AIMC Topic: Entropy

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Essential genes identification model based on sequence feature map and graph convolutional neural network.

BMC genomics Jan 10, 2024
BACKGROUND: Essential genes encode functions that play a vital role in the life activities of organisms, encompassing growth, development, immune system functioning, and cell structure maintenance. Conventional experimental techniques for identifying...
Neural Networks, Computer Algorithms Genes, Essential Entropy Genomics
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Analyzing Molecular Dynamics Trajectories Thermodynamically through Artificial Intelligence.

Journal of chemical theory and computation Jan 9, 2024
Molecular dynamics simulations produce trajectories that correspond to vast amounts of structure when exploring biochemical processes. Extracting valuable information, e.g., important intermediate states and collective variables (CVs) that describe t...
Algorithms Artificial Intelligence Entropy Molecular Dynamics Simulation
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Contrastive learning of graphs under label noise.

Neural networks : the official journal of the International Neural Network Society Jan 6, 2024
In the domain of graph-structured data learning, semi-supervised node classification serves as a critical task, relying mainly on the information from unlabeled nodes and a minor fraction of labeled nodes for training. However, real-world graph-struc...
Semantics Learning Entropy Neural Networks, Computer
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ML-FGAT: Identification of multi-label protein subcellular localization by interpretable graph attention networks and feature-generative adversarial networks.

Computers in biology and medicine Jan 2, 2024
The prediction of multi-label protein subcellular localization (SCL) is a pivotal area in bioinformatics research. Recent advancements in protein structure research have facilitated the application of graph neural networks. This paper introduces a no...
Computational Biology Discriminant Analysis Neural Networks, Computer Physical Examination Entropy Humans
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A validation of an entropy-based artificial intelligence for ultrasound data in breast tumors.

BMC medical informatics and decision making Jan 2, 2024
BACKGROUND: The application of artificial intelligence (AI) in the ultrasound (US) diagnosis of breast cancer (BCa) is increasingly prevalent. However, the impact of US-probe frequencies on the diagnostic efficacy of AI models has not been clearly es...
Artificial Intelligence Ultrasonography Algorithms Entropy Humans Breast Neoplasms Female
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Memristor-induced hyperchaos, multiscroll and extreme multistability in fractional-order HNN: Image encryption and FPGA implementation.

Neural networks : the official journal of the International Neural Network Society Dec 5, 2023
Fractional-order differentiation (FOD) can record information from the past, present, and future. Compared with integer-order systems, FOD systems have higher complexity and more accurate ability to describe the real world. In this paper, two types o...
Entropy Knowledge Neural Networks, Computer Neurons Diffusion
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A Hybrid Deep Learning Emotion Classification System Using Multimodal Data.

Sensors (Basel, Switzerland) Nov 22, 2023
This paper proposes a hybrid deep learning emotion classification system (HDECS), a hybrid multimodal deep learning system designed for emotion classification in a specific national language. Emotion classification is important in diverse fields, inc...
Communication Deep Learning Humans Entropy Emotions
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Comparative Study of Single-stranded Oligonucleotides Secondary Structure Prediction Tools.

BMC bioinformatics Nov 8, 2023
BACKGROUND: Single-stranded nucleic acids (ssNAs) have important biological roles and a high biotechnological potential linked to their ability to bind to numerous molecular targets. This depends on the different spatial conformations they can assume...
Algorithms Entropy RNA Artificial Intelligence Oligonucleotides Nucleic Acid Conformation
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Double graph correlation encryption based on hyperchaos.

PloS one Sep 28, 2023
Preventing unauthorized access to sensitive data has always been one of the main concerns in the field of information security. Accordingly, various solutions have been proposed to meet this requirement, among which encryption can be considered as on...
Correlation of Data Artificial Intelligence Confusion Entropy Diffusion Humans
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Pilot Analysis of Surgeon Instrument Utilization Signatures Based on Shannon Entropy and Deep Learning for Surgeon Performance Assessment in a Cadaveric Carotid Artery Injury Control Simulation.

Operative neurosurgery (Hagerstown, Md.) Sep 1, 2023
BACKGROUND AND OBJECTIVES: Assessment and feedback are critical to surgical education, but direct observational feedback by experts is rarely provided because of time constraints and is typically only qualitative. Automated, video-based, quantitative...
Carotid Artery Injuries Entropy Humans Cadaver Surgeons Deep Learning Hemorrhage
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