Ali Selamat
Remote Sensing · 2014–2019
A researcher in the Science corpus: 3 papers; trusts 3 researchers and is trusted by 0 researchers here, as inferred from the citation graph.
Whom Ali Selamat trusts overall
Their strongest outbound trust, strongest first, inferred from their citations.
Papers from Ali Selamat's perspective
Ordered by how strongly the researchers Ali Selamat trusts endorse each paper. Same corpus, a different order for every researcher.
- Performing systematic literature reviews in software engineering (International Conference on Software Engineering)
- Using Mapping Studies in Software Engineering (Annual Workshop of the Psychology of Programming Interest Group)
- Radiometric correction of multi-temporal Landsat data for characterization of early successional forest patterns in western Oregon
- Fog of Everything: Energy-Efficient Networked Computing Architectures, Research Challenges, and a Case Study
- A Comparison of Land Surface Water Mapping Using the Normalized Difference Water Index from TM, ETM+ and ALI (Remote Sensing)
- Literature review of Industry 4.0 and related technologies (Journal of Intelligent Manufacturing)
- The future of construction automation: Technological disruption and the upcoming ubiquity of robotics
- Using the Normalized Difference Water Index (NDWI) within a Geographic Information System to Detect Swimming Pools for Mosquito Abatement: A Practical Approach (Remote Sensing)
- Software release planning: an evolutionary and iterative approach (Information and Software Technology)
- Understanding the implications of digitisation and automation in the context of Industry 4.0: A triangulation approach and elements of a research agenda for the construction industry (Computers in industry (Print))
Their papers
- Industry 4.0 for the Construction Industry—How Ready Is the Industry? (2019) — 189 citations
- A systematic literature review of software requirements prioritization research (2014) — 414 citations
- Water Feature Extraction and Change Detection Using Multitemporal Landsat Imagery (2014) — 644 citations