸本)9781450389808
the proceedings contain 33 papers. the topics discussed include: improving automatic recommendation by modeling intrinsic and extrinsic motivation with Q-learning;a traditional Chinese medicine terminology recognition model based on deep learning: a TCM terminology recognition model;the application of machine learning in online purchasing intention prediction;e-waste management using machine learning;univariate distribution differences and conditional variables in multivariate data associations as network flow measures to detect network attacks;data analysis of influencing factors of air quality in Chinese cities;a utility optimized mechanism for private data aggregation;semantic connotation profile of online social relationship with interactive language;quantum private size comparison protocol based on Grover algorithm;and distributed hierarchical sentence embeddings for unsupervised extractive text summarization.
the proceedings contain 119 papers. the topics discussed include: data mining of association between hyperuricemia and common chronic diseases based on evolutionary apriori algorithm (EAA);functional clustering based ...
ISBN:
(纸本)9780738105338
the proceedings contain 119 papers. the topics discussed include: data mining of association between hyperuricemia and common chronic diseases based on evolutionary apriori algorithm (EAA);functional clustering based on weighted partitioning around Medoid algorithm with estimation of number of clusters;analysis of the research progress of sharing economy based on bibliometric perspective;a refined NMS scheme based on center distance and corner distribution;credit evaluation and blockchain consensus for supply chain;EPIC Collab: supporting asynchronous collaboration in bigdata analysis systems;web service clustering method based on word vector and biterm topic model;defect detection of rubber gloves based on normal samples;and traffic state identification for expressway network based on ETC gantry system.
the proceedings contain 17 papers. the topics discussed include: a cryptocurrency prediction model using LSTM and GRU algorithms;intrusion prediction using long short -term memory deep learning with UNSW-NB15;unsuperv...
ISBN:
(纸本)9781728176819
the proceedings contain 17 papers. the topics discussed include: a cryptocurrency prediction model using LSTM and GRU algorithms;intrusion prediction using long short -term memory deep learning with UNSW-NB15;unsupervised ensemble learning and its application to temporal data mining;a low-illumination image enhancement algorithm based on morphological-Retinex(MR) operator;a streaming data collection and analysis for cryptocurrency price prediction using LSTM;dolphin identification method based on improved pst;classification of breast cancer based on improved PSPNet;a machine learning approach to predict the trend of obesity prevalence at a global level;and study on breast optical spectrum classification based on machine learning.
the proceedings contain 103 papers. the topics discussed include: artificial intelligence cyber security strategy;legal regulation of cyberbullying — from a Chinese perspective;cyber-based intelligent route planning ...
ISBN:
(纸本)9781728166094
the proceedings contain 103 papers. the topics discussed include: artificial intelligence cyber security strategy;legal regulation of cyberbullying — from a Chinese perspective;cyber-based intelligent route planning with multi-constraints;a neural embedding for source code: security analysis and CWE lists;feature extraction approach to unearth domain generating algorithms (DGAs);a survey of key issues in UAV data collection in the Internet of things;a new dynamic conditional proxy broadcast re-encryption scheme for cloud storage and sharing;efficiency optimization in supply chain using RFID technology;and executing complex calculations in the cloud to enable real-time data processing.
the proceedings contain 38 papers. the topics discussed include: crack detection with multi-task enhanced faster R-CNN model;data structure for packet de-duplication in distributed environments;ScholarFinder: knowledg...
ISBN:
(纸本)9781728170220
the proceedings contain 38 papers. the topics discussed include: crack detection with multi-task enhanced faster R-CNN model;data structure for packet de-duplication in distributed environments;ScholarFinder: knowledge embedding based recommendations using a deep generative model;intracranial hemorrhage detection in CT scans using deep learning;classifying cognitive load for a proactive in-car voice assistant;distributed fog computing architecture for real-time anomaly detection in smart meter data;classifying cognitive load for a proactive in-car voice assistant;an ensemble of multiple boosting methods based on classifier-specific soft voting for intelligent vehicle crash injury severity prediction;and the delta bigdata architecture for mobility analytics.
the proceedings contain 13 papers. the topics discussed include: research on task scheduling scheme for quantum computing cloud platform;effective and efficient heuristic approaches for solving the capacitated P-media...
