In this study, we suggest short-range, lightweight 6th subsequent generations (6 G) in-X network parts as a valuable radio concept responding to the demanding connectivity requirements of new applications like wearabl...
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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 U...
ISBN:
(纸本)9789819986279
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.
With faster connection speeds, the new age of digital reality is facilitated by faster network technology. the result is a modern technology called the internet of things (IoT) that requires extensive internet connect...
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ISBN:
(纸本)9783031751691;9783031751707
With faster connection speeds, the new age of digital reality is facilitated by faster network technology. the result is a modern technology called the internet of things (IoT) that requires extensive internet connectivity to operate. Compared to previous technological advances, the frequency of outrageous 5G requests is increasing, resulting in transfer speeds of up to 20 Gbps and capacity that can be increased a thousand-fold. With 5G you get extremely dense network support, high reliability, and maximum security. this makes producing new, advanced products more cost-effective. A 5G network provides a broad foundation for future ventures, including the internet of things, AI, and other cutting-edge technologies the performance of IoT networks has been analyzed in terms of the amplitude of received signal over symbol index.
While the majority of focus in quantum computing has so far been on monolithic quantum systems, quantum communication networks and the quantum internet in particular are increasingly receiving attention from researche...
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ISBN:
(纸本)9783031637773;9783031637780
While the majority of focus in quantum computing has so far been on monolithic quantum systems, quantum communication networks and the quantum internet in particular are increasingly receiving attention from researchers and industry alike. the quantum internet may allow a plethora of applications such as distributed or blind quantum computing, though research still is at an early stage, both for its physical implementation as well as algorithms;thus suitable applications are an open research question. We evaluate a potential application for the quantum internet, namely quantum federated learning. We run experiments under different settings in various scenarios (e.g. network constraints) using several datasets from different domains and show that (1) quantum federated learning is a valid alternative for regular training and (2) network topology and nature of training are crucial considerations as they may drastically influence the models performance. the results indicate that more comprehensive research is required to optimally deploy quantum federated learning on a potential quantum internet.
Blockchain, as a decentralized distributed ledger technology, offers secure data exchange and reliable identity authentication for internet of things (IoT) devices, introducing new ideas for IoT development. Practical...
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In view of the problems and situations faced by the informatization construction of the trade union service system in colleges and universities during the "internet +" era and against the background of the i...
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ISBN:
(纸本)9781665492546
In view of the problems and situations faced by the informatization construction of the trade union service system in colleges and universities during the "internet +" era and against the background of the increasingly personalized demands of university staff groups, this paper conducts a deep analysis of how college and university trade unions in the "internet +" era should use new internet technologies to improve service functions and promote the construction of a service system. the analysis shows that the deep integration of the service system construction and "internet +" is an irresistible trend. Cloud computing, big-data analysis, and other technologies should be used to provide technical support for the service system construction of labor unions in colleges and universities, improve their work efficiency, enhance the experience of college staff, and create a more civilized and harmonious campus.
the 'Online Voting System'is a platform where citizens can vote. It can be done electronically, through a website, mobile app, or anything connected to an internet device. the physical voting system is very in...
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Our research paper addresses the pressing security challenges emerging within the rapidly expanding internet of things (IoT) landscape, with a specific focus on the IOTA Tangle-a distributed ledger based on Directed A...
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this article proposes a new Artificial Intelligent (AI) and Machine Learning (ML) based framework for 6G-enabled Intelligent edge computing. the framework will be equipped with multiple cognitive controllers to harmon...
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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 U...
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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