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 10 papers. the topics discussed include: comparative analysis on enhanced image compression algorithms;military detection during close combat situations and border monitoring using adaptive cus...
the proceedings contain 10 papers. the topics discussed include: comparative analysis on enhanced image compression algorithms;military detection during close combat situations and border monitoring using adaptive customized convolutional neural network;machinelearning-based rainfall prediction for various regions;methodology for the registration of images and their inclusion in medica image management systems, based on the DICOM protocol;mobile application success prediction using machinelearning;a secure mobile application for speech to text conversion using artificial intelligence techniques;a comparative study of heart disease prediction using machinelearning;method for teaching medical imaging diagnosis, applying virtual reality techniques;heart disease prediction using machinelearning method – a review article;and web system for the management of clinical laboratory test, applied to health facilities in rural areas.
the classification accuracy of a multi-layer Perceptron Neural Networks depends on the selection of its parameters such the connection weights and biases. Generating an optimal value of these parameters requires a sui...
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Long-tail problem is one of the major challenges in distantly supervised relation extraction. Some recent works on the long-tail problem attempt to transfer knowledge from data-rich and semantically similar head class...
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the license plate angle is unfixed, the vehicle position is ununiform, and the picture is not sufficiently illuminated which leads to the decrease of license plate recognition accuracy. In order to improve the accurac...
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Aiming at the problems of low accuracy and slow recognition efficiency of the traditional traffic sign recognition algorithm in complex environment, a deep learning traffic sign recognition method based on YOLOv5 is p...
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Diabetes is a common disease, and due to the increasing incidence year by year. But most diabetics can not be easily detected in the early stage, since the symptoms are not obvious. the objective of this study is to p...
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Automatic Item Generation (AIG) is increasingly used to process large amounts of information and scale the demand for computerized testing. Recent work in Artificial Intelligence for AIG (aka Natural Question Generati...
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Object Detection is the task of detecting and localizing objects of importance in visual media. the rapid increase in the number of powerful end devices such as mobiles and surveillance cameras have to lead to increas...
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the proceedings contain 36 papers. the special focus in this conference is on softcomputing: theories and Applications. the topics include: Detection of Duplicate Question Pairs by Applying Proposed BoW, TF-IDF, and ...
ISBN:
(纸本)9789819720880
the proceedings contain 36 papers. the special focus in this conference is on softcomputing: theories and Applications. the topics include: Detection of Duplicate Question Pairs by Applying Proposed BoW, TF-IDF, and USE Approach;the Hand Glove Enabling Voice and Text Communication;advancing Rheumatoid Arthritis Care: Exploring Technological Breakthroughs and Future Directions;twitter Trolling Detection Using machinelearning;HMHDTML: Human Mental Health Detection Using Text and machinelearning Model;analyzing the Growth Profile of Brain Tumor with Caputo Fractional Operator via Sumudu Transform;multi-labelled Topic Classification of Research Articles Using machinelearning;security in Mobile Ad Hoc Networks: Impact of Attacks and Countermeasure Approaches;optimization of Vibrational Frequencies for Orthotropic Parallelogram Plates With Circular Variations in Tapering at Simply Supported Boundary;drowsiness Detection Using Adaboost Method and Haar Cascade Classifier to Improve Safety of Drivers;early Detection of Colorectal Cancer from Polyps Images Using Deep learning;motion Control of Underactuated Cart-Double-Pendulum System Via Fractional-Order Sliding Mode Controller;a Comparative Study of Pedestrian Detection Techniques Over the Last Decade;approximation Properties of Modified-Bernstein Operators Having Szász Weight Functions;fourier-Laguerre Expansion of Signals by Composite Summable Technique;a Multiple Linear Regression Model to Estimate Global, Direct and Diffuse Irradiance in Gurugram, India, Using Python;supervised machinelearning Approaches for Customer Reviews Sentiment Analysis;stock Price Prediction on Indian Share Market Using machinelearning;transparent Price Forecasting for Basic Food Commodities in a Developing Economy;Parallel Deep Convolution Neural Network (P-DCNN) Prediction of Paddy Crop Disease;Convolutional-LSTM Network for Emotion Recognition Using EEG Data in Valence-Arousal Dimension;Analysis of Multiply-Accumulate (MAC) Unit Using C
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