AIMC Topic: Neural Networks, Computer

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Automating Periodontal bone loss measurement via dental landmark localisation.

International journal of computer assisted radiology and surgery
PURPOSE: Periodontitis is the sixth most prevalent disease worldwide and periodontal bone loss (PBL) detection is crucial for its early recognition and establishment of the correct diagnosis and prognosis. Current radiographic assessment by clinician...

Dual Memory LSTM with Dual Attention Neural Network for Spatiotemporal Prediction.

Sensors (Basel, Switzerland)
Spatiotemporal prediction is challenging due to extracting representations being inefficient and the lack of rich contextual dependences. A novel approach is proposed for spatiotemporal prediction using a dual memory LSTM with dual attention neural n...

A System Using Artificial Intelligence to Detect and Scare Bird Flocks in the Protection of Ripening Fruit.

Sensors (Basel, Switzerland)
Flocks of birds may cause major damage to fruit crops in the ripening phase. This problem is addressed by various methods for bird scaring; in many cases, however, the birds become accustomed to the distraction, and the applied scaring procedure lose...

A Simple Neural Network for Collision Detection of Collaborative Robots.

Sensors (Basel, Switzerland)
Due to the epidemic threat, more and more companies decide to automate their production lines. Given the lack of adequate security or space, in most cases, such companies cannot use classic production robots. The solution to this problem is the use o...

A Real-Time Clinical Decision Support System, for Mild Cognitive Impairment Detection, Based on a Hybrid Neural Architecture.

Computational and mathematical methods in medicine
Clinical procedure for mild cognitive impairment (MCI) is mainly based on clinical records and short cognitive tests. However, low suspicion and difficulties in understanding test cut-offs make diagnostic accuracy being low, particularly in primary c...

Analysis of Enterprise Human Resources Demand Forecast Model Based on SOM Neural Network.

Computational intelligence and neuroscience
Human resource planning is the prerequisite of human resource management, and the basic work of human resource planning is to predict human resource demand. Scientific and reasonable human resource demand forecasting results can provide important dat...

Eigenvalue-based entropy in directed complex networks.

PloS one
Entropy is an important index for describing the structure, function, and evolution of network. The existing research on entropy is primarily applied to undirected networks. Compared with an undirected network, a directed network involves a special a...

Active Subdivision Surfaces for the Semiautomatic Segmentation of Biomedical Volumes.

IEEE transactions on image processing : a publication of the IEEE Signal Processing Society
We present a new family of active surfaces for the semiautomatic segmentation of volumetric objects in 3D biomedical images. We represent our deformable model by a subdivision surface encoded by a small set of control points and generated through a g...

A classification approach to estimating human circadian phase under circadian alignment from actigraphy and photometry data.

Journal of pineal research
The time of dim light melatonin onset (DLMO) is the gold standard for circadian phase assessment in humans, but collection of samples for DLMO is time and resource-intensive. Numerous studies have attempted to estimate circadian phase from actigraphy...

Utterance Level Feature Aggregation with Deep Metric Learning for Speech Emotion Recognition.

Sensors (Basel, Switzerland)
Emotion is a form of high-level paralinguistic information that is intrinsically conveyed by human speech. Automatic speech emotion recognition is an essential challenge for various applications; including mental disease diagnosis; audio surveillance...