3.327 hasil untuk machine learning
Menampilkan 961–980 · 0,63 detik · RSS
-
Artikel Jurnal Teks lengkap
Deep Learning for Fading Channel Prediction
…upon multi-antenna fading channels. Numerical results reveal that deep learning brings a notable performance gain compared with the conventional predictors built on shallow recurrent neural networks.
-
Artikel Jurnal Teks lengkap
Image Quality Assessment Using Contrastive Learning
We consider the problem of obtaining image quality representations in a self-supervised manner. We use prediction of distortion type and degree as an auxiliary task to learn features from an unlabeled image dataset containing a mixture of synthetic and realistic distortions. We then train a deep…
-
Artikel Jurnal Teks lengkap
Deep Gradient Learning for Efficient Camouflaged Object Detection
Abstract This paper introduces deep gradient network (DGNet), a novel deep framework that exploits object gradient supervision for camouflaged object detection (COD). It decouples the task into two connected branches, i.e., a context and a texture encoder. The essential connection is the…
-
Artikel Jurnal Teks lengkap
Geometry-enhanced molecular representation learning for property prediction
Abstract Effective molecular representation learning is of great importance to facilitate molecular property prediction. Recent advances for molecular representation learning have shown great promise in applying graph neural networks to model molecules. Moreover, a few recent studies design…
-
Artikel Jurnal Teks lengkap
Deep Residual Learning for Image Recognition: A Survey
…techniques. We also discuss some open questions related to residual learning as well as possible applications of Deep Residual Networks beyond ImageNet. Finally, we discuss some issues that still need to be resolved before deep residual learning can be applied on more complex problems.
-
Artikel Jurnal Teks lengkap
All-printed soft human-machine interface for robotic physicochemical sensing
…with an all-printed mass-producible soft electronic skin-based human-machine interface. A scalable inkjet printing technology with custom-developed nanomaterial inks was used to manufacture flexible physicochemical sensor arrays for electrophysiology recording, tactile perception, and robotic…
-
Artikel Jurnal Teks lengkap
Medical image analysis using deep learning algorithms
In the field of medical image analysis within deep learning (DL), the importance of employing advanced DL techniques cannot be overstated. DL has achieved impressive results in various areas, making it particularly noteworthy for medical image analysis in healthcare. The integration of DL with…
-
Artikel Jurnal Teks lengkap
The Emerging Trends of Multi-Label Learning
Exabytes of data are generated daily by humans, leading to the growing needs for new efforts in dealing with the grand challenges for multi-label learning brought by big data. For example, extreme multi-label classification is an active and rapidly growing research area that deals with…
-
Artikel Jurnal Teks lengkap
Image Segmentation Using Deep Learning: A Survey
…found in the literature. Against this backdrop, the broad success of deep learning (DL) has prompted the development of new image segmentation approaches leveraging DL models. We provide a comprehensive review of this recent literature, covering the spectrum of pioneering efforts in semantic and…
-
Artikel Jurnal Teks lengkap
Communication-efficient federated learning via knowledge distillation
Federated learning is a privacy-preserving machine learning technique to train intelligent models from decentralized data, which enables exploiting private data by communicating local model updates in each iteration of model learning rather than the raw data. However, model updates can be extremely…
-
Artikel Jurnal Teks lengkap
Towards Personalized Federated Learning
…AI. This has contributed to the popularity of Federated Learning (FL), the leading paradigm for the training of machine learning models on data silos in a privacy-preserving manner. In this survey, we explore the domain of personalized FL (PFL) to address the fundamental challenges of FL on…
-
Artikel Jurnal
Dynamic-Fusion-Based Federated Learning for COVID-19 Detection
Medical diagnostic image analysis (e.g., CT scan or X-Ray) using machine learning is an efficient and accurate way to detect COVID-19 infections. However, the sharing of diagnostic images across medical institutions is usually prohibited due to patients' privacy concerns. This causes the issue of…
-
Artikel Jurnal Teks lengkap
Annotation-efficient deep learning for automatic medical image segmentation
Automatic medical image segmentation plays a critical role in scientific research and medical care. Existing high-performance deep learning methods typically rely on large training datasets with high-quality manual annotations, which are difficult to obtain in many clinical applications. Here, we…
-
Artikel Jurnal Teks lengkap
Fusing physics-based and deep learning models for prognostics
…fusing the information from physics-based performance models with deep learning algorithms for prognostics of complex safety-critical systems. In the proposed framework, we use physics-based performance models to infer unobservable model parameters related to a system’s components health by solving…
-
Artikel Jurnal
Multi-Disease Prediction Based on Deep Learning: A Survey
…of the integration of AI and healthcare. Among them, the hot deep learning field has shown greater potential in applications such as disease prediction and drug response prediction. From the initial logistic regression model to the machine learning model, and then to the deep learning model today…
-
Artikel Jurnal Teks lengkap
A comprehensive evaluation of ensemble learning for stock-market prediction
Abstract Stock-market prediction using machine-learning technique aims at developing effective and efficient models that can provide a better and higher rate of prediction accuracy. Numerous ensemble regressors and classifiers have been applied in stock market predictions, using different…
-
Artikel Jurnal Teks lengkap
Unsupervised Learning Methods for Molecular Simulation Data
. We divide our discussion into self-contained sections, each discussing a specific method. In each section, we briefly touch upon the mathematical and algorithmic foundations of the method, highlight its strengths and limitations, and describe the specific ways in which it has been used-or can be…
-
Artikel Jurnal Teks lengkap
Deep learning approaches to biomedical image segmentation
The review covers automatic segmentation of images by means of deep learning approaches in the area of medical imaging. Current developments in machine learning, particularly related to deep learning, are proving instrumental in identification, and quantification of patterns in the medical images…
-
Artikel Jurnal
Learning skillful medium-range global weather forecasting
…data to improve the underlying model. Here, we introduce GraphCast, a machine learning-based method trained directly from reanalysis data. It predicts hundreds of weather variables for the next 10 days at 0.25° resolution globally in under 1 minute. GraphCast significantly outperforms the most…
-
Artikel Jurnal Teks lengkap
Deep learning in optical metrology: a review
…testing, experimental mechanics, and biomedicine. In recent years, deep learning, a subfield of machine learning, is emerging as a powerful tool to address problems by learning from data, largely driven by the availability of massive datasets, enhanced computational power, fast data storage, and…
Menampilkan maksimal 50 halaman. Persempit pencarian dengan filter untuk hasil yang lebih spesifik.