http://202.88.229.59:8080/xmlui/handle/123456789/2341 2026-04-14T19:46:34Z http://202.88.229.59:8080/xmlui/handle/123456789/5721 A SYSTEMATIC ANALYSIS OF DIFFERENT MACHINE LEARNING & DEEP LEARNING TECHNIQUES USED FOR PREDICTING CYCLONES Asst.Prof.Johnsymol Joy Cyclones, with their catastrophic potential, pose enormous hazards to coastline communities around the world. Promising outcomes have been observed in the prediction of cyclone behavior through the incorporation of machine-learning techniques in meteorological research in recent years. This research paper presents a systematic analysis of various machine learning methodologies employed for cyclone prediction. This research deals with the collection and pre-processing of extensive meteorological data, spanning historical cyclone occurrences and associated atmospheric conditions. This research paper conducts a comprehensive assessment of different ML methods for cyclone prediction. The main goal is to assess how well these methods work for predicting important cyclone characteristics including intensity, track, and landfall locations. The objective is to shed light on how various algorithms—including SVM, decision trees, neural networks, etc.—perform. 2024-04-01T00:00:00Z http://202.88.229.59:8080/xmlui/handle/123456789/2573 Overview of Different Data Clustering Algorithms for Static and Dynamic Data Sets Asst.Prof.Johnsymol Joy Data mining is the process of extracting meaningful information from a large set of data. Data clustering is one of the major techniques used in data mining. These techniques will group related data in to identical groups. Data clustering is an unsupervised data analysis and data mining technique; it generates meaningful views from an inherent structure of data. Hundreds of clustering algorithms have been developed by researchers from a number of different scientific disciplines. Data may be static or dynamic. This paper focussed on different clustering algorithms for static and dynamic datasets. 2018-03-01T00:00:00Z http://202.88.229.59:8080/xmlui/handle/123456789/2572 Review On Different Types of Drag and Drop Mobile App Development Platforms Asst.Prof.Johnsymol Joy A mobile app is a software application designed for use on small wireless devices such as smart phones and tablets rather than desktop or laptop computers. Nowadays thousands of mobile apps are published to the Google Play store or Apple Store. Even a person who has no knowledge on programming languages can create mobile apps, with the help of various mobile app development platforms. Lots of such mobile app development platforms are available today. Some of those are used for creating native apps and some for creating Hybrid apps. Drag and Drop App Builders give non-developer users a solution to build do-it-yourself applications. Such products include features exactly same as design products like visual drag-and-drop tools to make apps. This paper focused on reviewing and familiarizing some efficient drag and drop mobile app builder platforms. 2018-11-01T00:00:00Z