AIMC Topic: Neural Networks, Computer

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A Residual-Inception U-Net (RIU-Net) Approach and Comparisons with U-Shaped CNN and Transformer Models for Building Segmentation from High-Resolution Satellite Images.

Sensors (Basel, Switzerland)
Building segmentation is crucial for applications extending from map production to urban planning. Nowadays, it is still a challenge due to CNNs' inability to model global context and Transformers' high memory need. In this study, 10 CNN and Transfor...

Evaluation Model of New Socialist Countryside Construction Based on a Multilayer Neural Network in a Complex Environment.

Journal of environmental and public health
The creation of a deep neural network model with numerous hidden layers enables the layer-by-layer extraction of features from the input high-dimensional data, enabling the identification of the data's low-dimensional nested structure and the develop...

Hybrid Fine-Tuning Strategy for Few-Shot Classification.

Computational intelligence and neuroscience
Few-shot classification aims to enable the network to acquire the ability of feature extraction and label prediction for the target categories given a few numbers of labeled samples. Current few-shot classification methods focus on the pretraining st...

Predicting the evolution trajectory of population-driven connectional brain templates using recurrent multigraph neural networks.

Medical image analysis
The mapping of the time-dependent evolution of the human brain connectivity using longitudinal and multimodal neuroimaging datasets provides insights into the development of neurological disorders and the way they alter the brain morphology, structur...

The Nature-Based Solutions Case-Based System: A hybrid expert system.

Journal of environmental management
Deriving knowledge and learning from past experiences is essential for the successful adoption of Nature-Based Solutions (NBS) as novel integrative solutions that involve many uncertainties. Past experiences in implementing NBS have been collected in...

One-shot many-to-many facial reenactment using Bi-Layer Graph Convolutional Networks.

Neural networks : the official journal of the International Neural Network Society
Facial reenactment is aimed at animating a source face image into a new place using a driving facial picture. In a few shot scenarios, the present strategies are designed with one or more identities or identity-sustained suffering protection challeng...

Degrees of algorithmic equivalence between the brain and its DNN models.

Trends in cognitive sciences
Deep neural networks (DNNs) have become powerful and increasingly ubiquitous tools to model human cognition, and often produce similar behaviors. For example, with their hierarchical, brain-inspired organization of computations, DNNs apparently categ...

A Two-Mode Underwater Smart Sensor Object for Precision Aquaculture Based on AIoT Technology.

Sensors (Basel, Switzerland)
Monitoring the status of culture fish is an essential task for precision aquaculture using a smart underwater imaging device as a non-intrusive way of sensing to monitor freely swimming fish even in turbid or low-ambient-light waters. This paper deve...

Comparative performance assessment of deep learning based image steganography techniques.

Scientific reports
Increasing data infringement while transmission and storage have become an apprehension for the data owners. Even the digital images transmitted over the network or stored at servers are prone to unauthorized access. However, several image steganogra...