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Statistical Analysis of Wastewater Constituents for A Touristic City: Case Study of Antalya, Turkey
(Institutul Politehnic din Iasi, 2022)
Nowadays, environmental degradation is increasing as a result of rising population, urbanization, and consumption. Within the
scope of the study, four wastewater treatment plants (WWTPs) located in Antalya, which is on ...
A Novel Intelligent Traffic Recovery Model for Emergency Vehicles Based on Context-aware Reinforcement Learning
(Elsevier, 2023)
Management of traffic emergencies has become very popular in recent years. However,
timely response to emergencies and recovering from an emergency is an important prob-
lem in itself. The strategies in the current ...
Hardware Acceleration of FIR Filter Implementation on ZYNQ SoC
(IEEE, 2022)
Finite impulse response (FIR) filters are widely used
in electronic design applications such as digital signal processing,
image processing and digital communications. The demand for
high performance is increasing ...
A Comparison of Different Loss Computations in Siamese Networks for Authorship Verification
(Springer, 2023)
In this study, we consider the author verification problem as a binary
classification problem where the aim is to identify whether the two inputs belong to
the same author or not. For this task, we have used several ...
PSCSO: Enhanced Sand Cat Swarm Optimization Inspired by the Political System to Solve Complex Problems
(Elsevier, 2023)
The Sand Cat Swarm Optimization (SCSO) algorithm is a recently introduced metaheuristic with balanced
behavior in the exploration and exploitation phases. However, it is not fast in convergence and may not be
successful ...
Performance‑Enhanced S‑Shaped Slotted Patch Antenna for X Band/Ku Band Applications
(Springer, 2023)
Design and performance enhancement of an S-shaped antenna with two additional slits and
slots is presented. Initially, a parametric study was performed with two commonly used
dielectric materials. First, FR4 with ɛr=4.3 ...
Neural Architecture Search Using Metaheuristics for Automated Cell Segmentation
(Springer, 2023)
Deep neural networks give successful results for segmentation of medical images. The need for optimizing many hyper-parameters
presents itself as a significant limitation hampering the effectiveness of
deep neural network ...
Release Kinetics Modelling and in Vivo-Vitro, Shelf-Life Study of Resveratrol Added Composite Transdermal Scaffolds
(Elsevier, 2023)
In this article, the suitability of composite transdermal biomaterial for wound dressing applications is discussed.
Bioactive, antioxidant Fucoidan and Chitosan biomaterials were doped into polyvinyl alcohol/β-tricalciu ...
A Methodology to Consider Explicitly Emissions in Dynamic User Equilibrium Assignment
(Springer, 2022)
This work presents a methodology to obtain Dynamic User Equilibrium (DUE) over a road network considering the exhausted gas effect of motorized
traffic. On purpose, three emission models are integrated to the traffic ...
Sensitivity Analysis for a Cooperative Adaptive Cruise Control Car Following Model: Preliminary Findings
(Springer, 2022)
Microscopic traffic simulations are powerful tools to evaluate transportation systems. For a simulation model to represent reality at a satisfactory
level, models require calibration. Calibration implies that inputs to ...