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Implementation of software-defined adaptive DCO-OFDM for vehicular visible light communication
(IEEE, 2023)
With its high data rates and electromagnetic interference-free operation capability, visible light communication (VLC), has emerged as a potential candidate for 6G and beyond networks. In this work, we present the preliminary ...
Maintaining connectivity for multi-UAV multi-target search using reinforcement learning
(Association for Computing Machinery, Inc, 2023-10-30)
We propose a dynamic path planner that uses a multi-Agent reinforcement learning (MARL) model with novel reward functions for multi-drone search and rescue (SAR) missions. We design a mission environment where a multi-drone ...
Implementing artificial neural network-based gap acceptance models in the simulation model of a traffic circle in SUMO
(Sage, 2023-12)
The impact of various operational and design alternatives at roundabouts and traffic circles can be evaluated using microscopic simulation tools. Most microscopic simulation software utilizes default underlying models for ...
NFT primary sale price and secondary sale prediction via deep learning
(Association for Computing Machinery, Inc, 2023-11-27)
Non Fungible Tokens (NFTs) are blockchain-based unique digital assets defining ownership deeds. They can characterize various different objects such as collectible, art, and in-game items. In general, NFTs are encoded by ...
IEEE 802.11BB reference channel models for light communications
(IEEE, 2023-12-01)
Increasing industrial attention to visible light communications (VLC) technology led the IEEE 802.11 to establish the task group 802.11bb 'Light Communications' (LC) for the development of a VLC standard. As a part of the ...
Technical note: Application of an optical hydrophone to ionoacoustic range detection in a tissue-mimicking agar phantom
(Wiley, 2023-12)
Background: Ionoacoustics is a promising approach to reduce the range uncertainty in proton therapy. A miniature-sized optical hydrophone (OH) was used as a measuring device to detect weak ionoacoustic signals with a high ...
Deterministic neural illumination mapping for efficient auto-white balance correction
(IEEE, 2023)
Auto-white balance (AWB) correction is a critical operation in image signal processors for accurate and consistent color correction across various illumination scenarios. This paper presents a novel and efficient AWB ...
Post-disaster damage assessment using drones in a remote communication setting
(Springer, 2023)
After a disaster event, obtaining fast and accurate information about the damaged built-in structure is crucial for planning life-saving response operations. Unmanned aerial vehicles (UAVs), known otherwise as drones, are ...
Turkish cashier problem with time windows and its solution by Migrating bird optimization algorithm
(IEEE, 2023)
A new application of the traveling salesman problem referred to as the Turkish cashier problem (TCP) was recently introduced in literature. The problem revolved around a cashier that must visit several locations and return ...
Developmental scaffolding with large language models
(IEEE, 2023)
Exploration and self-observation are key mechanisms of infant sensorimotor development. These processes are further guided by parental scaffolding to accelerate skill and knowledge acquisition. In developmental robotics, ...
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