Expertini Research Research

Browse Research Papers

41,527+ open-access research outputs.

✕ Clear
🔍 machine learning 📂 Engineering
Showing 41527 results for "machine learning" in Engineering
Engineering Preprint PDF DOI

Safety-Certified CRT Sparse FFT: $\Omega(k^2)$ Lower Bound and $O(N \log N)$ Worst-Case

Aaron R. Flouro, Shawn P. Chadwick · 2026

Computing Fourier transforms of k-sparse signals, where only k of N frequencies are non-zero, is fundamental in compressed sensing, radar, and medical imaging. While the Fast Fourier Transform (FFT) e…

Read Paper →
Engineering Preprint PDF DOI

HALO: Hybrid Auto-encoded Locomotion with Learned Latent Dynamics, Poincar\'e Maps, and Regions of Attraction

Blake Werner, Sergio A. Esteban, Massimiliano De Sa, Max H. Cohen, Aaron D. Ames · 2026

Reduced-order models are powerful for analyzing and controlling high-dimensional dynamical systems. Yet constructing these models for complex hybrid systems such as legged robots remains challenging. …

Read Paper →
Engineering Preprint PDF DOI

Safe Control using Learned Safety Filters and Adaptive Conformal Inference

Sacha Huriot, Ihab Tabbara, Hussein Sibai · 2026

Safety filters have been shown to be effective tools to ensure the safety of control systems with unsafe nominal policies. To address scalability challenges in traditional synthesis methods, learning-…

Read Paper →
Engineering Preprint PDF DOI

Incremental learning for audio classification with Hebbian Deep Neural Networks

Riccardo Casciotti, Francesco De Santis, Alberto Antonietti, Annamaria Mesaros · 2026

The ability of humans for lifelong learning is an inspiration for deep learning methods and in particular for continual learning. In this work, we apply Hebbian learning, a biologically inspired learn…

Read Paper →
Engineering Preprint PDF DOI

WiFo-MiSAC: A Wireless Foundation Model for Multimodal Sensing and Communication Integration via Synesthesia of Machines (SoM)

Xuanyu Liu, Shijian Gao, Boxun Liu, Xiang Cheng, Liuqing Yang · 2026

Current learning-based wireless methods struggle with generalization due to the fragmented processing of communication and sensing data. WiFo-MiSAC addresses this as a task-agnostic foundation model t…

Read Paper →
Engineering Preprint PDF DOI

COFFAIL: A Dataset of Successful and Anomalous Robot Skill Executions in the Context of Coffee Preparation

Alex Mitrevski, Ayush Salunke · 2026

In the context of robot learning for manipulation, curated datasets are an important resource for advancing the state of the art; however, available datasets typically only include successful executio…

Read Paper →
Engineering Preprint PDF DOI

Frugal Geofencing via Energy-aware Sensing and Reporting

David E. Ruiz-Guirola, Miltiadis Filippou, Onel A. Lopez · 2026

Timely and accurate monitoring in geofencing scenarios is challenging when relying on ultra-low power Internet of Things devices (IoTDs) powered by energy harvesting (EH). This is mainly because frequ…

Read Paper →
Engineering Preprint PDF DOI

NIM4-ASR: Towards Efficient, Robust, and Customizable Real-Time LLM-Based ASR

Yuan Xie, Jiaqi Song, Guang Qiu, Xianliang Wang, Kai Qiao, Junfeng Yuan, Shengqing Liu, Yi Zhang, Bowen Chen, Ming Lei, Jie Gao, Jie Wu · 2026

Integrating large language models (LLMs) into automatic speech recognition (ASR) has become a mainstream paradigm in recent years. Although existing LLM-based ASR models demonstrate impressive perform…

Read Paper →
Engineering Preprint PDF DOI

Muscle-inspired magnetic actuators that push, pull, crawl, and grasp

Muhammad Bilal Khan, Florian Hofmann, Kilian Schafer, Matthias Lutzi, Oliver Gutfleisch · 2026

Functional magnetic composites capable of large deformation, load bearing, and multifunctional motion are essential for next-generation adaptive soft robots. Here, we present muscle-inspired magnetic …

Read Paper →
Engineering Preprint PDF DOI

EvoMarket: A High-Fidelity and Scalable Financial Market Simulator

Muyao Zhong, Zhenhua Yang, Yuxiang Liu, Ke Tang, Peng Yang · 2026

High-fidelity, scalable market simulation is a key instrument for mechanism evaluation, stress testing, and counterfactual policy analysis. Yet existing simulators rarely achieve \emph{mechanism fidel…

