Scales Flooding is a recurrent and devastating issue in Bangladesh, largely due to its geographical and climatic conditions.This study examined the performance of four deep learning architectures Feed-forward Neural Network (FNN), Recurrent Neural Network (RNN), Gated Recurrent Unit (GRU), and Long Short-Term Memory (LSTM) in predicting floods in B
Objective: To compare in vivo orthodontic mini-implants (MI) of smooth (machined) and rough (acid etched) surfaces, assessing primary and secondary stability.Methods:Thirty-six (36) MI were inserted in the mandibles of six (6) dogs.Each animal received six (6) MI.In the right hemiarch, three (3) MI without surface treatment (smooth) were inserted,
[Introduction] In this paper, the impact of Board Game natural gas system on the short-term scheduling with high penetration of renewable energy is illustrated and analyzed.[Method] The natural gas infrastructure constraints were integrated into the security-constrained unit commitment model, which minimized the expected operation cost while consid