Algorithm

the more robust the approach to detect communities, hence many optimization techniques applied to optimize the modularity as an objective such as greedy optimization[5] , extremal optimiza- tion [10] , simulated annealing [11], and genetic algorithms (GA) [12]. However, one aspect of such networks has been ignored so far: real networks are often multidimensional, i.e. two nodes may connect through many different types of connections, reflecting different types of…

its actions and as a result, it is able to improve its performance on future tasks. Different subcategories of machine learning algorithms are defined according to the way the agent receives its feedback. The three main subcategories are: supervised learning, unsupervised learning and reinforcement learning [30], however, this distinction is not absolute, as some algorithms have characteristics from more than one of these…

second grade and developing a more in-depth understanding of these concepts, and then moving the third and fourth grade to perform using the standard algorithm. It talks about the beauty of beginning by discovering and building fluency with these mathematical concepts in the early years in order to fluently transition into using the standard algorithm. 6. How can we help 1st and 2nd grade students understand number and operations? We need to assist these students in understanding number and…

The main issue with FOS was coming up with an algorithm that determines the important deliverables of thermocouple systems by using time history data generated from a first-order system. Deliverables include: our MATLAB coded algorithm -which outputs the parameters yL, yH, ts, and � - an executive MATLAB file -which outputs SEE and standard deviation values- and a regression plot which compares the prices of FOS models to �. Determining these four parameters within 20.0% of the calibrated data…

during public key cryptography actions. Depending on the security roles granted by the authorized use of the private key, a compromised private key can be used to abuse network resources, steal valuable data, and destroy reputations. Cryptographic algorithms can implement encryption and decryption of information for data confidentiality, message authentication codes for data integrity and entity authentication, as well as digital signatures, and…

In this chapter, the algorithm of the physical biofeedback action of the wearable adaptive biofeedback (WAB) framework will be discussed as displayed in Figure ef{fig:chapter5:overview}. Section 5.2 describes the compression therapy (CT) that has been chosen as the controllable parameter by the feedback action module with the reason why it has been chosen. Section 5.3 presents the background theories of control algorithms that can be used for the feedback action controller. Section 5.4…

impact losing online privacy has on society. Using multiple examples of extracting personal data, Carr informs the reader of how easy it can be to overstep internet boundaries in the modern world. Online companies or advertisers use computerized algorithms for profit, predicting who we are, what we are doing, and where we are going. Behind fervent research and analysis, Carr forms a strong opposition towards the lack of online privacy and the dangers it poses for society. Successfully convincing…

received important transcatheter interventional procedure. In addition, they found that the algorithm is inadequate to detect PA stenosis as well as to assess the presence of significant SPCs. Even though adding magnetic resonance imaging to their algorithm would substantially improve its ability to detect PA stenosis and SPCs collaterals, this was not tested in their work and the validity of their algorithm has not been verified by different…

Social media platforms have become the norm in the society today and are used by billions of people around the world. Social media platforms such as Facebook, Twitter and Instagram have transformed the social, political and economic aspects of life. Social media platforms allow users to share their photos and videos as in the case where Steve Stephens shared videos on Facebook of his intention to murder somebody and even ended up sharing a video where he actually murdered Robert Godwin Sr. This…

are two modules: feature extraction process and classification. First, the shape features are extracted using techniques like Scale invariant feature transform (SIFT), Harris corner detection and Zernike moments. Second, the supervised learning algorithms like Deep neural network (DNN) and Extreme learning machine (ELM) are used to classify the brain tumor images. Experiments are performed using 1000 brain tumor images. In the performance evaluation, sensitivity, specificity, accuracy, error…