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检索条件"丛书名=Lecture Notes in Networks and Systems"

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Imagery Data Impact Analysis in Machine Learning Algorithm Performance for Bushfire Detection systems 9th

Imagery Data Impact Analysis in Machine Learning Algorithm P...

引用

9th International Congress on Information and Communication Technology (ICICT)

作者： Partheepan, Shouthiri Sanati, Farzad Hassan, Jahan Cent Queensland Univ Sch Engn & Technol Norman Gardens Qld 4701 Australia Eastern Univ Sri Lanka Fac Sci Dept Math Chenkalady 30000 Batticaloa Sri Lanka

ISBN: (纸本)9789819735556;9789819735563

The increased number and intensity of recent bushfire events has become a critical environmental and economic issue. A robust bushfire detection mechanism is crucial for mitigating their impact. Machine learning (ML) and deep learning (DL) algorithms have been extensively employed in this context. However, understanding the factors influencing bushfire detection can enhance algorithmic performance. This study assesses the impact of diverse datasets on ML and DL algorithms efficiency and effectiveness in detecting bushfires across three ML algorithms (support vector machine (SVM), logistic regression (LR), and random forest (RF)) and three CNN algorithms (VGG16, VGG19, and ResNet50). Datasets of varying quantity and quality were utilized to evaluate algorithm performance. Our primary objective is to identify influential factors related to data quality and quantity for imagery analysis in bushfire detection and recommend effective algorithms. Our findings reveal that the optimal detection algorithm depends on factors such as specific goals, dataset size, computational resources, and trade-offs between accuracy, interpretability, and complexity. Combining different algorithms through techniques like model stacking or ensembling can offer additional value.

关键词： Machine learning Deep learning CNN Image processing Bushfire detection

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Homo Deus: Technoskepticism/Techno-Optimism - Slipping into the Technosphere 10th

Homo Deus: Technoskepticism/Techno-Optimism - Slipping into ...

引用

International Conference on New Technologies, Development and Application - Advanced Production Processes and Intelligent systems

作者： Alibegovic, Abdel Radeljas, Dina Tahirovic, Omar Arnautovic, Alen Univ Sarajevo Fac Polit Sci Dept Sociol Sarajevo 71000 Bosnia & Herceg Mohawk Valley Community Coll Publ & Human Serv Dept PH 353 Utica NY USA

ISBN: (纸本)9783031662706;9783031662713

Contemplating the future of human evolution and understanding the role of technology in shaping our destiny inevitably borders on technoskepticism and/or techno-optimism as two specific perspectives that, individually and together, arise from the accelerated technological dynamics. It is essential to point out the fundamental starting points or foundations based on which we can speak about our perception of the technological moment. What significantly and decisively dictates the overall mechanization of our world, first and foremost, involves the rapid development of artificial intelligence, advances in biotechnology, automation, and other technological innovations. Is it justified to affirm the narrative about the brighter sides of technology and how technological innovations can contribute to human evolution? The phrase "slip into the technosphere" suggests the open possibility of a gradual or unexpected transition of human civilization into the sphere of pervasive/comprehensive technology, opening the door to discussions about the balance between technological progress and human well-being.

关键词： Homo Deus Technosphere Technoskepticism Techno-optimism Future of human evolution Technological Abyss

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Segmentation of Online Customers Based on Household Panel Data Using Unsupervised Learning

Segmentation of Online Customers Based on Household Panel Da...

引用

International Conference on Intelligent and Fuzzy systems (INFUS)

作者： Erden, Serhan Berke Erisen, Mert Dogruak, Utku Kaya, Tolga Istanbul Tech Univ Dept Management Engn TR-34367 Istanbul Turkiye Ipsos TR-34854 Istanbul Turkiye

ISBN: (纸本)9783031671944;9783031671951

Marketing departments of companies often struggle with cost-related issues arising from insufficient and inaccurate definition of their target customers. They desire to focus on customers who are highly profitable and loyal. The aim of this study is to enable companies with e-commerce activities to precisely define their target customer segments and understand their characteristics better. For this purpose, the e-commerce transaction dataset provided by a household panel company operating in Turkiye is used. In this project, where a real-life case is analysed, unsupervised machine learning algorithm, K-Means, is used. By doing cluster analysis, the eventual aim is to reach the right number of clusters having similar customer behaviours. The result demonstrates successful modelling, achieving distinct segments consisting of homogenous personas. Consequently, enterprises with e-commerce activities will be able to identify different customer types more effectively, which paves the way for the development of customised marketing strategies, increasing loyalty and profitability.

