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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.