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Prediction of flood in Barak River using hybrid machine learning approaches: a case study
Flooding causes several threats with outcomes which include peril to human and animal life,
damage to property, and adversity to agricultural fields. Therefore, flood prediction is of …
damage to property, and adversity to agricultural fields. Therefore, flood prediction is of …
Artificial Intelligence in Education: application in student performance evaluation.
English Education has gained importance to accelerate the development of countries by
means of personalized education and students' characteristics, family properties, etc., and …
means of personalized education and students' characteristics, family properties, etc., and …
Performance prediction and evaluation in female handball players using machine learning models
Machine learning models are implemented to perform tasks that human beings have
difficulty completing. The analysis and prediction of players' performance of specific athletic …
difficulty completing. The analysis and prediction of players' performance of specific athletic …
Student performance classification using artificial intelligence techniques
N Yılmaz, B Sekeroglu - … Conference on Theory and Application of Soft …, 2019 - Springer
Education has vital and increasing importance almost for all countries in order to accelerate
their development. Well-educated persons provide more benefits to their countries and for …
their development. Well-educated persons provide more benefits to their countries and for …
La Inteligencia Artificial en Educación: aplicación en la evaluación del desempeño del alumno.
La educación ha ganado importancia para acelerar el desarrollo de los países mediante la
educación personalizada, etc., e impulsar su adquisición de conocimiento. Si bien es tarea …
educación personalizada, etc., e impulsar su adquisición de conocimiento. Si bien es tarea …
Adaptive Sliding Mode Control Based on a Radial Neural Model Applied for an Electric Drive with an Elastic Shaft
External disturbances, uncertainties, and nonlinear behavior are problems that are
commonly encountered by control system designers. In order to save on energy and …
commonly encountered by control system designers. In order to save on energy and …
Absenteeism prediction: A comparative study using machine learning models
Solidity of companies or institutions is related to several factors but mostly to absenteeism.
Taking annual leave or pre-determined absent days of personnel may be covered by others …
Taking annual leave or pre-determined absent days of personnel may be covered by others …
Wireless sensor nodes for flood forecasting using artificial neural network
The Pampanga River is considered as the fourth largest river basin in the Philippines. The
lower basin of the river is one of the most frequently affected by flooding such as Masantol …
lower basin of the river is one of the most frequently affected by flooding such as Masantol …
Flight Inspection and Evaluation Method for Microwave Landing System Based on Three-dimensional Inversion Reconstruction
X Luo, X Shi - Journal of **Hua University (Natural Science Edition), 2024 - xhuqk.com
Flight inspection is a necessary technical means to ensure aviation transportation safety. As
an important all-weather precision approach and landing guidance system, Microwave …
an important all-weather precision approach and landing guidance system, Microwave …
Enhancing Human Safety Through Early Detection of Floods and Landslides in Sri Lanka
KP Karunawardhana, JG Samiru… - 2024 9th …, 2024 - ieeexplore.ieee.org
In Sri Lanka, natural disasters particularly floods and landslides pose significant threats to
public safety as well as the economic stability. This research introduces an innovative …
public safety as well as the economic stability. This research introduces an innovative …