关键词： Customer Segmentation Clustering Unsupervised Learning Machine Learning Customised Marketing Strategies Loyalty K-Means

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Decision Making in Artificial Social Conditions

Decision Making in Artificial Social Conditions

引用

Intelligent systems Conference

作者： Balanev, Dmitry Naidenko, Daria Tomsk State Univ Psychol Dept Tomsk 634050 Russia Tomsk State Univ Neurosci Ctr Tomsk 634050 Russia

ISBN: (纸本)9783031663352;9783031663369

Advances in network science may be highly applicable in wide range of research areas for better understanding human behavior and predicting its outcomes. The article presents results of behavioral economics experiment aimed at investigating decision making strategies and their transformation in iterative Prisoner's Dilemma (IPD). During the experiment, participants were involved in artificial social interaction and experimentally induced socialization. Data on participants' behavior and its evolution in IPD were classified according to winstay, lose-shift, and other strategies. The process of strategy evolution and shifting was traced from the point of reference sample interaction, sequences of actions, and then generalized at the level of neural network. We found that information on a behavioral strategy and a number of cooperative and non-cooperative trials increased the efficiency of the model for predicting individual behavior. Results based on a neural network employed as a classifier for recognizing implicitly expressed strategies in various social conditions were also discussed.

关键词： Behavior modeling Decision making Decision strategy Prisoner's Dilemma Artificial social conditions Social interaction Cooperation Neural network

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Detecting Anomalies in Data Using Z-numbers 1

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International Conference on Intelligent and Fuzzy systems (INFUS)

作者： Balashirin, Alekperov Ramiz Togrul, Sufanzade Tural Odlar Yurdu Univ Dept Comp Engn AZ-1072 Baku Azerbaijan Azerbaijan State Oil & Ind Univ AZ-1010 Baku Azerbaijan Odlar Yurdu Univ AZ-1072 Baku Azerbaijan

ISBN: (数字)9783031671951

ISBN: (纸本)9783031671944;9783031671951

The study of issues related to the detection of anomalies in time series in various fields of activity is very relevant. There are several methods for detecting anomalies in time series. However, there are some problems with detecting anomalies in the data, and understanding them is important for developing more effective approaches.: - The definition of an anomaly is mostly subjective and depends on the context. - The lack of clear definitions of anomalies makes it difficult to develop effective models.- In real-world scenarios, it is often difficult to obtain training data with enough explicit examples of anomalies, which makes it difficult to train models. Work to eliminate or mitigate these deficiencies is an active area of research in the field of detecting anomalies in data. On the other hand, with the development of data collection technologies, the volume of time series increases significantly over time. Automated anomaly detection methods are becoming critically important when processing and analyzing such volumes of information. In the article, to identify anomalies in data, it is proposed to use Z-numbers that take into account the peculiarities of human thinking, which is based on the experience and intuition of experts who are more qualified to identify anomalies in data and reason in the following context, for example, if the value of x is 56, it is suspicious and there is great confidence in this. The idea is that the assessment of anomalies is carried out taking into account the deviation of real data (which are converted into Z-numbers in advance) from possible options presented as Z-numbers and after estimating the distance between them, their degree of normality is ranked, and determined with a certain confidence in the form of finite Z-numbers. The results obtained using this approach can be useful to specialists from various companies who need to solve data-cleaning issues.

关键词： Anomaly detection Time series Z-information Z-number Fuzzy sets

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A Contribution to Theoretical-Experimental Research of Transverse Vibrations of the Axle Spindle Lever of a Commercial Motor Vehicle 10th

A Contribution to Theoretical-Experimental Research of Trans...

引用

International Conference on New Technologies, Development and Application - Advanced Production Processes and Intelligent systems

作者： Demic, Miroslav Fac Engn Sci Sestre Janjic 6 Kragujevac 34000 Serbia

ISBN: (纸本)9783031662676;9783031662683

Vibrations that occur during the operation of commercial motor vehicles lead to fatigue of the users and materials of the aggregates. Therefore, in this paper, an attempt was made to develop a method for their identification. The method is illustrated in the example of the axle spindle lever, and for the two variable frequency analysis, the 2D Fourier transform was used. The illustration of the procedure's applicability was performed on its idealized model, and the conducted research showed that the two-parameter frequency analysis can also be used in generating transverse vibrations in laboratory conditions.

关键词： Commercial motor vehicle axle spindle lever transverse vibrations two-parameter frequency analysis

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Process Optimization in the Healthcare Sector Through the Use of AI-Based ECG Analyzis 21st

Process Optimization in the Healthcare Sector Through the Us...

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21st International Conference on Smart Technologies and Education (STE) on Smart Technologies for a Sustainable Future

作者： Meinhardt, Scott Neumann, Tim Teich, Linus Franke, Daniel Schladitz, Laura Leonhardt, Sven Junghans, Sebastian Univ Appl Sci Zwickau Kornmarkt 1 D-08056 Zwickau Germany Heinrich Braun Hosp Karl Keil Str 35 D-08060 Zwickau Germany

