Expertini Research Research

Browse Research Papers

63+ open-access research outputs.

โœ• Clear
๐Ÿ” v.f. tamari ๐Ÿ“‚ Engineering
Showing 63 results for "v.f. tamari" in Engineering
Engineering Preprint PDF DOI

LiteVPNet: A Lightweight Network for Video Encoding Control in Quality-Critical Applications

Vibhoothi Vibhoothi, Francois Pitie, Anil Kokaram ยท 2025

In the last decade, video workflows in the cinema production ecosystem have presented new use cases for video streaming technology. These new workflows, e.g. in On-set Virtual Production, present the โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

AD-VF: LLM-Automatic Differentiation Enables Fine-Tuning-Free Robot Planning from Formal Methods Feedback

Yunhao Yang, Junyuan Hong, Gabriel Jacob Perin, Zhiwen Fan, Li Yin, Zhangyang Wang, Ufuk Topcu ยท 2025

Large language models (LLMs) can translate natural language instructions into executable action plans for robotics, autonomous driving, and other domains. Yet, deploying LLM-driven planning in the phyโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Mobility Extraction and Analysis of GaN HEMTs for RF Applications Using TCAD and Experimental Data

Tanjim Rahman ยท 2025

This paper presents an analysis of GaN high-electron-mobility transistors (HEMTs) using both TCAD simulation and experimental characterization. The energy band structure was studied using Nextnano simโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

LAMARL: LLM-Aided Multi-Agent Reinforcement Learning for Cooperative Policy Generation

Guobin Zhu, Rui Zhou, Wenkang Ji, Shiyu Zhao ยท 2025

Although Multi-Agent Reinforcement Learning (MARL) is effective for complex multi-robot tasks, it suffers from low sample efficiency and requires iterative manual reward tuning. Large Language Models โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

A memristive model of spatio-temporal excitability

Thomas SJ Burger, Amir Shahhosseini, Rodolphe Sepulchre ยท 2025

This paper introduces a model of excitability that unifies the mechanism of an important neuronal property both in time and in space. As a starting point, we revisit both a key model of temporal excitโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

VF-Plan: Bridging the Art Gallery Problem and Static LiDAR Scanning with Visibility Field Optimization

Biao Xiong, Longjun Zhang, Ruiqi Huang, Junwei Zhou, S.R.U.N. Jafri, Bojian Wu, Fashuai Li ยท 2025

Viewpoint planning is critical for efficient 3D data acquisition in applications such as 3D reconstruction, building life-cycle management, navigation, and interior decoration. However, existing methoโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

SAMRI-2: A Memory-based Model for Cartilage and Meniscus Segmentation in 3D MRIs of the Knee Joint

Danielle L. Ferreira, Bruno A. A. Nunes, Xuzhe Zhang, Laura Carretero Gomez, Maggie Fung, Ravi Soni ยท 2025

Accurate morphometric assessment of cartilage-such as thickness/volume-via MRI is essential for monitoring knee osteoarthritis. Segmenting cartilage remains challenging and dependent on extensive expeโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

vMF-Contact: Uncertainty-aware Evidential Learning for Probabilistic Contact-grasp in Noisy Clutter

Yitian Shi, Edgar Welte, Maximilian Gilles, Rania Rayyes ยท 2024

Grasp learning in noisy environments, such as occlusions, sensor noise, and out-of-distribution (OOD) objects, poses significant challenges. Recent learning-based approaches focus primarily on capturiโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Inverter Output Impedance Estimation in Power Networks: A Variable Direction Forgetting Recursive-Least-Square Algorithm Based Approach

Jaesang Park, Alireza Askarian, Srinivasa Salapaka ยท 2024

As inverter-based loads and energy sources become increasingly prevalent, accurate estimation of line impedance between inverters and the grid is essential for optimizing performance and enhancing conโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Optimized Resource Allocation for Cloud-Native 6G Networks: Zero-Touch ML Models in Microservices-based VNF Deployments

Swarna Bindu Chetty, Avishek Nag, Ahmed Al-Tahmeesschi, Qiao Wang, Berk Canberk, Johann Marquez-Barja, Hamed Ahmadi ยท 2024

6G, the next generation of mobile networks, is set to offer even higher data rates, ultra-reliability, and lower latency than 5G. New 6G services will increase the load and dynamism of the network. Neโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Corrections to "Computer Vision Aided mmWave Beam Alignment in V2X Communications"

