The proceedings contain 59 papers. The special focus in this conference is on Machine Intelligence and Smart systems. The topics include: Chronic Kidney Disease Prediction and Interpretation Using Explainable AI;syste...
ISBN:
(纸本)9783031317224
The proceedings contain 59 papers. The special focus in this conference is on Machine Intelligence and Smart systems. The topics include: Chronic Kidney Disease Prediction and Interpretation Using Explainable AI;systematic Review and Analysis of Artificial Intelligence-Based Breast Cancer Classification and Detection;war of Tweets: Sentiment Analysis on Ukraine Russia Conflict;Implementing HRRN for Evaluating Cloud Performance Using Reinforcement Learning;using Machine Learning for Prediction of Obstructions for Indoor Location systems.privacy Threats and Protection in Artificial Intelligence and Machine Learning;Combining Linguistic Information with BERT for Span Based End-to-End Aspect Based Sentiment Analysis;a Dimensionality Reduction Model: A Retrospective Approach on Dementia Triggering Parameters and Feature Ranking;effective Identification of Lung Diseases Using Few-Shot Learning;comparative Study on Classification Based-Data Mining Techniques in Early Diabetes Prediction;optimize Machine Learning Model for Sentiment Analysis of Online Education During Covid-19 Pandemic;review on the Challenges and Future Directions of Deep Learning-Based Techniques for Advance Prediction of Cardiac Attack;different Techniques for Detecting Plant Leaf Disease Using Machine Learning;proposed Framework of Extensive Humanoid Design Cycle and Recent Developments in Bipedal Walk;natural Language Processing for Waste Management Using Public Opinions in Smart Cities;prediction of Diabetes During Pregnancy Through Fog Environment;empirical Wavelet Transform Grounded Poignant Ground Target Recognition and Classification by Seismic Signal Processing;A Powered-Up Classification of Disabling distributed Network Cloud-Based Attacks Using MLPNN-BP and MLPNN-LM;stroke Prediction Framework Based on Missing Value Information and Outlier Detection by Using Machine Learning Techniques in E-Healthcare;magnetic Resonance Imaging Digitization for Brain Abnormality Recognition.
The proceedings contain 59 papers. The special focus in this conference is on Machine Intelligence and Smart systems. The topics include: Chronic Kidney Disease Prediction and Interpretation Using Explainable AI;syste...
ISBN:
(纸本)9783031691140
The proceedings contain 59 papers. The special focus in this conference is on Machine Intelligence and Smart systems. The topics include: Chronic Kidney Disease Prediction and Interpretation Using Explainable AI;systematic Review and Analysis of Artificial Intelligence-Based Breast Cancer Classification and Detection;war of Tweets: Sentiment Analysis on Ukraine Russia Conflict;Implementing HRRN for Evaluating Cloud Performance Using Reinforcement Learning;using Machine Learning for Prediction of Obstructions for Indoor Location systems.privacy Threats and Protection in Artificial Intelligence and Machine Learning;Combining Linguistic Information with BERT for Span Based End-to-End Aspect Based Sentiment Analysis;a Dimensionality Reduction Model: A Retrospective Approach on Dementia Triggering Parameters and Feature Ranking;effective Identification of Lung Diseases Using Few-Shot Learning;comparative Study on Classification Based-Data Mining Techniques in Early Diabetes Prediction;optimize Machine Learning Model for Sentiment Analysis of Online Education During Covid-19 Pandemic;review on the Challenges and Future Directions of Deep Learning-Based Techniques for Advance Prediction of Cardiac Attack;different Techniques for Detecting Plant Leaf Disease Using Machine Learning;proposed Framework of Extensive Humanoid Design Cycle and Recent Developments in Bipedal Walk;natural Language Processing for Waste Management Using Public Opinions in Smart Cities;prediction of Diabetes During Pregnancy Through Fog Environment;empirical Wavelet Transform Grounded Poignant Ground Target Recognition and Classification by Seismic Signal Processing;A Powered-Up Classification of Disabling distributed Network Cloud-Based Attacks Using MLPNN-BP and MLPNN-LM;stroke Prediction Framework Based on Missing Value Information and Outlier Detection by Using Machine Learning Techniques in E-Healthcare;magnetic Resonance Imaging Digitization for Brain Abnormality Recognition.
