Results 191 to 200 of about 298,312 (304)

Power Defect Detection with Improved YOLOv12 and ROI Pseudo Point Cloud Visual Analytics. [PDF]

Sensors (Basel)
Xu M, Peng J.
europepmc   +1 more source

LANDSAT Estimation with Cloud Cover

, 1976
The problem addressed in this paper is crop acreage estimation techniques which utilize LANDSAT I imagery that is not cloud free. Several statistical techniques are proposed that would allow inferences about the population even if cloud cover is an extensive problem.
openaire   +1 more source

Impact of Biomimetic Pinna Shape Variation on Clutter Echoes: A Machine Learning Approach

Advanced Intelligent Systems, EarlyView.
Bats with dynamic ear structures navigate dense, echo‐rich environments, yet the echoes they receive are highly random. This study shows that machine learning can reliably detect structural signatures in these seemingly chaotic biosonar signals. The results open new directions for biologically inspired sensing, where time‐varying receiver shapes ...
Ibrahim Eshera, Sanmeel Lagad, Rolf Müller   +2 more
wiley   +1 more source

Quantification of the radiative forcing of contrails embedded in cirrus clouds. [PDF]

Nat Commun
Seelig T, Wolf K, Bellouin N, Tesche M.
europepmc   +1 more source

BMPCQA: Bioinspired Metaverse Point Cloud Quality Assessment Based on Large Multimodal Models

Advanced Intelligent Systems, EarlyView.
This study presents a bioinspired metaverse point cloud quality assessment metric, which simulates the human visual evaluation process to perform the point cloud quality assessment task. It first extracts rendering projection video features, normal image features, and point cloud patch features, which are then fed into a large multimodal model to ...
Huiyu Duan, Kang Fu, Sijing Wu, Yunhao Li, Zicheng Zhang, Qiang Hu, Xiongkuo Min, Guangtao Zhai   +7 more
wiley   +1 more source

A Deep Learning Model Detects Glaucoma Based on an OCT Report, but Where Should the Clinician Look to Identify Glaucomatous Damage? [PDF]

Transl Vis Sci Technol
Hood DC, Lau WT, Stowman AL, Gebhardt T, Mao G, La Bruna S, Leshno A, Tsamis E, Thakoor K.   +8 more
europepmc   +1 more source

Hierarchical Language Models for Semantic Navigation and Manipulation in an Aerial‐Ground Robotic System

Advanced Intelligent Systems, EarlyView.
A hierarchical multimodal framework coupling a large language model for task decomposition and semantic mapping with a fine‐tuned vision‐language model for semantic perception, enhanced by GridMask, is presented. An aerial‐ground robot team exploits the semantic map for global and local planning.
Haokun Liu, Zhaoqi Ma, Yunong Li, Junichiro Sugihara, Yicheng Chen, Jinjie Li, Moju Zhao   +6 more
wiley   +1 more source

Securing Generative Artificial Intelligence with Parallel Magnetic Tunnel Junction True Randomness

Advanced Intelligent Systems, EarlyView.
True random numbers can protect generative artificial intelligence (GAI) models from attacks. A highly parallel, spin‐transfer torque magnetic tunnel junction‐based system is demonstrated that generates high‐quality, energy‐efficient random numbers.
Youwei Bao, Shuhan Yang, Hyunsoo Yang
wiley   +1 more source

Dimensionless comparison of solar radiation time series data to address seasonality. [PDF]

Sci Rep
Li Y, Wang Y, Zhou W.
europepmc   +1 more source

Synthetic Electrocardiogram Spectrogram Generation Using Generative Adversarial Network‐Based Models: A Comparative Study

Advanced Intelligent Systems, EarlyView.
Cardiovascular diseases are leading death causes; electrocardiogram (ECG) analysis is slow, motivating machine learning and deep learning. This study compares deep convolutional generative adversarial network, conditional GAN, and Wasserstein GAN with gradient penalty (WGAN‐GP) for synthetic ECG spectrograms; Fréchet Inception Distance (FID) and ...
Giovanny Barbosa‐Casanova, Norelli Schettini, Winston Percybrooks, Begoña García‐Zapirain   +3 more
wiley   +1 more source