Medbot: Conversational artificial intelligence powered chatbot for delivering tele-health after covid-19

U Bharti, D Bajaj, H Batra, S Lalit, S Lalit… - 2020 5th …, 2020 - ieeexplore.ieee.org
Telemedicine can be used by medical practitioners to connect with their patients during the
recent Coronavirus outbreak, whilst attempting to reduce COVID-19 transmission among …

[HTML][HTML] Analytics of machine learning-based algorithms for text classification

SU Hassan, J Ahamed, K Ahmad - Sustainable Operations and Computers, 2022 - Elsevier
Text classification is the most vital area in natural language processing in which text data is
automatically sorted into a predefined set of classes. The application of text classification is …

[PDF][PDF] Capsule network algorithm for performance optimization of text classification

JS Manoharan - Journal of Soft Computing Paradigm (JSCP), 2021 - scholar.archive.org
In regions of visual inference, optimized performance is demonstrated by capsule networks
on structured data. Classification of hierarchical multi-label text is performed with a simple …

[PDF][PDF] Expedient information retrieval system for web pages using the natural language modeling

PP Joby - Journal of Artificial Intelligence, 2020 - scholar.archive.org
Retrieving of information from the huge set of data flowing due to the day to day
development in the technologies has become more popular as it assists in searching for the …

[PDF][PDF] Capsule network on font style classification

T Vijayakumar, R Vinothkanna - Journal of Artificial Intelligence, 2020 - researchgate.net
Verification of font style followed in a file is a difficult task to classify. An artificial intelligence
based algorithm network can effectively perform this task in reduced time. Capsule network …

[PDF][PDF] Naïve Bayes and entropy based analysis and classification of humans and chat bots

S Smys, W Haoxiang - Journal of ISMAC, 2021 - scholar.archive.org
Internet users are largely threatened by abuse and manipulation of several automated chat
service programs called as chat bots. Malware and spam is distributed by the popular chat …

Fake news detection and analysis using multitask learning with BiLSTM CapsNet model

S Sridhar, S Sanagavarapu - 2021 11th International …, 2021 - ieeexplore.ieee.org
In today's world, information is of paramount importance in any field and controls our lives.
With increasing number of people taking to social media and websites hosted on the internet …

Feature fusion and latent feature learning guided brain tumor segmentation and missing modality recovery network

T Zhou - Pattern Recognition, 2023 - Elsevier
Accurate brain tumor segmentation is an essential step for clinical diagnosis and surgical
treatment. Multimodal brain tumor segmentation strongly relies on an effective fusion method …

Tissue segmentation for traumatic brain injury based on multimodal MRI image fusion-semantic segmentation

Y Xu, Z Chen, X Wang, S Jiang, F Wang… - … Signal Processing and …, 2025 - Elsevier
Accurate segmentation of traumatic brain injury (TBI) has great significance for physicians to
diagnose and assess a patient's condition. The utilization of multimodal information plays a …

Recognizing edge-based diseases of vocal cords by using convolutional neural networks

CK Tsung, YA Tso - IEEE Access, 2022 - ieeexplore.ieee.org
During clinical consultations and case training, doctors analyze numerous images and
sounds. A high-pressure consultation environment can increase the probability of a doctor …