Read Paper →
Engineering Preprint PDF DOI

Matrix-Free 3D SIMP Topology Optimization with Fused Gather-GEMM-Scatter Kernels

Shaoliang Yang, Jun Wang, Yunsheng Wang · 2026

The matrix-free gather-batched-GEMM-scatter pattern eliminates global stiffness assembly for three-dimensional SIMP topology optimization, but the conventional three-stage implementation forces avoida…

Read Paper →
Engineering Preprint PDF DOI

A Novel CSI-RS Reporting Scheme for RIS Optimization in O-RAN-based NextG Networks

Ali Fuat Sahin, Sefa Kayraklik, Ali Gorcin, Ibrahim Hokelek, Ertugrul Basar, Halim Yanikomeroglu · 2026

Reconfigurable intelligent surface (RIS) technology is a promising enabler for next-generation (NextG) wireless systems, capable of dynamically shaping the propagation environment. Integrating RIS wit…

Read Paper →
Engineering Preprint PDF DOI

OFlow: Injecting Object-Aware Temporal Flow Matching for Robust Robotic Manipulation

Kuanning Wang, Ke Fan, Chenhao Qiu, Zeyu Shangguan, Yuqian Fu, Yanwei Fu, Daniel Seita, Xiangyang Xue · 2026

Robust robotic manipulation requires not only predicting how the scene evolves over time, but also recognizing task-relevant objects in complex scenes. However, existing VLA models face two limitation…

Read Paper →
Engineering Preprint PDF DOI

Joint Phase Noise and Off-Grid Channel Estimation for AFDM Systems via Sparse Bayesian Learning

You Xu, Huaijin Zhang, Lixia Xiao, Guanghua Liu, Zilong Liu · 2026

In practical affine frequency division multiplexing (AFDM) systems, the intricate coupling of oscillator phase noise (PN) and off-grid fractional shifts traps conventional estimators in a severe high-…

Read Paper →
Engineering Preprint PDF DOI

Low-Complexity Learning-Based Beamforming for Ultra-Massive MIMO THz Communications

Sourabh Solanki, Abuzar Babikir Mohammad Adam, Chandan Kumar Sheemar, Zaid Abdullah, Eva Lagunas, George C. Alexandropoulos, Symeon Chatzinotas · 2026

Terahertz (THz) communications have emerged as a key technology for escalating data rates in future generation wireless networks. However, severe propagation losses at THz frequencies pose significant…

Read Paper →
Engineering Preprint PDF DOI

DART: Learning-Enhanced Model Predictive Control for Dual-Arm Non-Prehensile Manipulation

Autrio Das, Shreya Bollimuntha, Madala Venkata Renu Jeevesh, Keshab Patra, Tashmoy Ghosh, Nagamanikandan Govindan, Arun Kumar Singh, K Madhava Krishna · 2026

What appears effortless to a human waiter remains a major challenge for robots. Manipulating objects nonprehensilely on a tray is inherently difficult, and the complexity is amplified in dual-arm sett…

Read Paper →
Engineering Preprint PDF DOI

AnchorRefine: Synergy-Manipulation Based on Trajectory Anchor and Residual Refinement for Vision-Language-Action Models

Tingzheng Jia, Kan Guo, Lanping Qian, Yongli Hu, Daxin Tian, Guixian Qu, Chunmian Lin, Baocai Yin, Jiapu Wang · 2026

Precision-critical manipulation requires both global trajectory organization and local execution correction, yet most vision-language-action (VLA) policies generate actions within a single unified spa…

Read Paper →
Engineering Preprint PDF DOI

Input-Side Variance Suppression under Non-Normal Transient Amplification in Continuous-Control Reinforcement Learning

Wu Yue · 2026

Continuous-control reinforcement learning (RL) often exhibits large closed-loop variance, high-frequency control jitter, and sensitivity to disturbance injection. Existing explanations usually emphasi…

Read Paper →
Engineering Preprint PDF DOI

OmniVLA-RL: A Vision-Language-Action Model with Spatial Understanding and Online RL

Haoxiang Jie, Yaoyuan Yan, Xiangyu Wei, Kailin Wang, Hongjie Yan, Zhiyou Heng, Daocheng Chen · 2026

Visual-Language-Action (VLA) models represent a paradigm shift in embodied AI, yet existing frameworks often struggle with imprecise spatial perception, suboptimal multimodal fusion, and instability i…

Read Paper →
Engineering Preprint PDF DOI

Path-Based Quantum Meta-Learning for Adaptive Optimization of Reconfigurable Intelligent Surfaces

Noha Hassan, Xavier Fernando, Halim Yanikomeroglu · 2026

Reconfigurable intelligent surfaces (RISs) modify signal reflections to enhance wireless communication capabilities. Classical RIS phase optimization is highly non convex and challenging in dynamic en…

Read Paper →
← Prev Page 10 of 2077 Next →