Titlebook: Advances in Artificial-Business Analytics and Quantum Machine Learning; Select Proceedings o K. C. Santosh,Sandeep Kumar Sood,Charu Virmani

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https://doi.org/10.1007/3-540-34059-9in computer vision. The use of analyzing lip movements to produce and recognize text or speech is one such field of study. This method can be especially helpful when audio material is either missing or of poor quality. This paper suggests a Convolutional Neural Network (CNN) based technique for auto

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Grundlagen der klassischen TRIZThese vulnerabilities give the chance for unauthorized access to the system, which may lead to financial, energy, military, healthcare, and other essential infrastructure system losses. The majority of approaches for scoring software vulnerabilities rely solely on the vulnerability description using

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Grundlagen der klassischen TRIZtify hate speech comments present on Twitter using language processing methods. In this work, we suggest a cutting-edge method for effectively identify hate speech in tweets that combines linguistic elements and machine learning techniques. Using a sizable dataset of annotated tweets, we test our mo

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https://doi.org/10.1007/3-540-34059-9 with Breast Cancer and more than 690 thousand deaths globally. Both researchers and doctors are facing the challenges of fighting cancer. This research paper aims to use different Supervised machine-learning techniques namely KNN, SVM (Support Vector Machine) and Logistic Regression for breast canc

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Vom Bestehenden zum Entstehendenonals which most of the farmers are not able to get therefore due to the lack of recognition and prediction they often are not able to produce a good crop yield output. This paper automated the process of recognition and prediction of diseases in plants. Hence, this paper proposed a deep learning mo