Results 201 to 210 of about 79,263 (305)

UAV-based RGB and multispectral mango leaf disease detection with benchmarking of YOLOv5 to YOLOv10 and SeqOpt-optimised YOLOv8 for real-time edge deployment. [PDF]

PLoS One
Karthik RP, Murugesan G, Ballaji HK, Anitha J.   +3 more
europepmc   +1 more source

Cross‐Sectoral AI Integration Is Essential to Tackling Food Waste and Food Insecurity: A Roadmap for Developing Resilient Food Systems

Advanced Intelligent Systems, EarlyView.
As food insecurity and global food demands surge, artificial intelligence (AI)‐based technologies offer promising opportunities to reduce food loss and waste. In this perspective, current AI adoption across the food supply chain is assessed using various academic, industry, and policy sources.
Akansha Prasad, Hannah Mann, Lubna Najm, Shadman Khan, Carlos D. M. Filipe, Tohid F. Didar   +5 more
wiley   +1 more source

Brook: TEASAR skeletonization on NVIDIA GPUs

Giorgio Angelotti
openalex   +2 more sources

Correction to: Multi-center evaluation of radiomics and deep learning to stratify malignancy risk of IPMNs. [PDF]

Abdom Radiol (NY)
Bejar AM, Jaramillo Gonzalez M, Hong Z, Durak G, Keles E, Aktas HE, Zhang Z, Pan H, Jozwiak ZS, Bol F, Zhao L, Chen C, Spampinato C, Medetalibeyoglu A, Erturk SM, Kartal GD, Velichko Y, Agarunov E, Xu Z, Jambawalikar S, Schoots IG, Bruno MJ, Huang C, Gonda T, Bolan C, Miller FH, Wallace MB, Keswani RN, Tiwari P, Bagci U.   +29 more
europepmc   +1 more source

Revealing Hidden Raman Signatures Through Attention‐Based Spectral Unmixing

Advanced Intelligent Systems, EarlyView.
Weak Raman signatures are recovered from background‐dominated spectra using a transformer‐based, reference‐free spectral unmixing AI framework. Self‐attention reconstructs substrate contribution directly from mixed data, enabling reliable extraction of previously inaccessible vibrational features.
Dmitriy A. Poteryayev, Pietro Novelli, Annalisa Coriolano, Riccardo Dettori, Valentina Tozzini, Fabio Beltram, Massimiliano Pontil, Antonio Rossi, Stiven Forti, Camilla Coletti   +9 more
wiley   +1 more source

Dynamic Risk Inference Method for Chemical Industrial Inspection Based on Spatio-Temporal Scene Graphs. [PDF]

Sensors (Basel)
Zhou M, Wang L, Li S, Ding Z.
europepmc   +1 more source

Research on the Development of NVIDIA

Proceedings of the 4th International Conference on Humanities Science, Management and Education Technology (HSMET 2019), 2019
openaire   +1 more source

Resilient Multimodal Fusion for Robust Vulnerability Exploitability Prediction Under Data Degradation

Advanced Intelligent Systems, EarlyView.
Secure Fusion‐X harmonizes unstructured NVD descriptions with structured CVSS/CWE/CPE metadata via decision‐level fusion, overcoming the fragility of traditional unimodal models. Automated assessment of software vulnerability exploitability is essential for intelligent cyber defense, yet its effectiveness is often hindered by unstable, delayed, or ...
Mona Dolati, Seyedeh Leili Mirtaheri, Reza Shahbazian, Andrea Pugliese   +3 more
wiley   +1 more source

Near-real-time interactive N-body model of the left atrium for exploratory arrhythmia induction and ablation simulation. [PDF]

Heart Rhythm O2
Wyatt B, Rogers L, Bane M, Moor K, Alcorn P, Williams G, Brawner K, Wyatt M, Puelz C.   +8 more
europepmc   +1 more source

Graph Neural Network‐Based Reinforcement Learning for Decentralized Multi‐Robot Manipulation

Advanced Intelligent Systems, EarlyView.
Robot arms lifting a large object face a trade‐off: centralized controllers explode in parameters, while decentralized ones cannot coordinate. A GNN resolves this—each arm runs its own network but acts on the full team state, achieving centralized‐level coordination with decentralized execution. Trained across team sizes, a single policy scales to four‐
Tong Chen, Bo Fu, Dawn Tilbury, Kira Barton   +3 more
wiley   +1 more source