Expertini Research Research

Browse Research Papers

40,309+ open-access research outputs.

โœ• Clear
๐Ÿ” deepesh data ๐Ÿ“‚ Engineering
Showing 40309 results for "deepesh data" in Engineering
Engineering Preprint PDF DOI

Sparse Graph Learning from Sparse Data via Fiedler Number Maximization

Bahar Oveisgharan, Gene Cheung, Andrew Eckford ยท 2026

We aim to learn a sparse and connected graph from sparse data, where the number of observations K can be substantially smaller than the signal dimension N for signals x in R^N, and the underlying distโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Optimal-Control Suggestion for Congestion on Freeways using Data Assimilation of Distributed Fiber-Optic Sensing

Yoshiyuki Yajima, Hemant Prasad, Daisuke Ikefuji, Takemasa Suzuki, Shin Tominaga, Hitoshi Sakurai, Manabu Otani ยท 2026

This paper presents the optimal-control suggestion for congestion on freeways using data assimilation (DA) of distributed fiber-optic sensing (DFOS). To simultaneously maximize throughput and avoid/miโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Data Driven Calibration of Analytical Concrete Creep Models Considering Preloading Effects Using Gaussian Processes

Leonie Heller, Christopher Taube, Gledson Rodrigo Tondo, Guido Morgenthal ยท 2026

The time-dependent deformation of concrete, particularly creep, remains a key challenge for reliable and material-efficient design. Experimental results show that tailored preloading, short-term loadsโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

GEGLU-Transformer for IMU-to-EMG Estimation with Few-Shot Adaptation

Miroljub Mihailovic, Luca Tonin, Stefano Tortora, Emanuele Menegatti ยท 2026

Reliable estimation of neuromuscular activation is a key enabler for adaptive and personalized control in wearable robotics. However, surface electromyography (EMG) remains difficult to deploy robustlโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

The role of physical models in the validation and calibration of numerical models -- The example of the Lilleb{\ae}lt Bridge

Paula Apollonia Wunderlich, Gledson Rodrigo Tondo, Guido Morgenthal ยท 2026

With the rapid advancement of computer technologies enabling fast calculations of complex structures, numerical methods have become a central tool in engineering sciences, while physical models have iโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Robust Graph Matching through Semantic Relationship Generation for SLAM

David Perez-Saura, Jose Andres Millan-Romera, Miguel Fernandez-Cortizas, Holger Voos, Pascual Campoy, Jose Luis Sanchez-Lopez ยท 2026

Graph-based representations such as Scene Graphs enable localization in structured indoor environments by matching a locally observed graph, constructed from sensor data, to a prior map. This process โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Robust Accent Identification via Voice Conversion and Non-Timbral Embeddings

Rayane Bakari, Olivier Le Blouch, Nicolas Gengembre, Nicholas Evans ยท 2026

Automatic accent identification (AID) remains a challenging task due to the complex variability of accents, the entanglement of accent cues with speaker traits, and the scarcity of reliable accentlabeโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Generalizable 3D Gaussian Splatting enabled Semantic Coding for Real-Time Immersive Video Communications

Dingxi Yang, Wenqi Guo, Yue Liu, Jungong Han, Zhijin Qin ยท 2026

Real-time immersive video communications, particularly high-fidelity 3D telepresence, necessitates a synergistic balance between instantaneous dynamic scene reconstruction and high-efficiency data traโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Dual-Polarized Massive MIMO Based on Precoding for Vehicle-To-Ground Communication in Urban Rail Transit

Zhengyuan Wu, Junhui Zhao, Qingmiao Zhang, Ming Zhang ยท 2026

The development of intelligent and diversified ser vices in urban rail transit (URT) has resulted in an increasing de mand for high-rate communication between vehicles and ground equipment. However, eโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Enabling High Error Tolerance in Satellite Video Transmissions by Generative Semantic Communication

