The proceedings contain 85 papers. The special focus in this conference is on datascience, machine learning and applications. The topics include: Design of QCA-Based XOR/XNOR Structures;Design of QCA-Based 1-Bit Magn...
ISBN:
(纸本)9789811959356
The proceedings contain 85 papers. The special focus in this conference is on datascience, machine learning and applications. The topics include: Design of QCA-Based XOR/XNOR Structures;Design of QCA-Based 1-Bit Magnitude Comparator;a Novel Multimodal Anatomical Medical Image Fusion Using Structure Extraction;Parametric Analysis for Channel Estimation in Massive MIMO Systems with 1-Bits ADCs;skin Cancer Classification Using Deep learning;image Dehazing Using Improved Dark Channel and Vanherk Model;A Novel Bayesian Fusion Model for IR and Visible Images;Retinal Boundary Segmentation in OCT Images Using Active Contour Model;Spectral Efficiency for Multi-bit and Blind Medium Estimation of DCO-OFDM Used Vehicular Visible Light Communication;An Efficient Retinal Layer Segmentation Based on Deep learning Regression Technique for Early Diagnosis of Retinal Diseases in OCT and FUNDUS Images;Design of QCA-Based BCD Adder;crop Yield Prediction Using Deep learning;preface;road Accident Detection and Indication System;real-Time Tweets Streaming and Comparison Using Naïve Bayes Classifier;smart Shopping Trolley for Billing System;a Survey on IoT Protocol in Real-Time applications and Its Architectures;safe Characteristic Signature Systems with Different Jurisdiction Using Blockchain in E-Health Records;web-Based Trash Segregation Using Deep learning Algorithm;home Automation Using Face Recognition for Wireless Security;Hybrid-Network Intrusion Detection (H-NID) Model Using machinelearning Techniques (MLTs);impact of Using Partial Gait Energy Images for Human Recognition by Gait Analysis;Several Routing Protocols, Features and Limitations for Wireless Mesh Network (WMN): A Review;a Deep Meta-model for Environmental Sound Recognition;design of Progressive Monitoring Overhead Water Tank.
The proceedings contain 48 papers. The topics discussed include: on the effect of complex network topology in managing epidemic outbreaks;holt’s linear model of COVID-19 morbidity forecasting in Ukraine;knowledge rep...
The proceedings contain 48 papers. The topics discussed include: on the effect of complex network topology in managing epidemic outbreaks;holt’s linear model of COVID-19 morbidity forecasting in Ukraine;knowledge representation and automated formal reasoning in description logic ALC;solutions outlining on the set of structured technological problems with imposed constraints;mathematical models of group dynamics when working in teams of developers of training distance courses;activating the process of educational services using independent computing resources to manage and monitor the quality of learning;and the developing of the system for automatic audio to text conversion.
The proceedings contain 90 papers. The topics discussed include: application of the intra cluster, characteristic of k-means clustering method in English score analysis in colleges;refined range analysis of early warn...
The proceedings contain 90 papers. The topics discussed include: application of the intra cluster, characteristic of k-means clustering method in English score analysis in colleges;refined range analysis of early warning and pre-control based on multi-element spatiotemporal clustering;the effect of algorithm parameters on the number of iterations of the dual fat boundary method;research on the classification of prosperity indexes of monitoring and early warning of marine development based on grey system theory;an optimal algorithm analysis of signal transitive random signal without noise feedback;impact of government subsidies on green supply chain operation under different power structures;exploratory study on key influencing factors of successful implementation of ERP system based on the perspective of grounded theory;and research on innovation input of manage strategy based on data analysis.
The proceedings contain 44 papers. The topics discussed include: data preprocessing for learning, analyzing and detecting scene text video based on rotational gradient;meteorological forecasting based on big data anal...
ISBN:
(纸本)9781450388382
The proceedings contain 44 papers. The topics discussed include: data preprocessing for learning, analyzing and detecting scene text video based on rotational gradient;meteorological forecasting based on big data analysis;detection of text from video with customized trained anatomy;machinelearning framework for COVID-19 diagnosis;intelligent learning systems for LLL courses intelligent learning systems for LLL courses;fuzzy cross recurrence analysis and tensor decomposition of major-depression time-series data;health care workers’ use of electronic medical information systems: benefits and challenges;and application of electronic health records in polyclinics: barriers & benefits.
This research explores the application of combined machinelearning techniques for predicting disease symptoms, aiming to support early diagnosis and improve healthcare outcomes. By analyzing both regression and class...
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The single-controlled experimental method plays an important role in medical research, while it has a lot of limitations. With the rapid development of artificial intelligence, machinelearning, and game theory are pl...
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This article examines how the Internet of Things (IoT) is rapidly transforming the medical field. IoT technologies are revolutionizing patient care, increasing productivity, and boosting results in a variety of ways, ...
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Voice assistant applications have become integral parts of modern technology ecosystems, offering users convenient and efficient ways to interact with their devices. This paper introduces Voice Ai, a versatile voice a...
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The Class Imbalance Problem (CIP) is a critical challenge in machinelearning, particularly in applications such as medical diagnosis and fraud detection, where minority classes are underrepresented but crucial. This ...
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Crop classification is essential for local and national governments to make informed agricultural decisions. Remote sensing technology has made it possible to employ high-resolution hyperspectral images (HSIs) for lan...
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