Springer, 2020. — 268 p. — (Studies in Computational Intelligence 850). — ISBN 978-3-030-26427-7.
Программирование, Искусственный интеллект, Передавая и Находят что-либо подобное/Распределяют Вычислению.
The purpose of the 20th IEEE/ACIS International Conference on Software Engineering, Artificial Intelligence, Networking and Parallel/Distributed Computing (SNPD 2019) held on July 8–10, 2019 in Toyama, Japan is aimed at bringing together researchers and scientists, businessmen and entrepreneurs, teachers and students to discuss the numerous fields of computer science, and to share ideas and information in a meaningful way. This publication captures 16 of the conference’s most promising papers, and we impatiently await the important contributions that we know these authors will bring to the field.
Generating Linear Temporal Logics Based on Property Specification Templates
Rule-Based BCG Matrix for Product Portfolio Analysis
New Cost-Consequence FMEA Model for Information Risk Management of Safe And Secure SCADA Systems
A Dynamic Privacy Preserving Authentication Protocol in VANET Using Social Network
A Negotiation Strategy Based on Compromising Degree
Software Developer Performance Measurement Based on Code Smells in Distributed Version Control System
Decision Support System for Choosing an Elective Course Using Naïve Bayes Classifier
Multilevel Video Access Control Mechanism Using Low Power Based Audio Watermarking
A Study of Persona Research on Domestic Music Applications
Analysis of Large-Scale Diabetic Retinopathy Datasets Using Texture and Blood Vessel Features
Combination of 1D CNN and 2D CNN to Evaluate the Attractiveness of Display Image Advertisement and CTR Prediction
Functional Reactive EDSL with Asynchronous Execution for Resource-Constrained Embedded Systems
Adaptive Midpoint Relay Selection: Enhancing Throughput in D2D Communications
Collaborative SCM System for Sustainability in the Manufacturing Supply Chain
A Study on the Effect of Cultural Capital on the Innovative Behavior
Evaluation of Technology Transfer Performance in Technology-Based Firms