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7th international conference on soft computing and signal processing, icscsp 2024

7th International Conference on Soft Computing and Signal Pr...

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7th international conference on soft computing and signal processing, icscsp 2024

ISBN: (纸本)9789819609239

the proceedings contain 54 papers. the special focus in this conference is on soft computing and signal processing. the topics include: An Analysis on the Capacity of the Convolutional Neural Network and the Current Neural Network to Identify Vocal Problems;recent Advances in Diabetic Monitoring Devices: Present to Future Directions;navigating the Digital Realm: E-Visual Online Examination for the Visually Challenged;the Evaluation of Data Aggregation and Compression in WSN Routing Networks Using the Best Clustering Methods;Improved AODV Routing Protocol Development and Analysis for Enhanced Network Performance in MANETs Based on Machine Learning Model;comprehensive Analysis of Cognitive Radio Technologies and Its Applications;Classification of Brain Tumor from MRI Images Using Supervised Machine Learning;the Augmentation of Social Media and Its Notable Impact on Sentiment Research Review Systems for Public Movie theaters Using Deep Learning;whatsApp Chat Analysis and Spam Discovery Using Machine Learning Models;Prediction of Distinctive Human Behavioral Activity Using PIFP and Big Data Methods;a signals–Systems Perspective on Electronic Structure theory;Evaluation of Customized Pre-trained Models to Predict Percentage of Being COVID-19 Cases on Chest X-Ray and COVID Radiography Images;statistical Analysis of Success Rate of the Movie Based on a Combination of Actor, Director;machine Learning Methodologies in Social Platform: An Analytical Survey;AI-Driven Cattle Skin Disease Diagnosis: Enhancing Precision through Advanced Deep Learning and Interactive Chatbot Technologies;revolutionizing Autism Spectrum Prognostication via Ensemble Learning;rose Doctor: Identification of Fungal Diseases in Rose Plants Using Convolutional Neural Networks;recommending Emergency Medication Using Machine Learning Approaches.

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7th international conference on soft computing and signal processing, icscsp 2024

7th International Conference on Soft Computing and Signal Pr...

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7th international conference on soft computing and signal processing, icscsp 2024

ISBN: (纸本)9789819799251

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6th international conference on soft computing and signal processing, icscsp 2023

6th International Conference on Soft Computing and Signal Pr...

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6th international conference on soft computing and signal processing, icscsp 2023

ISBN: (纸本)9789819984503

the proceedings contain 54 papers. the special focus in this conference is on soft computing and signal processing. the topics include: Stock Price Prediction Using LSTM, CNN and ANN;IoT-Based Smart Wearable Devices Using Very Large Scale Integration (VLSI) Technology;plant Disease Detection and Classification Using Artificial Intelligence Approach;camera and Voice Control-Based Human–Computer Interaction Using Machine Learning;optimal Crop Recommendation by Soil Extraction and Classification Techniques Using Machine Learning;ioT-Based Smart Irrigation System in Aquaponics Using Ensemble Machine Learning;Performance Evaluation of MFSK Techniques Under Various Fading Environments in Wireless Communication;prediction of Breast Cancer Using Feature Extraction-Based Methods;review and Design of Integrated Dashboard Model for Performance Measurements;anomaly Detection in Classroom Using Convolutional Neural Networks;Efficient VLSI Architectures of Multimode 2D FIR Filter Bank using Distributed Arithmetic Methodology;implementation of an Efficient Image Inpainting Algorithm using Optimization Techniques;A Systematic Study and Detailed Performance Assessment of SDN Controllers Across a Wide Range of Network Architectures;Classification and Localization of Objects Using Faster RCNN;an Image processing Approach for Weed Detection Using Deep Convolutional Neural Network;detection of Leaf Black Sigatoka Disease in Enset Using Convolutional Neural Network;detecting Communities Using Network Embedding and Graph Clustering Approach;Deep Learning Approaches-Based Brain Tumor Detection Using MRI Images—A Comprehensive Review;Predicting Crop Yield with AI—A Comparative Study of DL and ML Approaches;An Empirical Analysis of Lung Cancer Detection and Classification Using CT Images;trust and Secured Routing in Mobile Ad Hoc Network Using Block Chain.

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6th international conference on soft computing and signal processing, icscsp 2023

6th International Conference on Soft Computing and Signal Pr...

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6th international conference on soft computing and signal processing, icscsp 2023

ISBN: (纸本)9789819986279

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7th IEEE international conference on Advanced Technologies, signal and Image processing, ATSIP 2024

7th IEEE International Conference on Advanced Technologies, ...

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7th IEEE international conference on Advanced Technologies, signal and Image processing, ATSIP 2024

ISBN: (纸本)9798350351484

the proceedings contain 118 papers. the topics discussed include: driver action recognition in low-light conditions: a multi-view fusion framework;fuzzy logic obstacle avoidance controller for a mobile robot using lidar;modeling continuous emotions in text data using IEMOCAP database;detection and classification of neurodegenerative diseases by automatic speech analysis;a comparative study of derivative-based and wavelet-based approaches for epilepsy EEG analysis;a novel nonlinear intelligent control approach for optimizing solar PV systems in medical applications under dynamic conditions;access control based on roles and groups: case study building a secure smart hospital using BPMS;credit card fraud detection using synthetic minority oversampling technique and deep learning technique;and in-memory computing architecture for efficient hardware security.

