Info
- Utilizzare la checkbox di selezione a fianco di ciascun documento per attivare le funzionalità di stampa, invio email, download nei formati disponibili del (i) record.
Thin Films for Energy Harvesting, Conversion, and Storage / Xin Zhao, Zhong Chen, Yuxin Tang
| Thin Films for Energy Harvesting, Conversion, and Storage / Xin Zhao, Zhong Chen, Yuxin Tang |
| Autore | Zhao Xin |
| Pubbl/distr/stampa | MDPI - Multidisciplinary Digital Publishing Institute, 2019 |
| Descrizione fisica | 1 electronic resource (174 p.) |
| Soggetto topico | Technology: general issues |
| Soggetto non controllato |
photoelectrochemical
transparent conductive electrode lithium ion battery heterojunction Cu2ZnSn(S Ni-rich cathode material anode materials degradation dye-sensitized solar cells electron transfer water splitting energy storage bond population TiO2 nanotube atomic layered deposition PbI2 formation Ge incorporation visible light driven nanosheet arrays surface morphology perfect absorption organic sensitizers energy harvesting electronic structures water Al2O3 oxide thin film Se)4 solar cells energy conversion solar cell polymer nickel oxide metal-dielectric-metal structure color perception annealing nickel-cobalt-molybdenum metal oxide (NCMO) halide perovskite LaFeO3 few-layer graphene nano-flakes photocatalysis organic synthesis perovskite nanoparticle deposition system Fabry–Perot cavity thin films semitransparent coatings density functional theory LiNi0.8Co0.1Mn0.1O2 mixed metal oxides characterization density of states supercapacitor |
| ISBN |
9783039217250
3039217259 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910367747403321 |
Zhao Xin
|
||
| MDPI - Multidisciplinary Digital Publishing Institute, 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Visual Object Tracking : An Evaluation Perspective / / by Xin Zhao, Shiyu Hu, Xu-Cheng Yin
| Visual Object Tracking : An Evaluation Perspective / / by Xin Zhao, Shiyu Hu, Xu-Cheng Yin |
| Autore | Zhao Xin |
| Edizione | [1st ed. 2025.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 |
| Descrizione fisica | 1 online resource (224 pages) |
| Disciplina | 006.37 |
| Altri autori (Persone) |
HuShiyu
YinXu-Cheng |
| Collana | Advances in Computer Vision and Pattern Recognition |
| Soggetto topico |
Computer vision
Image processing Artificial intelligence Machine learning Artificial intelligence - Data processing Electronic digital computers - Evaluation Computer Vision Image Processing Artificial Intelligence Machine Learning Data Science System Performance and Evaluation |
| ISBN | 981-9645-58-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Task Introduction -- Experimental Environment -- Algorithms -- Humans -- Machine-to-Machine Comparisons -- Visual Turing Test: Machine-to-Machine Comparisons -- More Human-like Task Design -- More Realistic Data Environment -- More Human-like Executors -- More Intelligent Evaluation. |
| Record Nr. | UNINA-9911015630903321 |
|
Zhao Xin
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2025 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||