Results 101 to 110 of about 28,341 (292)

ФИЛЬТРАЦИЯ И КОРРЕЛЯЦИОННАЯ ОБРАБОТКА ИЗОБРАЖЕНИЙ С ПОМОЩЬЮ ТЕХНОЛОГИИ CUDA [PDF]

, 2016
The basic concepts and specificity of the programming technology of CUDA video cards are presented. The efficiency of the technology is demonstrated on image processing tasks.
E. N. Seredin, Б. А. Залесский, Э. Н. Середин, B. A. Zalesky   +3 more
core   +1 more source

Big Bird: A global dataset of birds in drone imagery annotated to species level

Remote Sensing in Ecology and Conservation, EarlyView.
Drones are a valuable tool for surveying birds, but manually detecting and identifying birds in drone images is costly. We assembled a diverse dataset of 23 865 images of birds captured with 21 different drones across 11 countries. We labelled 4824 of these images, detailing the location, species, posture category, age category, and sex of 49 990 birds
Joshua P. Wilson, Tatsuya Amano, Thomas Bregnballe, Alejandro Corregidor‐Castro, Roxane Francis, Diego Gallego‐García, Jarrod C. Hodgson, Landon R. Jones, César R. Luque‐Fernández, Dominik Marchowski, John McEvoy, Ann E. McKellar, W. Chris Oosthuizen, Christian Pfeifer, Martin Renner, José Hernán Sarasola, Mateo Sokač, Roberto Valle, Adam Zbyryt, Richard A. Fuller   +19 more
wiley   +1 more source

Analysis of a GPU implementation of Viola-Jones’ Algorithm for Features Selection

Journal of Computer Science and Technology, 2017
Faces and facial expressions recognition is an interesting topic for researchers in machine vision. Viola-Jones algorithm is the most spread algorithm for this task.
Germán Ezequiel Lescano, Pablo Santana Mansilla, Rosanna Costaguta   +2 more
doaj  

Time‐series digital camera photos combined with machine learning algorithms can realize accurate observation of flowering phenology

Remote Sensing in Ecology and Conservation, EarlyView.
Intelligent approaches are required to extract valuable phenological information from time‐series digital camera photos. In this research, we employed YOLO‐based object detection and semantic segmentation models to identify flowers and flower pixels, acquire flower count and flower cover data, and extract phenophases such as first, peak, and end ...
Chuangye Song, Yuan Jia, Lin Zhang, Dongxiu Wu   +3 more
wiley   +1 more source

Detecting Plateau Zokor (Eospalax baileyi) Mounds in UAV Imagery of Alpine Meadows Using Deep Learning Algorithms

Remote Sensing in Ecology and Conservation, EarlyView.
We developed PZM‐YOLO to automatically detect plateau zokor mounds in UAV imagery of alpine meadows. The model achieved reliable detection of small and densely distributed mounds under complex backgrounds, outperforming the baseline YOLOv5s. This framework supports mound counting, mound position, rodent impact assessment, and grassland restoration ...
Yang Yang, Limin Hua, Lianguo Wang, Jiazhen Li, Rui Dong, Siwei Yang   +5 more
wiley   +1 more source

Inferring Brown Bear Hair Snare Interactions by Automatically Detecting Bipedalism on Camera Trap Images Using Pose Estimation and a Multilayer Perceptron

Remote Sensing in Ecology and Conservation, EarlyView.
This study proposes an automated method to infer brown bear hair snare interactions by detecting bipedal behavior in camera‐trap images using a pose estimation model and a multilayer perceptron (MLP). A YOLO‐based model, fine‐tuned from humans and dogs to a custom dataset, achieved high performance (≈93% keypoint precision and ≈96% classification ...
Arnau Campanera‐Moliné, Víctor Sazatornil, Lluís Brotons, Felipe Lumbreras Ruiz, Robert Benavente, Maguiña Ramilo‐Henry, Cristina Ramos, Santiago Palazón, Daniel Ponsa   +8 more
wiley   +1 more source

Osmotic Remodeling of Extracellular Vesicles for Precision Nanomedicine

Small, EarlyView.
Hypotonic lysis in bidistilled water is used to remodel B lymphocyte–derived extracellular vesicles into cargo‐depleted, structurally preserved nanovesicles. The process reduces intraluminal proteins and nucleic acids, reshapes membrane composition, and enhances tumor‐cell uptake in vitro, while allowing proof‐of‐concept reloading with exogenous agents,
Francesca Susa, Lorenzo Arnaboldi, Veronica De Giorgis, Marco Ghirimoldi, Elettra Barberis, Marco Brucale, Francesco Valle, Mario Malerba, Marta Vallino, Angelo Musicò, Roberto Frigerio, Alessandro Gori, Vera Mugoni, Claudia Voena, Roberto Pisano, Fabrizio Pirri, Silvia Arpicco, Marcello Manfredi, Tania Limongi   +18 more
wiley   +1 more source

Baselining Large Language Model Performance in Systems Engineering Using SysEngBench

Systems Engineering, EarlyView.
ABSTRACT In the rapidly evolving field of artificial intelligence (AI), large language model s (LLMs) have demonstrated impressive capabilities in generating natural language. However, their proficiency in specialized domains, particularly in the field of systems engineering (SE), remains less explored and unquantified.
Ryan Bell, Ryan Longshore, Raymond Madachy, Ashlyn Hanrahan   +3 more
wiley   +1 more source

DQN‐Guided Subset‐Induced OCSVM Kernel Approximation for Imbalanced Anomaly Detection

IEEJ Transactions on Electrical and Electronic Engineering, EarlyView.
Anomaly detection under limited normal data remains a fundamental challenge due to severe class imbalance and scarcity of anomalies. We propose a novel framework that reformulates support vector selection in One‐Class SVM as a sequential decision‐making problem.
Wenqian Yu, Jiaying Wu, Jinglu Hu
wiley   +1 more source

SOLUTIONS FOR OPTIMIZING THE DATA PARALLEL PREFIX SUM ALGORITHM USING THE COMPUTE UNIFIED DEVICE ARCHITECTURE [PDF]

In this paper, we analyze solutions for optimizing the data parallel prefix sum function using the Compute Unified Device Architecture (CUDA) that provides a viable solution for accelerating a broad class of applications. The parallel prefix sum function
Alexandru Pîrjan, Dana-Mihaela Petroşanu, Ion Lungu   +2 more
core