This section presents a deep discussion of the developed SA method, which is based on the OTCNLSTM model. The step-by-step process of the analysis is outlined, and the key components of the model, including the CLSTM architecture, sequential…
Category: 7. Maths
-

Multi-scale effects of runoff time series and its improved prediction methods
Definition of multi-scale effects in runoff time series
From the studies of Rahmani, it is known that long-term hydrological time series usually exhibit core features, such as long-term trends, periodic fluctuations, random noise, autocorrelation,…
Continue Reading
-

The evolutionary mechanism of information negentropy spurred by emergencies
Analysis of model equilibrium points and numerical solutions
Let
Continue Reading
-

Examining the asymmetric effects of internationalization factors on student satisfaction
Knight, J. Internationalization remodeled: Definition, approaches, and rationales. J. Stud. Int. Educ. 8, 5–31 (2004).
Gopal, A. Internationalization of higher education: Preparing faculty to…
Continue Reading
-

Effect of various heat treatment methods and optimization of their parameters on mechanical properties of AISI 4140 steel
Mechanical characterization results
The effect of heat treatment (annealing, normalizing and oil quenching) on the mechanical properties (hardness and impact energy) of the heat treated samples for AISI 4140 are as shown in Table 3. The results,…
Continue Reading
-

A lightweight small object detection model for UAV images based on deep semantic integration
Datasets
As shown in Table 1, in conventional datasets, large objects dominate, while very small objects make up only a small proportion. However, in drone-captured images, very small and small objects dominate, with large objects occupying a…
Continue Reading
-

Artificial magnetic conductor backed dual-mode sectoral cylindrical DRA for off-body biomedical telemetry
Biomedical telemetry is an emerging interdisciplinary domain where body vitals are transmitted wirelessly for detailed observation and analysis1. Significant advancements in semiconductor technology have led to numerous breakthroughs, providing…
Continue Reading
-

Critical factors analysis of student-athletes learning training contradiction via AHP
Participant characteristics
The demographic profile of the 14 Delphi experts is presented in Table 1. Key characteristics reveal a strategically sampled cohort:
Table 1 Expert panel profile for the learning-training contradiction analysis. -
…
Continue Reading
-

Multimodal feature distinguishing and deep learning approach to detect lung disease from MRI images
The design goal of the MFDM is to improve lung disease detection accuracy through feature differentiation. The extractable and non-extractable features are exploited based on homogeneity and heterogeneous nature for training. The detected…
Continue Reading
-

Period-doubling cascade to chaos and optimal quadratic harvesting in a prey–predator–scavenger model using Crowley–Martin functional response
This section is completely devoted to develop a cost optimization problem related to harvesting. As, we are aware that harvesting needs man power and associated costs for a longer time period. In order to make a balance in implementing the…
Continue Reading
