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 84 papers. The topics discussed include: characterizing phenotypes for mental health disorders with wrapper‐typed feature selection techniques: comparison of RF‐RFE and fuzzy forest;chaos pre...
ISBN:
(纸本)9781450395700
The proceedings contain 84 papers. The topics discussed include: characterizing phenotypes for mental health disorders with wrapper‐typed feature selection techniques: comparison of RF‐RFE and fuzzy forest;chaos prediction of power systems by using deep learning;a highly efficient, confidential, and continuous federated learning backdoor attack strategy;a transformer‐based deep learning model for evaluation of accessibility of image descriptions;single stock trading with deep reinforcement learning: a comparative study;self‐supervised domain adaptation model based on contrastive learning;pseudo reward and action importance classification for sparse reward problem;a machinelearning‐based approach for cardiovascular diseases prediction;DeepGCNMIL: multi‐head attention guided multi‐instance learning approach for whole‐slide images survival analysis using graph convolutional networks;and optimize the NOx emission concentration of circulation fluidized bed boiler based on on‐line learning neural network and modified TLBO algorithm.
The proceedings contain 86 papers. The topics discussed include: bandwidth resources prediction for dynamic networking slicing based on time series analysis;optimal design of resource discovery-allocation- transmissio...
ISBN:
(纸本)9781665498586
The proceedings contain 86 papers. The topics discussed include: bandwidth resources prediction for dynamic networking slicing based on time series analysis;optimal design of resource discovery-allocation- transmission-offloading strategy in mobile edge computing;entity recognition of power fault disposal based on attention model;traffic flow prediction based on spatio-temporal attention block;an adaptive plotting method for large-scale symbols;multi-hop question answering model based on Chinese open domain knowledge graph;real-time medical electronic data mining based on shapelet pattern recognition;mining hub nodes based on fast Brandes betweenness centrality in a weighted complex transportation network;application of computer intelligent data mining in quantitative analysis of interior space design;evaluation method based on random forests for empirical algorithms of penetration effects;and a joint model based on prior knowledge for war research report information extraction.
The proceedings contain 69 papers. The special focus in this conference is on machinelearning, Advances in computing, Renewable Energy and Communication. The topics include: Parallel Agglomerative Hierarchical Cluste...
ISBN:
(纸本)9789811928277
The proceedings contain 69 papers. The special focus in this conference is on machinelearning, Advances in computing, Renewable Energy and Communication. The topics include: Parallel Agglomerative Hierarchical Clustering Algorithm Implementation with Hadoop MapReduce;design Flaws and Cryptanalysis of a Lightweight Mutual Authentication Protocol for V2V Communication in Internet of Vehicles;authentication and Key Update in Satellite Communication;an Empirical Study on Factors Affecting Selection of Software Development Life Cycle Models;intelligent Approaches for Disease Diagnosis, Prevention, and Treatment;evaluation of Trust Establishment Mechanisms in Wireless Networks: A Statistical Perspective;comparative Investigation and Determination of Partial Discharge Source Using Self-organizing Map and K-nearest Neighbor Methods of Artificial Neural Network;Review of Sentiment Analysis on COVID-19 and Lockdown Twitter Data: Novel Techniques;a Deep Drive into Knowledge Management for Improving Software Process and Product: Visions and Research Directions;A Comparison of Hourly Solar Energy Generation Forecasting Using RNN and LSTM Network;supervised machinelearning Approach for Crack Detection in Digital Images;Efficient Attack Model-Based Resilient Key Predistribution for WSN;Liver Cancer Detection Using Hybrid Approach-Based Convolutional Neural Network (HABCNN);The Use of LSTM Models for Water Demand Forecasting and Analysis;machinelearning-Based Analytical and Predictive Study on Formula 1 and Its Safety;Missing Person Identification System Using Deep learning Algorithm (CNN) and machinelearning Classifiers;a Genetic Algorithm Framework to Solve Two-Dimensional Maze Problem;a Novel Secure Vector Product for Protecting the Privacy of Data in Vertically Partitioned Dataset;a Bibliometric Analysis of Anomaly Detection for IoT-Enabled Smart Cities;wireless Power Transmission: A Review;hybrid Model for Deepfake Detection.
The proceedings contain 57 papers. The special focus in this conference is on machinelearning, Advances in computing,Renewable Energy and communication. The topics include: Technoeconomic Feasibility and Sensitivity ...
ISBN:
(纸本)9789811623530
The proceedings contain 57 papers. The special focus in this conference is on machinelearning, Advances in computing,Renewable Energy and communication. The topics include: Technoeconomic Feasibility and Sensitivity Analysis of Off-Grid Hybrid Energy System;Analysis of the Impact of AC Faults and DC Faults on the HVDC Transmission Line;improving QoS of Cloudlet Scheduling via Effective Particle Swarm Model;Performance Evaluation of HHO Optimized Model Predictive Controller for AVR System and Its Comparison with Conventional Controllers;Squared Error Autocorrelation-Based VSS-LMS Control Algorithm for Grid-Integrated Solar Photovoltaic System;optimal Power Flow and Its Vindication in Deregulated Power Sector;distribution Automation and Energy Management System in Smart Grid;optimal Planning of Green Hybrid Microgrid in Power Industry;Open Access Same-Time Information System (OASIS) of New York;distribution Expansion Planning in a Deregulated Environment;open-Access Same-Time Information System: Extended to Indian Power Market;Enhancing Security Using Quantum computing (ESUQC);deviation Settlement Mechanism and Its Implementation in Indian Electricity Grid;integration of Battery Charging and Swapping Using Metaheuristics: A Review;A Study of iOS machinelearning and Artificial Intelligence Frameworks and Libraries for Cotton Plant Disease Detection;effect of Loss Functions on Language Models in Question Answering-Based Generative Chat-Bots;Shunt Active Power Filter Based on Synchronous Reference Frame Theory Connected to SPV for Power Quality Enrichment;Modeling and Implementation of Statechart for MPPT Control of Photovoltaic System in FPGA;The Economic Viability of Battery Storage: Revenue from Arbitrage Opportunity in Indian Electricity Exchange (IEX) and NYISO;density-Based Remote Override Traffic Control System.
The proceedings contain 91 papers. The topics discussed include: applications of machinelearning techniques in genetic circuit design;efficient domain-specific news push service using deep learning based text regress...
ISBN:
(纸本)9781450389310
The proceedings contain 91 papers. The topics discussed include: applications of machinelearning techniques in genetic circuit design;efficient domain-specific news push service using deep learning based text regression without users’ information;online optimal investment portfolio model based on deep reinforcement learning;research on flow classification model based on similarity and machinelearning algorithm;factors affecting accuracy of genotype imputation using neural networks in deep learning;algorithmic generation of positive samples for compound-target interaction prediction;using deep learning to construct auto web penetration test;acoustic classification of bird species using wavelets and learning algorithms;and an enhanced adaptive large neighborhood search algorithm for the capacitated vehicle routing problem.
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.
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