Meysam Madadi – författare
Visar alla böcker från författaren Meysam Madadi. Handla med fri frakt och snabb leverans.
5 produkter
Lignin-driven Advanced Materials
The State-of-the-Art
Av Meysam Madadi, Mahdy Elsayed m. fl.
Häftad, 2025
2458 kr
Lägg i varukorg
Lignin-driven Advanced Materials: The State-of-the-Art offers a pioneering approach to address the multifaceted challenges in the production of lignin-derived materials. This comprehensive book covers the creation of value-added products such as carbon materials, nanoparticles, energy storage …
Lignin-driven Advanced Materials
The State-of-the-Art
Av Meisam Tabatabaei, Mortaza Aghbashlo m. fl.
E-bok, 2025
3045 kr
Lägg i varukorg
Lignin-driven Advanced Materials: The State-of-the-Art offers a pioneering approach to address the multifaceted challenges in the production of lignin-derived materials. This comprehensive book covers the creation of value-added products such as carbon materials, nanoparticles, energy storage …
Inpainting and Denoising Challenges
Av Sergio Escalera, Stephane Ayache m. fl.
Inbunden, 2019
569 kr
Lägg i varukorg
The problem of dealing with missing or incomplete data in machine learning and computer vision arises in many applications. Recent strategies make use of generative models to impute missing or corrupted data. Advances in computer vision using deep generative models have found applications in …
Inpainting and Denoising Challenges
Av Xavier Baro, Umut Guclu m. fl.
E-bok, 2019
739 kr
Lägg i varukorg
The problem of dealing with missing or incomplete data in machine learning and computer vision arises in many applications. Recent strategies make use of generative models to impute missing or corrupted data. Advances in computer vision using deep generative models have found applications in …
Inpainting and Denoising Challenges
Av Sergio Escalera, Stephane Ayache m. fl.
Häftad, 2020
569 kr
Lägg i varukorg
The problem of dealing with missing or incomplete data in machine learning and computer vision arises in many applications. Recent strategies make use of generative models to impute missing or corrupted data. Advances in computer vision using deep generative models have found applications in …
