The proceedings contain 7 papers. The topics discussed include: performance comparison and analysis of medical image segmentation techniques;modified aspect/feature based opinion mining for a product ranking system;to...
ISBN:
(纸本)9781538643228
The proceedings contain 7 papers. The topics discussed include: performance comparison and analysis of medical image segmentation techniques;modified aspect/feature based opinion mining for a product ranking system;topology-based analysis of performance evaluation of centralized vs. distributed SDN controller;professional chat application based on natural language processing;an evaluation framework for security algorithms performance realization on FPGA;Ryu controllers scalability experiment on software defined networks;and a new strategy for solving unit commitment problem by PSO algorithm.
The proceedings contain 14 papers. The topics discussed include: an approach for efficient capacity management in a cloud;an efficient machine learning Bayes sentiment classification method based on review comments;ap...
ISBN:
(纸本)9781509049974
The proceedings contain 14 papers. The topics discussed include: an approach for efficient capacity management in a cloud;an efficient machine learning Bayes sentiment classification method based on review comments;applying classification techniques to predict students' academic results;efficient mining of frequent sub graphs;performance analysis of synergistic fibroblast optimization (SFO) algorithm;a frame work to construct automatic ontology with combine and partitioner logics;imputing the missing data in IoT based on the spatial and temporal correlation;scheduling scientific workflow tasks in cloud using swarm intelligence;a framework for tracking system aiding disabilities;performance inquisition of web services using soap UI and JMeter;a new histogram based quantization method to segment and count the rosette plant leaves;efficient selection of influential nodes for viral marketing in social networks;application of citation network analysis for improved similarity index estimation of legal case documents : a study;and an empirical study on effect of variations in the population size and generations of genetic algorithms in cryptography.
The proceedings contain 16 papers. The topics discussed include: a survey on network security tools for open source;a collaborative filtering recommender system with randomized learning rate and regularized parameter;...
ISBN:
(纸本)9781509019366
The proceedings contain 16 papers. The topics discussed include: a survey on network security tools for open source;a collaborative filtering recommender system with randomized learning rate and regularized parameter;computation offloading frameworks in mobile cloud computing : a survey;a survey on detection and classification of rice plant diseases;boundary tracing technique for convex and concave curves;an approach to file manager design for speech interfaces;effective route planning in road networks using multi constraint routing algorithm;and survey study on the methods of bird vocalization classification.
The proceedings contain 19 papers. The topics discussed include: a cascaded dynamic attention-based deep learning model segments brain tumors;integrated sensory perception: real-time object detection, action recogniti...
ISBN:
(纸本)9798350395808
The proceedings contain 19 papers. The topics discussed include: a cascaded dynamic attention-based deep learning model segments brain tumors;integrated sensory perception: real-time object detection, action recognition and emotion analysis;an effective framework of iris recognition using UNet-based segmentation and attention-based classification;VisioGuide: modified YoloV7 with ResNext for object detection to aid visually impaired individuals;machine learning approaches for emotion recognition: a comparative study;blockchain based toll collection system;traffic scene text detection for 3D environment;and high performance optimized and unified bus monitor for distributed avionics architecture validation under hardware-in-loop simulation framework.
The methodical research provides a comprehensive overview of the current state of cloud computing, with a specific focus on trends, barriers, and potential. This article analyzes advancements in cloud architectures, d...
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This study harnesses Convolutional Neural Networks (CNNs) alongside advanced Deep Learning models such as Long Short-Term Memory (LSTM), Bidirectional LSTM (bi-LSTM), and ResNet, incorporating Time Series Analysis and...
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The objective of the project is to see whether deep learning can be used to identify schizophrenia in teenagers by analysing their EEG data. The work takes advantage of both conventional and novel preprocessing techni...
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This article examines cybersecurity vulnerabilities in systems utilizing Language Model Interfaces, focusing on the challenges of building secure systems. It provides an overview of current interfaces and their associ...
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An interest in cloud computing is transforming and developing information technology continuously for business and personal needs. Most e-commerce companies are migrating and converting services and applications for t...
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ISBN:
(纸本)9798350351491;9798350351484
An interest in cloud computing is transforming and developing information technology continuously for business and personal needs. Most e-commerce companies are migrating and converting services and applications for the rich resources provided through cloud platforms. This is a new business era that helps change the cloud. A process, state, or concept is defined as transformation. Through a dynamic process, it shows the technological transformation as the world changes and adapts to external and internal forces. Companies invest their capital in developing IT infrastructure, maintaining, and updating hardware, and software, and improving their services. The cloud-based transformation is an excellent method for establishing a fresh service-oriented, value-effective, adaptable, and adaptable technologies. Switching from the IT infrastructure to services as a pay-per-use business model is done using the IT service model. The latest trends in cloud computing technology and next-generation models are rented. Moreover, m-commerce applications are based on mobile execution performance, which is the major concern of e-commerce industries. As we know, there are three major obstacles of mobile devices natures: (1) Resource constraint device (2) Client mobility and (3) High energy consumption, moreover this is the major m-commerce applications performance challenges. When doing complicated computer work, the device battery will run out quickly and need to be charged again and again. We want to provide an overview of the concept, process, and research area of offloading computation for the energy efficiency of smartphones. The issues and challenges in computing offloading for mobile cloud environments are discussed.
Smoking and excessive alcohol consumption remain pressing public health issues. This research aimed to develop Machine Learning (ML) models leveraging sensor and biomarker data to predict smoking and drinking behavior...
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