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检索条件"任意字段=6th International Conference on Soft Computing and Signal Processing, ICSCSP 2023"

共 112 条记录，以下是1-10 订阅

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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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5th international conference on soft computing and signal processing, icscsp 2022

5th International Conference on Soft Computing and Signal Pr...

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5th international conference on soft computing and signal processing, icscsp 2022

ISBN: (纸本)9789811986680

the proceedings contain 60 papers. the special focus in this conference is on soft computing and signal processing. the topics include: A Hybrid Approach on Lexical Indian Sign Language Recognition;defining the Convergence of Artificial Intelligence and Cyber Security with a Case Study of Email Spam Detection;determining the Attribute Priority Among the Maintenance and Support Phases in software Development Phases Using Intuitionistic Fuzzy Analytical Hierarchy Process;Impact of COVID-19 on Energy Generation in India;decentralized Payment Architecture for E-Commerce and Utility Transactions with Government Verified Identities;a Machine Learning-Based Approach for Enhancing Student Learning Experiences;book Genre Classification System Using Machine Learning Approach: A Survey;a New Method for Imbalanced Data Reduction Using Data Based Under Sampling;Resource-Based Prediction in Cloud computing Using LSTM with Autoencoders;Arduino UNO-Based COVID Smart Parking System;low-Cost Smart Plant Irrigation Control System Using Temperature and Distance Sensors;a Novel Approach to Universal Egg Incubator Using Proteus Design Tool and Application of IoT;dynamic Resource Allocation Framework in Cloud computing;Region-Wise COVID-19 Vaccination Distribution Modelling in Tamil Nadu Using Machine Learning;detection of Phishing Websites Using Machine Learning;detection of Phishing Website Using Intelligent Machine Learning Classifiers;computational Learning Model for Prediction of Parkinson’s Disease Using Machine Learning;eliminating Environmental Context for Fall Detection Based on Movement Traces;performance Analysis of Regression Models in Stock Price Prediction;review on the Image Encryption with Hyper-Chaotic Systems;Object Detection Using Mask R-CNN on a Custom Dataset of Tumbling Satellite;decentralized Blockchain-Based Infrastructure for Numerous IoT Setup;Sentiment Analysis Toward COVID-19 Vaccination Based on Twitter Posts.

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Convolutional Neural Network and Recursive Feature Elimination Based Model for the Diagnosis of Mild Cognitive Impairments 1

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

作者： Bhasin, Harsh Mehrotra, Abheer Ohri, Ansh Department of Computer Science and Engineering Center for Health Innovations Manav Rachna International Institute of Research and Studies and Computer Science Engineering MRIIRS Aravali Hills Sector 43 Haryana Faridabad India Manav Rachna University Aravali Hills Sector 43 Haryana Faridabad India

ISBN: (数字)9789819984510

ISBN: (纸本)9789819984503

Aging leads to reduced cognitive abilities. A person heading toward dementia will also show such signs but with more severity. this stage is referred to as Mild Cognitive Impairment. It has been observed that nearly one-fifth of the people suffering from MCI convert to dementia. the patients suffering from MCI who convert to dementia are called MCI-Converts and those who do not convert are called MCI Non-converts. this work proposes a model that extracts gray matter from the s-MRI brain volume and explores the applicability of combination of Convolutional Neural Network and Recursive Feature Elimination in the diagnosis of MCI. Features of the data obtained using the carefully crafted CNN followed by the selection of the appropriate features using Recursive Feature Elimination are then used to accomplish the task. Empirical analysis has been done to select the parameters of the CNN. the results are better than the state of the art and pave way for the exploitation of the Deep Learning models to classify the Converts and the Non-converts. © the Author(s), under exclusive license to Springer Nature Singapore Pte Ltd. 2024.

关键词： Magnetic resonance imaging

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Smart Factory Design Based on CoDeSys 6

Smart Factory Design Based on CoDeSys

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6th international conference on Information Communication and signal processing, ICICSP 2023

作者： Fu, Yuanshuang Gui, Wenna Song, Hao School of Electrical and Control Engineering North China University of Technology Beijing China

ISBN: (纸本)9798350339994

CoDeSys is a soft PLC to provide programming and development environment for automation control software platform, this paper uses the software features of CoDeSys to design a complete filling wisdom production line and simulation. the design of the production line is divided into five parts: warehouse unit, filling unit, capping unit, inspection unit and conveyor unit, several units together to complete the filling of bottled liquids, high efficiency and high quality to complete the production, to achieve automated production. Finally, this paper applies the simulation of the production line to the filling of medical iodine, and the soft PLC technology based on CoDeSys shows great advantages and potentials in improving the automation control of production. © 2023 IEEE.

关键词： CoDeSys filling production line soft PLC technology

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A Novel Transformed Nested Array with Enhanced DOFs Based on Sum-Difference Coarray 6

A Novel Transformed Nested Array with Enhanced DOFs Based on...

