Anand Shankar
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View article: Empowering Precision Forecasting: Self-Supervised LSTM for Hourly Pressure and Temperature Prediction
Empowering Precision Forecasting: Self-Supervised LSTM for Hourly Pressure and Temperature Prediction Open
The most important parts of any flight are landing and takeoff, and an aircraft's takeoff configuration must balance the regulated takeoff weight, runway length, and weather conditions to ensure a safe departure and arrival. In addition to…
View article: Dynamic Impact-Based Heavy Rainfall Warning with Multi-classification Machine Learning Approaches
Dynamic Impact-Based Heavy Rainfall Warning with Multi-classification Machine Learning Approaches Open
The majority of flood assessment and warning systems primarily focus on the occurrence of floods caused by river overflow, taking into account factors such as intense precipitation. Improving flood resilience, on the other hand, requires a…
View article: Machine Learning approach in the prediction of Fog: An Early Warning System.
Machine Learning approach in the prediction of Fog: An Early Warning System. Open
The aviation sector is extremely vulnerable to fog. Thus, accurate fog predictions are essential foraviation sector efficiency, particularly airport management and flight scheduling. Even with numerical weather predictionmodels and guiding…
View article: Prediction of Low-Visibility Events by Integrating the Potential of Persistence and Machine Learning for Aviation Services
Prediction of Low-Visibility Events by Integrating the Potential of Persistence and Machine Learning for Aviation Services Open
Fog typically results in reduced atmospheric visibility. Severely limited visibility has a significant impact on transportation, particularly the operations of aircraft. Precise forecasts of low visibility are essential for aviation servic…
View article: Analysis of a Case of a Classical Supercell Storm in Bihar, India: Observation and Tracking
Analysis of a Case of a Classical Supercell Storm in Bihar, India: Observation and Tracking Open
In this study, we use the S-band Doppler Weather Radar to analyze the weather of a prolonged classical supercell storm that occurred on April 7, 2018, across the Indian state of Bihar. In the early morning hours of April 7th, 2018, a super…
View article: The Impacts of Low Visibility on the Aviation Services of Patna Airport During the Period from 2016 to 2023
The Impacts of Low Visibility on the Aviation Services of Patna Airport During the Period from 2016 to 2023 Open
Airport efficiency depends on fast reactions to circum-stances. Local weather conditions may have an impact on airport operations, which may affect the network. Local weather events and airport operations may affect the network. Low visibi…
View article: Early warning of low visibility using the ensembling of machine learning approaches for aviation services at Jay Prakash Narayan International (JPNI) Airport Patna
Early warning of low visibility using the ensembling of machine learning approaches for aviation services at Jay Prakash Narayan International (JPNI) Airport Patna Open
Extremely low visibility affects aviation services. Aviation services need accurate fog and low-visibility predictions for airport operations. Fog and low-visibility forecasting are difficult even with modern numerical weather prediction m…
View article: To Find Incidence of Metabolic Syndrome in Patients with Gallstones Admitted in Surgery Department
To Find Incidence of Metabolic Syndrome in Patients with Gallstones Admitted in Surgery Department Open
Background: Gallstone disease (GD) is a common condition worldwide.Gallstone disease (GSD) is a chronic disease that consumes a lot of economic and medical resources.Because of its high prevalence and elevated health costs, it is an import…