ISBN:
(纸本)9781450396578
the proceedings contain 13 papers. the topics discussed include: research on task scheduling scheme for quantum computing cloud platform;effective and efficient heuristic approaches for solving the capacitated P-median clustering problem;design and development of Alzheimer disease ontology;a performance evaluation approach for n-tier cloud-based software services;unstructured over structured, bigdata analytics and applications in accounting and management;unstructured over structured, bigdata analytics and applications in accounting and management;and goal planning of enterprise raw material ordering and transshipment based on genetic algorithm and machine learning.
the proceedings contain 23 papers. the topics discussed include: rapid, progressive sub-graph explorations for interactive visual analytics over large-scale graph datasets;GPU acceleration of range queries over large ...
ISBN:
(纸本)9781450370165
the proceedings contain 23 papers. the topics discussed include: rapid, progressive sub-graph explorations for interactive visual analytics over large-scale graph datasets;GPU acceleration of range queries over large data sets;going deeper or wider: throughput prediction for cluster tools with machine learning;accelerating machine learning I/O by overlapping data staging and mini-batch generations;cryptocurrency price prediction using time series and social sentiment data;an exploration of commuter travel time through social media analytics on the cloud;a simple and efficient federated recommender system;an analysis of slant in tweets: case study;and crowd-counting through a cascaded, multi-task convolutional neural network.
the proceedings contain 28 papers. the topics discussed include: SPrune: a code pruning tool for ethereum solidity contract static analysis;recurrent factorization machine with self-attention for time-aware service re...
ISBN:
(纸本)9781728182759
the proceedings contain 28 papers. the topics discussed include: SPrune: a code pruning tool for ethereum solidity contract static analysis;recurrent factorization machine with self-attention for time-aware service recommendation;joint self-attention and multi-embeddings for Chinese named entity recognition;enhance the performance of navigation: a two-stage machine learning approach;IEye: personalized image privacy detection;an experimental study on the impact of execution location in edge-cloud computing;a truthful FPTAS auction for the edge-cloud pricing problem;smart sensing for container trucks;iLoc: non-invasive localization for mobile devices with COTS WiFi access points;FIDE: fast and interpretable 2D embedding with correlation, distance, and rank considerations;and ACE: accurate and automatic CSI error calibration for wireless localization system.
the proceedings contain 20 papers. the topics discussed include: towards unsupervised analysis of Dakar Motorcycle Rally data;optimizing privacy and convenience in the sharing economy: a blockchain and multi-agent fra...
ISBN:
(纸本)9798350317008
the proceedings contain 20 papers. the topics discussed include: towards unsupervised analysis of Dakar Motorcycle Rally data;optimizing privacy and convenience in the sharing economy: a blockchain and multi-agent framework;icon-based coding software with multi-user evaluation mode;fragment: a horror game prototype utilizing a dynamic difficulty system through agent behavior;research on internet governance behavior based on internet social responsibility;backpropagation neural network – based prediction of crack depth in fly-ash geopolymer concrete with Akaike and Bayesian information criterion;advancing earthquake prediction: a comprehensive review of data science techniques;empirical assessment of the MAFIS mobile app's usability based on the people at the center of mobile application development (PACMAD) model;and full-duplex V-band radio over fiber transmission based on microwave photonic self-heterodyne conversion.
the proceedings contain 39 papers. the topics discussed include: cybersecurity practices of rural underserved communities in Africa: a case study from northern Namibia;a deep learning model for predicting under-five m...
ISBN:
(纸本)9798350314809
the proceedings contain 39 papers. the topics discussed include: cybersecurity practices of rural underserved communities in Africa: a case study from northern Namibia;a deep learning model for predicting under-five mortality in Zimbabwe;development of a sign language recognition system using machine learning;an underwater network for mini-submarine underwater observatory;artificial intelligence and state power;1: development of a sign language recognition system using machine learning;blockchain electoral vote counting solutions: a comparative analysis of methods, constraints, and approaches;management and monitoring of livestock in the farm using deep learning;design of a 45 nm complementary metal oxide semiconductor low noise amplifier for a 30 GHz millimeter-wave wireless transceiver in radar sensor applications;realizing the potential of stratosphere utilization via stratosphere data centers;and plant disease detection using vision transformers on multispectral natural environment images.
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