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Toplam kayıt 562, listelenen: 551-560
Investigation of Industrial Structure Performances in The Hatay and Gaziantep Provinces During the Türkiye Eearthquakes on February 6, 2023
(Elsevier, 2024)
The seismic events of magnitudes 7.7 and 7.6 that occurred in the Pazarcik and Elbistan districts of Kahramanmaras,
respectively, resulted in a disastrous aftermath characterized by a substantial loss of life, injuries
affecting ...
Detecting SQL Injection Attacks by Binary Gray Wolf Optimizer and Machine Learning Algorithms
(Springer, 2024)
SQL injection is one of the important security issues in web applications because it allows an attacker to interact with the
application’s database. SQL injection attacks can be detected using machine learning algorithms. ...
A Bi-Objective Traffic Signal Optimization Model for Mixed Traffic Concerning Pedestrian Delays
(Elsevier, 2024)
Urban traffic networks suffer in numerous ways from traffic congestion. Some of these adverse effects are increased travel times
of cars, buses, bicycle users, pedestrians etc., with the addition of excessive greenhouse ...
Explosive Behavior in COVID-19 and Policy Responses: Lessons Learned for Public Health Management
(Sage, 2024)
Since the first case of COVID-19 in Turkey, there has been a lingering question as elsewhere in the world: ‘‘When will or
should the government impose severe restrictions to protect public health?’’ From a public health ...
Criminal Responsibility and Profile of Turkish Firesetters with Schizophrenia
(Elsevier, 2024)
This study aimed to examine a subgroup of Turkish firesetters diagnosed with schizophrenia
spectrum disorders (SSD) for their motives, individual and offense-related characteristics and
courses of action, and their ...
Multi-objective Optimization Framework for Trade-Off Among Pedestrian Delays and Vehicular Emissions at Signal-Controlled Intersections
(Springer, 2024)
Traffic congestion has several adverse effects on urban traffic networks. Increased travel times of vehicles, with the addition
of excessive greenhouse emissions, can be listed as harmful effects. To address these issues, ...
Enhancing Resolution and Contrast in Fibre Bundle-Based Fluorescence Microscopy Using Generative Adversarial Network
(Wiley, 2024)
Fibre bundle (FB)-based endoscopes are indispensable in biology and medical
science due to their minimally invasive nature. However, resolution and contrast
for fluorescence imaging are limited due to characteristic ...
Comprehensive Assessment of PLGA/nHAp Combined with Hemp Oil Bionanocomposites: Revealing the in Vitro Behavior and Features
(Elsevier, 2024)
This study aims to develop PLGA/nHAp (poly (lactic-co-glycolic acid/ nano-hydroxyapatite)) bionanocomposites combined with industrial hemp oil (Ho) for use in bone tissue engineering applications. FT-IR, SEM, TGA-DSC, XRD, ...
Atomistic Origins of Compound Semiconductor Synthesis with Computational Neuromorphic Engineering
(IOP Science, 2024)
We propose the usage of multi-element bulk materials to mimic neural dynamics instead of
atomically thin materials via the modeling of group II–IV compound semiconductor growth
using vacancy defects and dopants by creating ...
Sahand: A Software Fault-Prediction Method Using Autoencoder Neural Network and K-Means Algorithm
(Springer, 2024)
Software is playing a growing role in many safety-critical applications, and software systems dependability is a major concern. Predicting faulty modules of software before the testing phase is one method for enhancing ...