Titlebook: Advances in Computational Collective Intelligence; 12th International C Marcin Hernes,Krystian Wojtkiewicz,Edward Szczerbi Conference proce

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Achim Lang,Thomas Malang,Volker Schneidernetic make-up and attention to their preferences, beliefs, attitudes, knowledge and social context. Deep learning techniques hold important roles and obtain achievements in bioinformatics tasks. Metagenomic data analysis is very important to develop and evaluate methods and tools applying to Persona

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Business and Sustainability: An Introductionor example, such circumstances appear typically in genetic data sets. In such cases, feature clustering can become a useful tool in classification or prognosis tasks. Feature clustering can be performed through the minimization of the convex and piecewise linear (.) criterion functions.

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Business and Sustainability: An Introductionc optimization based on three steps as follows. First step, we used parameters c. to transform any sequence data into the non-negative sequence data. The second, we used moving average operation method on the new sequence data to smooth the sequence data aim to satisfy the quasi-exponential conditio

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Introduction: Business and EMU,n which malware binaries are converted into images (i.e. malware images) prior to feeding machine learning models, i.e. .-nearest neighbour (.-NN), Naïve Bayes (NB), Support Vector Machine (SVM) or Convolution Neural Networks (CNN). This approach relies on image texture to classify a malware instead

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https://doi.org/10.1057/9780230250987(e.g., object detection, semantic segmentation, image classification). Then this paper focuses on a useful attention module (AM) for feed-forward CNNs. Firstly, feed the feature map after a block in the backbone network into the attention module, split into two separate dimensions, channel and spati

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https://doi.org/10.1057/9780230250987e, and warning systems such as eye tracking system, eye disease detection, gaze detection, eye blink, and drowsiness detection system. There have been many studies to detect eyes from applying traditional methods to using modern methods based on machine learning and deep learning. This network is de