Weihua Xu, Feifei Gao, Xiaoming Tao, Jianhua Zhang, Ahmed Alkhateeb ยท 2024

In this document, we revise the results of [1] based on more reasonable assumptions regarding data shuffling and parameter setup of deep neural networks (DNNs). Thus, the simulation results can now moโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

PNR: Physics-informed Neural Representation for high-resolution LFM reconstruction

Jiayin Zhao, Zhifeng Zhao, Jiamin Wu, Tao Yu, Hui Qiao ยท 2024

Light field microscopy (LFM) has been widely utilized in various fields for its capability to efficiently capture high-resolution 3D scenes. Despite the rapid advancements in neural representations, tโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Characterization of Acoustic Losses in Interdigitated VHF to mmWave Piezoelectric M/NEMS Resonators

Luca Colombo, Gabriel Giribaldi, Ryan Tetro, Jack Guida, Walter Gubinelli, Luca Spagnuolo, Nicol Maietta, Siddhartha Ghosh, Matteo Rinaldi ยท 2024

This work reports on a technology-agnostic and frequency-independent methodology combining a-priori modeling, Finite Element Analysis (FEA), and experimental results for the characterization of acoustโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Model Reference Control for Wind Turbine Systems in Full Load Region based on Takagi-Sugeno Fuzzy Systems

Johannes Brunner, Jens Fortmann, Horst Schulte ยท 2024

This paper presents a novel Model Reference Control (MRC) approach for wind turbine (WT) systems in the full load region employing a fuzzy Parallel Distribution Compensation Controller (PDC-C) derivedโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Delay-Aware Multi-Agent Reinforcement Learning for Cooperative Adaptive Cruise Control with Model-based Stability Enhancement

Jiaqi Liu, Ziran Wang, Peng Hang, Jian Sun ยท 2024

Cooperative Adaptive Cruise Control (CACC) represents a quintessential control strategy for orchestrating vehicular platoon movement within Connected and Automated Vehicle (CAV) systems, significantlyโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Tiny-VBF: Resource-Efficient Vision Transformer based Lightweight Beamformer for Ultrasound Single-Angle Plane Wave Imaging

Abdul Rahoof, Vivek Chaturvedi, Mahesh Raveendranatha Panicker, Muhammad Shafique ยท 2023

Accelerating compute intensive non-real-time beam-forming algorithms in ultrasound imaging using deep learning architectures has been gaining momentum in the recent past. Nonetheless, the complexity oโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Rethinking Closed-loop Training for Autonomous Driving

Chris Zhang, Runsheng Guo, Wenyuan Zeng, Yuwen Xiong, Binbin Dai, Rui Hu, Mengye Ren, Raquel Urtasun ยท 2023

Recent advances in high-fidelity simulators have enabled closed-loop training of autonomous driving agents, potentially solving the distribution shift in training v.s. deployment and allowing trainingโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Lessons Learned in ATCO2: 5000 hours of Air Traffic Control Communications for Robust Automatic Speech Recognition and Understanding

Juan Zuluaga-Gomez, Iuliia Nigmatulina, Amrutha Prasad, Petr Motlicek, Driss Khalil, Srikanth Madikeri, Allan Tart, Igor Szoke, Vincent Lenders, Mickael Rigault, Khalid Choukri ยท 2023

Voice communication between air traffic controllers (ATCos) and pilots is critical for ensuring safe and efficient air traffic control (ATC). This task requires high levels of awareness from ATCos andโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Manipulate by Seeing: Creating Manipulation Controllers from Pre-Trained Representations

Jianren Wang, Sudeep Dasari, Mohan Kumar Srirama, Shubham Tulsiani, Abhinav Gupta ยท 2023

The field of visual representation learning has seen explosive growth in the past years, but its benefits in robotics have been surprisingly limited so far. Prior work uses generic visual representatiโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

FerroX : A GPU-accelerated, 3D Phase-Field Simulation Framework for Modeling Ferroelectric Devices

Prabhat Kumar, Andrew Nonaka, Revathi Jambunathan, Girish Pahwa, Sayeef Salahuddin, Zhi Yao ยท 2022

We present a massively parallel, 3D phase-field simulation framework for modeling ferro-electric materials based scalable logic devices. We self-consistently solve the time-dependent Ginzburg Landau (โ€ฆ

Read Paper โ†’
Page 1 of 4 Next โ†’