AIMC Topic: Animals
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Understanding and predicting animal movements and distributions in the Anthropocene.
The Journal of animal ecology
Apr 4, 2025
Predicting animal movements and spatial distributions is crucial for our comprehension of ecological processes and provides key evidence for conserving and managing populations, species and ecosystems. Notwithstanding considerable progress in movemen...
Artificial Intelligence for the Discovery of Safe and Effective Flame Retardants.
Environmental science & technology
Apr 4, 2025
Organophosphorus flame retardants (OPFRs) are important chemical additives that are used in commercial products. However, owing to increasing health concerns, the discovery of new OPFRs has become imperative. Herein, we propose an explainable artific...
Wild horseshoe crab image denoising based on CNN-transformer architecture.
Scientific reports
Apr 4, 2025
The natural habitats of wild horseshoe crabs (such as beaches, shallow water areas, and intertidal sediments) are complex, posing challenges for image capture, which is often affected by real noise factors. Deep learning models are widely used in ima...
An innovative underdriven multi-degree-of-freedom sea turtle hydrofoil design.
Bioinspiration & biomimetics
Apr 4, 2025
This study presents a new design for a multi-degree-of-freedom underdriven mechanism. The aim is to achieve efficient bionic motion of a sea turtle hydrofoil with multi-degrees-of-freedom using a single drive source. The design focuses on the kinemat...
Prior Visual-Guided Self-Supervised Learning Enables Color Vignetting Correction for High-Throughput Microscopic Imaging.
IEEE journal of biomedical and health informatics
Apr 4, 2025
Vignetting constitutes a prevalent optical degradation that significantly compromises the quality of biomedical microscopic imaging. However, a robust and efficient vignetting correction methodology in multi-channel microscopic images remains absent ...
Robust Sensory Information Reconstruction and Classification With Augmented Spikes.
IEEE transactions on neural networks and learning systems
Apr 4, 2025
Sensory information recognition is primarily processed through the ventral and dorsal visual pathways in the primate brain visual system, which exhibits layered feature representations bearing a strong resemblance to convolutional neural networks (CN...
Design and Implementation of Pavlovian Associative Memory Based on DNA Neurons.
IEEE transactions on neural networks and learning systems
Apr 4, 2025
In the field of biocomputing and neural networks, deoxyribonucleic acid (DNA) strand displacement (DSD) technology performs well in computation, programming, and information processing. In this article, the multiplication gate, addition gate, and thr...
C2BNet: A Deep Learning Architecture With Coupled Composite Backbone for Parasitic Egg Detection in Microscopic Images.
IEEE journal of biomedical and health informatics
Apr 4, 2025
Internet of Medical Things (IoMT) enabled by artificial intelligence (AI) technologies can facilitate automatic diagnosis and management of chronic diseases (e.g., intestinal parasitic infection) based on 2D microscopic images. To improve model perfo...
Characterization of Enterocytozoon hepatopenaei infection stages in shrimp using machine learning and gene network analysis.
Journal of invertebrate pathology
Apr 3, 2025
Enterocytozoon hepatopenaei (EHP), causing hepatopancreatic microsporidiosis (HPM), significantly impacts Litopenaeus vannamei, leading to economic losses. Using bioinformatics and machine learning, this study characterized EHP infection stages and h...
A Novel Theranostic Strategy for Malignant Pulmonary Nodules by Targeted CECAM6 with Zr/I-Labeled Tinurilimab.
Advanced science (Weinheim, Baden-Wurttemberg, Germany)
Apr 3, 2025
Lung adenocarcinoma (LUAD) constitutes a major cause of cancer-related fatalities worldwide. Early identification of malignant pulmonary nodules constitutes the most effective approach to reducing the mortality of LUAD. Despite the wide application o...
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