AIMC Topic: Animals
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Bioinspired design and validation of a soft robotic end-effector with integrated shape memory alloy-driven suction capabilities.
Bioinspiration & biomimetics
Dec 2, 2024
The exploration of adaptive robotic systems capable of performing complex tasks in unstructured environments, such as underwater salvage operations, presents a significant challenge. Traditional rigid grippers often struggle with adaptability, wherea...
The Role of Artificial Intelligence and Machine Learning in Accelerating the Discovery and Development of Nanomedicine.
Pharmaceutical research
Dec 2, 2024
The unique potential of nanomedicine to address challenging health issues is rapidly advancing the field, leading to the generation of more effective products. However, these complex systems often pose several challenges with respect to their design ...
Parallel development of object recognition in newborn chicks and deep neural networks.
PLoS computational biology
Dec 2, 2024
How do newborns learn to see? We propose that visual systems are space-time fitters, meaning visual development can be understood as a blind fitting process (akin to evolution) in which visual systems gradually adapt to the spatiotemporal data distri...
Low Latency and Sparse Computing Spiking Neural Networks With Self-Driven Adaptive Threshold Plasticity.
IEEE transactions on neural networks and learning systems
Dec 2, 2024
Spiking neural networks (SNNs) have captivated the attention worldwide owing to their compelling advantages in low power consumption, high biological plausibility, and strong robustness. However, the intrinsic latency associated with SNNs during infe...
Identification of an immune-related gene panel for the diagnosis of pulmonary arterial hypertension using bioinformatics and machine learning.
International immunopharmacology
Nov 30, 2024
OBJECTIVE: This study aimed to screen an immune-related gene (IRG) panel and develop a novel approach for diagnosing pulmonary arterial hypertension (PAH) utilizing bioinformatics and machine learning (ML).
Spatial prediction of human brucellosis susceptibility using an explainable optimized adaptive neuro fuzzy inference system.
Acta tropica
Nov 30, 2024
Brucellosis, a zoonotic disease caused by Brucella bacteria, poses significant risks to human, livestock, and wildlife health, alongside economic losses from livestock morbidity and mortality. This study improves Human Brucellosis Susceptibility Mapp...
AI-powered techniques in anatomical imaging: Impacts on veterinary diagnostics and surgery.
Annals of anatomy = Anatomischer Anzeiger : official organ of the Anatomische Gesellschaft
Nov 29, 2024
BACKGROUND: Artificial intelligence (AI) is rapidly transforming veterinary diagnostic imaging, offering improved accuracy, speed, and efficiency in analyzing complex anatomical structures. AI-powered systems, including deep learning and convolutiona...
Analysis and actuation design of a novel at-scale 3-DOF biomimetic flapping-wing mechanism inspired by flying insects.
Bioinspiration & biomimetics
Nov 29, 2024
Insects' flight is imbued with endless mysteries, offering valuable inspiration to the flapping-wing robots. Particularly, the multi-mode wingbeat motion such as flapping, sweeping and twisting in coordination presents advantages in promoting unstead...
Using supervised machine learning algorithms to predict bovine leukemia virus seropositivity in dairy cattle in Florida: A 10-year retrospective study.
Preventive veterinary medicine
Nov 28, 2024
Supervised machine-learning (SML) algorithms are potentially powerful tools that may be used for screening cows for infectious diseases such as bovine leukemia virus (BLV) infection. Here, we compared six different SML algorithms to identify the most...
Design optimization of bimetal-modified biochar for enhanced phosphate removal performance in livestock wastewater using machine learning.
Bioresource technology
Nov 28, 2024
Mg-modified biochar shows high adsorption performance under weakly acidic and neutral water conditions. However, its phosphate removal efficiency markedly decreases in naturally alkaline wastewater, such as that released in livestock farming (anaerob...
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