AIMC Topic: Neural Networks, Computer

Clear Filters Showing 13741 to 13750 of 31376 articles

Clinical evaluation of a deep learning model for segmentation of target volumes in breast cancer radiotherapy.

Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology
PURPOSE/OBJECTIVE(S): Precise segmentation of clinical target volumes (CTV) in breast cancer is indispensable for state-of-the art radiotherapy. Despite international guidelines, significant intra- and interobserver variability exists, negatively imp...

Assessment for Different Neural Networks with FeatureSelection in Classification Issue.

Sensors (Basel, Switzerland)
In general, the investigation of NN (neural network) computing systems requires the management of a significant number of simultaneous distinct algorithms, such as parallel computing, fault tolerance, classification, and data optimization. Supervised...

FDNet: Knowledge and Data Fusion-Driven Deep Neural Network for Coal Burst Prediction.

Sensors (Basel, Switzerland)
Coal burst prediction is an important research hotspot in coal mine production safety. This paper presents FDNet, which is a knowledge and data fusion-driven deep neural network for coal burst prediction. The main idea of FDNet is to extract explicit...

Development of a Soft Sensor for Flow Estimation in Water Supply Systems Using Artificial Neural Networks.

Sensors (Basel, Switzerland)
A water supply system is considered an essential service to the population as it is about providing an essential good for life. This system typically consists of several sensors, transducers, pumps, etc., and some of these elements have high costs an...

Aircraft Image Recognition Network Based on Hybrid Attention Mechanism.

Computational intelligence and neuroscience
With the deepening of deep learning research, progress has been made in artificial intelligence. In the process of aircraft classification, the precision rate of aircraft picture recognition based on traditional methods is low due to various types of...

Design of Sports Event Evaluation and Classification Method Based on Deep Neural Network.

Computational intelligence and neuroscience
Large-scale sports events with high-level competition as the main content will have a great impact on the host city whether from the economic level or from the social level. With the improvement of human civilization, people realize that the holding ...

Attention2majority: Weak multiple instance learning for regenerative kidney grading on whole slide images.

Medical image analysis
Deep learning consistently demonstrates high performance in classifying and segmenting medical images like CT, PET, and MRI. However, compared to these kinds of images, whole slide images (WSIs) of stained tissue sections are huge and thus much less ...

On delay optimal control problems with a combination of conformable and Caputo-Fabrizio fractional derivatives via a fractional power series neural network.

Network (Bristol, England)
This paper presents a class of linear and nonlinear delay optimal control problems with mixed control-state constraints using a conformable fractional derivative. We modify the conformable fractional derivative using a novel translation from Caputo-F...

TSRNet: Diagnosis of COVID-19 based on self-supervised learning and hybrid ensemble model.

Computers in biology and medicine
BACKGROUND: As of Feb 27, 2022, coronavirus (COVID-19) has caused 434,888,591 infections and 5,958,849 deaths worldwide, dealing a severe blow to the economies and cultures of most countries around the world. As the virus has mutated, its infectious ...

Deep Learning Approach to UAV Detection and Classification by Using Compressively Sensed RF Signal.

Sensors (Basel, Switzerland)
Recently, the frequent occurrence of the misuse and intrusion of UAVs has made it a research challenge to identify and detect them effectively, and relatively high bandwidth and pressure on data transmission and real-time processing exist when sampli...