computer_science3 papersavg year 2026weak evidence

Good-quality data that is specific to the construction

Research gap analysis derived from 3 computer_science papers in our local library.

The gap

There is a lack of good-quality data that is specific to the construction industry to train strong models. - There is a need for strong computing power and steady internet connection at construction sites. - There is a lack of skilled worke

Evidence profile

Stated in the cells research gap and cells future research sections of the source papers, classified as general, spanning 3 journals.

Research trend

Established — well-defined area with open sub-problems.

Supporting evidence — 3 representative gaps

  • Machine Learning-Driven Construction Management: Enhancing Productivity, Quality, and Sustainability (2026) · International Journal of Creative and Open Research in Engineering and Management · doi

    The construction industry lacks a comprehensive understanding of the role of machine learning in modern construction management. - There is a need to examine the contributions of machine learning toward enhancing productivity, quality, and sustainability in the construction industry. - The study identifies emerging trends shaping Construction 4.0 and Construction 5.0 paradigms as a research gap.

    generalstated in cells research gapevidence 5/5
    Keywords: construction industry lacks comprehensive understanding role machine learning
  • Review Paper On AI In Civil Engineering (2026) · Zenodo (CERN European Organization for Nuclear Research) · doi

    There is a lack of good-quality data that is specific to the construction industry to train strong models. - There is a need for strong computing power and steady internet connection at construction sites. - There is a lack of skilled workers available to work with AI in construction.

    generalstated in cells research gapevidence 5/5
    Keywords: there lack good-quality data specific construction industry train
  • Numerical Simulation and Machine Learning-Based Analysis of Aerodynamic Characteristics in High-Rise Composite Plan-Shaped Buildings (2026) · Journal of Vibration Engineering & Technologies · doi

    Future research should focus on validating the results using real-world data. - The study's results can be used to optimize structural design and safety, reducing the risk of wind-induced damage. - Further research is needed to explore the application of machine learning techniques in other areas of building design and construction.

    generalstated in cells future researchevidence 4/5
    Keywords: future research focus validating results using real-world data

Questions about this gap

There is a lack of good-quality data that is specific to the construction industry to train strong models. - There is a need for strong computing power and steady internet connecti… This is supported by 3 representative gap statements extracted from 3 papers, rated weak evidence.

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