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Biological plausible algorithm for seizure detection: Toward AI-enabled electroceuticals at the edge

JOURNAL ARTICLE published 1 June 2024 in APL Machine Learning

Research funded by The University of Sydney (Sydney Research Accelerator (SOAR) Prize) | Microsoft (Microsoft AI for Accessibility)

Authors: Luis Fernando Herbozo Contreras | Zhaojing Huang | Leping Yu | Armin Nikpour | Omid Kavehei

VERI-D: A new dataset and method for multi-camera vehicle re-identification of damaged cars under varying lighting conditions

JOURNAL ARTICLE published 1 March 2024 in APL Machine Learning

Authors: Shao Liu | Sos S. Agaian

Stoichiometric growth of SrTiO3 films via Bayesian optimization with adaptive prior mean

JOURNAL ARTICLE published 1 June 2023 in APL Machine Learning

Authors: Yuki K. Wakabayashi | Takuma Otsuka | Yoshiharu Krockenberger | Hiroshi Sawada | Yoshitaka Taniyasu | Hideki Yamamoto

DyFraNet: Forecasting and backcasting dynamic fracture mechanics in space and time using a 2D-to-3D deep neural network

JOURNAL ARTICLE published 1 June 2023 in APL Machine Learning

Research funded by ONR (N000141612333,N000141912375) | ARO (W911NF1920098) | AFOPSR (FA9550-15-1-0514)

Authors: Yu-Chuan Hsu | Markus J. Buehler

Intelligent performance inference: A graph neural network approach to modeling maximum achievable throughput in optical networks

JOURNAL ARTICLE published 1 June 2023 in APL Machine Learning

Research funded by EPSRC (EP/R035342/1)

Authors: Robin Matzner | Ruijie Luo | Georgios Zervas | Polina Bayvel

Random forests for detecting weak signals and extracting physical information: A case study of magnetic navigation

JOURNAL ARTICLE published 1 March 2024 in APL Machine Learning

Research funded by Air Force Office of Scientific Research (FA9550-21-1-0438)

Authors: Mohammadamin Moradi | Zheng-Meng Zhai | Aaron Nielsen | Ying-Cheng Lai

Unclonable photonic keys hardened against machine learning attacks

JOURNAL ARTICLE published 1 January 2020 in APL Photonics

Research funded by National Science Foundation (EFMA-1641094,ECCS-1521415) | Intelligence Advanced Research Projects Activity (2018-18041100006) | Office of the Provost, Johns Hopkins University (Catalyst Award)

Authors: Bryan T. Bosworth | Iskandar A. Atakhodjaev | Michael R. Kossey | Brian C. Grubel | Daniel S. Vresilovic | Jasper R. Stroud | Neil MacFarlane | Jesús Villalba | Najim Dehak | A. Brinton Cooper | Mark A. Foster | Amy C. Foster

Attention hybrid variational net for accelerated MRI reconstruction

JOURNAL ARTICLE published 1 December 2023 in APL Machine Learning

Authors: Guoyao Shen | Boran Hao | Mengyu Li | Chad W. Farris | Ioannis Ch. Paschalidis | Stephan W. Anderson | Xin Zhang

Accelerating defect predictions in semiconductors using graph neural networks

JOURNAL ARTICLE published 1 March 2024 in APL Machine Learning

Research funded by School of Materials Engineering, Purdue University (F.10023800.05.002) | Argonne National Laboratory (21090590 and 22057223)

Authors: Md Habibur Rahman | Prince Gollapalli | Panayotis Manganaris | Satyesh Kumar Yadav | Ghanshyam Pilania | Brian DeCost | Kamal Choudhary | Arun Mannodi-Kanakkithodi

3D CNN and grad-CAM based visualization for predicting generation of dislocation clusters in multicrystalline silicon

JOURNAL ARTICLE published 1 September 2023 in APL Machine Learning

Research funded by Core Research for Evolutional Science and Technology (JPMJCR17J1)

Authors: Kyoka Hara | Takuto Kojima | Kentaro Kutsukake | Hiroaki Kudo | Noritaka Usami

