AIMC Topic: Reproduction

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An artificial intelligence-based model for predicting reproductive toxicity of bisphenol analogues mixtures to the rotifer Brachionus calyciflorus.

The Science of the total environment Apr 16, 2024
The joint toxicity effects of mixtures, particularly reproductive toxicity, one of the main causes of aquatic ecosystem degradation, are often overlooked as it is impractical to test all mixtures. This study developed and evaluated the following mode...
Water Pollutants, Chemical Phenols Artificial Intelligence Animals Rotifera Quantitative Structure-Activity Relationship Reproduction Benzhydryl Compounds
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DTLR-CS: Deep tensor low rank channel cross fusion neural network for reproductive cell segmentation.

PloS one Nov 30, 2023
In recent years, with the development of deep learning technology, deep neural networks have been widely used in the field of medical image segmentation. U-shaped Network(U-Net) is a segmentation network proposed for medical images based on full-conv...
Neural Networks, Computer Image Processing, Computer-Assisted Data Compression Algorithms Reproduction Semantic Differential
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Stochastic representation of many-body quantum states.

Nature communications Jun 16, 2023
The quantum many-body problem is ultimately a curse of dimensionality: the state of a system with many particles is determined by a function with many dimensions, which rapidly becomes difficult to efficiently store, evaluate and manipulate numerical...
Neural Networks, Computer Machine Learning Reproduction Upper Extremity
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Unlock the algorithms: regulation of adaptive algorithms in reproduction.

Fertility and sterility May 20, 2023
In the USA, the Food and Drug Administration plans to regulate artificial intelligence and machine learning software systems as medical devices to improve the quality, consistency, and transparency of their performance across specific age, racial, an...
Humans Artificial Intelligence Algorithms Reproduction Machine Learning Software
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Application of grey feed forward back propagation-neural network model based on wavelet denoising to predict the residual settlement of goafs.

PloS one May 4, 2023
To study the residual settlement of goaf's law and prediction model, we investigated the Mentougou mining area in Beijing as an example. Using MATLAB software, the wavelet threshold denoising method was used to optimize measured data, and the grey mo...
Engineering Reproduction Wavelet Analysis Neural Networks, Computer Forecasting
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New horizons in human sperm selection for assisted reproduction.

Frontiers in endocrinology Feb 22, 2023
Male infertility is a commonly encountered pathology that is estimated to be a contributory factor in approximately 50% of couples seeking recourse to assisted reproductive technologies. Upon clinical presentation, such males are commonly subjected t...
Humans Artificial Intelligence Pregnancy Spermatozoa Proteomics Infertility, Male Semen Female Reproduction Male
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Medical microrobots in reproductive medicine from the bench to the clinic.

Nature communications Feb 9, 2023
Medical microrobotics is an emerging field that aims at non-invasive diagnosis and therapy inside the human body through miniaturized sensors and actuators. Such microrobots can be tethered (e.g., smart microcatheters, microendoscopes) or untethered ...
Robotics Reproduction Female Animals Nanomedicine Reproductive Medicine Humans Technology
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Major evolutionary transitions in individuality between humans and AI.

Philosophical transactions of the Royal Society of London. Series B, Biological sciences Jan 23, 2023
That humans might undergo future evolutionary transitions in individuality (ETIs) seems fanciful. However, drawing upon recent thinking concerning the origins of properties that underpin ETIs, I argue that certain ETIs are imminently realizable. Cent...
Biological Evolution Symbiosis Algorithms Reproduction Artificial Intelligence Humans
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A New Approach to Optimize SVM for Insulator State Identification Based on Improved PSO Algorithm.

Sensors (Basel, Switzerland) Dec 27, 2022
The failure of insulators may seriously threaten the safe operation of the power system, where the state detection of high-voltage insulators is a must for the normal and safe operation of the power system. Based on the data of insulators in aerial i...
Random Forest Neural Networks, Computer Reproduction Algorithms Support Vector Machine
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A Novel Anomaly-Based Intrusion Detection Model Using PSOGWO-Optimized BP Neural Network and GA-Based Feature Selection.

Sensors (Basel, Switzerland) Nov 30, 2022
Intrusion detection systems (IDS) are crucial for network security because they enable detection of and response to malicious traffic. However, as next-generation communications networks become increasingly diversified and interconnected, intrusion d...
Reproduction Algorithms Neural Networks, Computer Communication
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