Intraspecific molecular variation among Androctonus crassicauda (Olivier, 1807) populations collected from different regions in saudi arabia

Alqahtani, Abdulaziz R.; Badry, Ahmed; Amer, Sawsan M.; Galil, Fahd Mohammed Abd Al; Ahmed, Mohamed M.; Amr, Zuhair S.

doi:10.1016/j.jksus.2022.101998

Cited by 52 publications

(45 citation statements)

References 31 publications

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“…From Table 2, it can be seen that recall and precision rates decrease gradually with an increase of number of notes, The results were proposed in [13], and comparison results are shown in Figure 18. Considering the large WAV, I extracted about 30 seconds of music clips from the synthetic WAV, compressed them into MP3 format, and then uploaded them to the ECS.…”

Section: Resultsmentioning

confidence: 97%

“…Schönberger [11] records a moment of note onset based on the result of phase difference, while Blaszke and Kostek [12] first preprocess music signal in full phase and then detect note onset using a feature of phase difference mutation, and experimental results show that this type of method is more suitable for note detection of a slow rhythm music. Alqahtani et al [13] combined wavelet domain and time domain features for note slicing and achieved 96% accuracy for detecting the starting point of piano music, but the number of missed notes was high, resulting in a low recall rate [14]. Firstly, a constant Q-transform was applied to music signal, then energy value of high frequency weighting was calculated, and finally, the energy value was differenced and peak value was detected to get a detection result, and detection accuracy of this method reached 85%.…”

Section: Related Workmentioning

confidence: 99%

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Automatic Piano Harmony Arrangement System Based on Deep Learning

2022

Journal of Sensors

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Harmony, which plays an important role in enriching melody expression, is a combination of multiple notes. Melody coordination involves adding harmony effect to a single note of melody, which involves professional knowledge of basic music theory and harmony rules, and requires a high technical threshold. Under the macro background of deep learning and neural network technology, artificial intelligence is widely used in music retrieval, music creation, and music teaching. In this article, we provide a powerful tool for piano music creation by manually arranging melody and harmony instead of using deep learning. In this paper, harmonic elimination is divided into three subtasks: note detection, measurement, and multifundamental frequency estimation and model training. The music signal is divided into several segments by note detection, and the main notes and harmonic components of each segment are extracted by multifundamental frequency estimation, which are used as the features and labels of the neural network, so as to give a model with the ability of arrangement and harmony.

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Section: Resultsmentioning

confidence: 97%

Section: Related Workmentioning

confidence: 99%

Automatic Piano Harmony Arrangement System Based on Deep Learning

2022

Journal of Sensors

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“…The model is based on an extended causal convolutional neural network (DC-CNN), and the reduction features are introduced by controlling the gate activation unit of each neuron in the neural network to achieve the reduction of electronic artifacts. The DC-CNN adopted in the model exists in causal convolution and expanded convolution, and the DC-CNN has achieved good results in the speech synthesis model WaveNet [ 25 , 26 ].…”

Section: Dc-cnn-based Music Notation Recognition Modelmentioning

confidence: 99%

A Deep Learning-Based Piano Music Notation Recognition Method

2022

Computational Intelligence and Neuroscience

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In the era of rapid development of computer technology, piano music notation and electronic synthesis system can be established using computer technology, and the basic laws of music score can be analyzed from the perspective of image processing, which is of a great significance in promoting piano improvement and research and development, etc. In this paper, the Beaulieu analysis method is used to analyze the piano music notation and electronic synthesis system module. For piano sheet music, sheet music recognition is the main problem in the whole system. Through the digital recognition method, the piano sheet music feature matrix is extracted to get the piano sheet music multiplication frequency points and the envelope function needs to be extracted for better electronic synthesis of piano sheet music. The envelope function can represent the relationship between piano sound intensity and time change and finally achieve the recognition of the piano score. We extract the music information from the digital score, thus converting the music information into MIDI files, reconstructing the score, and providing an audio carrier for the score transmission. The experimental results show that the system has a correct rate of 94.4% in extracting music information from piano scores, which can meet the needs of practical applications and provide a new way for music digital libraries, music education, and music theory analysis.

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“…Reference [ 11 ] proposed using Markov random field theory so that the segmented fundus features can be used for the identification of ophthalmic diseases. Reference [ 12 ] proposed detecting the thickness of retinal nerve fibers by using the optical coherence tomography (OCT) technique to diagnose and treat patients with early ophthalmic diseases. Reference [ 13 ] proposed the use of a stacked sparse encoder for fundus image identification of ophthalmic diseases.…”

Section: Related Workmentioning

confidence: 99%

Design of Intelligent Diagnosis and Treatment System for Ophthalmic Diseases Based on Deep Neural Network Model

Zhou

2022

Contrast Media & Molecular Imaging

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Artificial intelligence (AI) has developed rapidly in the field of ophthalmology. Fundus images have become a research hotspot because they are easy to obtain and rich in biological information. The application of fundus image analysis (AI) in background image analysis has been deepened and expanded. At present, a variety of AI studies have been carried out in the clinical screening, diagnosis, and prognosis of eye diseases, and the research results have been gradually applied to clinical practice. The application of AI in fundus image analysis will improve the situation of lack of medical resources and low diagnosis efficiency. In the future, the research of AI eye images should focus on the comprehensive intelligent diagnosis of various ophthalmic diseases and complex diseases. The focus is to integrate standardized and high-quality data resources, improve algorithm efficiency, and formulate corresponding clinical research plans.

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Intraspecific molecular variation among Androctonus crassicauda (Olivier, 1807) populations collected from different regions in saudi arabia

Cited by 52 publications

References 31 publications

Automatic Piano Harmony Arrangement System Based on Deep Learning

Automatic Piano Harmony Arrangement System Based on Deep Learning

A Deep Learning-Based Piano Music Notation Recognition Method

Design of Intelligent Diagnosis and Treatment System for Ophthalmic Diseases Based on Deep Neural Network Model

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