Titlebook: Intelligent Human Computer Interaction; 11th International C Uma Shanker Tiwary,Santanu Chaudhury Conference proceedings 2020 Springer Natu

linguistics

固执点好

Wavelet Transform Selection Method for Biological Signal Treatmentransmitted. The proposed algorithm aims for lossless compression of the signal by applying Wavelet Packet Transform to keep errors below the unit, with compression rates over 20:1 and with conserved energy in reconstruction as comparison parameter. For algorithm validation, the signal files provided by PhysioBank DataBase are used.

FLAIL

Conference proceedings 2020d in the following topics: EEG and other biological signal based interactions; natural language, speech and dialogue processing; vision based interactions; assistive living and rehabilitation; and applications of HCI. .

embolus

exhibit

Inculcate

强有力

Detection of Hate and Offensive Speech in Textitectures. We conducted extensive experiments on a benchmark 25K Twitter dataset with traditional machine learning algorithms as well as using deep learning architectures. The results obtained by us using deep learning architectures are better than state-of-the-art methods used for hate and offensive speech detection.

按等级

Deep Learning for Hindi Text Classification: A Comparisonus. In this work, we used translated versions of English data-sets to evaluate models based on CNN, LSTM and Attention. Multilingual pre-trained sentence embeddings based on BERT and LASER are also compared to evaluate their effectiveness for the Hindi language. The paper also serves as a tutorial for popular text classification techniques.

abreast

innate

Classification of Motor Imagery EEG Signal for Navigation of Brain Controlled Dronesginations can be used for generation of control signals for drone. Different machine learning and deep learning approaches have been developed in the state of the art literature for the classification of motor imagery EEG signal. There is still a need for developing a suitable model that can classif