the proceedings contain 83 papers. the topics discussed include: Covid-19 detection from CT scan images using deep learning models;enhancing radiation stability and image quality in periodic planar structures: a chara...
ISBN:
(纸本)9798350350180
the proceedings contain 83 papers. the topics discussed include: Covid-19 detection from CT scan images using deep learning models;enhancing radiation stability and image quality in periodic planar structures: a characteristic mode analysis approach for cancer imaging;record linkage approaches in big data: a comprehensive review;converging human and algorithmic biases in the hiring decision-making process;towards a generic data-driven model for optimal health service;exploring machine learning algorithms for myocardial infarction diagnosis;towards maximum efficiency: combining ELM with BA for credit card fraud detection;improved intensity-based image registration via Archimedes optimization algorithm;and high efficiency, intelligent charger for Li-ion batteries in electrical vehicle controlled by application.
Withthe proliferation of connected devices with advanced sensing, computing, and communication capabilities, ubiquitous computingsystems have become prevalent nowadays. they have the potential to revolutionize vario...
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ISBN:
(纸本)9798400702006
Withthe proliferation of connected devices with advanced sensing, computing, and communication capabilities, ubiquitous computingsystems have become prevalent nowadays. they have the potential to revolutionize various industries by enabling new applications and services (e.g., patient monitoring, personalized recommendations, traffic control, home energy management). However, in real-world ubiquitous computingsystems, data collection can be expensive or impossible. Due to the limited quantity and quality of data available, pure data-driven methods may not perform well. A promising approach to overcome these limitations is to utilize physical knowledge, including domain knowledge from experts, heuristics based on experience, and analytic models of physical phenomena. the theme of this workshop is to advance the theoretical understanding, algorithmic development and system implementations of ubiquitous computingsystemsthat integrate physical knowledge with data-driven methods. the workshop will provide an inclusive gathering for researchers and practitioners from various fields and facilitate future collaborations. the workshop welcomes research papers as well as position papers. the overall goal is to grow the community who are dedicated to improving ubiquitous computingsystems by fusing physical knowledge into data-driven methods.
the proceedings contain 73 papers. the topics discussed include: Ecuadorian Kichwa to Spanish automatic translation: an initial approximation based on LSTM neural networks for educational applications;current stress p...
ISBN:
(纸本)9781665412216
the proceedings contain 73 papers. the topics discussed include: Ecuadorian Kichwa to Spanish automatic translation: an initial approximation based on LSTM neural networks for educational applications;current stress phenomenon in solar photo voltaic plant associated to mining process in weak grids;speed control design for cement grinder based on GPC and fuzzy PID;biomedical mechatronic device iTakuna: smart embedded system for electric wheelchair used by paraplegic patients;evaluation and correction of infrared temperature readings inside a neonatal incubator withthe MLX90614 sensor using a temperature controlled black-body emulating a neonatal head;analysis of fuzzy PID controllers with modified smith predictor and generalized predictive controller for a time delay plant;source to source compiler for the automatic parallelization of JavaScript code;computational tool for the evaluation of waveform candidates of beyond 5G and 6G systems;and synthesis of quasi delay insensitive asynchronous state machines from synchronous specifications.
Pattern recognition plays a significant role in the detection of uterine fibroids through various medical imaging modalities such as ultrasound, Magnetic Resonance Imaging (MRI), and computed tomography (CT) scans. Ul...
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the proceedings contain 58 papers. the topics discussed include: deep learning model for IDS In the internet of things;real-time big data analytics perspective on applications, frameworks and challenges;real-time rout...
ISBN:
(纸本)9781665420327
the proceedings contain 58 papers. the topics discussed include: deep learning model for IDS In the internet of things;real-time big data analytics perspective on applications, frameworks and challenges;real-time routing for Internet of things: a survey on techniques and protocols;contagious patient tracking application spotlight: privacy and security rights;predicting QoS for web service recommendations based on reputation and location clustering with collaborative filtering;multiclass model for quality of web service using machine learning and cloud computing;classification personality traits by using pretrained deep learning models;a comparative study of algorithms of software effort estimation for the robotic and communication systems based on improved accuracy;cohesive summary extraction from multi-document based on artificial neural network;and state of art survey for deep learning effects on semantic web performance.
Cloud computing has revolutionized the way data is stored, processed, and accessed. However, it also introduces new security challenges, making the protection of sensitive data a top priority for cloud service provide...
