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INTERNET OF THINGS (IOT)#1

A network of interconnected devices that communicate and exchange data, enabling smart applications in various fields, including disaster management.

DATA ANALYTICS#2

The process of examining data sets to draw conclusions and insights, essential for predicting flood risks and enhancing decision-making.

FLOOD PREDICTION#3

The use of data and models to forecast potential flooding events, helping communities prepare and respond effectively.

SMART SYSTEMS#4

Technological solutions that utilize IoT and data analytics to automate processes and improve efficiency in various applications.

PROTOTYPE#5

An early model or version of a system used to test concepts and functionalities before full-scale implementation.

SYSTEM ARCHITECTURE#6

The conceptual model that defines the structure and behavior of a system, outlining components and their interactions.

REAL-TIME DATA PROCESSING#7

The ability to process data as it is generated, crucial for timely flood risk assessment and response.

USER INTERFACE (UI)#8

The space where user interactions occur, designed to facilitate usability and enhance user experience.

USER EXPERIENCE (UX)#9

The overall experience of a user when interacting with a system, focusing on ease of use and satisfaction.

ALGORITHM#10

A step-by-step procedure or formula for solving a problem, particularly in data analysis and predictive modeling.

SENSITIVITY ANALYSIS#11

A method used to determine how different values of an independent variable affect a particular dependent variable, important for model validation.

STAKEHOLDER#12

Individuals or groups that have an interest in the outcome of a project, including local governments and disaster management agencies.

CASE STUDY#13

An in-depth analysis of a specific instance or example, often used to illustrate practical applications of theories.

DOCUMENTATION#14

The process of recording and organizing information about a project, essential for knowledge transfer and future reference.

VALIDATION#15

The process of ensuring that a system meets the requirements and performs as intended, particularly after testing.

WIREFRAMING#16

Creating a visual guide that represents the skeletal framework of a user interface, aiding in design and layout planning.

COLLABORATION#17

The act of working together with others towards a common goal, crucial in project development and stakeholder engagement.

MACHINE LEARNING#18

A subset of AI that enables systems to learn from data, improving predictive accuracy over time.

SCALABILITY#19

The capability of a system to handle a growing amount of work or its potential to be enlarged to accommodate that growth.

PROTOTYPING TOOLS#20

Software and hardware used to create prototypes, allowing for testing and refinement of ideas.

FEEDBACK LOOP#21

A process where outputs of a system are circled back as inputs, used to improve performance through continuous evaluation.

FLOOD MITIGATION#22

Strategies and measures taken to reduce the impact of flooding, including technology and infrastructure improvements.

COMMUNITY RESILIENCE#23

The ability of a community to anticipate, prepare for, respond to, and recover from adverse events like floods.

ENGINEERING INNOVATION#24

The process of developing new or improved technologies and methods to solve engineering challenges.