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Toplam kayıt 7, listelenen: 1-7
A Hybrid Adaptive Neuro-Fuzzy Inference System (ANFIS) Approach for Professional Bloggers Classification
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2019)
Despite their small numbers, some users of the online social networks demonstrate the ability to influence others. Bloggers are one of such kind of users that through their ideas and opinions on different topics, influence ...
A review of on-device machine learning for IoT: An energy perspective
(ELSEVIER, 2024)
Recently, there has been a substantial interest in on-device Machine Learning (ML) models to provide intelligence for the Internet of Things (IoT) applications such as image classification, human activity recognition, ...
Data Mining Techniques in Direct Marketing on Imbalanced Data using Tomek Link Combined with Random Under-sampling
(Association for Computing Machinery, 2021)
Determining the potential customers is very important in direct marketing. Data mining techniques are one of the most important methods for companies to determine potential customers. However, since the number of potential ...
miRcorrNetPro: Unraveling Algorithmic Insights through Cross-Validation in Multi-Omics Integration for Comprehensive Data Analysis
(Institute of Electrical and Electronics Engineers Inc., 2023)
High throughput -omics technologies facilitate the
investigation of regulatory mechanisms of complex diseases.
Along this line, scientists develop promising tools and methods
to extend our understanding at the molecular ...
A Transfer Learning Application on the Reliability of Psychological Drugs' Comments
(Institute of Electrical and Electronics Engineers Inc., 2023)
As digitalization and the Internet stay emerging
concepts by gaining popularity, the accuracy of personal reviews/opinions will be a critical issue. This circumstance also
particularly applies to patients taking psychological ...
Hydroponic Agriculture with Machine Learning and Deep Learning Methods
(Gazi Mühendislik, 2023)
In the face of the rapidly increasing population of our world today, researchers have turned to studies that use existing resources more effectively and efficiently in addition to searching for new resources in order to ...
A Comparative Analysis of Passenger Flow Forecasting in Trams Using Machine Learning Algorithms
(Bitlis Eren Üniversitesi, 2024)
Forecasting tram passenger flow is an important part of the intelligent transportation system since it helps with resource allocation, network design, and frequency setting. Due to varying destinations and departure times, ...