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Convolutional Neural Networks accurately predict cover fractions of plant species and communities in Unmanned Aerial Vehicle imagery
Convolutional Neural Networks (CNN) deep learning invasive species orthophoto remote sensing tree species Unmanned Aerial Vehicles (UAV) vegetation succession
2024/1/19
Unmanned Aerial Vehicles (UAV) greatly extended our possibilities to acquire high resolution remote sensing data for assessing the spatial distribution of species composition and vegetation characteri...
Potential of Convolutional Neural Networks for Forest Mapping Using Sentinel-1 Interferometric Short Time Series
Synthetic Aperture Radar Sentinel-1 forest mapping deforestation monitoring deep learning convolutional neural networks
2023/12/1
The monitoring of land cover and land use patterns is pivotal in the joint effort to fight deforestation in the Amazon and study its relation to climate change effects with respect to anthropogenic ac...
医学部汪天富、雷柏英教授团队在《IEEE Transactions on Neural Networks and Learning Systems》上发表文章（图）
雷柏英教授 生物医学工程 深圳大学医学部
2023/10/23
近期，深圳大学医学部生物医学工程学院汪天富、雷柏英教授团队的研究成果《MHW-GAN: Multi-discriminator Hierarchical Wavelet Generative Adversarial Network for Multi-modal Image Fusion》在顶级期刊IEEE Transactions on Neural Networks and Learning ...
深圳大学医学部汪天富教授团队在《IEEE Transactions on Neural Networks and Learning Systems》上发表系列重要文章（图）
生物医学工程 汪天富教授 深圳大学医学部
2023/10/23
近日，医学部生物医学工程学院汪天富教授团队在人工智能领域顶级国际期刊《IEEE Transactions on Neural Networks and Learning Systems》（中科院大类一区，TOP期刊，IF:14.255）上发表了系列研究成果。
深圳大学医学部汪天富教授在《IEEE Transactions on Neural Networks and Learning Systems》上发表文章（图）
汪天富教授 深圳大学医学部 人工智能
2023/10/25
近日，深圳大学医学部生物医学工程学院汪天富教授团队的研究成果《Parameter-Free Loss for Class-Imbalanced Deep Learning in Image Classification》在人工智能领域顶级期刊IEEE Transactions on Neural Networks and Learning Systems（2020 IF: 10.451）上发表。该...
Comparison of partial least squares-discriminant analysis, support vector machines and deep neural networks for spectrometric classification of seed vigour in a broad range of tree species
least squares-discriminant analysis spectrometric classification seed tree species
2023/6/5
Seed vigour significantly influences the seed production and plant regeneration performance. The capability of NIR spectroscopy to identify seed vigour across multiple tree species rapidly and cost-ef...
Vegetation Cover Estimation Using Convolutional Neural Networks
CNN segmentation UAV vegetation cover estimation
2024/2/4
Vegetation is an important parameter in all bio- and ecosystems, and it should be monitored to conserve and restore the environment. This paper presents a design and implementation of a compact system...
nGraph-HE2: A High-Throughput Framework for Neural Network Inference on Encrypted Data
Privacy-Preserving Machine Learning Deep Learning Graph Compilers
2019/8/21
In previous work, Boemer et al. introduced nGraph-HE, an extension to the Intel nGraph deep learning (DL) compiler, that en- ables data scientists to deploy models with popular frameworks such as Tens...
Interpretable Encrypted Searchable Neural Networks
Searchable Encryption Searchable Neural Networks Probabilistic Learning
2019/8/19
In cloud security, traditional searchable encryption (SE) requires high computation and communication overhead for dynamic search and update. The clever combination of machine learning (ML) and SE may...
Neural Network Model Assessment for Side-Channel Analysis
Side-Channel Analysis Neural Networks Model Assessment
2019/6/19
Leakage assessment of cryptographic implementations with side-channel analysis relies on two important assumptions: leakage model and the number of side-channel traces. In the context of profiled side...
Efficient Multi-Key Homomorphic Encryption with Packed Ciphertexts with Application to Oblivious Neural Network Inference
multi-key homomorphic encryption packed ciphertext ring learning with errors
2019/5/21
Homomorphic Encryption (HE) is a cryptosystem which supports computation on encrypted data. López-Alt et al. (STOC 2012) proposed a generalized notion of HE, called Multi-Key Homomorphic Encryption (M...
Experimental Evaluation of Deep Neural Network Resistance Against Fault Injection Attacks
fault attack neural network deep learning
2019/5/13
Deep learning is becoming a basis of decision making systems in many application domains, such as autonomous vehicles, health systems, etc., where the risk of misclassification can lead to serious con...
We show that garbled circuits are a practical choice for secure evaluation of neural network classifiers. At the protocol level, we start with the garbling scheme of Ball, Malkin & Rosulek (ACM CCS 20...
VAULT MODELING WITH NEURAL NETWORKS
Automation Machine learning Modeling Neural Network Point cloud Vault
2019/3/1
Nowadays, the digital reconstruction of vaults is carried out using photogrammetric and laser scanning techniques able to capture the visible surface with dense point clouds. Then, different modeling ...
Secure Evaluation of Quantized Neural Networks
Machine Learning Multi-Party Computation Quantization
2019/2/27
Machine Learning models, and specially convolutional neural networks (CNNs), are at the heart of many day-to-day applications like image classification and speech recognition. The need for evaluating ...