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๐Ÿ” computing methodologies ๐Ÿ“‚ Engineering
Showing 7833 results for "computing methodologies" in Engineering
Engineering Preprint PDF DOI

Transfer Learning and Explainable AI for Brain Tumor Classification: A Study Using MRI Data from Bangladesh

Shuvashis Sarker ยท 2025

Brain tumors, regardless of being benign or malignant, pose considerable health risks, with malignant tumors being more perilous due to their swift and uncontrolled proliferation, resulting in malignaโ€ฆ

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Prime the search: Using large language models for guiding geometric task and motion planning by warm-starting tree search

Dongryung Lee, Sejune Joo, Kimin Lee, Beomjoon Kim ยท 2025

The problem of relocating a set of objects to designated areas amidst movable obstacles can be framed as a Geometric Task and Motion Planning (G-TAMP) problem, a subclass of task and motion planning (โ€ฆ

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Controlled Reach-avoid Set Computation for Discrete-time Polynomial Systems via Convex Optimization

Taoran Wu, Yiling Xue, Dejin Ren, Arvind Easwaran, Martin Franzle, Bai Xue ยท 2025

This paper addresses the computation of controlled reach-avoid sets (CRASs) for discrete-time polynomial systems subject to control inputs. A CRAS is a set encompassing initial states from which thereโ€ฆ

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Engineering Preprint PDF DOI

Semantics-aware Predictive Inspection Path Planning

Mihir Dharmadhikari, Kostas Alexis ยท 2025

This paper presents a novel semantics-aware inspection path planning paradigm called "Semantics-aware Predictive Planning" (SPP). Industrial environments that require the inspection of specific objectโ€ฆ

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Engineering Preprint PDF DOI

MapleGrasp: Mask-guided Feature Pooling for Language-driven Efficient Robotic Grasping

Vineet Bhat, Naman Patel, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami ยท 2025

Robotic manipulation of unseen objects via natural language commands remains challenging. Language driven robotic grasping (LDRG) predicts stable grasp poses from natural language queries and RGB-D imโ€ฆ

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Engineering Preprint PDF DOI

Edge-Enabled Collaborative Object Detection for Real-Time Multi-Vehicle Perception

Everett Richards, Bipul Thapa, Lena Mashayekhy ยท 2025

Accurate and reliable object detection is critical for ensuring the safety and efficiency of Connected Autonomous Vehicles (CAVs). Traditional on-board perception systems have limited accuracy due to โ€ฆ

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A Flexible Design Framework for Integrated Communication and Computing Receivers

Kuranage Roche Rayan Ranasinghe, Kengo Ando, Hyeon Seok Rou, Giuseppe Thadeu Freitas de Abreu, Takumi Takahashi, Marco Di Renzo, David Gonzalez G ยท 2025

We propose a framework to design integrated communication and computing (ICC) receivers capable of simultaneously detecting data symbols and performing over-the-air computing (AirComp) in a manner thaโ€ฆ

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An SCMA Receiver for 6G NTN based on Multi-Task Learning

Bruno De Filippo, Carla Amatetti, Riccardo Campana, Alessandro Guidotti, Alessandro Vanelli-Coralli ยท 2025

Future 6G networks are envisioned to enhance the user experience in a multitude of different ways. The unification of existing terrestrial networks with non-terrestrial network (NTN) components will pโ€ฆ

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Cloud-Based Interoperability in Residential Energy Systems

Darren Leniston, David Ryan, Ammar Malik, Jack Jackman, Terence O'Donnell ยท 2025

As distributed energy resources (DERs) such as solar PV, batteries and electric vehicles become increasingly prevalent at the edge, maintaining grid stability requires advanced monitoring and control โ€ฆ

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Structural Integrality in Task Assignment and Path Finding via Total Unimodularity of Petri Net Models

Ioana Hustiu, Roozbeh Abolpour, Marius Kloetzer, Cristian Mahulea ยท 2025

Task Assignment and Path Finding (TAPF) concerns computing collision-free motions for multiple robots while jointly selecting goal locations. In this paper, safety is enforced by requiring unit-capaciโ€ฆ

