Machine Learning for Missing Maps: A Collaboration to Improve Disaster Relief

(Autor)

Buch | Softcover
88 Seiten
2024
tredition (Verlag)
978-3-384-26912-6 (ISBN)
28,00 inkl. MwSt
Disaster strikes, but where's the map? Traditional maps often lack details in vulnerable areas. Here's where machine learning (ML) and a collaborative project called Missing Maps team up to improve disaster relief.Imagine vast regions missing from maps - areas critical for delivering aid after a crisis. Missing Maps uses volunteers to map these areas online. But the sheer volume of data can be overwhelming.This is where ML comes in. It analyzes satellite imagery, identifying potential roads, buildings, and landmarks. This "first draft" saves volunteers time by suggesting features to map, allowing them to focus on refining details.The collaboration is a win-win. ML lightens the load for volunteers, and Missing Maps gets more accurate maps faster. This translates to quicker aid delivery and a lifeline for people in desperate need.

Professor Dr. Sanam is a renowned materials scientist at the forefront of research on MXenes, a revolutionary class of two-dimensional (2D) materials with exceptional properties and vast potential applications. Their distinguished career has been dedicated to unlocking the promise of MXenes, pushing the boundaries of materials science and paving the way for their integration into cutting-edge technologies. "MXenes: Unlocking the Promise of a Versatile 2D Material" represents Professor Dr. Sanam's culmination of years spent researching, developing, and championing MXenes. Professor Dr. Sanam meticulously analyzes the unique atomic structure and composition of MXenes, delving into their exceptional conductivity, mechanical strength, and surface functionalities. They explore how these properties position MXenes as strong contenders in fields like energy storage, sensors, catalysis, and electromagnetic shielding. Professor Dr. Sanam's passion extends beyond the realm of pure science. They are a strong advocate for fostering collaboration between academia and industry to translate fundamental research on MXenes into real-world applications. Professor Dr. Sanam actively collaborates with engineers, chemists, and entrepreneurs to identify the most promising applications for MXenes and accelerate their commercialization. Their writing is known for its clarity and engaging style, effectively bridging the gap between complex materials science concepts and the exciting potential of MXenes for a broad audience, pen_spark including scientists, engineers, and anyone interested in the future of materials technology. In "MXenes: Unlocking the Promise of a Versatile 2D Material," Professor Dr. Sanam embarks on a captivating exploration of this groundbreaking material. They delve into the history of MXene discovery, showcase the latest advancements in MXene research, and explore the transformative impact they are poised to have on various scientific and technological fields. Professor Dr. Sanam's insightful analysis equips readers to understand the immense potential of MXenes and inspires them to join the quest to unlock this wonder material's full potential in shaping the future.

Erscheint lt. Verlag 22.6.2024
Verlagsort aus
Sprache englisch
Maße 155 x 234 mm
Gewicht 162 g
Themenwelt Technik Elektrotechnik / Energietechnik
Schlagworte AI-assisted mapping workflows • automated feature detection • Data Quality • Disaster Relief • Humanitarian mapping • Increased mapping efficiency • Machine Learning (ML) • Missing Maps Project • OpenStreetMap (OSM) • Satellite imagery analysis • Volunteer data validation
ISBN-10 3-384-26912-8 / 3384269128
ISBN-13 978-3-384-26912-6 / 9783384269126
Zustand Neuware
Haben Sie eine Frage zum Produkt?
Mehr entdecken
aus dem Bereich
Wegweiser für Elektrofachkräfte

von Gerhard Kiefer; Herbert Schmolke; Karsten Callondann

Buch | Hardcover (2024)
VDE VERLAG
48,00