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This article introduces a novel heuristic for Task and Motion Planning (TAMP) named Interpretable Responsibility Sharing (IRS), which enhances planning efficiency in domestic robots by leveraging human-constructed environments and inherent biases. Ut
Externí odkaz:
http://arxiv.org/abs/2409.05586
In this paper, we examine the energy efficiency (EE) of a base station (BS) with multiple antennas. We use a state-of-the-art power consumption model, taking into account the passive and active parts of the transceiver circuitry, including the effect
Externí odkaz:
http://arxiv.org/abs/2409.03436
Autor:
Sayin, Irem, Gursoy, Rana, Cicek, Buse, Mert, Yunus Emre, Ozturk, Fatih, Pamukcu, Taha Emre, Sevimli, Ceylin Deniz, Uvet, Huseyin
This study develops a Convolutional Neural Network (CNN) model for detecting myocardial infarction (MI) from Electrocardiogram (ECG) images. The model, built using the InceptionV3 architecture and optimized through transfer learning, was trained usin
Externí odkaz:
http://arxiv.org/abs/2408.16800
Autor:
Yagan, M. Yaser, Kayraklik, Sefa, Kesir, Samed, Sumen, Gizem, Hokelek, Ibrahim, Basaran, Mehmet, Alexandropoulos, George C., Basar, Ertugrul, Cavdar, Cicek, Arslan, Huseyin, Gorcin, Ali
Extreme natural phenomena are occurring more frequently everyday in the world, challenging, among others, the infrastructure of communication networks. For instance, the devastating earthquakes in Turkiye in early 2023 showcased that, although commun
Externí odkaz:
http://arxiv.org/abs/2408.08609
In the design of a metasurface-assisted system for indoor environments, it is essential to take into account not only the performance gains and coverage extension provided by the metasurface but also the operating costs brought by its reconfigurabili
Externí odkaz:
http://arxiv.org/abs/2407.15729
This paper explores the evolution of Radio Access Network (RAN) architectures and their integration into Non-Terrestrial Networks (NTN) to address escalating mobile traffic demands. Focusing on Low Earth Orbit (LEO) satellites as key components of NT
Externí odkaz:
http://arxiv.org/abs/2404.09186
This study introduces the Hybrid Sequential Manipulation Planner (H-MaP), a novel approach that iteratively does motion planning using contact points and waypoints for complex sequential manipulation tasks in robotics. Combining optimization-based me
Externí odkaz:
http://arxiv.org/abs/2403.10436
Publikováno v:
Journal of the Serbian Chemical Society, Vol 83, Iss 9, Pp 1059-1069 (2018)
This study gives an overview of the ability of aminomethylphosphonic acid containing chelating resin for the removal of lithium (Li+) from water. Studies were performed under various conditions such as resin dose, initial Li+ concentration, soluti
Externí odkaz:
https://doaj.org/article/20c3f9c3d8004653ba78977e2f3f62ff
We develop a multi-agent reinforcement learning (MARL) algorithm to minimize the total energy consumption of multiple massive MIMO (multiple-input multiple-output) base stations (BSs) in a multi-cell network while preserving the overall quality-of-se
Externí odkaz:
http://arxiv.org/abs/2402.03204
In this paper, we investigate how metasurfaces can be deployed to deliver high data rates in a millimeter-wave (mmWave) indoor dense space with many blocking objects. These surfaces can either be static metasurfaces (SMSs) that reflect with fixed pha
Externí odkaz:
http://arxiv.org/abs/2402.00771