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Author ICACDS (Conference) (4th : 2020 : Valletta, Malta)

Title Advances in computing and data sciences : 4th International Conference, ICACDS 2020, Valletta, Malta, April 24-25, 2020, Revised selected papers / Mayank Singh, P. K. Gupta, Vipin Tyagi, Jan Flusser, Tuncer Ören, Gianluca Valentino (eds.)
Published Singapore : Springer, 2020

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Description 1 online resource
Series Communications in computer and information science, 1865-0929 ; 1244
Communications in computer and information science ; 1244.
Contents [I]. Advanced computing: A computer vision based approach for the analysis of acuteness of garbage -- The moderating effect of demographic factors acceptance virtual reality learning in developing countries in the Middle East -- Table tennis forehand and backhand stroke recognition based on neural network -- An effective vision based framework for the identification of tuberculosis in chest X-ray images -- User assisted clustering based key frame extraction -- A threat towards the neonatal mortality -- Digital marketing effectiveness using incrementality -- Explainable artificial intelligence for falls prediction -- Enhanced UML use case meta-model semantics from cognitive and utility perspectives -- The impact of mobile augmented reality design implementation on user engagement -- Intelligent mobile edge computing : a deep learning based approach -- Analysis of clustering algorithms in machine learning for healthcare data -- Securing mobile agents migration using tree parity machine with new tiny encryption algorithm -- An approach to waste segregation and management using convolutional neural networks -- Open source intelligence initiating efficient investigation and reliable web searching -- A neural network based hybrid model for depression detection in Twitter -- Unleashing the VEP tirplet count of virtually created 3D Bangla alphabet to integrate with augmented reality application -- A hybrid machine learning framework for prediction of software effect at the initial phase of software development -- Chronic disease prediction using deep learning -- A deep learning based method to discriminate between photorealistic computer generated images and photographic images -- Load balancing algorithm in cloud computing using mutatino based PSO algorithm -- Statistical model for qualitative grading of milled rice -- Measuring the effectiveness of software code review comments
Proposed model for feature extraction for vehicle detection -- Analysis of feature selection methods for P2P botnet detection -- ELM-MVD : an extreme learning machine trained model for malware variants detection -- Real-time biometric system for security and surveillance using face recognition -- An effective block-chain based authentication technique for cloud based IoT -- Early detection of autism spectrum disorder in children using supervised machine learning -- Auto segmentation of lung in non-small cell lung cancer using deep convolution neural network -- Multiwavelet based unmanned aerial vehicle thermal image fusion for surveillance and target location -- Investigating movement detection in unedited camera footage -- Time series forecasting using machine learning -- Improving packet queues using selective epidemic routing protocol in opportunistic networks (SERPO) -- Heart disease prediction system using classification algorithms
[II]. Data sciences: Graph database and relational database performance comparison on a transportation network -- Optimizing creative allocations in digital marketing -- Big data analytics for customer relationship management : a systematic review and research agenda -- Agricultural field analysis using satellite surface reflectance data and machine learning technique -- Sponsored data connectivity at the network edge -- Dynamic bidding with contextual bid decision trees in digital advertisement -- MOOC performance prediction by deep learning from raw clickstream data -- UDHR : unified decentralized health repository -- Mining massive time series data : with dimensionality reduction techniques -- Comparative analysis of data mining techniques to predict heart disease for diabetic patients
Summary This book constitutes the post-conference proceedings of the 4th International Conference on Advances in Computing and Data Sciences, ICACDS 2020, held in Valletta, Malta, in April 2020.* The 46 full papers were carefully reviewed and selected from 354 submissions. The papers are centered around topics like advanced computing, data sciences, distributed systems organizing principles, development frameworks and environments, software verification and validation, computational complexity and cryptography, machine learning theory, database theory, probabilistic representations. * The conference was held virtually due to the COVID-19 pandemic
Notes Includes author index
Subject Computer science -- Congresses
Artificial intelligence -- Congresses
Internet of things -- Congresses
Computer networking & communications.
Machine learning.
Society & social sciences.
Educational equipment & technology, computer-aided learning (Calif.)
Algorithms & data structures.
Computers -- Online Services -- General.
Computers -- Intelligence (AI) & Semantics.
Computers -- Data Processing.
Computers -- Networking -- General.
Education -- Computers & Technology.
Computers -- Information Theory.
Artificial intelligence
Computer science
Internet of things
Genre/Form Electronic books
proceedings (reports)
Conference papers and proceedings
Conference papers and proceedings.
Actes de congrès.
Form Electronic book
Author Singh, Mayank, 1982-
Gupta, P. K., 1976-
Tyagi, Vipin.
Flusser, Jan.
Ören, Tuncer I.
Valentino, Gianluca
ISBN 9789811566349
9811566348
Other Titles ICACDS 2020