Results 151 to 160 of about 117,293 (275)

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

Towards the Development of a Deep Learning Framework Using Adaptive and Non-Adaptive Time-Frequency Features for EEG-Based Depression Therapy Prediction. [PDF]

Brain Sci
Akbari H, Bagherzadeh S, Sedehi JF, Nawaz R, Rostami R, Kazemi R, Muhammad S, Chen H, Mete M.   +8 more
europepmc   +1 more source

Deep learning‐based super‐resolution reconstruction and improved YOLOv9 for efficient benthos detection: a case study at Lake Hamana, Japan

Remote Sensing in Ecology and Conservation, EarlyView.
This study presents a UAV‐based framework that integrates deep learning‐based super‐resolution reconstruction and an enhanced YOLO detector to improve centimetre‐scale benthic organism monitoring. Using hermit crabs in Lake Hamana, a coastal lagoon in Japan, as a case study, the method substantially enhanced small‐object detection performance ...
Fan Zhao, Bangzhang Ma, Dianhan Xi, Jiaqi Wang, Yijia Chen, Yongying Liu, Xinlei Shao, Mowen Zhang, Guocheng Zhang, Jundong Chen, Katsunori Mizuno   +10 more
wiley   +1 more source

Object tracking algorithm based on deformable attention mechanism. [PDF]

Sci Rep
Liu Q, Yu N, Cheng J.
europepmc   +1 more source

Lightweight Convolutional Neural Networks Model and Data Augmentation‐Based Background Regression for Rail Surface Defect Detection

Artificial Intelligence for Engineering, EarlyView.
An ultra‐lightweight semantic segmentation network RailNet with only 0.905 M parameters is proposed for rail surface defect detection. Combined with a CDBM image enhancement and GAN‐based data augmentation, RailNet achieves superior segmentation accuracy and real‐time speed on edge devices.
Ziqing Wu, Weilong Niu, Xiaoguang Sun, Ting Qu, Yihui Zhu   +4 more
wiley   +1 more source

Enabling ankle-brachial index prediction from doppler sounds using deep learning. [PDF]

NPJ Cardiovasc Health
Rao A, Battenfield K, Fereydooni A, Chaudhari A, Aalami O.   +4 more
europepmc   +1 more source

Stochastic Poisson-embedded privacy framework for federated learning with secure homomorphic encryption in medical AI. [PDF]

Sci Rep
Gomathi R, Saranya K, Mahaboob John YM, Mary GLR.   +3 more
europepmc   +1 more source

Performance of federated versus centralized learning for mammography classification across film-digital domain shift. [PDF]

Front Digit Health
Ali Y, Müller J, Weinmann A, Gregori J.
europepmc   +1 more source

DMSCA: dynamic multi-scale channel-spatial attention for enhanced feature representation in convolutional neural networks. [PDF]

Sci Rep
Zong L, Nan SJ, Die ZF, Peng HJ.
europepmc   +1 more source

Integrated framework utilizing scene text detection and recognition techniques for enhancing point of interest extraction from name boards in all Indic languages. [PDF]

Sci Rep
Kashyap AK, Upadhya M, Panwar VS, Chandrakar V.   +3 more
europepmc   +1 more source