Smart Materials Engineering

Data-Driven Approaches and Multiscale Modelling

Éditeur :

Springer

Paru le : 2026-01-01

This book bridges the gap between conventional materials science and emerging data-driven methodologies, highlighting the integration of AI, machine learning, and deep learning technologies to enhance the design, analysis, and optimization of smart materials. It provides a holistic perspective essen...
Voir tout
Ce livre est accessible aux handicaps Voir les informations d'accessibilité
Ebook téléchargement , DRM LCP 🛈 DRM Adobe 🛈
Compatible lecture en ligne (streaming)
210,99
Ajouter à ma liste d'envies
Téléchargement immédiat
Dès validation de votre commande
Image Louise Reader présentation

Louise Reader

Lisez ce titre sur l'application Louise Reader.

À propos

Auteur

Éditeur

Collection
n.c

Parution
2026-01-01

Pages
230 pages

EAN papier
9783032095398

Dr. Ali Ahmadian, a globally recognized researcher in applied mathematics, specializes in fuzzy and fractional calculus and has authored over 400 papers and several books. Dr. Sambhrant Srivastava, an expert in mechanical engineering and biomaterials, is known for his work on bio-composite materials for dental implants. Dr. Ashok Kumar Yadav brings expertise in MADM, blockchain, machine learning, and mobile communication, with numerous impactful publications and patents. Mr. Vijay Kumar, with interests in vibration, ML, and composite materials, has contributed to prestigious journals and holds patents and books. Dr. Pramod Kumar Srivastava, an experienced academic and Dean at REC Azamgarh, excels in wireless sensor networks and mathematical modeling, with a strong record of Ph.D. mentorship and gold-medal academic excellence. Together, they offer a strong multidisciplinary foundation, blending advanced research, innovation, and academic leadership across applied mathematics, engineering, and computational intelligence.

Caractéristiques détaillées - droits

EAN PDF
9783032095404
Prix
210,99 €
Nombre pages copiables
2
Nombre pages imprimables
23
Taille du fichier
14572 Ko
EAN EPUB
9783032095404
Prix
210,99 €
Nombre pages copiables
2
Nombre pages imprimables
23
Taille du fichier
24003 Ko

Suggestions personnalisées