The proceedings contain 48 papers. The special focus in this conference is on signal anddataprocessing. The topics include: Process Mining-Based Behavioral Modeling of Learners in Self-paced Learning Environment;blo...
ISBN:
(纸本)9789819914098
The proceedings contain 48 papers. The special focus in this conference is on signal anddataprocessing. The topics include: Process Mining-Based Behavioral Modeling of Learners in Self-paced Learning Environment;blockchain Scalability: Solutions, Challenges and Future Possibilities;Solution of Unit Commitment Problems in GAMS Computational Environment;taxonomy and Implications of Machine Learning for Internet of Things: Qualities, Uses and Algorithms;auto Organizer: A Machine Learning-Based Tool for Automatic Organization of Files;twitter Spam Detection Using Different Machine Learning Techniques;on the Role of Perceptual Information in Image Classification;bengali Text Classification Based on Probability Measure;comprehensive Analysis on the Performance of Antenna Design Using Machine Learning Techniques;design and Analysis of Novel Miniaturized Metamaterial Structures for Multiband Applications;hybrid Particle Swarm Optimization Based Deep Learning Model for the Stage Classification of Lung Cancer;Interference Cancellation by Using Viterbi Algorithm for Space Base AIS System;a Stacked Multichannel Feature Map Based U-Net Model for Brain Tumor Segmentation;spatial Attention Gated U-Net Structure for Capsule Endoscopy Image Super-Resolution;feature Engineering and Selection for the Identification of Fake News in Social Media;early Detection of Pathological Myopia in Fundus Images Using Deep Learning;an Investigation on the Extractive Summarization of Kannada Text;rice Plant Leaf Disease Detection—A Comparison of Various Methodologies;combating Fake News with Machine Learning and Deep Learning Methods;Employing Soft Computing-Based GGA-MLP for Hyperparameter Optimization in COVID-19-Infected Lung Image data Classification;Design of Compact UWB MIMO Antenna with High Isolation Using Square Swirl Shape EBG Structure;forecasting with Fuzzy Time Series and Variation.
The proceedings contain 76 papers. The topics discussed include: an intelligent blind glasses system based on stair & step recognition function;application of a new digital twin model in infrastructure constructio...
ISBN:
(纸本)9781665492713
The proceedings contain 76 papers. The topics discussed include: an intelligent blind glasses system based on stair & step recognition function;application of a new digital twin model in infrastructure construction;modeling and analysis of spatial-temporal relationship and risk evolution of emergencies based on big data from social media;safety monitoring system of south- to-north water diversion construction project based on big-data;predicting atmospheric humidity using artificial neural networks and BeiDou satellite navigation data;task offload optimization management of networked vehicles in edge computing environment;connected vehicle path planning and resource allocation in edge computing environment;study on influence of atmospheric turbulence over sea on laser communication between the ships;blockchain data privacy protection method based on intelligent collaborative computing;design of archives management information system based on blockchain technology;evaluation for warship satellite communication system;and evaluation method of wireless network communication anti-jamming performance based on rough set.
The proceedings contain 108 papers. The topics discussed include: adaptive super-resolution on-chip imaging;a new dynamic method of multiprocessor scheduling using modified crow search optimization;metamaterial loaded...
ISBN:
(纸本)9781665442909
The proceedings contain 108 papers. The topics discussed include: adaptive super-resolution on-chip imaging;a new dynamic method of multiprocessor scheduling using modified crow search optimization;metamaterial loaded miniaturized microstrip annular slot antenna with increased gain;hiding sensitive information in surveillance video without affecting nefarious activity detection;a study on secret data sharing through coverless steganography;design of a state derivative optimal control law using LMI technique for diving motion of autonomous underwater vehicle;forecasting carbon dioxide levels using autoregressive integrated moving average model;extended packet combining schemes for error control in wireless networks;performance evaluation of speech radio band extension technique using Simulink;and enhancement of higher order modes using characteristic mode analysis.
The proceedings contain 88 papers. The topics discussed include: analysis of underwater noise characteristics of ships in offshore waters;based on beidou short message of high-precision landslide early warning informa...
ISBN:
(纸本)9781510657694
The proceedings contain 88 papers. The topics discussed include: analysis of underwater noise characteristics of ships in offshore waters;based on beidou short message of high-precision landslide early warning information release technology research;analysis method of regional soil pollutants based on distributed sensing technology;application of short-range wireless communication technology in electrophysiological signal metrology;a deep learning approach of heartbeat classification for the single-lead ECG signals and inter-patient paradigm;research on finite element analysis andsignal denoising based on electromagnetic acoustic emission;integration and construction of gas monitoring and warning visualization platform;feature extraction and classification method of electrooculogram based on variational modal decomposition;research on interference avoidance technology for low earth orbit satellite based on spatial processing;and recognition and removal of EMG artifacts in single-channel EEG signals based on variational mode decomposition and second-order blind identification.
The proceedings contain 16 papers. The topics discussed include: melanoma classification using feature extraction methods and machine learning approaches;strategies to solve the problem of information cocoon â€&q...
The proceedings contain 16 papers. The topics discussed include: melanoma classification using feature extraction methods and machine learning approaches;strategies to solve the problem of information cocoon â€" research progress of cross-domain recommendation algorithm based on mining the potential interests of users;the development of ray tracing and its future;convolutional neural network and its application in handwritten digit and traffic sign recognition;a two-step rumor detection and classification method using machine learning;lip reading using multi-dilation temporal convolutional network;comprehensive survey on video denoise methods;optimization of CNN and LSTM based application on RC frame and long-span structural health monitoring;comparison of underlying algorithms in recommendation systems;and can PID make the electronic stability program more effective? research on co-simulation of electronic stability program.
Bode plot is often used to analyze the vibration of rotating machinery, which can graphically display the relationship between amplitude, phase and rotational speed during the start-up and shutdown of the equipment. T...
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With the development of science and technology and the progress of dataprocessing technology, big data weak signal detection is playing an increasingly important role in scientific research and engineering applicatio...
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A method is proposed to address the challenge of anomalous wind speed and power data in wind farms, aiming to clean the wind power data. This method utilizes an enhanced quartile approach and involves two main steps. ...
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In order to solve the problems of 'digital signalprocessing', such as many common knowledge points, difficult teaching, difficult visual teaching, and so on, a software platform for 'signalprocessing'...
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In genomic data analysis, DSP plays a crucial role in extracting hidden periodicities and other characteristic features from DNA or protein sequences. An illustrative example of this effective application is observed,...
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ISBN:
(纸本)9798350350661;9798350350654
In genomic data analysis, DSP plays a crucial role in extracting hidden periodicities and other characteristic features from DNA or protein sequences. An illustrative example of this effective application is observed, where the anti-notch filter (ANF) is employed to extract a three-base periodicity feature from a DNA sequence, which is quite useful in distinguishing exons from introns. However, the effectiveness of ANF techniques is compromised due to the excessive background noise in their period-3 spectrum. This background noise masks the discriminative three-base periodicity (TBP) features, increasing the likelihood of false predictions. To address this concern, various de-noising techniques have been proposed over the past decades. A second-order moving average filter is the most straightforward technique that has also been employed to suppress the background noise. In this work, a crucial aspect of the arrangement of the second-order moving average filter is discussed, which was not addressed in earlier research to the best of my knowledge. It is demonstrated how the direct cascading of a 2nd Order Moving Average Filter with an Anti-Notch Filter diminishes the Three-Base Periodicity (TBP) feature, significantly impacting the overall accuracy of exon prediction.
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