Dergiler / Academic Platform Journal of Engineering and Smart Systems

Academic Platform Journal of Engineering and Smart Systems( APJESS ) - by Academic Perspektif Derneği is an international peer-reviewed online open access journal published in English with a focus smart systems and artificial intelligence, which is published 3 times a year, in January, May, September. APJESS publishes original research and review articles by aiming at sharing technological innovations and newly updated academic research finding and serves researchers, academicians, government, and industry stakeholders all over the world who are interested in smartsystems and artificial intelligence, with particular emphasis on applications. DOI Prefix: 10.21541/ The journal aims to publish papers dealing with: • Knowledge Representation and Reasoning, • Data Mining & Data Science, • Supervised, Semi-Supervised and Unsupervised Learning, • Machine Learning and Neural Computing, • Evolutionary Computation, • Natural Language Processing, Internet of Things, Big Data • Fuzzy Systems, • Intelligent Information Processing, • AI Powered Robotic Systems, • Multi-agent Systems for Smart Systems Journal History The journal was published between 2013-2021 with the title of "Academic Platform - Journal of Engineering and Science" (e-ISSN: 2147-4575). It will be published under its new title "Academic Platform Journal of Engineering and Smart Systems" after 2022.

2023 · Cilt: 11 - Sayı: 1

MakaleYazarSayfa
An Integrated Fuzzy MCDM Method for the Evaluation of R&D ProjectsMehtap DURSUN, Melike LILIÇ1–10
Coding Program Selection Using Spherical Fuzzy Analytic Hierarchy and Pythagorean Fuzzy Analytic Hierarchy ProcessesSerap TEPE11–18
Forecasting The Impact of Vaccination on Daily Cases in Turkey for Covid-19Enes YILDIZ, Muhammed Mustafa KELEK, Fatih Onur HOCAOĞLU, Yüksel OĞUZ19–26
Cascade Proportional Derivative Controller For A Flexible Link Robot Manipulator Using The Bees AlgorithmMehmet Sefa GÜMÜŞ, Abdullah ÇAKAN, Mete KALYONCU27–34
Implementation of Fuzzy Linear Programming Approach for More Accurate Demand Forecasting in a Make-to-Stock CompanyÇağatay TEKE35–40