Titlebook: Inventive Communication and Computational Technologies; Proceedings of ICICC G. Ranganathan,Xavier Fernando,Fuqian Shi Conference proceedin

Cardiac-Output

An Exploration on Feature Extraction and Classification Techniques for Dysphonic Speech Disorder in the way to understand how the voice features are helpful in classification and prediction of Parkinson’s disease among several motor and non-motor symptoms used for diagnosis. This article focuses on dysphonia, a voice disorder that leads to alteration in voice quality of the people. Since there ar

AGATE

Intelligent Recommender System Based on Deep Learning for Recognition of COVID-19 from Lungs Radiogte the roll out of infection within the society. Polymerase chain reaction is an ordinary medical technique used for infection examination. There is a need of exploring novel tools for examinations due to growing quantity of fake infection outcome. In the COVID-19 infection staging point, X-rays of

内向者

dyspareunia

Machine Learning and Deep Learning Approaches for Intrusion Detection: A Comparative Study,Machine learning has become a vibrant technology for cybersecurity. There exists several machine learning algorithms to detect intrusion. Most classifiers are well suited to detect the attacks. However, improving accuracy and detecting unknown attacks in existing IDSs is a great challenge. Therefore

Horizon

Medicaid

chandel

Implementation of Rule Based Testing for Digital Circuits Using Inductive Logic Programming,at it defeats the llustrative impediments of property estimation learning frameworks. Such frameworks utilize a table based portrayals where the occurrences compare to lines in the table, the ascribes to sections, and for each case, a solitary worth is doled out to every one of the credits. The seco

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Design of a High-Speed Binary Counter Using a Stacking Circuit,ther merged and then converted into binary counts that bestow a binary stacking counter. This new design of binary stacking counter circuit does not have XOR gates or multiplexers in its critical path, which would turn out this circuit into a faster and efficient one. This innovative circuit is fast

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Feature-Level Fusion of Multimodal Biometric for Individual Identification by Training a Deep Neuraform, the proposed system used fingerprint and face modalities to check an individual’s identity. The objective of this research work is to give complete recognition accuracy without performing any pre-processing on the acquired images of face and fingerprint. To obtain this, the features are extrac

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Design of Multistage Counters Using Linear Feedback Shift Register,n be considered as the best option for such applications, where the area can be considerably reduced. Compared to a conventional binary counter, these counters enhance area and performance. In existing literature, only many-to-one LFSR structure was used. However, if LFSR counter is used for first s