The Tibetan language model (TLM) is the key to Tibetan natural language processing.In this paper, we first observe that, different from widely used languages, Tibetan contains many morphological verbs that rarely appear in natural sentences but play a key role in accurate text prediction.This property is usually ignored by existing methods and make
Abstract Digitalization of health care practices is substantially manifesting itself as an effective tool to diagnose and rectify complex cardiovascular Outdoor abnormalities.For cardiovascular abnormalities, precise non-invasive imaging interventions are being used to develop patient specific diagnosis and surgical planning.Concurrently, pre surgi
Oxidative stress arises when the generation of reactive oxygen species or reactive nitrogen species Audio/Video Kits overwhelms antioxidant systems.Developing kidneys are vulnerable to oxidative stress, resulting in adult kidney disease.Oxidative stress in fetuses and neonates can be evaluated by assessing various biomarkers.Using animal models, ou
The present study aims to compare and analyze the performance of two tokenizers, Mecab-Ko and SentencePiece, in the context of natural language Stereo Earphones processing for sentiment analysis.The study adopts a comparative approach, employing five algorithms - Naive Bayes (NB), k-Nearest Neighbor (kNN), Support Vector Machine (SVM), Artificial N
In this article, optimal homotopy-analysis method is used to obtain approximate analytic solution of the time-fractional diffusion equation with a Tote Bags given initial condition.The fractional derivatives are considered in the Caputo sense.Unlike usual Homotopy analysis method, this method contains at the most three convergence control parameter