Intra-pulse modulation recognition of radar signal based on random forest by Ge LIU, Guoyi ZHANG, Yan YU

“…To solve the existing problems of low recognition rate and noise problem in radar signal recognition,the fusion feature extraction method of time-frequency image and the random forest classifier is applied to the identification of radar signals.The radar signal time-frequency image was firstly extracted the shape features and texture features to anstitute fusion characteristics,into and then input fusioncharacteristics radom forest classifier recognition of the signal classification was realized.The results of simulation experiments for eight kinds of common radar signals to recognition show that recognition accuracy of the method proposed can be achieved more than 90% in SNR -2 dB,so it also verify the effectiveness of the method.…”
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Automated Plant Recognition System with Geographical Position Selection for Medicinal Plants by Biswaranjan Acharya, Ahona Ghosh, Sucheta Panda, Yu-Chen Hu

“…Image examination and order and pattern recognition are some issues that are effectively connected to the existing methods. …”
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Generative AI for Named Entity Recognition in Low-Resource Language Nepali by Sameer Neupane, Jeevan Chapagain, Nobal B. Niraula, Diwa Koirala

“… Generative Artificial Intelligence (GenAI), particularly Large Language Models (LLMs), has significantly advanced Natural Language Processing (NLP) tasks, such as Named Entity Recognition (NER), which involves identifying entities like person, location, and organization names in text. …”
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Influential nodes recognition of diverse complex network based on deep learning by MA Yulei, GUO Shasha

“…Validation experiments were carried on multiple complex network datasets, the results showed that the proposed method achieved a good recognition performance of influential nodes for the complex networks of different scales and different categories, effectively improving the accuracy and robustness of influential node recognition.…”
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Personalization in Mobile Activity Recognition System Using -Medoids Clustering Algorithm by Quang Viet Vo, Minh Thang Hoang, Deokjai Choi

“…Nowadays mobile activity recognition (AR) has been creating great potentials in many applications including mobile healthcare and context-aware systems. …”
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Research on language recognition algorithm based on improved CFCC feature extraction by Hua LONG, Zhangheng HUANG, Yubin SHAO, Qingzhi DU, Shumeng SU

“…Aiming at the problem of low language recognition rate under low signal-to-noise ratio, a language recognition method based on fractional wavelet transform was proposed.Firstly, the adaptive filtering algorithm was used to filter the noise of the noisy signal, so as to reduce the influence of noise on the feature extraction and improve the processing ability of the system for non-stationary signals.Secondly, the motion of the signal on the basilar membrane of the cochlea was simulated, and then the signal was compressed by a nonlinear power function.Finally, the improved CFCC were extracted by simulating the human hearing process.Experiments show that compared with the traditional CFCC, the language recognition rate is significantly improved, and the language recognition rate is increased by 11.1% on average under the 0 dB signal-to-noise ratio, which verifies the effectiveness and robustness of the proposed algorithm.…”
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Deep learning-based approach for gesture recognition with static hand representation by Nguyen Song Hung, Phan Duc Minh, Ngo Ha Quang Thinh

“…Our approach is experimented in two cases for validating the effectiveness and properness of the proposed method with varying light condition. …”
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Player Performance Analysis in Table Tennis Through Human Action Recognition by Kangnan Dong, Wei Qi Yan

“…This paper aims to enhance the effectiveness of table tennis coaching and player performance analysis through human action recognition by using deep learning. …”
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Modeling and Simulation of Athlete’s Error Motion Recognition Based on Computer Vision by Luo Dai

“…In this article, a multifeature fusion error action expression method based on silhouette and optical flow information is proposed to overcome the shortcomings in the effectiveness of a single error action expression method based on the fusion of features for human body error action recognition. …”
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Topic recognition and refined evolution path analysis of literature in the field of cybersecurity. by Yanfeng Zhu, Zheng Li, Tianyi Li, Lei Jiang

“…Furthermore, to comprehensively evaluate the effectiveness of the LDA model in topic evolution analysis, this paper introduces the Dynamic Topic Model (DTM) for comparative analysis. …”
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A Nonlinear Self-recognition Self-calibration Kalman Filtering Method by FU Huimin, YANG Haifeng, WEN Xinlei

“…According to the rank sampling and Sigma points sampling respectively, the rank sampling self-recognition self-calibration Kalman filter and the Sigma points sampling self-recognition self-calibration Kalman filter were discussed in detail. …”
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Intelligent routing for human activity recognition in wireless body area networks by Enas Selem Elmosallamy, Mohammed F. Soliman

“…Abstract Human activity recognition (HAR), driven by machine learning techniques, offer the detection of diverse activities such as walking, running, and more. …”
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Voter Authentication Using Enhanced ResNet50 for Facial Recognition by Aminou Halidou, Daniel Georges Olle Olle, Arnaud Nguembang Fadja, Daramy Vandi Von Kallon, Tchana Ngninkeu Gil Thibault

“…Extensive evaluations demonstrate the methodology’s effectiveness, achieving a facial recognition accuracy of 99.85%. …”
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Study on Fault Arc Recognition Based on Back-Propagation Neural Network by QIAO Weide

“…In view of the problems of low loop current and ineffective detection of traditional line protection equipment when series fault arc occurs, a fault arc recognition neural network model based on wavelet analysis and backpropagation(BP) neural network is established to identify the fault arc quickly and accurately. …”
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Comparison of subjective and objective speaker recognition under voice disguise conditions by Wojciech Majewski

“…For normal speech both methods exhibited a very good effectiveness of speaker recognition and the results for the subjective method were a bit lower (98.9% in comparison to 99.4% for the objective method). …”
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On Image Ｒecognition Using Bidirectional Feature Pyramid and Deep Neural Network by ZHAO Sheng, ZHAO Li

“…Object recognition is one of the fundamental tasks in the area of computer vision. …”
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Line spectrum target recognition algorithm based on time‐delay autoencoder by Donghao Ju, Cheng Chi, Yu Li, Haining Huang

“…Abstract Effective extraction of target features has always been a key issue in target recognition technology in the field of signal processing. …”
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Morpho-orthographic segmentation on visual word recognition in Brazilian Portuguese speakers by Humberto dos Reis Pereira, Francis Ricardo dos Reis Justi

“…Abstract Objective Studies have demonstrated a morphological decomposition process in the initial stages of visual word recognition based on orthographically defined morphemes and independent of semantic and lexical information. …”
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Improved contact predictions using the recognition of protein like contact patterns. by Marcin J Skwark, Daniele Raimondi, Mirco Michel, Arne Elofsson

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Physical Activity Recognition Utilizing the Built-In Kinematic Sensors of a Smartphone by Yi He, Ye Li

“…The results indicated that the accelerometer was significant to PA recognition, while gyroscope and orientation sensor were effective to recognize the change of body posture and detect falls, respectively. …”
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