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Experimental demonstration of an FPGA-based outdoor VLC broadcasting system
(IEEE, 2023)
Visible light communication (VLC) uses light-emitting diodes (LEDs) to transmit data by turning them on and off at very high speeds, too fast for the human eye to perceive. In outdoor environments, LED-based streetlights ...
Estimating roadway horizontal alignment from geographic information systems data: An artificial neural network–based approach
(ASCE, 2023-11-01)
Estimating horizontal alignment using discretized roadway data points, such as GIS maps, is complicated because the number of curved and tangent segments and their start and end points are not known a priori. This study ...
Performance analysis of meta-learning based bayesian deep kernel transfer methods for regression tasks
(IEEE, 2023)
Meta-learning aims to apply existing models on new tasks where the goal is 'learning to learn' so that learning from a limited amount of labeled data or learning in a short amount of time is possible. Deep Kernel Transfer ...
Comparative study of credit risk evaluation for unbalanced datasets using deep learning classifiers
(IEEE, 2023)
Credit risk assessment deals with calculating the risk of a loan not being repaid. For this reason, a lot of research effort is directed at credit risk analysis. In this study, machine learning models such as Light ...
An inverse synthesis method for the determination of effective mechanical properties for additively manufactured aperiodic structures with finite thickness
(IEEE, 2023)
The production of thin-walled structures via Additive Manufacturing is common for thermo-mechanical applications such as heat exchanger cores. However, accurate and efficient models predicting the effective material response ...
Swin transformer based siamese network for thermal and optical image registration
(IEEE, 2023)
The process of multi-modal image registration is fundamental in remote sensing and visual navigation applications. However, existing image registration methods that are designed for single modality images do not provide ...
Coevolution index: A metric for tracking evolutionary coupling
(IEEE, 2023)
This paper proposes a new metric, namely the coevolution index (CEI), for measuring the relative evolutionary coupling of modules of a software system. CEI is inspired by the h-index, which is a popular metric used for ...
CheckMate: English grammatical error correction for native Turkish speakers
(IEEE, 2023)
The covid-19 outbreak left many countries have no choice but turn to online education. Turkish students, who were among those who were affected, faced difficulties in improving their English as the opportunity to have ...
Deep multi-object symbol learning with self-attention based predictors
(IEEE, 2023)
This paper proposes an architecture that can learn symbolic representations from the continuous sensorimotor experience of a robot interacting with a varying number of objects. Unlike previous works, this work aims to ...
A longitudinal case study on Nexus transformation: Impact on productivity, quality, and motivation
(Wiley, 2023-09)
There have been success stories reported regarding the adoption of agile software development methods in the industry. There also exist observations on their limitations. One of these limitations is scalability since agile ...
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