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6th IEEE international conference on Electronic Information and Communication Technology, ICEICT 2023

作者： Xin, Wei Li, Yingsong Harbin Engineering University China Anhui University Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education China

ISBN: (纸本)9798350399059

Sum-difference driven coarray (SDCA) was paid great attention in array-signal-processing (ASP). By considering SDCA, the degrees of freedom (DOFs) for sparse arrays can be further improved. Here, a new transformed nested-array (TNA) is constructed, which reduces the element redundancy via rearranging the density of sub-arrays of the constructed new TNA. Compared to former TNAs, the constructed TNA gets higher DOFs and maximization signals, numerical simulation are given for getting its superior behaviors. © 2023 IEEE.

关键词： Degrees of freedom (mechanics)

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Efficient DOA Estimation Based on Cauchy Loss Variable Step Size Algorithm 6

Efficient DOA Estimation Based on Cauchy Loss Variable Step ...

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6th IEEE international conference on Electronic Information and Communication Technology, ICEICT 2023

作者： Xu, Xingchao Li, Yingsong College of Information and Communications Engineering Harbin Engineering University Harbin150001 China Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education Anhui University Hefei China

ISBN: (纸本)9798350399059

the Cauchy loss function is robust to large outliers and has successful applications in signal processing. In this paper, a DOA estimation algorithm based on adaptive zero technology is proposed, which updates the weight of the filter by applying the Cauchy loss function, and further improves the algorithm performance by using the variable step size method. the algorithm step size is adjusted by accumulating errors and establishing a nonlinear function with instantaneous errors. the DOA estimation ability, estimation error and accuracy of the improved Cauchy algorithm in the impulse noise environment are analyzed. the algorithm is verified by simulation experiments. © 2023 IEEE.

关键词： Impulse noise

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Implementation and Optimization of a Data-Driven soft Sensor in a Welding Process 6

Implementation and Optimization of a Data-Driven Soft Sensor...

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6th international conference on software Engineering and Computer Science, CSECS 2023

作者： Hensler, Fabian Jesser, Alexander Strebe, Nico Group Manufacturing Support Würth Elektronik eiSos Waldenburg Germany Institute ICPS Hochschule Heilbronn Künzelsau Germany

ISBN: (纸本)9798350306378

soft sensors have been a popular tool for years when it comes to recording certain parameters that are difficult to access. therefore, in this paper, a basic data-driven soft sensor is implemented in a welding process in order to be able to replace chosen hardware sensors in the future. the focus of this work, however, is on the data pre-processing, which offers numerous opportunities to improve the performance of the soft sensor itself. In the case of process data, as in the example of the welding machine, the clustering of data plays a particularly important role. During this investigation, it was possible to achieve significant improvements in terms of accuracy with an algorithm for clustering the data that was rewritten from scratch. Consequently, the data prepared by PCA is processed with this cluster algorithm and then used for a linear regression model. Furthermore, after the clustering algorithm has been developed and tested in Octave it gets rewritten in Python which is more application-oriented. the calculation time as well as the accuracy of the result are altogether superior compared to alternative approaches. © 2023 IEEE.

关键词： Principal component analysis

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An Improved Rife Algorithm for Frequency Estimation of Sinusoidal signal Under Low SNR Conditions 6

An Improved Rife Algorithm for Frequency Estimation of Sinus...

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6th international conference on Information Communication and signal processing, ICICSP 2023

作者： Wang, Jianglian Ma, Yan School of Marine Science and Technology Northwestern Polytechnical University Xi'an China

ISBN: (纸本)9798350339994

An improved Rife (M-A-Rife) algorithm is proposed for the case that the Rife algorithm makes large frequency estimation errors when the signal frequency is near the frequency samples. It is indicated that the estimation accuracy of the M-Rife algorithm decreases at some frequency points under low SNR conditions by analyzing the frequency estimation performance. therefore, in the improved algorithm, the signal frequency throughout the whole frequency range can always be moved to the midpoint area of frequency bins by increasing once spectrum shift based on the M-Rife algorithm. the precision and stability of frequency estimation throughout the whole frequency range is guaranteed especially on the condition that the SNR is low. the improved algorithm reduces the amount of computing by simplifying the N-point FFT in the Rife algorithm after spectrum shifts to a 3-point FFT operation. the estimation precision under low SNR conditions and the feasibility of the improved algorithm are verified by the computational complexity analysis and MATLAB simulation. © 2023 IEEE.

关键词： computational complexity frequency estimation m-rife algorithm spectrum shift

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A Band-pass FSS with Wide Angular Stability and High Polarization Stability 6

A Band-pass FSS with Wide Angular Stability and High Polariz...

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6th IEEE international conference on Electronic Information and Communication Technology, ICEICT 2023

作者： Gao, Yunshuai Ding, Shuying Huang, Zhixiang Li, Yingsong Anhui University Key Laboratory of Intelligent Computing and Signal Processing Ministry of Education China

ISBN: (纸本)9798350399059

A mimic multi-layer polarization-independent FSS with accessible angular-stability is reported using a three-layer structure, where the top layer and the bottom layer are realized based the metal rings that are same, and the middle is constructed by a slotted metal structure. the mentioned three layers are aimed to separate the used two dielectric substrates. For a well illustration, the constructed dimensions of the installed FSS are 5× 5 mm2. As a case of the FSS cell design, here the dimension is limited as 0.15λ× 0.15λ. Since two different structure is used, the FSS has double resonace, making a wide operation. From the numerical evaluations, the FSS can reject the signal from C-and X-band. © 2023 IEEE.

关键词： Polarization

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