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Kernel Adaptive Filtering with Weibull M-transform Maximum Versoria Criterion 7

Kernel Adaptive Filtering with Weibull M-transform Maximum V...

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7th IEEE international conference on Electronic Information and Communication Technology, ICEICT 2024

作者： Bi, Chenchong Li, Yingsong Li, Liping Zlatanov, Nikola Anhui University Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education China Innopolis University Faculty of Computer and Engineering Sciences Innopolis Russia

ISBN: (纸本)9798350384437

A kernel Weibull M-transform maximum-versoria-criterion (KWMMVC) algorithm is constructed, which is to use for nonlinear system identification. the KWMMVC algorithm ingeniously integrates the Weibull M-transform scheme into the maximum-versoria-criterion to formulate a novel cost function. the ability of KWMMVC algorithm to identify nonlinear channels under various impulse noise environments is tested in the kernel adaptive filters, and the results proved its superior performance. © 2024 IEEE.

关键词： Adaptive filtering

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Dependable Pipeline Detection algorithms for GPRs in Obscuration Environments 7

Dependable Pipeline Detection algorithms for GPRs in Obscura...

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7th IEEE international conference on Electronic Information and Communication Technology, ICEICT 2024

作者： Zhou, Hongyu Xu, Guanghui Li, Yingsong Huang, ZhiXiang Anhui University Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education China

ISBN: (纸本)9798350384437

We propose a robust pipeline detection algorithm for obscuration environments, which includes two improvements: a pre-processing method called the Regional Adaptive thresh-olding Algorithm (RATA) and a novel clustering method based on trend analysis and symmetric matching called as Symmetry Matching Clustering Algorithm (SMCA). this approach is highly effective in extracting targets from low-intensity regions and has been validated through simulation experiments. the gotten results demonstrate significant enhancements in the accuracy and reliability of underground pipeline detection in obscuration environments. Comparative analysis shows that, in some aspects, the proposed method outperforms existing algorithms. © 2024 IEEE.

关键词： Image enhancement

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Elimination of Interference Analysis for RIS Element Demage 7

Elimination of Interference Analysis for RIS Element Demage

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7th IEEE international conference on Electronic Information and Communication Technology, ICEICT 2024

作者： Min, Sipei Yu, Canping Li, Liping Li, Yingsong Zlatanov, Nikola Anhui University Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education China Innopolis University Faculty of Computer and Engineering Sciences Russia

ISBN: (纸本)9798350384437

this paper aims to investigate the ability of reconfigurable intelligent surfaces (RIS) damaged in multi-user environments to eliminate interference. Our research found that even if the RIS is damaged, interference can still be eliminated in the absence of a direct path and when the number of RIS is sufficient. In order to solve interference cancellation, we adopted the alternating projection algorithm, which ensures local convergence and good convergence speed. © 2024 IEEE.

关键词： Interference suppression

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Research on signal Denoising Method Based on Symplectic Geometric Mode Decomposition and Savitzky-Golay Filtering 7

Research on Signal Denoising Method Based on Symplectic Geom...

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7th IEEE international conference on Electronic Information and Communication Technology, ICEICT 2024

作者： Xu, Xuelong Zhao, Jin Wu, Bo Wu, Xianliang Ni, Jincheng Wu, Ping Ministry of Education Anhui University Anhui University Key Lab of Intelligent Computing & Signal Processing Hefei China

ISBN: (纸本)9798350384437

the paper proposes a noise reduction algorithm based on symplectic Geometric Mode Decomposition (SGMD) and Savitzky-Golay (SG)filtering to address the issue of noise interference during signal transmission. Firstly, the noisy signal is decomposed using symplectic geometric mode decomposition to obtain several symplectic geometric components. the component with less noise is then selected and superimposed based on its energy entropy. Finally, the reconstructed signal undergoes denoising through SG filtering. the proposed method is applied to conduct comparison experiments on noise reduction for linear frequency modulation signals and multicomponent periodic signals. the results demonstrate a significant noise reduction effect of the proposed method, which holds great significance for signal analysis and research on noise reduction. © 2024 IEEE.

关键词： Noise abatement

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Near-field Source DOA Estimation Algorithm Based on De-impact Function under Impulse Noise 7

Near-field Source DOA Estimation Algorithm Based on De-impac...

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7th IEEE international conference on Electronic Information and Communication Technology, ICEICT 2024

作者： Xu, Xingchao Pang, Baohe Li, Yingsong Li, Liping Zou, Dingcheng Zlatanov, Nikola Harbin Engineering University College of Information and Communication Engineering Harbin150001 China Anhui University Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education China Innopolis University Faculty of Computer and Engineering Sciences Innopolis Russia

ISBN: (纸本)9798350384437

In addressing the issue of localizing near-field source signals in the presence of impulse noise, this manuscript introduces a novel de-impact function designed for preprocessing received signals to alleviate the interference caused by impulse noise. Simulation experiments verify the effectiveness of the proposed de-impact function in effectively suppressing impulse noise. Furthermore, to augment estimation precision, a novel algorithm for near-field source localization is proposed. Building upon the framework of correlation entropy theory, a new correntropy covariance matrix is formulated to replace the original signal covariance matrix for signal processing. through a succession of low-bias approximations between near-field and far-field scenarios, the algorithm converts the original 2-D search into 1-D operations. Additionally, the conventional spectral peak search is replaced by polynomial solving to further mitigate the computational complexity of the algorithm. © 2024 IEEE.

关键词： Impulse noise

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