The proceedings contain 51 papers. The special focus in this conference is on Advances in Artificial Intelligence and machinelearning in Big Data Processing. The topics include: Topological Navigation of Path Plannin...
ISBN:
(纸本)9783031730641
The proceedings contain 51 papers. The special focus in this conference is on Advances in Artificial Intelligence and machinelearning in Big Data Processing. The topics include: Topological Navigation of Path Planning Using a Hybrid Architecture in Wheeled Mobile Robot;abnormal Behaviour Detection in Surveillance Videos;ISAApp – Image Based Smart Attendance Application;a Self-learning Ai-Based Information Leak Protection System;enhancing Abnormal Object Detection in Camera-Based Systems Through Computer Vision and Deep learning Techniques;Detection and Classification of Brain Tumor in Magnetic Resonance Images Using CNN;diagnosis of Parkinson’s Disease Using machinelearning and Deep learning Techniques;a Survey on Deep learning Based Human Activity Recognition System;a Deep learning Approach for Non - invasive Body Mass Index Calculation;Early-stage Detection of Alzheimer’s Disease Using MRI Scans with Deep learning;penguin Search Optimization with Deep learning Based Cybersecurity Malware Spectrogram Image Classification;Detection and Classification of Skin Disease Using CNN;estimation of Above Ground Biomass Using machinelearning and Deep learningalgorithms: A Review;URL Phishing Detection Using Deep learning and machinelearning Techniques;enhanced Disease Recognition and Classification in Black Gram Plant Leaves Using Deep learning;Ensemble Deep learning Approach for Identification of DDOS Attack;ROCLT: Enhanced Text Classifier for Sentiment on Imbalanced Multiclass Tweet Data Using Hybrid Deep learning Techniques;computer Vision to Animal Footprint Classification Based on Deep learning Model;Speech Emotion Recognition Using CNN Classifier Based on Deep learning Model;face Detection and Recognition for Criminal Identification System Using Deep learning.
The proceedings contain 35 papers. The special focus in this conference is on Mining Humanistic Data. The topics include: Digitally Assisted Planning and Monitoring of Supportive Recommendations in Canc...
ISBN:
(纸本)9783031083402
The proceedings contain 35 papers. The special focus in this conference is on Mining Humanistic Data. The topics include: Digitally Assisted Planning and Monitoring of Supportive Recommendations in Cancer Patients;CAIPI in Practice: Towards Explainable Interactive Medical Image Classification;a Deep Q Network-Based Multi-connectivity Algorithm for Heterogeneous 4G/5G Cellular Systems;simulating Blockchain Consensus Protocols in Julia: Proof of Work vs Proof of stake;Maximum Likelihood Estimators on MCMC Sampling algorithms for Decision Making;employing Natural Language Processing Techniques for Online Job Vacancies Classification;Probabilistic Quantile Multi-step Forecasting of Energy Market Prices: A UK Case study;proactive Buildings: A Prescriptive Maintenance Approach;performance Meta-analysis for Big-Data Univariate Auto-Imputation in the Building Sector;non-intrusive Diagnostics for Legacy Heat-Pump Performance Degradation;a 5G-Based Architecture for Localization Accuracy;anomaly Detection in Small-Scale Industrial and Household Appliances;an Innovative Software Platform for Efficient Energy, Environmental and Cost Planning in Buildings Retrofitting;deep learning-Based Segmentation of the Atherosclerotic Carotid Plaque in Ultrasonic Images;An Intelligent Grammar-Based Platform for RNA H-type Pseudoknot Prediction;An Automated 2D U-Net Segmentation Method for the Identification of Cancer Brain Metastases Using MRI Images;The Use of Robotics in Critical Use Cases: The 5G-ERA Project Solution;fundamental Features of the Smart5Grid Platform Towards Realizing 5G Implementation;experimentation Scenarios for machinelearning-Based Resource Management;efficient Data Management and Interoperability Middleware in Business-Oriented Smart Port Use Cases;5G for the Support of Smart Power Grids: Millisecond Level Precise Distributed Generation Monitoring and Real-Time Wide Area Monitoring;monitoring Neurological Disorder Patients via Deep learning Based Facial Expressions An
The proceedings contain 23 papers. The special focus in this conference is on Integrating learning, Optimization and Reasoning. The topics include: Towards Automated GDPR Compliance Checking;towards Utilitarian Combin...
ISBN:
(纸本)9783030739584
The proceedings contain 23 papers. The special focus in this conference is on Integrating learning, Optimization and Reasoning. The topics include: Towards Automated GDPR Compliance Checking;towards Utilitarian Combinatorial Assignment with Deep Neural Networks and Heuristic algorithms;an Analysis of Regularized Approaches for Constrained machinelearning;safe learning and Optimization Techniques: Towards a Survey of the state of the Art;a Causal Framework for Understanding Optimisation algorithms;uncertainty Quantification and Calibration of Imitation learning Policy in Autonomous Driving;synthesising Reinforcement learning Policies Through Set-Valued Inductive Rule learning;modelling Agent Policies with Interpretable Imitation learning;value-Alignment Equilibrium in Multiagent Systems;election Manipulation on Social Networks with Messages on Multiple Candidates Extended Abstract;process-To-Text: A Framework for the Quantitative Description of Processes in Natural Language;underestimation Bias and Underfitting in machinelearning;AI-Supported Innovation Monitoring;Semi-supervised Co-ensembling for AutoML;transparent Adaptation in Deep Medical Image Diagnosis;Two to Trust: AutoML for Safe Modelling and Interpretable Deep learning for Robustness;Consensus for Collaborative Creation of Risk Maps for COVID-19;Guided-LORE: Improving LORE with a Focused Search of Neighbours;interactive Natural Language Technology for Explainable Artificial Intelligence;Hybrid AI: The Way Forward in AI by Developing Four Dimensions;towards Certifying Trustworthy machinelearning Systems.
The increase in pollutant concentrations in the atmosphere is one of the most important environmental challenges that must be addressed. Researchers employed a range of cutting- edge machinelearning prediction algori...
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Clustering algorithms of the Neural Gas (NG) type take into consideration the dissimilarities between prototypes in the original input space. It has been successfully applied in vector quantization, topology creation ...
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The most intriguing task in life is vaticination in the medical field. Generally, Chronic Kidney Disease (CKD) is defined by a patient's urine abnormalities, structural abnormalities, or bloodied excretory, level ...
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With the escalating threats in the digital landscape, recognizing bad URLs has grown to be a paramount concern for ensuring cybersecurity. This research introduces an innovative approach leveraging machinelearning al...
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The intend of this paper is to provide an extensive review of communication protocols utilised in Wireless Sensor Networks utilizing advanced machinelearning (ML) methods to improve network lifetime. These approaches...
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In this work, we address the challenge of efficient task mapping and scheduling in Advanced Driver Assistance Systems (ADAS), which are becoming increasingly complex. For this, we explore Mixed-Integer Programming (MI...
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