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Programming Languages and Software
Currently, there are a large, if not huge, number of high-level languages; however, when it comes to scientific and engineering computing, the choice...
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Compilers
This chapter provides brief descriptions of the widely used compilers for C/C++ and Fortran and gives practical advice on working with them.
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FPGA-Based Hardware Accelerator for Matrix Inversion
Matrix inversion is a computationally expensive operation in many scientific applications. Performing matrix inversion of rank deficient large order...
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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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Prediction of Blood Glucose Levels in Patients with Type 1 Diabetes via LSTM Neural Networks
Diabetes is one of the most prevalent diseases of the 21st century, with more than 500 million people affected. Having tools to estimate blood...
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Improved Herrmann-May’s Attack with Merging Variables and Lower LLL Bound
Using side information to attack RSA is a practical method. In reality, it’s possible to intercept some bits of an unknown divisor p of a known...
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Brain tumor segmentation using extended Weiner and Laplacian lion optimization algorithm with fuzzy weighted k-mean embedding linear discriminant analysis
This paper presents an efficient skull strip** method to improve the decision-making process. Extended Weiner filtering (EWF) is used for removing...
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On the Usage of NLP on CVE Descriptions for Calculating Risk
In order to conduct a risk analysis on an ecosystem the potential threats to its assets must first be identified. The Risk Modelling Tool (RMT) of...
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Minimizing the Cost of Leveraging Influencers in Social Networks: IP and CP Approaches
In this paper, we introduce and study mathematical programming formulations for the Least Cost Directed Perfect Awareness Problem (LDPAP), an NP-hard...
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A secure and privacy-preserving data aggregation and classification model for smart grid
Smart meters are rapidly installing by utility providers to improve the reliability and performance of Smart Grid. Utility providers analyze...
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Forecasting the Temperature of BEV Battery Pack Based on Field Testing Data
Monitoring electric vehicles’ battery situation and indicating the state of health is still challenging. Temperature is one of the critical factors...
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Forecasting COVID19 Reliability of the Countries by Using Non-Homogeneous Poisson Process Models
Reliability is the probability that a system or a product fulfills its intended function without failure over a period of time and it is generally...
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A New Hybrid Cuckoo Quantum-Behavior Particle Swarm Optimization Algorithm and its Application in Muskingum Model
Based on the Cuckoo Search Algorithm (CSA) and the Quantum-Behavior Particle Swarm Optimization (QPSO), this paper propose a hybrid cuckoo...
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Moth flame algorithm-based optimization of a reduced switch multilevel inverter topology suitable for standalone application
The escalating demand for sustainable and environmentally friendly energy sources has driven substantial growth in renewable energy adoption across...
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Overview of Core Technologies of Compilers
Compilation technology is a huge subject, and we cannot fully explain it in a few chapters. However, the difficulty of compilers or compilation...
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General Land Use Cover Datasets for America and Asia
In this chapter we review some examples of general Land Use Cover (LUC) map** at a supra-national level in America and Asia. These datasets provide...
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A systematic review on effective energy utilization management strategies in cloud data centers
Data centers are becoming considerably more significant and energy-intensive due to the exponential growth of cloud computing. Cloud computing allows...
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Generating quality grasp rectangle using Pix2Pix GAN for intelligent robot gras**
Intelligent robot gras** is a very challenging task due to its inherent complexity and non-availability of sufficient labeled data. Since making...
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Brain magnetic resonance image (MRI) segmentation using multimodal optimization
One of the highly focused areas in the medical science community is segmenting tumors from brain magnetic resonance imaging (MRI). The diagnosis of...
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Prediction of On-Road CO2 Emission in Urban Area Using State-of-The-Art Ensemble Machine Learning Model
Transportation emissions, including carbon dioxide (CO2), nitrogen oxides (NOx), carbon monoxide (CO), and particulate matter (PM), are a significant...