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A Monte Carlo random walk-based methodology for calculation of sensitivity coefficients in inverse radiant boundary design problem
(Begell House Inc., 2023)
This study presents a methodology for the solution of inverse boundary design problems involving transient heat conduction in solid objects imposed by radiant boundary condition. The inverse solution aims to find the ...
Metrics for evaluating explainable recommender systems
(Springer, 2023)
Recommender systems aim to support their users by reducing information overload so that they can make better decisions. Recommender systems must be transparent, so users can form mental models about the system’s goals, ...
Analysis of communication distance and energy harvesting for vehicular VLC using commercial taillights
(IEEE, 2023)
This paper presents an investigation into the communication range and energy harvesting capabilities of a vehicle-to-vehicle (V2V) visible light communication (VLC) system that utilizes commercial taillights (TLs) as ...
Single photon detection with silicon-based avalanche photodiode
(SPIE, 2023)
Thanks to the significant advances in quantum technologies, the use of single photon detectors (SPDs) is becoming increasingly common. As a result of the excellent photodetection performance of these detectors, they have ...
Capacity planning for forming sustainable and cost-effective nanogrids
(IEEE, 2023)
This paper proposes a new strategy for nanogrid capacity planning as a bilevel programming mathematical model with look-ahead logic. The first program, the Planner, is a linear program that solves for the optimal size of ...
Bimanual rope manipulation skill synthesis through context dependent correction policy learning from human demonstration
(IEEE, 2023)
Learning from demonstration (LfD) with behavior cloning is attractive for its simplicity; however, compounding errors in long and complex skills can be a hindrance. Considering a target skill as a sequence of motor primitives ...
Optimizing distributed generation sizing and siting using particle swarm optimization: A comparative study
(IEEE, 2023)
In recent years, distributed generation (DG) has become increasingly popular as a means of mitigating the impact of climate change and ensuring a reliable and resilient power supply. To optimize the use of DG, it is essential ...
Using different loss functions with YOLACT++ for real-time instance segmentation
(IEEE, 2023)
In this paper, we study and analyze the performance of various loss functions on a recently proposed real-time instance segmentation algorithm, YOLACT++. In particular, we study the loss functions, including Huber Loss, ...
Solver agent: Towards emotional and opponent-aware agent for human-robot negotiation
(International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2021)
Negotiation is one of the crucial processes for resolving conflicts between parties. In automated negotiation, agent designers mostly take opponent's offers and the remaining time into account while designing their strategies. ...
Explain to me: Towards understanding privacy decisions
(International Foundation for Autonomous Agents and Multiagent Systems (IFAAMAS), 2023)
Privacy assistants help users manage their privacy online. Their tasks could vary from detecting privacy violations to recommending sharing actions for content that the user intends to share. Recent work on these tasks are ...
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