Zixin Zhao, Jingzhi Hu, Geoffrey Ye Li ยท 2026

Low Earth orbit (LEO) satellite relays will significantly extend the coverage of mobile networks, enabling users in remote areas to transmit data of real-time events. Nevertheless, the limited power oโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

EVT-Based Generative AI for Tail-Aware Channel Estimation

Parmida Valiahdi, Niloofar Mehrnia, Walid Saad, Sinem Coleri ยท 2026

Ultra-reliable and low-latency communication (URLLC) will play a key role in fifth-generation (5G) and beyond networks, enabling mission-critical applications. Meeting the stringent URLLC requirementsโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Monitoring exposure-length variations in submarine power cables using distributed fiber-optic sensing

Sakiko Mishima, Yoshiyuki Yajima, Noriyuki Tonami, Tomoyuki Hino, Shugo Aibe, Junichiro Saikawa, Koji Mizuguchi ยท 2026

This study proposes an anomaly-detection framework for monitoring exposure-length variations in submarine free-span cables using Distributed Acoustic Sensing (DAS), which is one of the distributed fibโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Data-Driven Privacy-Preserving Modeling and Frequency Regulation with Aggregated Electric Vehicles via Bilinear Hidden Markov Model

Yiping Liu, Xiaozhe Wang, Geza Joos ยท 2026

Vehicle-to-Grid (V2G) technology allows bidirectional power flow for real-time grid support, making electric vehicles (EVs) well-suited for ancillary services such as frequency regulation. However, exโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Exploiting Differential Flatness for Efficient Learning-based Model Predictive Control of Constrained Multi-Input Control Affine Systems

Tobias A. Farger, Adam W. Hall, Angela P. Schoellig ยท 2026

Learning-based control techniques use data from past trajectories to control systems with uncertain dynamics. However, learning-based controllers are often computationally inefficient, limiting their โ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Computational Design and Co-Robotic Fabrication for Material Reuse in Architecture

Arash Adel, Daniel Ruan, Ruxin Xie ยท 2026

Climate change and resource depletion demand a shift from the dominant linear "take-make-use-dispose" paradigm of construction toward circular, low-waste practices. Material reuse offers a promising pโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Reduced-Order Data Assimilation for Thermospheric Density Using Physics-informed SINDyc Models

Sriram Narayanan, Daniele Sicoli, Piyush Mehta ยท 2026

Accurate estimation of thermospheric mass density is a prerequisite for orbit prediction and space situational awareness, where the upper atmosphere responds nonlinearly to solar and geomagnetic forciโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Real-time windrow detection from onboard tractor sensors for automated following

Lorenz Gunreben, Nico Heider, Sebastian Zurner, Martin Schieck, Bogdan Franczyk ยท 2026

Proprietary design in commercial windrow-detection systems restricts transparency and limits progress in open autonomous forage-harvesting research. We present a multi-modal dataset combining stereo vโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

MACAW: Matching-free Acquisition of Channels with Anisotropic Wavefronts

Heling Zhang, Shidong Zhou ยท 2026

The escalating data rate demands of future wireless communications necessitate the deployment of extremely large aperture arrays (ELAA) at base stations. In such configurations, wireless channel charaโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Guiding Vector Field Generation via Score-based Diffusion Model

Zirui Chen, Shiliang Guo, Shiyu Zhao ยท 2026

Guiding Vector Fields (GVFs) are a powerful tool for robotic path following. However, classical methods assume smooth, ordered curves and fail when paths are unordered, multi-branch, or generated by pโ€ฆ

Read Paper โ†’
Engineering Preprint PDF DOI

Comparative Evaluation of Modern Deep Learning Methodologies for Portfolio Optimization

Samuel Ozechi, Banjo Francis, Wisdom Yakanu, Joe Wayne Byers ยท 2026

This study proposes a portfolio optimization framework that integrates advanced deep learning architectures with traditional financial models to enhance risk-adjusted performance. Using historical datโ€ฆ

Read Paper โ†’
โ† Prev Page 3 of 2016 Next โ†’