AIMC Topic: Birds

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Predicting Zoonotic Risk of Influenza A Viruses from Host Tropism Protein Signature Using Random Forest.

International journal of molecular sciences
Influenza A viruses remain a significant health problem, especially when a novel subtype emerges from the avian population to cause severe outbreaks in humans. Zoonotic viruses arise from the animal population as a result of mutations and reassortmen...

Bio-inspired vision based robot control using featureless estimations of time-to-contact.

Bioinspiration & biomimetics
Marvelous vision based dynamic behaviors of insects and birds such as perching, landing, and obstacle avoidance have inspired scientists to propose the idea of time-to-contact, which is defined as the time for a moving observer to contact an object o...

An Integrated Method Based on PSO and EDA for the Max-Cut Problem.

Computational intelligence and neuroscience
The max-cut problem is NP-hard combinatorial optimization problem with many real world applications. In this paper, we propose an integrated method based on particle swarm optimization and estimation of distribution algorithm (PSO-EDA) for solving th...

Animal-to-robot social attachment: initial requisites in a gallinaceous bird.

Bioinspiration & biomimetics
Animal-Robot Interaction experiments have demonstrated their usefulness to understand the social behaviour of a growing number of animal species. In order to study the mechanisms of social influences (from parents and peers) on behavioural developmen...

Analytical model and stability analysis of the leading edge spar of a passively morphing ornithopter wing.

Bioinspiration & biomimetics
This paper presents the stability analysis of the leading edge spar of a flapping wing unmanned air vehicle with a compliant spine inserted in it. The compliant spine is a mechanism that was designed to be flexible during the upstroke and stiff durin...

On extracting design principles from biology: II. Case study-the effect of knee direction on bipedal robot running efficiency.

Bioinspiration & biomimetics
Comparing the leg of an ostrich to that of a human suggests an important question to legged robot designers: should a robot's leg joint bend in the direction of running ('forwards') or opposite ('backwards')? Biological studies cannot answer this que...

Generative Artificial Intelligence-based Surveillance for Avian Influenza Across a Statewide Healthcare System.

Clinical infectious diseases : an official publication of the Infectious Diseases Society of America
Among all 2024 emergency department visits for acute respiratory illness or conjunctivitis across a statewide healthcare system (n = 13 494), generative artificial intelligence-based surveillance with adjunctive human review rapidly and cost-effectiv...

PhenoLearn: a user-friendly toolkit for image annotation and deep learning-based phenotyping for biological datasets.

Journal of evolutionary biology
The digitization of natural history specimens has unlocked opportunities for large-scale phenotypic trait analysis. In recent years, deep learning has shown significant results in accurately predicting annotations on 2D specimen photographs. However,...

Temporal insights into ecological community: Advancing waterbird monitoring with dome camera and deep learning.

Journal of environmental management
Biodiversity monitoring is critical for conservation and management. However, efficient species monitoring is often hindered by the complexities of ecological dynamics and the constraints of conventional techniques. This study presents an automated o...

Comparing point counts, passive acoustic monitoring, citizen science and machine learning for bird species monitoring in the Mount Kenya ecosystem.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences
Biodiversity loss is a pressing challenge, with ecosystems across the world under threat from factors such as human encroachment, over exploitation and climate change. It is important to increase ecosystem monitoring efforts to provide actionable ins...