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Calculation of Fresnel integrals of real and complex arguments up to 28 significant digits
We present numerical algorithms for efficient and highly accurate computations of Fresnel’s sine and cosine integrals S ( z ) and C ( z ) for real ( z = x )...
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Early detection of foot ulceration in type II diabetic patient using registration method in infrared images and descriptive comparison with deep learning methods
In today’s scenario, Diabetes Mellitus (DM) is a major medical issue that comes with numerous complications. It is the most imperative disease...
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Masked Implementation of PIPO Block Cipher on 8-bit AVR Microcontrollers
PIPO is a lightweight block cipher and shows better performance than other block cipher algorithms on low-end microcontrollers (e.g. 8-bit AVR). In...
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Improving generalization of image recognition with multi-branch generation network and contrastive learning
Aiming at the phenomenon that the recognition performance of the Image Recognition model trained by the source domain dataset decreases significantly...
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An Accurate and Preservative Quenching Data Stream Simulation Method
Quenching has been an extremely important natural phenomenon observed in many biomedical and multiphysical procedures, such as a rapid cancer cell...
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How Large Corpora Sizes Influence the Distribution of Low Frequency Text n-grams
The prediction of the numbers of distinct word n-grams and their frequency distributions in text corpora is important in domains like information...
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Novelty in 2D CartPole Domain
In this chapter, we apply the constructs defined in Chapter 1 to the relatively simple domain of 2D CartPole. We consider different versions of...
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Virtual Sensor-Based Fault Detection and Diagnosis Framework for District Heating Systems: A Top-Down Approach for Quick Fault Localisation
For district heating systems (DHS) to operate cost-effectively, avoid disturbances of loads, and increase overall energy efficiency, faults in DHSs...
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Modeling of the Human Cognition for the Metaverse-Oriented Design System Development
Metaverse can fully satisfy users’ design scenarios, meeting their emotional and functional imaginations without any physical constraints, and its...
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From Classical Connectionist Models to Probabilistic/Generalised Regression Neural Networks (PNNs/GRNNs)
This chapter begins by briefly summarising some of the well-known classical connectionist/artificial neural network models such as multi-layered...
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Control of Electrical and Calcium Alternans in a One-Dimensional Cardiac Cable
Cardiac alternans is a beat-to-beat alternation in the electrical properties of the heart, such as membrane potential and intracellular calcium (Ca)...
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Long-Term Incentive Mechanism for Mobile Crowdsensing
In this chapter, we propose an incentive mechanism for crowdsensing under the continuous and time-varying scenario using a three-stage Stackelberg...
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Malleable Techniques and Resource Scheduling to Improve Energy Efficiency in Parallel Applications
The high energy consumption of computing platforms has become one of the major problems in high-performance computing (HPC). Computer energy...
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Szenengraphen
In diesem Kapitel befassen wir uns mit Szenengraphen, einer grundlegenden Datenstruktur, die in der Computeranimation verwendet wird. Sie spielt eine...
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A Hybrid Biased-Randomized Heuristic for a Home Care Problem with Team Scheme Selection
The increasing demand for home care services imposes effective human resource management. The problem concerns the creation of teams of one or two...
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An Integrative Architecture Language Approach
This chapter is on one hand a survey on /Na 90/ and newer results. On the other, it summarizes the integrative nature of the approach to architecture...
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Self-adaptive CMSA
While the standard CMSA algorithm has proven its utility across a range of different combinatorial optimization problems, certain applications have...
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Explainability, Quantified: Benchmarking XAI Techniques
Modern Machine Learning (ML) has significantly advanced various fields; yet, the challenge of understanding complex models, often referred to as the...
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Dynamic Graph Learning for Feature Projection
High-dimensional features have gained widespread usage in various research fields such as multimedia computing, data mining, pattern recognition, and...
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Fuzzy Sets
In this chapter we have collected together the basic ideas from fuzzy sets and fuzzy functions needed for the book. Any reader familiar with fuzzy...