Hande Alemdar

E-mail

alemdar@metu.edu.tr

Department

Department of Computer Engineering

ORCID

0000-0002-1397-2146

Scopus Author ID

35101325500

Web of Science Researcher ID

M-6009-2019

Api-TRACE: A system for honey bee tracking in a constrained environment to study bee learning process and the effect of lithium on learning Erdem, Babür; Ince, Ayben; SEVİN, SEDAT; Arslan, Okan Can; Gözen, Ayşe Gül; Giray, Tugrul; Alemdar, Hande (2026-02-01) Learning is an adaptive behavior that improves the performance of bees in foraging, dance communication, predator avoidance, and other tasks. Any deficiencies in learning could be detrimental to the long-term survival of t...
MindfulLIME: a stable solution for explanations of machine learning models with enhanced localization precision—a medical image case study Rahimiaghdam, Shakiba; Alemdar, Hande (2025-01-01) Ensuring transparency in machine learning decisions is critically important, especially in sensitive sectors such as healthcare, finance, and justice. Despite this, some popular explainable algorithms, such as Local Interp...
Adaptive Sector Shutdown for Base Stations Energy Saving: Implementation and Field Evaluation in Dense Urban Networks Aktas, Semih; Kranda, Yakup Tarik; Kefeli, Can; Cavdar, Cicek; Alemdar, Hande (2025-01-01) In this paper, we present a study on energy-saving techniques for mobile networks by focusing on sector shut down. We propose a novel algorithm called the Neighbour-Based Expert System Solution, which is an alternative to ...
Evaluating the quality of visual explanations on chest X-ray images for thorax diseases classification Rahimiaghdam, Shakiba; Alemdar, Hande (2024-01-01) Deep learning models are extensively used but often lack transparency due to their complex internal mechanics. To bridge this gap, the field of explainable AI (XAI) strives to make these models more interpretable. However,...
Effects of lithium on locomotor activity and circadian rhythm of honey bees ERDEM, BABÜR; Arslan, Okan Can; SEVİN, SEDAT; Gözen, Ayşe Gül; Agosto-Rivera, Jose L.; Giray, Tugrul; Alemdar, Hande (2023-12-01) Lithium has been considered a potential acaricidal agent against the honey bee (Apis mellifera) parasite Varroa. It is known that lithium suppresses elevated activity and regulates circadian rhythms and light response when...
A Minimally Invasive Approach Towards "Ecosystem Hacking" With Honeybees Stefanec, Martin; Hofstadler, Daniel N.; Krajnik, Tomas; Turgut, Ali Emre; Alemdar, Hande; Lennox, Barry; Şahin, Erol; Arvin, Farshad; Schmickl, Thomas (2022-04-01) Honey bees live in colonies of thousands of individuals, that not only need to collaborate with each other but also to interact intensively with their ecosystem. A small group of robots operating in a honey bee colony and ...
Towards 5G and beyond radio link diagnosis: Radio link failure prediction by using historical weather, link parameters Aktaş, Semih; Alemdar, Hande; Ergüt, Salih (2022-04-01) Weather-related phenomena such as clouds, rain, snow affect the performance of radio links. To reduce the adverse effects of radio link failures’ on the user experience, mobile operators require intelligent monitoring syst...
A deep learning approach for the transonic flow field predictions around airfoils Duru, Cihat; Alemdar, Hande; Baran, Özgür Uğraş (2022-01-01) Learning from data offers new opportunities for developing computational methods in research fields, such as fluid dynamics, which constantly accumulate a large amount of data. This study presents a deep learning approach ...
Prediction of the Ball Location on the 2D Plane in Football Using Optical Tracking Data Amirli, Anar; Alemdar, Hande (2022-01-01) Tracking the ball location is essential for automated game analysis in complex ball-centered team sports such as football. However, it has always been a challenge for image processing-based techniques because the players a...
Base Station Power Optimization for Green Networks Using Reinforcement Learning Aktaş, Semih; Alemdar, Hande (2021-08-31) The next generation mobile networks have to provide high data rates, extremely low latency, and support high connection density. To meet these requirements, the number of base stations will have to increase and this increa...

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