default author photo

Anto Leoba

Université Adventiste Cosendai

Nanga Eboko, CT Center 237

Cameroon

http://www.uacosendai-edu.net

  • Université Adventiste Cosendai

SCHOLARLY PAPERS

3

DOWNLOADS

162

TOTAL CITATIONS

0

Scholarly Papers (3)

Actions:
Email selected abstracts
1.

An Economy-Based Preemption Resource Allocation in Cloud Computing

Number of pages: 10 Posted: 15 Jan 2019
Anto Leoba, Kombou Victor and Fokam Poka Arsene
Université Adventiste Cosendai, Université Adventiste Cosendai and Université Adventiste Cosendai
Downloads 78 (816,709)

Abstract:

Loading...

Cloud Computing, Resource Allocation, Service Level Agreement

2.

Separator with Active Coating for Fast and Stable Li-Ion Batteries

Number of pages: 20 Posted: 14 Dec 2023
Modeste Nitou, Mengjun Tang, Yinghua Niu, Yashuai Pang, Zhao Wan, Smith Mawuli, Anto Leoba, Fang Xiaodong and Weiqiang Lv
affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, affiliation not provided to SSRN, Université Adventiste Cosendai, affiliation not provided to SSRN and affiliation not provided to SSRN
Downloads 69 (891,180)

Abstract:

Loading...

Lithium-ion batteries, Separator, active material, safety, Li-ion diffusion

3.

Attrition-Aware, Multi-Architecture Probabilistic Forecasting of Global and Regional Low-Carbon Hydrogen Deployment to 2050

Number of pages: 33 Posted: 25 Mar 2026
Joseph Junior NKOU NKOU, Olusola Bamisile, Caroline Acen, Dongsheng Cai, Chukwuebuka Ejiyi, Anto Leoba, Qi Huang and Haonan Zhang
Chengdu University of Technology, University of Dundee, Chengdu University of Technology, Chengdu University of Technology, Chengdu University of Technology, Université Adventiste Cosendai, Chengdu University of Technology and affiliation not provided to SSRN
Downloads 15 (1,500,778)

Abstract:

Loading...

Low-carbon hydrogen deployment, Attrition-aware forecasting, Probabilistic energy modelling, Sequence learning models, Global-regional capacity forecasting