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the proceedings contain 211 papers. the topics discussed include: research on key technologies of large capacity and long distance optical transmission systems;circuit simulation of two-degree-of-freedom unilateral im...
the proceedings contain 211 papers. the topics discussed include: research on key technologies of large capacity and long distance optical transmission systems;circuit simulation of two-degree-of-freedom unilateral impact dynamics system with gap;temperature control circuit design of high-precision laser diode based on type III compensation network;comment on security and improvement of partial blind signature scheme and revocable certificateless signature scheme;the visualization of 3D radiation dose field in virtual environment;distributed diffusion fusion cooperative spectrum sensing based on reinforcement learning;research on industry question answering system based on near neighbor vector search;research on telemetry data compression technology based on inter frame differential adaptive run length encoding;influence of retinal degeneration stages on RGC threshold under epiretinal electrical stimulation: a modeling study;and research on interactive device design of anti-noise pollution based on processing programming language.
the proceedings contain 7 papers. the special focus in this conference is on Engineering Trustworthy Software systems. the topics include: From Logic to Programming;digital Twin Tutorial: the Incubator Case Study...
ISBN:
(纸本)9789819646555
the proceedings contain 7 papers. the special focus in this conference is on Engineering Trustworthy Software systems. the topics include: From Logic to Programming;digital Twin Tutorial: the Incubator Case Study;AI Components for High Integrity, Safety-Critical Human-Cyber-Physical systems: A Challenge for Formal Methods;Testing and Design of Uniform CNF Samplers: A Virtuous Cycle Enabled by Distribution Testing;software Engineering Experiences of an Optimist;Automating Component-Based Embedded Software Construction via Formal Synthesis and LLMs.
the proceedings contain 10 papers. the topics discussed include: S-Cache: function caching for serverless edge computing;an autonomous resource management model towards cloud morphing;latency-aware scheduling for real...
ISBN:
(纸本)9798400700828
the proceedings contain 10 papers. the topics discussed include: S-Cache: function caching for serverless edge computing;an autonomous resource management model towards cloud morphing;latency-aware scheduling for real-time application support in edge computing;an evaluation of service mesh frameworks for edge systems;hot under the hood: an analysis of ambient temperature impact on heterogeneous edge platforms;lotus: serverless in-transit data processing for edge-based pub/sub;how to pipeline frame transfer and server inference in edge-assisted AR to optimize AR task accuracy?;cost-aware neural network splitting and dynamic rescheduling for edge intelligence;ESCEPE: early-exit network section-wise model compression using self-distillation and weight clustering;and an empirical study of resource-stressing faults in edge-computing applications.
the proceedings contain 31 papers. the special focus in this conference is on Soft computing in Data Science. the topics include: Two-Step Estimation for Modeling the60;Earthquake Occurrences in Sumatra by60;Ney...
ISBN:
(纸本)9789811673337
the proceedings contain 31 papers. the special focus in this conference is on Soft computing in Data Science. the topics include: Two-Step Estimation for Modeling the Earthquake Occurrences in Sumatra by Neyman–Scott Cox Point Processes;construction of Optimal Stock Market Portfolios Using Outlier Detection Algorithm;simulating the Upcoming Trend of Malaysia’s Unemployment Rate Using Multiple Linear Regression;time Series Forecasting Using a Hybrid Prophet and Long Short-Term Memory Model;financial Analytics on Malaysia’s Equity Fund Performance and Its Timing Liquidity;An Autoregressive Distributed Lag (ARDL) Analysis of the Relationships Between Employees Provident Fund’s Wealth and Its Determinants;iris Segmentation Based on an Adaptive Initial Contour and Partly-Normalization;Identifying the Important Demographic and Financial Factors Related to the Mortality Rate of COVID-19 with Data Mining Techniques;local Image Analysis of Malaysian Herbs Leaves Using Canny Edge Detection Algorithm;performance Analysis of Hybrid Architectures of Deep Learning for Indonesian Sentiment Analysis;amniotic Fluids Classification Using Combination of Rules-Based and Random Forest Algorithm;a Modified Inverse Gaussian Poisson Regression with an Exposure Variable to Model Infant Mortality;poisson and Logistic Regressions for Inhomogeneous Multivariate Point Processes: A Case Study in the Barro Colorado Island Plot;entropy-Based Fuzzy Weighted Logistic Regression for Classifying Imbalanced Data;quantifying the Impact of Climatic Factors on Dengue Incidence Using Generalized Linear Mixed Model with Spatio-Temporal Bayesian Poisson Random Effects Approach;the Effect of Cancers Treatment in Quality of Life of the Patient: Meta-analysis Approach;hybrid of Time Series Regression, Multivariate Generalized Space-Time Autoregressive, and Machine Learning for Forecasting Air Pollution.
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