Yolobench: benchmarking efficient object detectors on embedded systems

I Lazarevich, M Grimaldi, R Kumar… - Proceedings of the …, 2023 - openaccess.thecvf.com
We present YOLOBench, a benchmark comprised of 550+ YOLO-based object detection
models on 4 different datasets and 4 different embedded hardware platforms (x86 CPU …

Wetter California projected by CMIP6 models with observational constraints under a high GHG emission scenario

F Li, Q Zhu, WJ Riley, K Yuan, H Wu, Z Gui - Earth's Future, 2022 - Wiley Online Library
As the world's fifth‐largest economy entity, California (CA) is vulnerable to climate changes
especially the magnitude of winter (wet season) precipitation that is closely linked to …

Systematic enumeration of definitive screening designs

ED Schoen, PT Eendebak, AR Vazquez… - Statistics and Computing, 2022 - Springer
Conference designs are n× k matrices, k≤ n, with orthogonal columns, one zero in each
column, at most one zero in each row, and-1 and+ 1 entries elsewhere. Conference designs …

[HTML][HTML] Inferring metabolic objectives and trade-offs in single cells during embryogenesis

DW Lin, L Zhang, J Zhang, S Chandrasekaran - Cell Systems, 2025 - cell.com
While proliferating cells optimize their metabolism to produce biomass, the metabolic
objectives of cells that perform non-proliferative tasks are unclear. The opposing …

Multi-objective Bayesian optimization with heuristic objectives for biomedical and molecular data analysis workflows

A Selega, KR Campbell - bioRxiv, 2022 - biorxiv.org
Many practical applications require optimization of multiple, computationally expensive, and
possibly competing objectives that are well-suited for multi-objective Bayesian optimization …

Controlization Schemes Based on Orthogonal Arrays

A Chowdhury, E Berg, P Wocjan - arXiv preprint arXiv:2407.09382, 2024 - arxiv.org
Realizing controlled operations is fundamental to the design and execution of quantum
algorithms. In quantum simulation and learning of quantum many-body systems, an …

On the importance of initial solutions selection in fault injection

M Krček, D Fronte, S Picek - 2021 Workshop on Fault Detection …, 2021 - ieeexplore.ieee.org
Fault injection attacks require the adversary to select suitable parameters for the attack. In
this work, we consider laser fault injection and parameters like the location of the laser shot …

Orthogonal array sampling for Monte Carlo rendering

W Jarosz, A Enayet, A Kensler… - Computer Graphics …, 2019 - Wiley Online Library
We generalize N‐rooks, jittered, and (correlated) multi‐jittered sampling to higher
dimensions by importing and improving upon a class of techniques called orthogonal arrays …

A numerical study on the thrust and interaction of a three-sail wind-assisted propulsion system

Z Chen, W Cai, Q Zeng - International …, 2022 - asmedigitalcollection.asme.org
Wind-assisted propulsion is deemed to be a potential way to effectively reduce CO2
emissions in ship navigation. Some studies are discussing the characteristics of different sail …

Multicriteria Approach for Design Optimization of Lightweight Piezoelectric Energy Harvesters Subjected to Stress Constraints

G Foutsitzi, C Gogos, N Antoniadis, A Magklaras - Information, 2022 - mdpi.com
In this work a multicriteria optimization approach to minimize weight and maximize power
output in piezoelectric energy harvesting systems for aerospace applications is studied. The …