Siti Hajar Othman

TL;DR: A unified view of DM is created in the form of a metamodel and a representational layer is presented to unify and share knowledge as well as combine and match different DM activities according to different disaster situations.

TL;DR: This paper presents a Disaster Management Metamodel that can serve as a representational layer of DM expertise that leads to better knowledge sharing and facilitates combining and matching different DM activities to best manage the disaster on hand.

TL;DR: This research study learns how to create model prediction bitcoin stock market prediction using LSTM, L STM (Long Short Term Memory) is another type of module provided for RNN later developed and popularized by many researchers, like RNN, theLSTM also consists of modules with recurrent consistency.

TL;DR: This paper proposes common database forensic investigation processes using a design science research approach that allows the reconciliation of the concepts and terminologies of all common database forensics investigation processes and facilitates the sharing of knowledge on database Forensic investigation among domain newcomers, users, and practitioners.

TL;DR: This work has analysed 60 models of DBF in an attempt to uncover how numerous DBF activities are really public even when the actions vary, and generates a unified abstract view ofDBF in the form of a metamodel.