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Toplam kayıt 18, listelenen: 11-18
Antimicrobial peptide activity prediction using machine learning methods
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2023)
Antimicrobial peptides (AMPs) are considered as promising alternatives to conventional antibiotics in order to overcome the growing problems of antibiotic resistance. Computational prediction approaches receive an increasing ...
Image processing based analysis and quantification of micro biomaterials and cells for biochip
(Abdullah Gül Üniversitesi, Fen Bilimleri Enstitüsü, 2023)
Quantification of tumor cells is essential for early cancer detection and progression tracking. Multiple techniques have been devised to detect tumor cells. In addition to conventional laboratory instruments, several ...
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 ...
Ensemble Churn Prediction for Internet Service Provider with Machine Learning Techniques
(IEEE, 345 E 47TH ST, NEW YORK, NY 10017 USA, 2020)
With the developing technology in every fields, a competitive marketing environment has been arised In this competitive environment analyzing customer behavior has become vital In particular, the ability to easily change ...
AI-based fog and edge computing: A systematic review, taxonomy and future directions
(ELSEVIER, 2023)
Resource management in computing is a very challenging problem that involves making sequential decisions. Resource limitations, resource heterogeneity, dynamic and diverse nature of workload, and the unpredictability of ...
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 ...