machinelearning can be applied to cancer diagnosis, neurosurgery, radiotherapy, and so on. Its high accuracy and efficiency can improve the hospitals' overall efficiency and save diagnostic time. This paper aims ...
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The proceedings contain 70 papers. The special focus in this conference is on Soft Computing andsignalprocessing. The topics include: Human Pose Estimation and Activity Classification Using machinelearning Approach...
ISBN:
(纸本)9789811524745
The proceedings contain 70 papers. The special focus in this conference is on Soft Computing andsignalprocessing. The topics include: Human Pose Estimation and Activity Classification Using machinelearning Approach;implementation of Interpolation in Credit Card Fraud Detection;A Statistical-Semantic PSO Model for Customer Reviews-Based Question Answering Systems;low-Cost IoT Based Spirometer Device with Silicon Pressure Sensor;recommending Research Article Based on User Queries Using Latent Dirichlet Allocation;an Applied Time Series Forecasting Model for Yield Prediction of Agricultural Crop;design and Implementation of the Protocol for Secure Software-Based Remote Attestation in IoT Devices;label Assignment and Sentimental Analysis for a Product Review on Twitter Data;preserving the Privacy of Audio File Using Ideal Secret Sharing Scheme with Cloud Storage;hadoop Performance Acceleration by Effective Data and Job Placement;modified Quick Fuzzy Hypersphere Neural Network for Pattern Classification Using Supervised Clustering;third Eye: Assistance for Reading Disability;enhanced Attach Procedure for Prevention of Authentication Synchronisation Failure Attack;static Load Balancing Algorithms in Cloud Computing: Challenges and Solutions;a Survey on Text Question Responsive Systems in English and Indian Languages;vehicle Type Classification Using Deep learning;Deep learning Approach: Detection of Replay Attack in ASV Systems;acoustic Scene Classification Using Convolutional Neural Network;classification of Microscopic Algae: An Observational Study with AlexNet;Innovative Secure Authentication Interface for Hadoop Cluster Using DNA Cryptography: A Practical Study;a Novel True Colour Image Bit Modification Technique for Image Steganography;A GRU-Based Neural machine Translation Followed by Proper Noun Transliteration;real-Time Suspicious Activity Detection.
This paper discusses the heavy usage of source software which is free and open was because of the fact that it had many advantages associated with it like it was a cost saving and fast method but we know that everythi...
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The proceedings contain 106 papers. The topics discussed include: FPGA implementation of real-time star centroid extraction algorithm;PIMD signal modeling based on FTDNN;Wireless Sensor Networks Congestion Control Pro...
ISBN:
(纸本)9781728151021
The proceedings contain 106 papers. The topics discussed include: FPGA implementation of real-time star centroid extraction algorithm;PIMD signal modeling based on FTDNN;Wireless Sensor Networks Congestion Control Protocol Based on intelligent power allocation;region adaptive mode selection algorithms for image super-resolution;computation offloading management in vehicular edge network under imperfect CSI;offloading decisionalgorithm using evolutionary game for mobile edge computing;seismic facies recognition based on prestack data using two-dimensional gabor transform and unsupervised clustering;and research on blind equalization algorithm of multipath interference PCM-FM signal based on CMA.
With the increase in the number of smart devices, the data generated is growing exponentially, leading to a large amount of data flowing to the cloud and causing congestion in core network communication. Edge computin...
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The main focus of this study is to explore the basics on the discrete Fourier transform (DFT) strongly. This article exemplifies few important fundamental concepts behind DFT with a hands-on approach. The understandin...
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ISBN:
(纸本)9781538634523
The main focus of this study is to explore the basics on the discrete Fourier transform (DFT) strongly. This article exemplifies few important fundamental concepts behind DFT with a hands-on approach. The understanding signal frequencies in terms of the sampling frequency (Fs) of the discrete-time system with many examples are detailed with interestingly. This one will establish a thorough knowledge to design digital filters appropriately. Also, a few more tips and tricks such as the DFT of the repeated sequence and spectral leakage are demonstrated with examples clearly using the Matlab R2016b tool. The computer-based learning style helps the student community a lot to apply and explore their mind in recent and innovative digital signalprocessing (DSP) applications. This kind of study motivates student group with self-learning and hence reducing the teaching load.
Inspiration related snoring signals (IRSS) are essential for doctors and researchers to develop further study and establishment of personal health database. How to detect IRSS automatically from original audio recordi...
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ISBN:
(纸本)9781479954032
Inspiration related snoring signals (IRSS) are essential for doctors and researchers to develop further study and establishment of personal health database. How to detect IRSS automatically from original audio recording is significant in methods of acoustic based Obstructive Sleep Apnea/Hypopnea Syndrome (OSAHS) diagnosis and monitoring. We proposed a systematic approach combining signalprocessing with machinelearning techniques to detect IRSS from audio recording. Both the experimental results and computer studies demonstrate the efficiency of the proposed approach.
This project is attempting to solve the issue of unfair and inconsistent food price being charged in economy rice or mixed rice that widely seen in the cafe of hawker stall in Malaysia. The main cause of the problem i...
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ISBN:
(纸本)9781450362047
This project is attempting to solve the issue of unfair and inconsistent food price being charged in economy rice or mixed rice that widely seen in the cafe of hawker stall in Malaysia. The main cause of the problem is the absence of standardized price list of the food which causes the pricing of the mixed rice remains unknown. Hence, the authors had decided to propose this project by utilizing convolutional neural network (CNN) algorithm and develop a web application to ease the vendor as well as to provide transparency to the buyer on the food price being charged. CNN model is trained to classify the different types of food. The food price will be stored in a database of the web application in order to calculate the food price with the recognized food in the machinelearning model. The outcome of this project is a customized web application for Village 3 Cafe, UTP with a trained CNN classification model at the backend.
In order to de-noise the noise signal generated by radar and other military equipment and recover the original signal, two simulation models, Bp neural network and Elman neural network, were established by using MATLA...
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Stress identification is an important problem in speech processing, which aims to convey special attention to the listeners. Stressed words or syllables result in changing the meaning of a sentence. In the case of ton...
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