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๐Ÿ” sam devlin ๐Ÿ“‚ Engineering
Showing 2174 results for "sam devlin" in Engineering
Engineering Preprint PDF DOI

Hypothesis on the Functional Advantages of the Selection-Broadcast Cycle Structure: Global Workspace Theory and Dealing with a Real-Time World

Junya Nakanishi, Jun Baba, Yuichiro Yoshikawa, Hiroko Kamide, Hiroshi Ishiguro ยท 2025

This paper discusses the functional advantages of the Selection-Broadcast Cycle structure proposed by Global Workspace Theory (GWT), inspired by human consciousness, particularly focusing on its appliโ€ฆ

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Engineering Preprint PDF DOI

XDementNET: An Explainable Attention Based Deep Convolutional Network to Detect Alzheimer Progression from MRI data

Soyabul Islam Lincoln, Mirza Mohd Shahriar Maswood ยท 2025

A common neurodegenerative disease, Alzheimer's disease requires a precise diagnosis and efficient treatment, particularly in light of escalating healthcare expenses and the expanding use of artificiaโ€ฆ

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Engineering Preprint PDF DOI

U-SAM: An audio language Model for Unified Speech, Audio, and Music Understanding

Ziqian Wang, Xianjun Xia, Xinfa Zhu, Lei Xie ยท 2025

The text generation paradigm for audio tasks has opened new possibilities for unified audio understanding. However, existing models face significant challenges in achieving a comprehensive understandiโ€ฆ

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Engineering Preprint PDF DOI

Predicting Gas Well Performance with Decline Curve Analysis: A Case Study on Semutang Gas Field

Md. Shakil Rahaman, Ahmed Sakib, Ataharuse Samad, Md. Ashraful Islam ยท 2025

Decline-curve analysis (DCA) is a widely utilized method for production forecasting and estimating remaining reserves in gas reservoir. Based on the assumptions that past production trend can be matheโ€ฆ

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Engineering Preprint PDF DOI

CTLformer: A Hybrid Denoising Model Combining Convolutional Layers and Self-Attention for Enhanced CT Image Reconstruction

Zhiting Zheng, Shuqi Wu, Wen Ding ยท 2025

Low-dose CT (LDCT) images are often accompanied by significant noise, which negatively impacts image quality and subsequent diagnostic accuracy. To address the challenges of multi-scale feature fusionโ€ฆ

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Engineering Preprint PDF DOI

Recent Advances in Diffusion Models for Hyperspectral Image Processing and Analysis: A Review

Xing Hu, Xiangcheng Liu, Danfeng Hong, Qianqian Duan, Linghua Jiang, Haima Yang, Dawei Zhan ยท 2025

Hyperspectral image processing and analysis has important application value in remote sensing, agriculture and environmental monitoring, but its high dimensionality, data redundancy and noise interferโ€ฆ

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Engineering Preprint PDF DOI

Predicting Risk of Pulmonary Fibrosis Formation in PASC Patients

Wanying Dou, Gorkem Durak, Koushik Biswas, Ziliang Hong, Andrea Mia Bejar, Elif Keles, Kaan Akin, Sukru Mehmet Erturk, Alpay Medetalibeyoglu, Marc Sala, Alexander Misharin, Hatice Savas, Mary Salvatore, Sachin Jambawalikar, Drew Torigian, Jayaram K. Udupa, Ulas Bagci ยท 2025

While the acute phase of the COVID-19 pandemic has subsided, its long-term effects persist through Post-Acute Sequelae of COVID-19 (PASC), commonly known as Long COVID. There remains substantial uncerโ€ฆ

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Engineering Preprint PDF DOI

HWA-UNETR: Hierarchical Window Aggregate UNETR for 3D Multimodal Gastric Lesion Segmentation

Jiaming Liang, Lihuan Dai, Xiaoqi Sheng, Xiangguang Chen, Chun Yao, Guihua Tao, Qibin Leng, Hongmin Cai, Xi Zhong ยท 2025

Multimodal medical image segmentation faces significant challenges in the context of gastric cancer lesion analysis. This clinical context is defined by the scarcity of independent multimodal datasetsโ€ฆ

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Engineering Preprint PDF DOI

Force-Driven Validation for Collaborative Robotics in Automated Avionics Testing

Pietro Dardano, Paolo Rocco, David Frisini ยท 2025

ARTO is a project combining collaborative robots (cobots) and Artificial Intelligence (AI) to automate functional test procedures for civilian and military aircraft certification. This paper proposes โ€ฆ

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Engineering Preprint PDF DOI

Provably safe and human-like car-following behaviors: Part 1. Analysis of phases and dynamics in standard models

