AIMC Topic: Entropy

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S2LIC: Learned image compression with the SwinV2 block, Adaptive Channel-wise and Global-inter attention Context.

Neural networks : the official journal of the International Neural Network Society May 19, 2025
Recently, deep learning technology has been successfully applied in the field of image compression, leading to superior rate-distortion performance. It is crucial to design an effective and efficient entropy model to estimate the probability distribu...
Neural Networks, Computer Algorithms Deep Learning Humans Entropy Attention Data Compression Image Processing, Computer-Assisted
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Entropy-driven deep learning framework for epilepsy detection using electro encephalogram signals.

Neuroscience May 5, 2025
Epilepsy is one of the most frequently occurring neurological disorders that require early and accurate detection. This paper introduces a novel approach for the automatic identification of epilepsy in EEG signals by incorporating advanced entropy-ba...
Humans Neural Networks, Computer Epilepsy Signal Processing, Computer-Assisted Entropy Deep Learning Electroencephalography
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TasteNet: A novel deep learning approach for EEG-based basic taste perception recognition using CEEMDAN domain entropy features.

Journal of neuroscience methods Apr 30, 2025
BACKGROUND: Taste perception is the process by which the gustatory system detects and interprets chemical stimuli from food and beverages, involving activation of taste receptors on the tongue. Analyzing taste perception is essential for understandin...
Deep Learning Electroencephalography Signal Processing, Computer-Assisted Adult Male Humans Neural Networks, Computer Female Entropy Young Adult Brain Taste Perception
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Leveraging vision transformers and entropy-based attention for accurate micro-expression recognition.

Scientific reports Apr 21, 2025
Micro-expressions are difficult to fake and inherently truthful, making micro-expression recognition technology widely applicable across various domains. With the development of artificial intelligence, the accuracy and efficiency of micro-expression...
Humans Algorithms Facial Expression Artificial Intelligence Entropy
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Machine learning-based differentiation of schizophrenia and bipolar disorder using multiscale fuzzy entropy and relative power from resting-state EEG.

Translational psychiatry Apr 12, 2025
Schizophrenia (SZ) and bipolar disorder (BD) pose diagnostic challenges due to overlapping clinical symptoms and genetic factors, often resulting in misdiagnosis and suboptimal treatment outcomes. This study aimed to identify EEG-based biomarkers tha...
Electroencephalography Schizophrenia Entropy Fuzzy Logic Diagnosis, Differential Sensitivity and Specificity Male Machine Learning Bipolar Disorder Adult Female Support Vector Machine Middle Aged Young Adult Humans
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Integrating lightweight convolutional neural network with entropy-informed channel attention and adaptive spatial attention for OCT-based retinal disease classification.

Computers in biology and medicine Apr 1, 2025
This article proposes an effective and lightweight contextual convolutional neural network architecture called LOCT-Net for classifying retinal diseases. The LOCT-Net adopts nested residual blocks to capture the local patterns from the optical cohere...
Entropy Humans Neural Networks, Computer Tomography, Optical Coherence Retinal Diseases Convolutional Neural Networks
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Informational embodiment: Computational role of information structure in codes and robots.

Physics of life reviews Mar 21, 2025
The body morphology plays an important role in the way information is perceived and processed by an agent. We address an information theory (IT) account on how the precision of sensors, the accuracy of motors, their placement, the body geometry, shap...
Robotics Entropy Information Theory Humans
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Non-customized data asset evaluation based on knowledge graph and value entropy.

PloS one Mar 18, 2025
With the rapid expansion of non-customized data assets, developing reliable and objective methods for their valuation has become essential. However, current evaluation techniques often face challenges such as incomplete indicator systems and an over-...
Humans Entropy Models, Economic Neural Networks, Computer
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Global Cross-Entropy Loss for Deep Face Recognition.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society Mar 11, 2025
Contemporary deep face recognition techniques predominantly utilize the Softmax loss function, designed based on the similarities between sample features and class prototypes. These similarities can be categorized into four types: in-sample target si...
Entropy Algorithms Image Processing, Computer-Assisted Humans Databases, Factual Deep Learning Automated Facial Recognition Face Biometric Identification
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Simulation of human-vehicle interaction at right-turn unsignalized intersections: A game-theoretic deep maximum entropy inverse reinforcement learning method.

Accident; analysis and prevention Feb 19, 2025
The safety of pedestrians in urban transportation systems has emerged as a significant research topic. As a vulnerable group within this transportation framework, pedestrians encounter heightened safety risks in complex urban road environments. Prote...
Game Theory Markov Chains Entropy Reinforcement, Psychology Accidents, Traffic Safety Humans Algorithms Environment Design Computer Simulation Walking Deep Learning Pedestrians
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