Eklas Hossain
Electrical and Electronic Engineering · 2017–2021
A researcher in the Science corpus: 7 papers; trusts 6 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Subfields
- Electrical and Electronic Engineering — 87 citations into it
- Automotive Engineering — 44 citations into it
- Artificial Intelligence — 29 citations into it
- Computer Vision and Pattern Recognition — 10 citations into it
- Management Science and Operations Research — 6 citations into it
Whom Eklas Hossain trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
- Kaile Zhou
- Seunghyoung Ryu
- Shengyi Pan
- Kirti Richa
- Oliver Kosut
- Aymen Chaouachi
- Lluc Canals Casals
- Morris Dworkin
- Mete Ozay
- Christopher K. I. Williams
Papers from Eklas Hossain's perspective
Ordered by how strongly the researchers Eklas Hossain trusts endorse each paper. Same corpus, a different order for every researcher.
- Dropout: a simple way to prevent neural networks from overfitting
- Random Forests
- Learning with Kernels: Support Vector Machines, Regularization, Optimization, and Beyond
- Technical and Economic Feasibility of Applying Used EV Batteries in Stationary Applications
- Malicious Data Attacks on the Smart Grid (IEEE Transactions on Smart Grid)
- Economic analysis of second use electric vehicle batteries for residential energy storage and load-levelling
- Cycling degradation of an automotive LiFePO4 lithium-ion battery
- A Techno-Economic Analysis of PEV Battery Second Use: Repurposed-Battery Selling Price and Commercial and Industrial End-User Value
- The economics of using plug-in hybrid electric vehicle battery packs for grid storage
- Optimal Charging Strategies for Unidirectional Vehicle-to-Grid (IEEE Transactions on Smart Grid)
Their papers
- Analysis and Mitigation of Power Quality Issues in Distributed Generation Systems Using Custom Power Devices (2018) — 300 citations
- A Comprehensive Study of Key Electric Vehicle (EV) Components, Technologies, Challenges, Impacts, and Future Direction of Development (2017) — 656 citations
- Application of Big Data and Machine Learning in Smart Grid, and Associated Security Concerns: A Review (2019) — 385 citations
- A Comprehensive Review on Second-Life Batteries: Current State, Manufacturing Considerations, Applications, Impacts, Barriers & Potential Solutions, Business Strategies, and Policies (2019) — 298 citations
- A Short-Term Load Forecasting Method Using Integrated CNN and LSTM Network (2021) — 408 citations
- Diabetes Prediction Using Ensembling of Different Machine Learning Classifiers (2020) — 451 citations
- A Comprehensive Review of the Load Forecasting Techniques Using Single and Hybrid Predictive Models (2020) — 320 citations