AIMC Topic: Algorithms

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Bone shadow segmentation from ultrasound data for orthopedic surgery using GAN.

International journal of computer assisted radiology and surgery Jul 11, 2020
PURPOSE: Real-time, two (2D) and three-dimensional (3D) ultrasound (US) has been investigated as a potential alternative to fluoroscopy imaging in various surgical and non-surgical orthopedic procedures. However, low signal to noise ratio, imaging ar...
Orthopedics Bone and Bones Orthopedic Procedures Imaging, Three-Dimensional Image Processing, Computer-Assisted Fluoroscopy Bone Diseases Acoustics Artifacts Reproducibility of Results Diagnosis, Computer-Assisted Ultrasonography Algorithms Computer Simulation Humans Neural Networks, Computer
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Sign Language Recognition Using Wearable Electronics: Implementing k-Nearest Neighbors with Dynamic Time Warping and Convolutional Neural Network Algorithms.

Sensors (Basel, Switzerland) Jul 11, 2020
We propose a sign language recognition system based on wearable electronics and two different classification algorithms. The wearable electronics were made of a sensory glove and inertial measurement units to gather fingers, wrist, and arm/forearm mo...
Sign Language Male Middle Aged Wearable Electronic Devices Female Adult Humans Neural Networks, Computer Algorithms
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Intelligent animal detection system using sparse multi discriminative-neural network (SMD-NN) to mitigate animal-vehicle collision.

Environmental science and pollution research international Jul 10, 2020
Animal-Vehicle Collision (AVC) is a predominant problem in both urban and rural roads and highways. Detecting animals on the road is challenging due to factors like the fast movement of both animals and vehicles, highly cluttered environmental settin...
Data Collection Movement Neural Networks, Computer Algorithms
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k-hop graph neural networks.

Neural networks : the official journal of the International Neural Network Society Jul 10, 2020
Graph neural networks (GNNs) have emerged recently as a powerful architecture for learning node and graph representations. Standard GNNs have the same expressive power as the Weisfeiler-Lehman test of graph isomorphism in terms of distinguishing non-...
Neural Networks, Computer Algorithms
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Fixed-time synchronization of stochastic memristor-based neural networks with adaptive control.

Neural networks : the official journal of the International Neural Network Society Jul 10, 2020
In this study, we consider the fixed-time synchronization problem for stochastic memristor-based neural networks (MNNs) via two different controllers. First, a new stochastic differential equation is established using differential inclusions and set-...
Time Factors Neural Networks, Computer Probability Algorithms Stochastic Processes Feedback
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MonkeyKing: Adaptive Parameter Tuning on Big Data Platforms with Deep Reinforcement Learning.

Big data Jul 10, 2020
Choosing the right parameter configurations for recurring jobs running on big data analytics platforms is difficult because there can be hundreds of possible parameter configurations to pick from. Even the selection of parameter configurations is bas...
Neural Networks, Computer Software Data Collection Algorithms Deep Learning Big Data
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Diagnosing Parkinson Disease Through Facial Expression Recognition: Video Analysis.

Journal of medical Internet research Jul 10, 2020
BACKGROUND: The number of patients with neurological diseases is currently increasing annually, which presents tremendous challenges for both patients and doctors. With the advent of advanced information technology, digital medical care is gradually ...
Male Humans Middle Aged Artificial Intelligence Facial Expression Parkinson Disease Machine Learning Facial Recognition Algorithms Videotape Recording Female
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Evaluation of Vertical Ground Reaction Forces Pattern Visualization in Neurodegenerative Diseases Identification Using Deep Learning and Recurrence Plot Image Feature Extraction.

Sensors (Basel, Switzerland) Jul 10, 2020
To diagnose neurodegenerative diseases (NDDs), physicians have been clinically evaluating symptoms. However, these symptoms are not very dependable-particularly in the early stages of the diseases. This study has therefore proposed a novel classifica...
Humans Neural Networks, Computer Algorithms Female Aged Neurodegenerative Diseases Gait Gait Analysis Huntington Disease Deep Learning Parkinson Disease Amyotrophic Lateral Sclerosis Male Middle Aged
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Integration of an interpretable machine learning algorithm to identify early life risk factors of childhood obesity among preterm infants: a prospective birth cohort.

BMC medicine Jul 10, 2020
BACKGROUND: The early life risk factors of childhood obesity among preterm infants are unclear and little is known about the influence of the feeding practices. We aimed to identify early life risk factors for childhood overweight/obesity among prete...
Risk Factors Male Infant Female Infant, Newborn Child Pediatric Obesity Infant, Premature China Cohort Studies Humans Child, Preschool Machine Learning Algorithms Prospective Studies
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A secured cryptographic system based on DNA and a hybrid key generation approach.

Bio Systems Jul 9, 2020
Cryptography is a method for preventing illegitimate access to information and data. In this paper, a bio-inspired cryptographic DNA system has been proposed. The proposed method consists of three phases: encryption, key generation and decryption. Th...
Neural Networks, Computer Algorithms Computer Security Computer Simulation DNA
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