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EISSN 2619-9831

INDEXED IN DOAJ INDEXED IN WEB OF SCIENCE AND SCOPUS

ELECTRICA

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HIGHLY CITED ARTICLES

The Adaptive Chaotic Symbiotic Organisms Search Algorithm Proposal for Optimal Reactive Power Dispatch Problem in Power Systems

By: Yalcin, E; Taplamacioglu, MC; Cam, E

Comparative Performance Analysis of Slime Mould Algorithm For Efficient Design of Proportional-Integral-Derivative Controller

By: Izci, D; Ekinci, S

Optimally Designed PID Controller for a DC-DC Buck Converter via a Hybrid Whale Optimization Algorithm with Simulated Annealing

By: Hekimoglu, B; Ekinci, S

Design and Implementation of A Batteryless Wireless Embedded System for IoT Applications

By: Yuksel, ME

Features of Wall-Mounted Luminaires with Different Types of Light Sources

By: Pekur, DV; Sorokin, VM; Nikolaenko, YE

Differential Chaos Shift Keying-Assisted Media-Based Modulation

By: Onal, B; Cogen, F; Aydin, E

Snubber Circuit Application for Power-Factor Correction Flyback LED Driver

By: Akin, B

LWE: An Energy-Efficient Lightweight Encryption Algorithm for Medical Sensors and IoT Devices

By: Toprak, S; Akbulut, A; Aydin, MA; Zaim, AH

Power Consumption Analysis of a Wi-Fi based IoT Device

By: Yuksel, ME

An Effective Method for Islanding Detection Based on Variational Mode Decomposition

By: Salimi, S; Koochaki, A

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The Role of Sports Participation in Hemispheric Dominance: Assessment by Electrodermal Activity Signals

Serhat ALADAĞ, Ayşegül GÜVEN, Nazan DOLU, Hatice ÖZBEK

(ELECTRICA 2017; 17: 3113-3119)

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LANGUAGE IDENTIFICATION BASED ON N-GRAM FEATURE EXTRACTION METHOD BY USING CLASSIFIERS

Şengül BAYRAK HAYTA, Hidayet TAKÇI, Mübariz EMİNLİ

(ELECTRICA 2013; 13: 1629-1639)

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WAVELET ANALYSIS FOR VIBRATION SIGNALS

Tayfun KAYNAŞ, Serhat ŞEKER

(ELECTRICA 2008; 8: 581-584)

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The Role of Sports Participation in Hemispheric Dominance: Assessment by Electrodermal Activity Signals

LANGUAGE IDENTIFICATION BASED ON N-GRAM FEATURE EXTRACTION METHOD BY USING CLASSIFIERS

WAVELET ANALYSIS FOR VIBRATION SIGNALS

THE PERFORMANCE ANALYSIS OF STFT-ANFIS CLASSIFICATION METHOD ON PULSED RADAR TARGET CATEGORIZATION

Detection of Alzheimer’s Dementia by Using Deep Time–Frequency Feature Extraction