The proceedings contain 139 papers. The topics discussed include: water quality prediction based on a novel hybrid model of arima and RBF neural network;incremental clustering in short text streams based on BM25;compa...
ISBN:
(纸本)9781479947201
The proceedings contain 139 papers. The topics discussed include: water quality prediction based on a novel hybrid model of arima and RBF neural network;incremental clustering in short text streams based on BM25;comparison of SVM classification method and semantic similarity method for sentiment classification;CDQA: an ontology-based question answering system for Chinese delicacy;link prediction in SINA microblog using comprehensive features and improved SVM algorithm;mining the impact of social news on the emotions of users based on deep model;automatic image annotation combining SVMs and KNN algorithm;a self -learning algorithm for predicting the running vehicle attitude;sentiment analysis of microblog text based on joint sentiment-topic model;robust hand tracking with posture recognition via online learning;remote sensing image enhancement based on wavelet analysis and histogram specification;and improved minimum squared error method for robust classification.
The proceedings contain 38 papers. The topics discussed include: programming smart object federations for simulating and implementing ambient intelligence scenarios;embedded system architecture for mobile augmented re...
ISBN:
(纸本)9789898565433
The proceedings contain 38 papers. The topics discussed include: programming smart object federations for simulating and implementing ambient intelligence scenarios;embedded system architecture for mobile augmented reality - sailor assistance case study;improving user experience via motion sensors in an ambient intelligence scenario;password based secure authentication methodology for wireless sensor network;vision based environment mapping by network connected multi-robotic system;privacy in smart cities - a case study of smart public parking;an efficient approach to object recognition for mobile robots;making task models and dialog graphs suitable for generating assistive and adaptable user interfaces for smart environments;system support for privacy-preserving and energy-efficient data gathering in the global smartphone network - opportunities and challenges;and revisiting the informed consent principle for data release.
The ever-growing complexity of IoT networks ignited by their wide scale adoption in applications such as smart cities, the industrial automation, and health care, compelled to develop sophisticated yet resource effici...
详细信息
ISBN:
(数字)9798331523893
ISBN:
(纸本)9798331523909
The ever-growing complexity of IoT networks ignited by their wide scale adoption in applications such as smart cities, the industrial automation, and health care, compelled to develop sophisticated yet resource efficient and scalable network management solution. Centralized systems.are traditional in architecture, which leads to higher latency and bottlenecks, while decentralized systems.can distribute workloads however the lack of adaptability to real time, along with the difficulty of extracting maximum resource usage, are limitations. In recent years, reinforcement learning (RL) based approaches have taken shape as a promising alternative to facilitate the automated learning and optimisation of task management. However, there are two challenges for existing RL based methods: slow convergence, inefficient priority assignment of tasks, and poor coordination amongst agents in the case of dynamic, large scale IoT environment. To solve these challenges, in this research we propose a distributed reinforcement learning based multi agent framework for managing IoT network. The framework also integrates a task prioritization mechanism to dynamically choose an optimal task allocation solution. Further validation was performed in a simulated IoT environment where real world inspired datasets were used. The proposed framework demonstrated 30% more task throughput than centralized, 25% less latency than decentralized, and 40% more energy efficiency than current RL based systems. The system was further validated using advanced visualizations such as anomaly detection maps and resource allocation efficiency graphs, demonstrating its capacity to manage dynamic load of tasks and resource allocation. The proposed framework addresses the critical limitations of current methods, through scalable, adaptive, and energy efficient framework for managing IoT network, and accordingly helps advancing the intelligent and autonomous IoT systems.
The proceedings contain 29 papers. The topics discussed include: cutting the energy cost of TV content distribution by 5, by understanding the popularity of the top ten programs;analysis of disk power management for d...
ISBN:
(纸本)9781450310550
The proceedings contain 29 papers. The topics discussed include: cutting the energy cost of TV content distribution by 5, by understanding the popularity of the top ten programs;analysis of disk power management for data-center storage systems.applying traffic merging to datacenter networks;an energy aware framework for virtual machine placement in cloud federated data centres;an intermittent energy internet architecture;comparison of energy efficiency in VoIP and PSTN network;a delay based optimization scheme for peak load reduction in the smart grid;on the intertwining between capacity scaling and TCP congestion control;toward an analytic framework for the electrical power grid;learning to be energy-wise: discriminative methods for load disaggregation;and analysis on the battery lifespan of a mobile terminal under probabilistic delay constraint.
