AIMC Topic: Handwriting

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Restoring and attributing ancient texts using deep neural networks.

Nature Mar 9, 2022
Ancient history relies on disciplines such as epigraphy-the study of inscribed texts known as inscriptions-for evidence of the thought, language, society and history of past civilizations. However, over the centuries, many inscriptions have been dama...
Humans Software History, Ancient Archaeology Greece, Ancient Writing Deep Learning Handwriting
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Top interpretable neural network for handwriting identification.

Journal of forensic sciences Jan 10, 2022
Machine learning (ML) has become one of the most promising tools in forensics, despite its dominant method of artificial neural networks (ANNs) suffering from the black-box problem. While forensic methodology demands explainability and evaluativity, ...
Handwriting Neural Networks, Computer Machine Learning
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A Sequential Handwriting Recognition Model Based on a Dynamically Configurable CRNN.

Sensors (Basel, Switzerland) Nov 2, 2021
Handwriting recognition refers to recognizing a handwritten input that includes character(s) or digit(s) based on an image. Because most applications of handwriting recognition in real life contain sequential text in various languages, there is a nee...
Handwriting Neural Networks, Computer Algorithms
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Development of the Ultralight Hybrid Pneumatic Artificial Muscle: Modelling and optimization.

PloS one Apr 22, 2021
Pneumatic artificial muscles (PAMs) are one of the key technologies in soft robotics, and they enable actuation in mobile robots, in wearable devices and exoskeletons for assistive and rehabilitative purposes. While they recently showed relevant impr...
Muscle Contraction Movement Handwriting Biomimetics Rehabilitation Wearable Electronic Devices Plastics Humans Muscle, Skeletal Equipment Design Algorithms Robotics Skin Inventions Vacuum
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Artificial intelligence based writer identification generates new evidence for the unknown scribes of the Dead Sea Scrolls exemplified by the Great Isaiah Scroll (1QIsaa).

PloS one Apr 21, 2021
The Dead Sea Scrolls are tangible evidence of the Bible's ancient scribal culture. This study takes an innovative approach to palaeography-the study of ancient handwriting-as a new entry point to access this scribal culture. One of the problems of pa...
Israel Image Interpretation, Computer-Assisted Pattern Recognition, Automated Humans Artificial Intelligence Judaism Handwriting History, Ancient Christianity
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A Novel Learning Algorithm to Optimize Deep Neural Networks: Evolved Gradient Direction Optimizer (EVGO).

IEEE transactions on neural networks and learning systems Feb 4, 2021
Gradient-based algorithms have been widely used in optimizing parameters of deep neural networks' (DNNs) architectures. However, the vanishing gradient remains as one of the common issues in the parameter optimization of such networks. To cope with t...
Algorithms Deep Learning Pattern Recognition, Automated Handwriting Humans Neural Networks, Computer
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Novel deep neural network based pattern field classification architectures.

Neural networks : the official journal of the International Neural Network Society Mar 14, 2020
Field classification is a new extension of traditional classification frameworks that attempts to utilize consistent information from a group of samples (termed fields). By forgoing the independent identically distributed (i.i.d.) assumption, field c...
Handwriting Bayes Theorem Humans Pattern Recognition, Automated Neural Networks, Computer Biometric Identification Machine Learning Algorithms Deep Learning
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Deep supervised learning with mixture of neural networks.

Artificial intelligence in medicine Nov 18, 2019
Deep Neural Network (DNN), as a deep architectures, has shown excellent performance in classification tasks. However, when the data has different distributions or contains some latent non-observed factors, it is difficult for DNN to train a single mo...
Humans Neural Networks, Computer Algorithms Databases, Factual Computer Simulation Handwriting Supervised Machine Learning Pattern Recognition, Automated Classification Female Breast Neoplasms Diabetes Mellitus
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Bag of Samplings for computer-assisted Parkinson's disease diagnosis based on Recurrent Neural Networks.

Computers in biology and medicine Oct 4, 2019
Parkinson's Disease (PD) is a clinical syndrome that affects millions of people worldwide. Although considered as a non-lethal disease, PD shortens the life expectancy of the patients. Many studies have been dedicated to evaluating methods for early-...
Handwriting Diagnosis, Computer-Assisted Adolescent Parkinson Disease Adult Male Middle Aged Machine Learning Female Aged Humans Neural Networks, Computer
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Analysis and evaluation of handwriting in patients with Parkinson's disease using kinematic, geometrical, and non-linear features.

Computer methods and programs in biomedicine Mar 13, 2019
BACKGROUND AND OBJECTIVES: Parkinson's disease is a neurological disorder that affects the motor system producing lack of coordination, resting tremor, and rigidity. Impairments in handwriting are among the main symptoms of the disease. Handwriting a...
Nonlinear Dynamics Aged, 80 and over Tremor Models, Theoretical Pattern Recognition, Automated Female Support Vector Machine Adult Humans Handwriting Reproducibility of Results Male Parkinson Disease Biomechanical Phenomena Algorithms Aged Middle Aged Deep Learning
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