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Semi-automatic recognition of rock mass discontinuity based on 3D point clouds
Information on rock mass discontinuities is crucial for rock mass stability analysis. Due to the low efficiency, incompleteness, and potential risk...
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Semi-automatic scan-to-BIM procedure applied to architectural ornaments of Nossa Senhora do Rosário Church, Aracati-CE
Heritage constructions in general presents a complex geometry and shapes. The work of generating an accurate digital model of a historical building...
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The Role of Semi-Automatic Classification Techniques for Map** Landscape Components. The Case Study of Tratturo Magno in Molise Region
The aim of the research is to test different map** techniques that use semi-automatic recognition methods of multispectral satellite imagery, to...
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Semi-automatic Vehicle Detection System for Road Traffic Management
Indian roads incorporate a combination of crossroads and intersections. The traffic situation in India is very complex due to the ever-increasing...
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Forensic Facial Recognition: Review and Challenges
Facial recognition is a biometric technique for person identification. Traditional identification techniques (manual and semi-automatic techniques)...
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An MRI image automatic diagnosis model for lumbar disc herniation using semi-supervised learning
Lumbar disc herniation is a common disease that causes low back pain. Due to the high cost of medical diagnosis, as well as a shortage and uneven...
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Named Entity Recognition Datasets: A Classification Framework
Named entity recognition as a fundamental task plays a crucial role in accomplishing some of the tasks and applications in natural language...
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Survey of Research on Application of Deep Learning in Modulation Recognition
Modulation recognition is an important research branch in the field of communication, which is widely used in civil and military fields. The classic...
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Intelligent recognition of English characters based on point cloud data model and artificial intelligence recognition
Currently, there are many character string segmentation algorithms, and these algorithms all have the common advantages of good versatility. However,...
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Automatic Speech Emotion Recognition: a Systematic Literature Review
Automatic Speech Emotion Recognition (ASER) has recently garnered attention across various fields including artificial intelligence, pattern...
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A survey of technologies for automatic Dysarthric speech recognition
Speakers with dysarthria often struggle to accurately pronounce words and effectively communicate with others. Automatic speech recognition (ASR) is...
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Robust Automatic Speech Recognition System for the Recognition of Continuous Kannada Speech Sentences in the Presence of Noise
Automatic Speech Recognition system is developed for recognizing the continuous and spontaneous Kannada speech sentences in clean and noisy...
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Generating Adversarial Patterns in Facial Recognition with Visual Camouflage
Deep neural networks, especially face recognition models, have been shown to be vulnerable to adversarial examples. However, existing attack methods...
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Survey on Arabic speech emotion recognition
Emotions represent a fundamental aspect when evaluating user satisfaction or collecting customer feedback in human interactions, as well as in the...
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Real-Time Automatic Continuous Speech Recognition System for Kannada Language/Dialects
In this work, we present recent advancements in our earlier automatic continuous Kannada speech recognition (ACKSR) system under real-time...
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Semi-automatic Knowledge Base Expansion for Question Answering
In this paper we present a hybrid semi-automatic methodology for the construction of a Lexical Knowledge Base. The purpose of the work is to face the...
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Mi-Go: tool which uses YouTube as data source for evaluating general-purpose speech recognition machine learning models
This article introduces Mi-Go, a tool aimed at evaluating the performance and adaptability of general-purpose speech recognition machine learning...
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Towards semi-supervised myoelectric finger motion recognition based on spatial motor units activation
It is vital to recognize the intention of finger motions for human-machine interaction (HMI). The latest research focuses on fine myoelectric control...
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Wav2vec-AD: Acoustic Unit Discovery Module-Integrated, Self-Supervised Contrastive Pre-training Approach for Speech Recognition
An effective speech recognition model necessitates an ample supply of labeled data for supervised training. However, this proposition poses a...
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A review on speech emotion recognition for late deafened educators in online education
In an online class, students respond to queries initiated by the educator through voice, video, or chat. The educator receives these responses but...
