[PDF][PDF] Bird image classification using convolutional neural network transfer learning architectures
With the technological progress of human beings, more and more animal and bird species
are being endangered and sometimes even going to the verge of extinction. However, the …
are being endangered and sometimes even going to the verge of extinction. However, the …
Каскадный классификатор для обнаружения и идентификации птиц в видеопотоке
ЕВ Власов, НП Красненко - Информатика и …, 2024 - proceedings.spiiras.nw.ru
Аннотация В статье представлен разработанный метод и прототип программы для
определения наличия птиц в видеопотоке данных в режиме реального времени. Этот …
определения наличия птиц в видеопотоке данных в режиме реального времени. Этот …
PakhiderChobi: A Comprehensive Dataset for Real-time Detection of Bangladeshi Birds
M Ataullha, M Rahman… - 2023 26th International …, 2023 - ieeexplore.ieee.org
Urbanization and rapid development have led to a decline in natural habitats for birds,
posing a threat to avian biodiversity worldwide. This study addresses the crucial task of …
posing a threat to avian biodiversity worldwide. This study addresses the crucial task of …
Cascade classifier for the detection and identification of birds in a videostream
EV Vlasov, NP Krasnenko - Informatics and Automation, 2024 - journals.rcsi.science
A method and a prototype of the program for detecting the presence of birds in the video
data flow in real time are presented in the paper. The method is based on the cascade …
data flow in real time are presented in the paper. The method is based on the cascade …
Enhancing Bird Species Classification: A Weighted Average Transfer Learning Ensemble Approach
VRM Polisetty, SP Chokkalingam - 2024 2nd International …, 2024 - ieeexplore.ieee.org
With the escalating threat to avian life due to environmental degradation, the need for an
automatic bird image recognition system has become paramount. The diversity among the …
automatic bird image recognition system has become paramount. The diversity among the …
Adoption of Artificial Intelligence in the Ugandan Health Sector: a review of literature
A Mirugwe - Available at SSRN 4735326, 2024 - papers.ssrn.com
This paper presents a comprehensive literature review on the application of artificial
intelligence techniques in Ugandan healthcare and the medical industry. Recently, the data …
intelligence techniques in Ugandan healthcare and the medical industry. Recently, the data …
[PDF][PDF] Deteção de aves em ambientes urbanos utilizando Redes Neuronais Convolucionais
DS Isaías - 2023 - repositorio-aberto.up.pt
A invasão de aves em regiões urbanas tem vindo a ser um problema, o que levou à
necessidade de efetuar o seu controlo em ambientes citadinos. Para minimizar este …
necessidade de efetuar o seu controlo em ambientes citadinos. Para minimizar este …
Enhancing the classification of Finnish bird images through deep learning: a comparison and optimisation study of CNN architectures
Y Wang - 2024 - lutpub.lut.fi
Birds are an important indicator of the ecological environment, which is gradually
deteriorating due to industrial development and other factors. This study focuses on …
deteriorating due to industrial development and other factors. This study focuses on …
Bird Species Classification: Using CNN Models
U Nithin, A Somnath, V Dileep… - 2024 Third International …, 2024 - ieeexplore.ieee.org
This research employs Convolutional Neural Networks (CNNs) to identify bird species. A
dataset of 1701 curated images, featuring Abbotts booby, Abbotts babbler, Abyssinian …
dataset of 1701 curated images, featuring Abbotts booby, Abbotts babbler, Abyssinian …
Cervical Cancer Screening: Artificial Intelligence Algorithm For Automatic Diagnostic Support
A Mirugwe, C Ashaba - 2023 - researchsquare.com
Introduction: Cervical cancer is the fourth most prevalent cancer among women worldwide
and is a significant contributor to cancer-related deaths, with an estimated 300,000 women …
and is a significant contributor to cancer-related deaths, with an estimated 300,000 women …