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cuVSLAM: CUDA accelerated visual odometry and mapping

Alexander Korovko, Dmitry Slepichev, Alexander Efitorov, Aigul Dzhumamuratova, Viktor Kuznetsov, Hesam Rabeti, Joydeep Biswas, Soha Pouya ยท 2025

Accurate and robust pose estimation is a key requirement for any autonomous robot. We present cuVSLAM, a state-of-the-art solution for visual simultaneous localization and mapping, which can operate wโ€ฆ

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Pseudo-Simulation for Autonomous Driving

Wei Cao, Marcel Hallgarten, Tianyu Li, Daniel Dauner, Xunjiang Gu, Caojun Wang, Yakov Miron, Marco Aiello, Hongyang Li, Igor Gilitschenski, Boris Ivanovic, Marco Pavone, Andreas Geiger, Kashyap Chitta ยท 2025

Existing evaluation paradigms for Autonomous Vehicles (AVs) face critical limitations. Real-world evaluation is often challenging due to safety concerns and a lack of reproducibility, whereas closed-lโ€ฆ

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High-Speed Ultra-Energy-Efficient Memristor-Based Massive MIMO SIC Detector Circuit with Hybrid Analog-Digital Computing Architecture

Jia-Hui Bi, Shaoshi Yang, Sheng Chen, Ping Zhang ยท 2025

The emerging memristor crossbar array based computing circuits exhibit computing speeds and energy efficiency far surpassing those of traditional digital processors. This type of circuits can completeโ€ฆ

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Optimization of Functional Materials Design with Optimal Initial Data in Surrogate-Based Active Learning

Seongmin Kim, In-Saeng Suh ยท 2025

The optimization of functional materials is important to enhance their properties, but their complex geometries pose great challenges to optimization. Data-driven algorithms efficiently navigate such โ€ฆ

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Functionality Assessment Framework for Autonomous Driving Systems using Subjective Networks

Stefan Orf, Sven Ochs, Valentin Marotta, Oliver Conder, Marc Rene Zofka, J. Marius Zollner ยท 2025

In complex autonomous driving (AD) software systems, the functioning of each system part is crucial for safe operation. By measuring the current functionality or operability of individual components aโ€ฆ

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A Survey of Deep Learning Video Super-Resolution

Arbind Agrahari Baniya, Tsz-Kwan Lee, Peter Eklund, Sunil Aryal ยท 2025

Video super-resolution (VSR) is a prominent research topic in low-level computer vision, where deep learning technologies have played a significant role. The rapid progress in deep learning and its apโ€ฆ

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Baseband-Free End-to-End Communication System Based on Diffractive Deep Neural Network

Xiaokun Teng, Wankai Tang, Xiao Li, Shi Jin ยท 2025

Diffractive deep neural network (D2NN), also referred to as reconfigurable intelligent metasurface based deep neural networks (Rb-DNNs) or stacked intelligent metasurfaces (SIMs) in the field of wirelโ€ฆ

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Large Language Models for EEG: A Comprehensive Survey and Taxonomy

Naseem Babu, Jimson Mathew, A. P. Vinod ยท 2025

The growing convergence between Large Language Models (LLMs) and electroencephalography (EEG) research is enabling new directions in neural decoding, brain-computer interfaces (BCIs), and affective coโ€ฆ

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Generalized Super-Twisting Observer for a class of interconnected nonlinear systems with uncertainties

Rania Tafat, Jaime A. Moreno, Stefan Streif ยท 2025

The Generalized Super-Twisting Observer (GSTO) is extended for a strongly observable class of nonlinearly interconnected systems with bounded uncertainties/perturbations. A nonsmooth strong Lyapunov fโ€ฆ

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Benchmarking Neural Speech Codec Intelligibility with SITool

Anna Leschanowsky, Kishor Kayyar Lakshminarayana, Anjana Rajasekhar, Lyonel Behringer, Ibrahim Kilinc, Guillaume Fuchs, Emanuel A. P. Habets ยท 2025

Speech intelligibility assessment is essential for evaluating neural speech codecs, yet most evaluation efforts focus on overall quality rather than intelligibility. Only a few publicly available toolโ€ฆ

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