Wen-Long Jin ยท 2025

Trajectory planning is essential for ensuring safe driving in the face of uncertainties related to communication, sensing, and dynamic factors such as weather, road conditions, policies, and other roaโ€ฆ

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Engineering Preprint PDF DOI

Bridging Human Oversight and Black-box Driver Assistance: Vision-Language Models for Predictive Alerting in Lane Keeping Assist Systems

Yuhang Wang, Hao Zhou ยท 2025

Lane Keeping Assist systems, while increasingly prevalent, often suffer from unpredictable real-world failures, largely due to their opaque, black-box nature, which limits driver anticipation and trusโ€ฆ

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Engineering Preprint PDF DOI

Parameter-Efficient Fine-Tuning of Vision Foundation Model for Forest Floor Segmentation from UAV Imagery

Mohammad Wasil, Ahmad Drak, Brennan Penfold, Ludovico Scarton, Maximilian Johenneken, Alexander Asteroth, Sebastian Houben ยท 2025

Unmanned Aerial Vehicles (UAVs) are increasingly used for reforestation and forest monitoring, including seed dispersal in hard-to-reach terrains. However, a detailed understanding of the forest floorโ€ฆ

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Engineering Preprint PDF DOI

Extract the Best, Discard the Rest: CSI Feedback with Offline Large AI Models

Jialin Zhuang, Yafei Wang, Hongwei Hou, Yu Han, Wenjin Wang, Shi Jin, Jiangzhou Wang ยท 2025

Large AI models (LAMs) have shown strong potential in wireless communication tasks, but their practical deployment remains hindered by latency and computational constraints. In this work, we focus on โ€ฆ

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Engineering Preprint PDF DOI

FermatSyn: SAM2-Enhanced Bidirectional Mamba with Isotropic Spiral Scanning for Multi-Modal Medical Image Synthesis

Feng Yuan ยท 2025

Multi-modal medical image synthesis is pivotal for alleviating clinical data scarcity, yet existing methods fail to reconcile global anatomical consistency with high-fidelity local detail. We propose โ€ฆ

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Engineering Preprint PDF DOI

A comparative study of Bitcoin and Ripple cryptocurrencies trading using Deep Reinforcement Learning algorithms

Dieu-Donne Fangnon, Armandine Sorel Kouyim Meli, Verlon Roel Mbingui, Phanie Dianelle Negho, Regis Konan Marcel Djaha, Lema Logamou Seknewna ยท 2025

Artificial intelligence (AI) has demonstrated remarkable success across various applications. In light of this trend, the field of automated trading has developed a keen interest in leveraging AI techโ€ฆ

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Engineering Preprint PDF DOI

Breast Cancer Classification in Deep Ultraviolet Fluorescence Images Using a Patch-Level Vision Transformer Framework

Pouya Afshin, David Helminiak, Tongtong Lu, Tina Yen, Julie M. Jorns, Mollie Patton, Bing Yu, Dong Hye Ye ยท 2025

Breast-conserving surgery (BCS) aims to completely remove malignant lesions while maximizing healthy tissue preservation. Intraoperative margin assessment is essential to achieve a balance between thoโ€ฆ

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Engineering Preprint PDF DOI

Autonomous Robotic Pruning in Orchards and Vineyards: a Review

Alessandro Navone, Mauro Martini, Marcello Chiaberge ยท 2025

Manual pruning is labor intensive and represents up to 25% of annual labor costs in fruit production, notably in apple orchards and vineyards where operational challenges and cost constraints limit thโ€ฆ

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Engineering Preprint PDF DOI

AI-CDA4All: Democratizing Cooperative Autonomous Driving for All Drivers via Affordable Dash-cam Hardware and Open-source AI Software

Shengming Yuan, Hao Zhou ยท 2025

As transportation technology advances, the demand for connected vehicle infrastructure has greatly increased to improve their efficiency and safety. One area of advancement, Cooperative Driving Automaโ€ฆ

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Engineering Preprint PDF DOI

RADE: A Neural Codec for Transmitting Speech over HF Radio Channels

David Rowe, Jean-Marc Valin ยท 2025

Speech compression is commonly used to send voice over radio channels in applications such as mobile telephony and two-way push-to-talk (PTT) radio. In classical systems, the speech codec is combined โ€ฆ

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Engineering Preprint PDF DOI

A New DAPO Algorithm for Stock Trading

Ruijian Zha, Bojun Liu ยท 2025

Recent advances in reinforcement learning, such as Dynamic Sampling Policy Optimization (DAPO), show strong performance when paired with large language models (LLMs). Motivated by this success, we askโ€ฆ

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