The phenemeon of retinal condition brought about by expanding intraocular strain inside the eye is knows as Glaucoma. The existing diagnosis process of glaucoma through various careful retinal tests such as ophthalmos...
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Perception of depth is required for automatic path planning for rover navigation on the surface of a celestial body. The current method of generating disparity maps involves offline computation as the rover has low co...
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The use of modern technology for better diagnosis of life-threatening diseases like brain cancer is becoming increasingly vital for the medical field. The manual verification of brain images lacks accuracy due to huma...
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This paper introduces a novel method for raw cow milk classification combining speckle pattern (SP) imaging and AI-based processing of statistical parameters. Raw cow milk has been classified considering (i) 6 statist...
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In this paper, we analyze deep visual features from 2D data representation(s) of the respiratory sound to detect evidence of lung abnormalities. The primary motivation behind this is that visual cues are more importan...
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ISBN:
(纸本)9783031235986;9783031235993
In this paper, we analyze deep visual features from 2D data representation(s) of the respiratory sound to detect evidence of lung abnormalities. The primary motivation behind this is that visual cues are more important in decision-making than raw data (lung sound). Early detection and prompt treatments are essential for any future possible respiratory disorders, and respiratory sound is proven to be one of the biomarkers. In contrast to state-of-the-art approaches, we aim at understanding/analyzing visual features using our Convolutional Neural Networks (CNN) tailored Deep learning Models, where we consider all possible 2D data such as Spectrogram, Mel-frequency Cepstral Coefficients (MFCC), spectral centroid, and spectral roll-off. In our experiments, using the publicly available respiratory sound database named ICBHI 2017 (5.5 h of recordings containing 6898 respiratory cycles from 126 subjects), we received the highest performance with the area under the curve of 0.79 from Spectrogram as opposed to 0.48 AUC from the raw data from a pre-trained deep learning model: VGG16. Our study proved that 2D data representation could help better understand/analyze lung abnormalities as compared to 1D data. In addition, our results can be compared with previous works.
The proceedings contain 59 papers. The special focus in this conference is on Microelectronics, Communication Systems, machinelearning, and Internet of Things. The topics include: Analysis on image Compression for Mu...
ISBN:
(纸本)9789811919053
The proceedings contain 59 papers. The special focus in this conference is on Microelectronics, Communication Systems, machinelearning, and Internet of Things. The topics include: Analysis on image Compression for Multimedia Communication Using Hybrid of DWT and DCT;face Detection Using Convolutional Neural Network;utilization of Smartphone-Based Wireless Sensors in Agricultural Science: A state of Art;development of Smart Village for Better Lifestyle of Farmers by Crop and Health Monitoring System;a Novel Approach for Sink Route in Wireless Sensor Network;automated Cheque processing Through Data Verification and Siamese Networks;Degradation of Optical Communication System Performance Due to SPM;real-Time Measurement and Analysis of Power Quality Issues in Distribution System;Design of Low-Power 10T Full Adder Circuit using DG—MOSFET at 180 nm Technology;study the Effect of Pt–Ga Sensitization on Sol–Gel-Grown Nano-ZnO Thin-Film H2 Sensor;preface;design, Implementation, and study of an IoT-Based Battery Life Cycle Tester and state of Charge Indicator;effect of Electromagnetic Radiations on Children;Experimental Investigation of Solar PV Panel Using Phase Change Material Cooling by Capric Acid (C10H20O2);Performance Enhancement of PV Panel by Cooling Front Surface of PV Panel with the Use of Water as a Cooling Medium;drinking Water Quality of Different Industrial Sources: (Environmental Science and Engineering, Urban Planning);Design of Low-Power High-Efficient Single-Tail Comparator Using 180 nm CMOS Technology;design of Protection Circuit for Biomedical Signals Using 180 nm Technology;analyzing Performance of IoT Applications—A Software Metric Approach;study and Comparison of Various Protection Configurations in Optical Networks;Design of CMOS Low Noise Amplifier.
This work describes a unique technology that uses an intelligent segmentation algorithm to precisely delineate ovarian cancers from CT scans, revolutionizing diagnostic accuracy and clinical decision-making. Our syste...
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The proceedings contain 42 papers. The special focus in this conference is on Advances in Fluid Flow and Thermal Sciences. The topics include: Modelling of Subcooled Boiling in Corrugated Pipes;Experimental studies on...
ISBN:
(纸本)9789811933783
The proceedings contain 42 papers. The special focus in this conference is on Advances in Fluid Flow and Thermal Sciences. The topics include: Modelling of Subcooled Boiling in Corrugated Pipes;Experimental studies on Thermoelectric Generator Used in IC Engines;the Influence of Baffle Cut and Baffle Distance on a Shell-Side Fluid Flow of a Shell-and-Tube Heat Exchanger;experimental Investigation on Droplet Regimes and Droplet Impact on Horizontal Tube Array;Flow Control Using MVG in Shock Wave/Boundary Layer Interaction;a Review on Design and Optimisation of Axial Fan;numerical Simulation of Flow Past Elliptic Cylinder Using Smoothed Particle Hydrodynamics;visualisation studies on Bubbles Formation and Propagation in Pool Boiling;Natural Convection of CMC/Water Mixture and Alumina Nanoparticles in a Cavity with Two Isoflux Heaters;predictive Analysis of Air-Cooled Condenser by Considering Fouling Using machinelearning Algorithm;analysis of Losses in Centrifugal Pump with Two Different Outlet Diameter of Impeller;Design Optimization of Splitter, Venturi Valve, and Charlotte Valve Using CFD;analysis of Wave Breaking in Pipe Flow Using imageprocessing Technique;performance Evaluation of Porous Layer in Jet Impingement Heat Transfer;Simple Analytical Model for Mass Transport Resistance for Passive DMFC;CFD Analysis and Validation of Airflow pattern in Typical Indian Rooms;shape and Size Effects of Glass Mini-Channels on Infrared Sensors in Air–Water Two-Phase Flow;comparative Analysis of Drag Force in a Deep-Water Wading Simulation of Ahmed Body with Different Commercial Automobile Models;improving Efficiency of Diesel Engine by Oxygen Enrichment Using Pressure Swing Adsorption Technique.
Modern face recognition systems are mostly based on deep learning models. These models need a large amount of data and high computational power to be trained. Often, a feature extraction network is pretrained on large...
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ISBN:
(纸本)9783031064302;9783031064296
Modern face recognition systems are mostly based on deep learning models. These models need a large amount of data and high computational power to be trained. Often, a feature extraction network is pretrained on large datasets, and a classifier is finetuned on a smaller private dataset to recognise the identities from the features. Unfortunately deep learning models are exposed to malicious attacks both during training and inference phases. In backdoor attacks, the dataset used for training is poisoned by the attacker. A network trained with the poisoned dataset performs normally with generic data, but misbehave with some specific trigger data. These attacks are particularly difficult to detect, since the misbehaviour occurs only with the trigger images. In these paper we present a novel marker-free backdoor attack for face recognition systems. We generate a label-consistent poisoned dataset, where the poisoned images matches their labels and are difficult to spot by a quick visual inspection. The poisoned dataset is used to attack an Inception Resnet v1. We show that the network finetuned on the poisoned dataset is successfully fooled, identifying one of the author as a specific target identity.
A model diagram is a crucial aspect of various scientific documents that are available as hard or soft copies. Often, the information captured in these diagrams is complex and needs deeper comprehension by human exper...
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