The AMBA protocol comprises the Advanced Peripheral Bus (APB) component, designed for low-power, efficient communication between microprocessors and peripherals in mainstream System-on-Chip (SoC) designs. Its strength...
详细信息
ISBN:
(数字)9798331525439
ISBN:
(纸本)9798331525446
The AMBA protocol comprises the Advanced Peripheral Bus (APB) component, designed for low-power, efficient communication between microprocessors and peripherals in mainstream System-on-Chip (SoC) designs. Its strength lies in simplicity, integration convenience, and low-latency communication making it the right choice for energy-sensitive applications. Therefore, in this paper, the design and verification of the APB protocol have been discussed based on a Finite State Machine (FSM) model to give a broad overview of the various phases of operation of the standard and a structured implementation. Verification is completed using System Verilog to thoroughly check the functional and timing aspects of APB-based verification. Abstract state checks and coverage analyses confirm compliance with the protocol specification and ensure dependable performance. Constrained random testing, assertion-based verification, and thorough coverage analysis are practiced on the designed model. Simulations showed that the protocol exhibits the typical low-power communication behaviour fitting into modern SoC architectures and applications like IoT devices or embedded systems.
The proceedings contain 127 papers. The topics discussed include: encryption models for patient record databases;on the feasibility of a statewide patient record database;an algorithm for massive loading of raster geo...
ISBN:
(纸本)9806560841
The proceedings contain 127 papers. The topics discussed include: encryption models for patient record databases;on the feasibility of a statewide patient record database;an algorithm for massive loading of raster geo-spatial data;patient flow optimization model;properties investigation of thin films photovoltaic hetero-structures;ultra-fast optical signal processing based on nonlinear optical effects in quantum dot semiconductor optical amplifiers (QD SOAs);visualization of nanoscale processes by image processing methods;nano indentation inspection of the mechanical properties of gold nitride thin films;computerized analysis of flowing conditions for use of chemical sticks in natural gas wells;implementation of a neural network controller on a real time system;type-2 fuzzy set based neuro-fuzzy model for identification and control of nonlinear systems.and intelligent control of blood glucose for diabetes mellitus patient.
The proceedings contain 127 papers. The topics discussed include: encryption models for patient record databases;on the feasibility of a statewide patient record database;an algorithm for massive loading of raster geo...
ISBN:
(纸本)9806560833
The proceedings contain 127 papers. The topics discussed include: encryption models for patient record databases;on the feasibility of a statewide patient record database;an algorithm for massive loading of raster geo-spatial data;patient flow optimization model;properties investigation of thin films photovoltaic hetero-structures;ultra-fast optical signal processing based on nonlinear optical effects in quantum dot semiconductor optical amplifiers (QD SOAs);visualization of nanoscale processes by image processing methods;nano indentation inspection of the mechanical properties of gold nitride thin films;computerized analysis of flowing conditions for use of chemical sticks in natural gas wells;implementation of a neural network controller on a real time system;type-2 fuzzy set based neuro-fuzzy model for identification and control of nonlinear systems.and intelligent control of blood glucose for diabetes mellitus patient.
The proceedings contain 176 papers. The topics discussed include: lessons learned in design and delivery of an introductory styling MOOC;machine learning approach to task ranking;coercion resistance in a practical sec...
ISBN:
(纸本)9781538608401
The proceedings contain 176 papers. The topics discussed include: lessons learned in design and delivery of an introductory styling MOOC;machine learning approach to task ranking;coercion resistance in a practical secret voting scheme for large scale elections;an evaluation method of data valuation based on analytic hierarchy process;more on the inverse problem of Steiner Wiener index;probabilistic frequent itemsets mining based on expectation bound over uncertain database;on detecting partially occluded faces with pose variations;grid-based indexing and search algorithms for large-scale and high-dimensional data;image segmentation based on exponential kernel function;a personnel identification method based on the regional division of a classroom image;accurate camera calibration using iteratively optimized algorithm of control points;and a novel fish image retrieval method based on saliency spatial pyramid.
暂无评论