Hande Alemdar

Orcid: 0000-0002-1397-2146

According to our database1, Hande Alemdar authored at least 31 papers between 2010 and 2024.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

Legend:

Book 
In proceedings 
Article 
PhD thesis 
Dataset
Other 

Links

Online presence:

On csauthors.net:

Bibliography

2024
Autonomous tracking of honey bee behaviors over long-term periods with cooperating robots.
Sci. Robotics, 2024

Evaluating the quality of visual explanations on chest X-ray images for thorax diseases classification.
Neural Comput. Appl., 2024

2023
COVID-19 forecasting using shifted Gaussian Mixture Model with similarity-based estimation.
Expert Syst. Appl., 2023

2022
A Minimally Invasive Approach Towards "Ecosystem Hacking" With Honeybees.
Frontiers Robotics AI, 2022

Towards 5G and beyond radio link diagnosis: Radio link failure prediction by using historical weather, link parameters.
Comput. Electr. Eng., 2022

2021
Obstruction-Aware Signal-Loss-Tolerant Indoor Positioning Using Bluetooth Low Energy.
Sensors, 2021

CNNFOIL: convolutional encoder decoder modeling for pressure fields around airfoils.
Neural Comput. Appl., 2021

2020
Covert Channel Detection Using Machine Learning.
Proceedings of the 28th Signal Processing and Communications Applications Conference, 2020

2019
How do soccer teams coordinate consecutive passes? A visual analytics system for analysing the complexity of passing sequences using soccer flow motifs.
Comput. Graph., 2019

DroPPPP: A P4 Approach to Mitigating DoS Attacks in SDN.
Proceedings of the Information Security Applications - 20th International Conference, 2019

Multi-Connectivity Enabled User Association.
Proceedings of the 30th IEEE Annual International Symposium on Personal, 2019

2018
Predicting soccer events from optical tracking data.
Proceedings of the 26th Signal Processing and Communications Applications Conference, 2018

2017
Efficient and Versatile FPGA Acceleration of Support Counting for Stream Mining of Sequences and Frequent Itemsets.
ACM Trans. Reconfigurable Technol. Syst., 2017

Active learning with uncertainty sampling for large scale activity recognition in smart homes.
J. Ambient Intell. Smart Environ., 2017

Multi-resident activity tracking and recognition in smart environments.
J. Ambient Intell. Humaniz. Comput., 2017

Ternary neural networks for resource-efficient AI applications.
Proceedings of the 2017 International Joint Conference on Neural Networks, 2017

Scalable high-performance architecture for convolutional ternary neural networks on FPGA.
Proceedings of the 27th International Conference on Field Programmable Logic and Applications, 2017

2016
Ternary Neural Networks for Resource-Efficient AI Applications.
CoRR, 2016

2015
Human activity recognition with wireless sensor networks using machine learning (Kablosuz algılayıcı ağlar ile makıne öğrenmesi kullanarak insan aktivitesi anlama)
PhD thesis, 2015

Daily life behaviour monitoring for health assessment using machine learning: bridging the gap between domains.
Pers. Ubiquitous Comput., 2015

Sleep quality monitoring with ambient and mobile sensing.
Proceedings of the 2015 23nd Signal Processing and Communications Applications Conference (SIU), 2015

2014
Multimodal Wireless Sensor Network-Based Ambient Assisted Living in Real Homes with Multiple Residents.
Sensors, 2014

A Unified Model for Human Behavior Modeling Using a Hierarchy with a Variable Number of States.
Proceedings of the 22nd International Conference on Pattern Recognition, 2014

Multi-Resident Human Behaviour Identification in Ambient Assisted Living Environments.
Proceedings of the 16th International Conference on Multimodal Interaction, 2014

2013
ARAS human activity datasets in multiple homes with multiple residents.
Proceedings of the 7th International Conference on Pervasive Computing Technologies for Healthcare and Workshops, 2013

2012
A smart couch design for improving the quality of life of the patients with cognitive diseases.
Proceedings of the 20th Signal Processing and Communications Applications Conference, 2012

2011
Effective Performance Metrics for Evaluating Activity Recognition Methods.
Proceedings of the ARCS 2011, 2011

Using Active Learning to Allow Activity Recognition on a Large Scale.
Proceedings of the Ambient Intelligence, 2011

2010
Wireless Healthcare Monitoring with RFID-Enhanced Video Sensor Networks.
Int. J. Distributed Sens. Networks, 2010

Wireless sensor networks for healthcare: A survey.
Comput. Networks, 2010

Multi-modal fall detection within the WeCare framework.
Proceedings of the 9th International Conference on Information Processing in Sensor Networks, 2010


  Loading...