Mathematics and Computer Science: Research Updates Vol. 12

This book covers key areas of Mathematical and Computer Science. The contributions by the authors include Integral calculus, mathematics education; contextualised pedagogy; secondary education; Democratic Republic of the Congo; didactic transposition; competency-based approach; mathematical thinking, Lipschitz functions; Product summability; Fourier series; Harmonic analysis; Approximation theory, Random-access memory; pointers; memory addresses; stack memory; heap memory; cache hierarchy, microprocessor, satellite communication; industrial internet of things; wireless sensor networks; edge-cloud orchestration; smart city, edge-cloud orchestration, IoT deployment, bidirectional hop, TCP/IP datagram access, Schizophrenia Detection, EEG Signal, Attention Mechanism, electroencephalography, EEGNet, deep learning, neural networks, Long Short-Term Memory, Graph neural networks, Bidirectional Long Short-Term Memory, Independent Component Analysis, Bandpass Filtering, convolutional neural network, artificial intelligence, student orientation, academic performance, collaborative filtering, recommendation system, student-candidate orientation, algorithm, machine learning, cosine similarity, prediction, academic guidance, survival model, haemodialysis patients, binary logistic regression, parametric survival models, chronic kidney disease, end-stage kidney disease, machine learning algorithms, intrusion detection systems,  network intrusion, convolutional neural networks, recurrent neural networks, naive bayes algorithm, denial-of-service. This book contains various materials suitable for students, researchers and academicians in the field of Mathematical and Computer Science.