Deep learning weather forecasting techniques: literature survey
AM Abdalla, IH Ghaith… - … International conference on …, 2021 - ieeexplore.ieee.org
Different deep learning architectures have been developed to accommodate the non-
linearity of time series datasets in the weather forecasting domain. This paper surveys the …
linearity of time series datasets in the weather forecasting domain. This paper surveys the …
Determination of Trace Organic Contaminant Concentration via Machine Classification of Surface-Enhanced Raman Spectra
Surface-enhanced Raman spectroscopy (SERS) has been well explored as a highly
effective characterization technique that is capable of chemical pollutant detection and …
effective characterization technique that is capable of chemical pollutant detection and …
[PDF][PDF] Electrical load forecasting using adaptive neuro-fuzzy inference system
Electrical load forecasting is well-known as one of the most important challenges in the
management of electrical supply and demand and has been studied extensively. Electrical …
management of electrical supply and demand and has been studied extensively. Electrical …
Explainable machine learning for revealing causes of citrus fruit cracking on a regional scale
Fruit cracking is a preharvest physiological rind disorder in citrus, sometimes causing
considerable yield loss. In recent years, reports from Israel and other countries suggest that …
considerable yield loss. In recent years, reports from Israel and other countries suggest that …
Lightning severity classification technique using Very Low Frequency signal feature extraction
High intensity lightning strike can lead to Very Low Frequency (VLF) signal reception. The
lack of VLF signal feature characterisation creates the need for commercial lightning dataset …
lack of VLF signal feature characterisation creates the need for commercial lightning dataset …
[PDF][PDF] Cognitive Computational Approaches for Weather Forecasting: An Overview and Progress
From the beginning human always willing to predict the things accurately so that he can be
ready for the consequences of things in advance. Prediction of weather is one of the few …
ready for the consequences of things in advance. Prediction of weather is one of the few …
Neural event prediction for clinical event time-series
JM Lee - 2022 - search.proquest.com
Massive clinical event time-series data collected in Electronic Health Records (EHR) offer
great potential for improving patient care as they contain in-depth information about patient …
great potential for improving patient care as they contain in-depth information about patient …
High-intensity lightning recognition system using Very Low Frequency signal features
Commercial lightning detection networks offer detailed lightning stroke data upon
subscription. Alternatively, the lightning monitoring system can be deployed at lower cost …
subscription. Alternatively, the lightning monitoring system can be deployed at lower cost …
Lake Chini water level prediction model using classification techniques
LZ Hin, Z Othman - Computational Science and Technology: 6th ICCST …, 2020 - Springer
Monsoon seasons in Malaysia bring uneven distribution of rainfall and eventually affect the
water level at Lake Chini as flood and drought disturb the population and distribution of …
water level at Lake Chini as flood and drought disturb the population and distribution of …
Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, 43600 UKM Bangi, Selangor, Malaysia. zeehinlim@ outlook. com, zalinda@ ukm …
LZ Hin, Z Othman - … Science and Technology: 6th ICCST 2019 …, 2019 - books.google.com
Monsoon seasons in Malaysia bring uneven distribution of rainfall and eventually affect the
water level at Lake Chini as flood and drought disturb the population and distribution of …
water level at Lake Chini as flood and drought disturb the population and distribution of …