AIMC Topic: Neural Networks, Computer

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IBA-U-Net: Attentive BConvLSTM U-Net with Redesigned Inception for medical image segmentation.

Computers in biology and medicine
Accurate segmentation of medical images plays an essential role in their analysis and has a wide range of research and application values in fields of practice such as medical research, disease diagnosis, disease analysis, and auxiliary surgery. In r...

Application of Deep Learning Networks to Segmentation of Surface of Railway Tracks.

Sensors (Basel, Switzerland)
The article presents a vision system for detecting elements of railway track. Four types of fasteners, wooden and concrete sleepers, rails, and turnouts can be recognized by our system. In addition, it is possible to determine the degree of sleeper b...

HyAdamC: A New Adam-Based Hybrid Optimization Algorithm for Convolution Neural Networks.

Sensors (Basel, Switzerland)
As the performance of devices that conduct large-scale computations has been rapidly improved, various deep learning models have been successfully utilized in various applications. Particularly, convolution neural networks (CNN) have shown remarkable...

Classification of Cattle Behaviours Using Neck-Mounted Accelerometer-Equipped Collars and Convolutional Neural Networks.

Sensors (Basel, Switzerland)
Monitoring cattle behaviour is core to the early detection of health and welfare issues and to optimise the fertility of large herds. Accelerometer-based sensor systems that provide activity profiles are now used extensively on commercial farms and h...

Comparison of different predicting models to assist the diagnosis of spinal lesions.

Informatics for health & social care
In neurosurgical or orthopedic clinics, the differential diagnosis of lower back pain is often time-consuming and costly. This is especially true when there are several candidate diagnoses with similar symptoms that might confuse clinic physicians. T...

Error Fusion of Hybrid Neural Networks for Mechanical Condition Dynamic Prediction.

Sensors (Basel, Switzerland)
It is important for equipment to operate safely and reliably so that the working state of mechanical parts pushes forward an immense influence. Therefore, in order to enhance the dependability and security of mechanical equipment, to accurately predi...

Exploring a Fuzzy Rule Inferred ConvLSTM for Discovering and Adjusting the Optimal Posture of Patients with a Smart Medical Bed.

International journal of environmental research and public health
Several countries nowadays are facing a tough social challenge caused by the aging population. This public health issue continues to impose strain on clinical healthcare, such as the need to prevent terminal patients' pressure ulcers. Provocative app...

Deep HDR Hallucination for Inverse Tone Mapping.

Sensors (Basel, Switzerland)
Inverse Tone Mapping (ITM) methods attempt to reconstruct High Dynamic Range (HDR) information from Low Dynamic Range (LDR) image content. The dynamic range of well-exposed areas must be expanded and any missing information due to over/under-exposure...

Aircraft Fuselage Corrosion Detection Using Artificial Intelligence.

Sensors (Basel, Switzerland)
Corrosion identification and repair is a vital task in aircraft maintenance to ensure continued structural integrity. Regarding fuselage lap joints, typically, visual inspections are followed by non-destructive methodologies, which are time-consuming...

Medical recommender systems based on continuous-valued logic and multi-criteria decision operators, using interpretable neural networks.

BMC medical informatics and decision making
BACKGROUND: Out of the pressure of Digital Transformation, the major industrial domains are using advanced and efficient digital technologies to implement processes that are applied on a daily basis. Unfortunately, this still does not happen in the s...