Burcu Erkmen

Development and implementation of a non-zero suppression system for HGCAL back-end electronics

Journal of Instrumentation

Human Respiration and Motion Detection Based on Deep Learning and Signal Processing Techniques to Support Search and Rescue Teams

Applied Sciences

Ultra-Low Power and Low-Leakage Subthreshold CMOS Neural Circuit Design

Integrated Approaches in Resilient Hierarchical Load Forecasting via TCN and Optimal Valley Filling Based Demand Response Application

Applied Energy

Edge Computing and Robotic Applications in Modern Agriculture

IoT-Based Fire Detection: A Comparative Study of Machine Learning Techniques

Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi

Deep Long Short-Term Memory Networks for Asthma Disease Prediction from Respiratory Dataset Obtained from the PEEP Expiratory Occlusion

Detection and classification of human respiration under building debris model using VHF/UHF waves

Neural Computing and Applications

Posture Performance Analysis with Multiple Pressure Sensors

Orclever Proceedings of Research and Development

Investigation of temperature, humidity and force-sensitive sensors for future smart bed pads

Hardware - Software Co-Design Approach In Customizable Programmable Logic Based Neuromorphic System Design

Analog Image Processing Using Gaussian Based Filtering for Motion Detection Applications

Robust Tuning of PID Controller Using Differential Evolution Algorithm Based on FPGA

Capacity Loss Analysis Using Machine Learning Regression Algorithms

FPGA BASED RECONFIGURABLE IMPLEMENTATIONS OF SPIKING NEURAL NETWORKS: A MINI REVIEW

DergiPark (Istanbul University)

FPGA Simulation of Spiking Neuron Signals

2022 Innovations in Intelligent Systems and Applications Conference (ASYU)

FPGA BASED RECONFIGURABLE IMPLEMENTATIONS OF SPIKING NEURAL NETWORKS: A MINI REVIEW

DergiPark (Istanbul University)

FPGA-Based Wigner–Hough Transform System for Detection and Parameter Extraction of LPI Radar LFMCW Signals

IEEE Transactions on Instrumentation and Measurement

Advanced Lane Line Detection Using Heterogeneous Embedded Computing

2021 International Conference on INnovations in Intelligent SysTems and Applications (INISTA)

A Stochastic Computing Method For Generating Activation Functions in Multilayer Feedforward Neural Networks

Istanbul University - Journal of Electrical & Electronics Engineering