ISBN: (纸本)9783031619045;9783031619052

The e-prescription continues to gain ground in Germany. Since July 1, 2023, the use of the e-prescription has become even more versatile and insured persons are able to redeem the prescription using their electronic health card. The consequences are more convenience for patients and fewer trips to the doctor's office. This eliminates the need formanual signatures, and follow-up prescriptions can be issued without the need for another visit to the doctor's office. This also optimizes and improves the day-to-day work in pharmacies. The e-prescription is just one example of the increasing digitization in healthcare. Artificial intelligence (AI) is improving patient care, particularly in the areas of cancer diagnosis and early detection of heart disease. Digitization can also be understood as a way of optimizing processes. It helps to improve processes in a company (or in this case in the healthcare system or hospital) in such a way that workflows are optimized, quality is increased, and errors are reduced. In the following, we will explain the basics of a process and process management as well as digitalization as a possibility for process improvement. There will always be a link to healthcare and the healthcare industry. Artificial intelligence will play a major role in this context by demonstrating that AI is already being used in healthcare for imaging and patient self-monitoring. In particular, the integrative development of an AI-based ECG analysis will be presented, illustrating the added value of such an innovation in cardiology and how it can concretely improve processes.

关键词： Process Process management Digitalization Process optimization Artificial Intelligence AI Cardiology e-health ECG smart technology

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Smartphones and Wristbands Detect Stress as Good as Intrusive Physiological Devices 1

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11st World Conference on Information systems and Technologies (WorldCIST)

作者： Bello-Orgaz, Gema Menendez, Hector D. Univ Politecn Madrid Dept Sistemas Informat ETSI Sistemas Informat Madrid Spain Kings Coll London Dept Informat London England

ISBN: (数字)9783031456428

ISBN: (纸本)9783031456411;9783031456428

Detecting stress timely is relevant to help people's mental and general health. Multiple researchers explored different aspects of this problem by analysing physiological responses of the sympathetic nervous system (changes in heart rate, breathing rate variability, skin temperature or conductance) or by studying the person's activity levels throughout the day by taking data from their smartphone use. Currently, smart devices can provide relevant information associated with stress depending on their usage. Combined with machine learning systems, it is possible to obtain high accuracy levels in detecting stress, some reaching up to 90% under ideal conditions. This study aims to detect stress at different intrusion levels (low for smartphones and medium or high for devices recording physiological data) to focus on reducing intrusiveness and keeping a reasonable accuracy level. Our stress detection models obtain up to 75% in the wild for low intrusion and 97% for medium or high intrusion levels by using public datasets. Moreover, high intrusion devices do not improve the quality significantly with respect of the medium intrusion ones (between 1 and 3 points). These promising results show that, by using only smartphones and wristbands, we can obtain confident detection, similar to invasive methods, by providing a non-intrusive procedure to help millions of people to detect and deal with stress.

关键词： Stress Detection Mental Health Smartphones Wearable Device Machine Learning Classifiers

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A Data-Driven Cyber Resilience Assessment for Industrial Plants 1

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11st World Conference on Information systems and Technologies (WorldCIST)

作者： Simone, Francesco Cilli, Claudio Di Gravio, Giulio Patriarca, Riccardo Sapienza Univ Rome Dept Mech & Aerosp Engn Rome Italy Sapienza Univ Rome Dept Comp Sci Rome Italy

ISBN: (数字)9783031456428

ISBN: (纸本)9783031456411;9783031456428

Cyber-Physical systems (CPSs) are becoming more integrated into smart industrial assets. CPS however are increasingly exposed to external vulnerabilities, beyond technical failures, i.e., cyber attacks, due to their complex structure that combines cyber, cyber-physical, and physical components. Operationalizing the notion of cyber resilience represents a solution to deal with this family of problems. In this study, a methodology to assess the resilience of CPSs is presented and instantiated on dataset referred to SWaT (SecureWater Treatment) testbed data to show its effectiveness in a particular application. Two metrics are calculated to quantify the resilience of the system under analysis. The obtained results gives suggestions for the resilient design and management of CPSs.

关键词： Resilience Cyber attacks Big data

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A Virtual Reality Escape Room Game for Learning Computer Architecture Concepts 18th

A Virtual Reality Escape Room Game for Learning Computer Arc...

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18th International Conference on Intelligent Autonomous systems (IAS)

作者： Hui, Mark Tan Rong Liu, Siyuan Qiu, Yang Zhu, Gaoxia Fan, Xiuyi Nanyang Technol Univ Singapore Singapore

ISBN: (纸本)9783031449802;9783031449819

The application of virtual Reality (VR) games in education has been explored in recent years with successful outcomes in promoting student engagement and motivation. Escape room, an increasingly popular form of games used for both recreational and educational purposes, has shown to promote creative thinking and support assessment to evaluate students' understanding of a particular subject or skill. In this work, we present a VR escape room game for assisting university level computer science students to learn basic concepts in computer architecture. Situated in a futuristic sci-fi theme, our game challenges students' understanding in (1) binary, decimal, and hexadecimal number representations, (2) memory and register access operations, (3) assembly language, as well as (4) string and instruction representation. Our post-game questionnaires have shown high student immersion as well as positive learning outcomes.

关键词： Virtual reality Computer architecture education Escape room

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