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Toplam kayıt 230, listelenen: 191-200
Radar Placement Optimization Based on Adaptive Multi-Objective Meta-Heuristics
(Elsevier, 2024)
Airspace surveillance is a significant issue for many countries to control and manage their airspace. The
number of radars used and their coverage rate are the main issues to consider in this case. Therefore, this
paper ...
Şehirlerimiz ve Şehir Yaşamı
(Nasıl Bir Ekonomi Medya Haber Basın A.Ş., 2024)
Ülkemiz büyüyor, şehirlerimiz büyüyor. Cumhuriyetimizin ilk yılında, 1923’te, nüfusumuz 13.6 milyon idi ve bu nüfusun 1/3’ünden azı şehirlerde yaşıyordu. Oranlar bugün (2024) altüst olmuştur. Nüfusumuz 85 milyonu geçti ve ...
Load Estimation of Different Types of Domestic Users Using Machine Learning Methods and Optimal Battery Sizing
(IEEE, 2023)
gained ever-increasing importance as the world population grows, set to reach 10 billion by 2050. The urgency for sustainable and nature-friendly energy production, as well as efficient consumption, parallels the rising ...
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 ...
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 ...