A5020687129- Animal Vocal Communication and Behavior
- Bat Biology and Ecology Studies
- Species Distribution and Climate Change
- Marine animal studies overview
- Music and Audio Processing
- Physiological and biochemical adaptations
- Opportunistic and Delay-Tolerant Networks
- Caching and Content Delivery
- Digital Imaging for Blood Diseases
- Amphibian and Reptile Biology
- Animal and Plant Science Education
- Video Analysis and Summarization
- Advanced Image and Video Retrieval Techniques
- Age of Information Optimization
- Identification and Quantification in Food
- Wildlife Ecology and Conservation
- Insect and Arachnid Ecology and Behavior
- Animal Ecology and Behavior Studies
- Multimodal Machine Learning Applications
- Speech and Audio Processing
Philipps University of Marburg
2022-2025
Physiological parameters have the potential to serve as valuable early warning indicators for conservation of animal populations. However, measuring physiological adaptations in wildlife is often challenging, due intrinsic differences causing natural variations measures between individuals across species. This study aimed at addressing this by investigating influence factors, including sex, age, body condition, and incubation eggs on H/L ratio a forest bird community. As measure, we used...
Abstract Ecosystem functions and services are severely threatened by unprecedented global loss in biodiversity. To counteract these trends, it is essential to develop systems monitor changes biodiversity for planning, evaluating, implementing conservation mitigation actions. However, the implementation of monitoring suffers from a trade‐off between grain (i.e., level detail), extent number study sites), temporal repetition. Here, we present an applied realized networked sensor system...
Avian blood analysis is a fundamental method for investigating wide range of topics concerning individual birds and populations birds. Determining precise cell counts helps researchers gain insights into the health condition For example, ratio heterophils to lymphocytes (H/L ratio) well-established index comparing relative stress load. However, such measurements are currently often obtained manually by human experts. In this article, we present novel approach automatically quantify avian red...
Abstract Most machine learning methods for animal recognition in camera trap images are limited to mammal identification and group birds into a single class. Machine visually discriminating birds, turn, cannot discriminate between mammals not designed images. The authors present deep neural network models recognise both bird species They train classification as well predicting the taxonomy, that is, genus, family, order, group, class names. Different architectures, including ResNet,...
Physiological stress parameters have the potential to serve as valuable early warning indicators for conservation of animal populations. However, measuring in wildlife is often challenging, due lack knowledge about baseline levels, and intrinsic differences between individuals across species. This study aimed at filling this gap by investigating influence factors, including sex, age, body condition, reproductive status on physiological a forest bird community. For we used heterophil...
Monitoring and mitigating the continuous decline of biodiversity is a key global challenge to preserve existential basis human life. Bats as one most widespread species among terrestrial mammals are excellent indicators for hence health an ecosystem. Typically, bats monitored by analyzing ultrasonic sound recordings. Stateof-the-art deep learning approaches automatic bat detection recognition commonly rely on audio spectrogram classification models based fixed time segments, lacking exact...
Disruption-tolerant networks (DTNs) have a wide range of applications, such as emergencies where traditional communication infrastructure has been destroyed, remote rural deployments never existed, and environmental monitoring animals are equipped with sensors transmit data whenever they come into contact base station. Using the de-facto DTN protocol standard, i.e., Bundle Protocol version 7 (BPv7), nodes via so-called Convergence Layer Protocols (CLPs) that act general abstractions for...