Quantifying the impact of uninformative features on the performance of supervised classification and dimensionality reduction algorithms

JOURNAL ARTICLE published 1 December 2023 in APL Machine Learning

Research funded by National Science Foundation (1937123)

Authors: Weihua Lei | Cleber Zanchettin | Zoey E. Ho | Luís A. Nunes Amaral

Machine learning investigation of high-k metal gate processes for dynamic random access memory peripheral transistor

JOURNAL ARTICLE published 1 February 2024 in APL Materials

Research funded by Samsung Electronics Co. (IO201211-08077-01) | Korea Institute for Advancement of Technology (P0008458) | National Research Foundation of Korea (2021R1A4A1029780)

Authors: Namyong Kwon | JoonHo Bang | Won Ju Sung | Jung Hoon Han | Dongin Lee | Ilwoo Jung | Se Guen Park | Hyodong Ban | Sangjoon Hwang | Won Yong Shin | Jinhye Bae | Dongwoo Lee

Deep learning-based design of broadband GHz complex and random metasurfaces

JOURNAL ARTICLE published 1 October 2021 in APL Photonics

Research funded by Office of Naval Research Global (N62909-19-1-2047) | Singapore University of Technology and Design (SRT3CI21163,SUTD-ZJU VP 201303)

Authors: Tianning Zhang | Chun Yun Kee | Yee Sin Ang | L. K. Ang

In-memory and in-sensor reservoir computing with memristive devices

JOURNAL ARTICLE published 1 March 2024 in APL Machine Learning

Authors: Ning Lin | Jia Chen | Ruoyu Zhao | Yangu He | Kwunhang Wong | Qinru Qiu | Zhongrui Wang | J. Joshua Yang

Cell detection with convolutional spiking neural network for neuromorphic cytometry

JOURNAL ARTICLE published 1 June 2024 in APL Machine Learning

Authors: Ziyao Zhang | Haoxiang Yang | Jason K. Eshraghian | Jiayin Li | Ken-Tye Yong | Daniele Vigolo | Helen M. McGuire | Omid Kavehei

Exploring the optimal design space of transparent perovskite solar cells for four-terminal tandem applications through Pareto front optimization

JOURNAL ARTICLE published 1 June 2024 in APL Machine Learning

Authors: Hu Quee Tan | Xinhai Zhao | Akhil Ambardekar | Erik Birgersson | Hansong Xue

AlGaN/GaN MOS-HEMT enabled optoelectronic artificial synaptic devices for neuromorphic computing

JOURNAL ARTICLE published 1 June 2024 in APL Machine Learning

Research funded by Shanghaitech University Startup Fund (2017F0203-000-14) | National Natural Science Foundation of China (52131303) | Natural Science Foundation of Shanghai (22ZR1442300) | CAS Strategic Science and Technology Program (XDA18000000)

Authors: Jiaxiang Chen | Haitao Du | Haolan Qu | Han Gao | Yitian Gu | Yitai Zhu | Wenbo Ye | Jun Zou | Hongzhi Wang | Xinbo Zou

Contextual beamforming: Exploiting location and AI for enhanced wireless telecommunication performance

JOURNAL ARTICLE published 1 March 2024 in APL Machine Learning

Authors: Jaspreet Kaur | Satyam Bhatti | Kang Tan | Olaoluwa R. Popoola | Muhammad Ali Imran | Rami Ghannam | Qammer H. Abbasi | Hasan T. Abbas

Bayesian optimization approach to quantify the effect of input parameter uncertainty on predictions of numerical physics simulations

JOURNAL ARTICLE published 1 December 2023 in APL Machine Learning

Authors: Samuel G. McCallum | James E. Lerpinière | Kjeld O. Jensen | Pascal Friederich | Alison B. Walker

Multiplexed gradient descent: Fast online training of modern datasets on hardware neural networks without backpropagation

JOURNAL ARTICLE published 1 June 2023 in APL Machine Learning

Authors: Adam N. McCaughan | Bakhrom G. Oripov | Natesh Ganesh | Sae Woo Nam | Andrew Dienstfrey | Sonia M. Buckley