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๐Ÿ” memory ๐Ÿ“‚ Engineering
Showing 3601 results for "memory" in Engineering
Engineering Preprint PDF DOI

Enhancing the Performance of DeepReach on High-Dimensional Systems through Optimizing Activation Functions

Qian Wang, Tianhao Wu ยท 2023

With the continuous advancement in autonomous systems, it becomes crucial to provide robust safety guarantees for safety-critical systems. Hamilton-Jacobi Reachability Analysis is a formal verificatioโ€ฆ

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Engineering Preprint PDF DOI

Once Burned, Twice Shy? The Effect of Stock Market Bubbles on Traders that Learn by Experience

Haibei Zhu, Svitlana Vyetrenko, Serafin Grundl, David Byrd, Kshama Dwarakanath, Tucker Balch ยท 2023

We study how experience with asset price bubbles changes the trading strategies of reinforcement learning (RL) traders and ask whether the change in trading strategies helps to prevent future bubbles.โ€ฆ

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Engineering Preprint PDF DOI

Reformulation and generalisation of the air-gap element

Herbert De Gersem, Thomas Weiland ยท 2023

The air-gap macro element is reformulated such that rotation, rotor or stator skewing and rotor eccentricity can be incorporated easily. The air-gap element is evaluated using Fast Fourier Transforms โ€ฆ

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Engineering Preprint PDF DOI

Predicting Parkinson's disease evolution using deep learning

Maria Frasca, Davide La Torre, Gabriella Pravettoni, Ilaria Cutica ยท 2023

Parkinson's disease is a neurological condition that occurs in nearly 1% of the world's population. The disease is manifested by a drop in dopamine production, symptoms are cognitive and behavioural aโ€ฆ

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Engineering Preprint PDF DOI

A New Perspective on Speaker Verification: Joint Modeling with DFSMN and Transformer

Hongyu Wang, Hui Li, Bo Li ยท 2023

Speaker verification is to judge the similarity between two unknown voices in an open set, where the ideal speaker embedding should be able to condense discriminant information into a compact utterancโ€ฆ

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Engineering Preprint PDF DOI

Uncertainty Quantification in Machine Learning for Joint Speaker Diarization and Identification

Simon W. McKnight, Aidan O. T. Hogg, Vincent W. Neo, Patrick A. Naylor ยท 2023

This paper studies modulation spectrum features ($\Phi$) and mel-frequency cepstral coefficients ($\Psi$) in joint speaker diarization and identification (JSID). JSID is important as speaker diarizatiโ€ฆ

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Engineering Preprint PDF DOI

Selective-Memory Meta-Learning with Environment Representations for Sound Event Localization and Detection

Jinbo Hu, Yin Cao, Ming Wu, Qiuqiang Kong, Feiran Yang, Mark D. Plumbley, Jun Yang ยท 2023

Environment shifts and conflicts present significant challenges for learning-based sound event localization and detection (SELD) methods. SELD systems, when trained in particular acoustic settings, ofโ€ฆ

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Engineering Preprint PDF DOI

Agent based modelling for continuously varying supply chains

Wan Wang, Haiyan Wang, Adam J.Sobey ยท 2023

Problem definition: Supply chains are constantly evolving networks. Reinforcement learning is increasingly proposed as a solution to provide optimal control of these networks. Academic/practical: Howeโ€ฆ

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Engineering Preprint PDF DOI

BLSTM-Based Confidence Estimation for End-to-End Speech Recognition

Atsunori Ogawa, Naohiro Tawara, Takatomo Kano, Marc Delcroix ยท 2023

Confidence estimation, in which we estimate the reliability of each recognized token (e.g., word, sub-word, and character) in automatic speech recognition (ASR) hypotheses and detect incorrectly recogโ€ฆ

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Engineering Preprint PDF DOI

3D Programming of Patterned Heterogeneous Interface for 4D Smart Robotics

Kewei Song, Chunfeng Xiong, Ze Zhang, Kunlin Wu, Weiyang Wan, Yifan Wang, Shinjiro Umezu, Hirotaka Sato ยท 2023

Shape memory structures are playing an important role in many cutting-edge intelligent fields. However, the existing technologies can only realize 4D printing of a single polymer or metal, which limitโ€ฆ

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Engineering Preprint PDF DOI

