Risultati per

I am deeply honored to announce the official publication of my latest academic volume:
MATLAB for Civil Engineers: From Basics to Advanced Applications
(Springer Nature, 2025).
https://link.springer.com/book/10.1007/978-3-031-84673-1
This work serves as a comprehensive bridge between theoretical civil engineering principles and their practical implementation through MATLAB—a platform essential to the future of computational design, simulation, and optimization in our field.
Structured to serve both academic audiences and practicing engineers, this book progresses from foundational MATLAB programming concepts to highly specialized applications in structural analysis, geotechnical engineering, hydraulic modeling, and finite element methods. Whether you are a student building analytical fluency or a professional seeking computational precision, this volume offers an indispensable resource for mastering MATLAB's full potential in civil engineering contexts.
With rigorously structured examples, case studies, and research-aligned methods, MATLAB for Civil Engineers reflects the convergence of engineering logic with algorithmic innovation—equipping readers to address contemporary challenges with clarity, accuracy, and foresight.
📖 Ideal for:
— Graduate and postgraduate civil engineering students
— University instructors and lecturers seeking a structured teaching companion
— Professionals aiming to integrate MATLAB into complex real-world projects
If you are passionate about engineering resilience, data-informed design, or computational modeling, I invite you to explore the work and share it with your network.
🧠 Let us advance the discipline together through precision, programming, and purpose.
Watch live as Brandon Armstrong and Cris LaPierre import, visualize, and compute statistics without writing code in MATLAB.
The first challenge when starting a new project is importing and exploring the data to determine what it contains. This is especially true if your files contain a mix of numeric, text, and categorical data.
MATLAB has many new tools to simplify this process. Using app-based workflows enable you to spend more time investigating and exploring your data and less time troubleshooting code. Importantly, the code required to repeat your analysis is auto-generated so you can apply the same steps to new files and have others reproduce your work.
Date: 8/25 at 11am EDT - View in your timezone
Link: https://youtu.be/ViI01KNIMh4
andy neo
andy neo
Ultima attività il 21 Maggio 2021

Thingspeak analysis & predicting sensor data

Hi, I have an AIOT project on vertical farming project. Currently, I am using Thingspeak to store sensor values. I am planning to do the followings:

1) do an analysis on the data collected for each sensors on their max, min and median (50%) to determine that the sensor value is currently ok for the plants. I am aware that Thingspeak is able to calculate these and I am learning about this now.

2) I would like to predict the sensor values collected ( eg temperature/humidity etc). I feel that this is a cool feature to have in my project but I am not sure how do I go about this. For experts in Thingspeak, do you think this is a must have for an internship project on vertical farming and how do I apply this in my project? I am not sure if this is manageable for a single student to do this and I really appreciate it if anyone would guide me along.