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

State-Space Large Audio Language Models

Saurabhchand Bhati, Yuan Gong, Leonid Karlinsky, Hilde Kuehne, Rogerio Feris, James Glass ยท 2024

Large Audio Language Models (LALM) combine the audio perception models and the Large Language Models (LLM) and show a remarkable ability to reason about the input audio, infer the meaning, and understโ€ฆ

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Engineering Preprint PDF DOI

Comparison of Tiny Machine Learning Techniques for Embedded Acoustic Emission Analysis

Uditha Muthumala, Yuxuan Zhang, Luciano Sebastian Martinez-Rau, Sebastian Bader ยท 2024

This paper compares machine learning approaches with different input data formats for the classification of acoustic emission (AE) signals. AE signals are a promising monitoring technique in many struโ€ฆ

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Engineering Preprint PDF DOI

Formalizing Stateful Behavior Trees

Serena S. Serbinowska, Preston Robinette, Gabor Karsai, Taylor T. Johnson ยท 2024

Behavior Trees (BTs) are high-level controllers that are useful in a variety of planning tasks and are gaining traction in robotic mission planning. As they gain popularity in safety-critical domains,โ€ฆ

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Data-Driven Multi-step Nonlinear Model Predictive Control for Industrial Heavy Load Hydraulic Robot

Dexian Ma, Bo Zhou ยท 2024

Automating complex industrial robots requires precise nonlinear control and efficient energy management. This paper introduces a data-driven nonlinear model predictive control (NMPC) framework to optiโ€ฆ

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Engineering Preprint PDF DOI

Demonstrating the Suitability of Neuromorphic, Event-Based, Dynamic Vision Sensors for In Process Monitoring of Metallic Additive Manufacturing and Welding

David Mascarenas, Andre Green, Ashlee Liao, Michael Torrez, Alessandro Cattaneo, Amber Black, John Bernardin, Garrett Kenyon ยท 2024

We demonstrate the suitability of high dynamic range, high-speed, neuromorphic event-based, dynamic vision sensors for metallic additive manufacturing and welding for in-process monitoring applicationโ€ฆ

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Engineering Preprint PDF DOI

MORE-Stress: Model Order Reduction based Efficient Numerical Algorithm for Thermal Stress Simulation of TSV Arrays in 2.5D/3D IC

Tianxiang Zhu, Qipan Wang, Yibo Lin, Runsheng Wang, Ru Huang ยท 2024

Thermomechanical stress induced by through-silicon vias (TSVs) plays an important role in the performance and reliability analysis of 2.5D/3D ICs. While the finite element method (FEM) adopted by commโ€ฆ

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Engineering Preprint PDF DOI

High-Throughput Blind Co-Channel Interference Cancellation for Edge Devices Using Depthwise Separable Convolutions, Quantization, and Pruning

Mostafa Naseri, Eli De Poorter, Ingrid Moerman, H. Vincent Poor, Adnan Shahid ยท 2024

Co-channel interference cancellation (CCI) is the process used to reduce interference from other signals using the same frequency channel, thereby enhancing the performance of wireless communication sโ€ฆ

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Engineering Preprint PDF DOI

Scalable control synthesis for stochastic systems via structural IMDP abstractions

Frederik Baymler Mathiesen, Sofie Haesaert, Luca Laurenti ยท 2024

This paper introduces a novel abstraction-based framework for controller synthesis of nonlinear discrete-time stochastic systems. The focus is on probabilistic reach-avoid specifications. The frameworโ€ฆ

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Engineering Preprint PDF DOI

Distributed Learning with Partial Information Sharing

P Raghavendra Rao, Pooja Vyavahare ยท 2024

This work studies the distributed learning process on a network of agents. Agents make partial observation about an unknown hypothesis and iteratively share their beliefs over a set of possible hypothโ€ฆ

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Memory-Efficient Training for Text-Dependent SV with Independent Pre-trained Models

Seyed Ali Farokh, Hossein Zeinali ยท 2024

This paper presents our submission to the Iranian division of the Text-Dependent Speaker Verification Challenge (TdSV) 2024. Conventional TdSV approaches typically jointly model speaker and linguisticโ€ฆ

