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ARTIFICIAL NEURAL NETWORK (ANN) FOR FLOOD FORECASTING AT KASOL IN THE RIVER SATLUJ, INDIA
Flood Causes Considerable Damage To Human Lives And Property Almost Every Year. Therefore, Flood Forecasting & Warning Has Been Recognized As The Most Important, Reliable And Cost Effective Non-structural Measures For Flood Mitigation. One...
ENVIRONMENT CHANGE PREDICTION TO ADAPT CLIMATE-SMART AGRICULTURE
This Year The Increased Climate Unpredictability Is Challenging To Agriculturalists. It Will Assume To Influence On Yield And Livestock Productivity. So New Methods Are Essential To Farmers With Modernized And Important Statistics So As To...
INTRUSION DETECTION USING ARTIFICIAL AND HIERARCHICAL NEURAL NETWORKS
Intrusion Detection Systems (IDSs) Provide An Important Layer Of Security For Computer Systems And Networks, And Are Becoming More And More Necessary As Reliance On Internet Services Increases And Systems With Sensitive Data Are More Common...