DMC4ML: Data Movement Complexity for Machine Learning

Chen Ding, Christopher Kanan, Dylan McKellips, Toranosuke Ozawa, Arian Shahmirza, Wesley Smith ยท 2023

The greatest demand for today's computing is machine learning. This paper analyzes three machine learning algorithms: transformers, spatial convolution, and FFT. The analysis is novel in three aspectsโ€ฆ

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Engineering Preprint PDF DOI

An integrated framework for accelerating reactive flow simulation using GPU and machine learning models

Runze Mao, Yingrui Wang, Min Zhang, Han Li, Jiayang Xu, Xinyu Dong, Yan Zhang, Zhi X. Chen ยท 2023

Recent progress in artificial intelligence (AI) and high-performance computing (HPC) have brought potentially game-changing opportunities in accelerating reactive flow simulations. In this study, we iโ€ฆ

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Engineering Preprint PDF DOI

Lattice Rescoring Based on Large Ensemble of Complementary Neural Language Models

Atsunori Ogawa, Naohiro Tawara, Marc Delcroix, Shoko Araki ยท 2023

We investigate the effectiveness of using a large ensemble of advanced neural language models (NLMs) for lattice rescoring on automatic speech recognition (ASR) hypotheses. Previous studies have reporโ€ฆ

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Engineering Preprint PDF DOI

IKT-BT: Indirect Knowledge Transfer Behavior Tree Framework for Multi-Robot Systems Through Communication Eavesdropping

Sanjay Oruganti, Ramviyas Parasuraman, Ramana Pidaparti ยท 2023

Multi-agent and multi-robot systems (MRS) often rely on direct communication for information sharing. This work explores an alternative approach inspired by eavesdropping mechanisms in nature that invโ€ฆ

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Engineering Preprint PDF DOI

A Computationally Efficient Neural Video Compression Accelerator Based on a Sparse CNN-Transformer Hybrid Network

Siyu Zhang, Wendong Mao, Huihong Shi, Zhongfeng Wang ยท 2023

Video compression is widely used in digital television, surveillance systems, and virtual reality. Real-time video decoding is crucial in practical scenarios. Recently, neural video compression (NVC) โ€ฆ

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Engineering Preprint PDF DOI

SRMAC -- Smoothed Recursive Moving Average Crossover for Real-Time Systolic Peak Detection in Photoplethysmography

Cesar Abascal Machado, Victor O. Costa, Cesar Augusto Prior, Cesar Ramos Rodrigues ยท 2023

Purpose. Photoplethysmography (PPG) is a non-invasive technique that measures changes in blood flow volume through optical means. Previous research has established the feasibility of PPG peak detectioโ€ฆ

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Measurement-based/Model-less Estimation of Voltage Sensitivity Coefficients by Feedforward and LSTM Neural Networks in Power Distribution Grids

Robin Henry, Rahul Gupta ยท 2023

The increasing adoption of measurement units in electrical power distribution grids has enabled the deployment of data-driven and measurement-based control schemes. Such schemes rely on measurement-baโ€ฆ

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Engineering Preprint PDF DOI

A Sim-to-Real Deep Learning-based Framework for Autonomous Nano-drone Racing

Lorenzo Lamberti, Elia Cereda, Gabriele Abbate, Lorenzo Bellone, Victor Javier Kartsch Morinigo, Micha{l} Barcis, Agata Barcis, Alessandro Giusti, Francesco Conti, Daniele Palossi ยท 2023

Autonomous drone racing competitions are a proxy to improve unmanned aerial vehicles' perception, planning, and control skills. The recent emergence of autonomous nano-sized drone racing imposes new cโ€ฆ

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Engineering Preprint PDF DOI

RankDVQA-mini: Knowledge Distillation-Driven Deep Video Quality Assessment

Chen Feng, Duolikun Danier, Haoran Wang, Fan Zhang, Benoit Vallade, Alex Mackin, David Bull ยท 2023

Deep learning-based video quality assessment (deep VQA) has demonstrated significant potential in surpassing conventional metrics, with promising improvements in terms of correlation with human percepโ€ฆ

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Engineering Preprint PDF DOI

A Computationally Efficient Maximum A Posteriori Sequence Estimation via Stein Variational Inference

Min-Won Seo, Solmaz S. Kia ยท 2023

State estimation in robotic systems presents significant challenges, particularly due to the prevalence of multimodal posterior distributions in real-world scenarios. One effective strategy for handliโ€ฆ

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