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Moving Forward: A Review of Autonomous Driving Software and Hardware Systems

Xu Wang, Mohammad Ali Maleki, Muhammad Waqar Azhar, Pedro Trancoso ยท 2024

With their potential to significantly reduce traffic accidents, enhance road safety, optimize traffic flow, and decrease congestion, autonomous driving systems are a major focus of research and develoโ€ฆ

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DYRECT Computed Tomography: DYnamic Reconstruction of Events on a Continuous Timescale

Wannes Goethals, Tom Bultreys, Steffen Berg, Matthieu N. Boone, Jan Aelterman ยท 2024

Time-resolved high-resolution X-ray Computed Tomography (4D $\mu$CT) is an imaging technique that offers insight into the evolution of dynamic processes inside materials that are opaque to visible ligโ€ฆ

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Channel-Adaptive Wireless Image Semantic Transmission with Learnable Prompts

Liang Zhang, Danlan Huang, Xinyi Zhou, Feng Ding, Sheng Wu, Zhiqing Wei ยท 2024

Recent developments in Deep learning based Joint Source-Channel Coding (DeepJSCC) have demonstrated impressive capabilities within wireless semantic communications system. However, existing DeepJSCC mโ€ฆ

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An End-To-End Stuttering Detection Method Based On Conformer And BILSTM

Xiaokang Liu, Changqing Xu, Yudong Yang, Lan Wang, Nan Yan ยท 2024

Stuttering is a neurodevelopmental speech disorder characterized by common speech symptoms such as pauses, exclamations, repetition, and prolongation. Speech-language pathologists typically assess theโ€ฆ

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LUDO: Low-Latency Understanding of Deformable Objects using Point Cloud Occupancy Functions

Pit Henrich, Franziska Mathis-Ullrich, Paul Maria Scheikl ยท 2024

Accurately determining the shape of deformable objects and the location of their internal structures is crucial for medical tasks that require precise targeting, such as robotic biopsies. We introduceโ€ฆ

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Precision-Focused Reinforcement Learning Model for Robotic Object Pushing

Lara Bergmann, David Leins, Robert Haschke, Klaus Neumann ยท 2024

Non-prehensile manipulation, such as pushing objects to a desired target position, is an important skill for robots to assist humans in everyday situations. However, the task is challenging due to theโ€ฆ

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Learning Dynamic Cognitive Map with Autonomous Navigation

Daria de Tinguy, Tim Verbelen, Bart Dhoedt ยท 2024

Inspired by animal navigation strategies, we introduce a novel computational model to navigate and map a space rooted in biologically inspired principles. Animals exhibit extraordinary navigation prowโ€ฆ

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Efficient Creation of Behavior Models with Variable Modeling Depths Used in Digital Twins

Valentin Stegmaier, Walter Schaaf, Nasser Jazdi, Michael Weyrich ยท 2024

Behavior models form an integral component of Digital Twins. The specific characteristics of these models may vary depending on the use case. One of these key characteristics is the modeling depth. Beโ€ฆ

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Engineering Preprint PDF DOI

EEG-DCNet: A Fast and Accurate MI-EEG Dilated CNN Classification Method

Wei Peng, Kang Liu, Jiaxi Shi, Jianchen Hu ยท 2024

The electroencephalography (EEG)-based motor imagery (MI) classification is a critical and challenging task in brain-computer interface (BCI) technology, which plays a significant role in assisting paโ€ฆ

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SP-VIO: Robust and Efficient Filter-Based Visual Inertial Odometry with State Transformation Model and Pose-Only Visual Description

Xueyu Du, Lilian Zhang, Chengjun Ji, Xinchan Luo, Huaiyi Zhang, Maosong Wang, Wenqi Wu, Jun Mao ยท 2024

Due to the advantages of high computational efficiency and small memory requirements, filter-based visual inertial odometry (VIO) has a good application prospect in miniaturized and payload-constraineโ€ฆ

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