Browsing by Subject "Artificial Intelligence"
Now showing items 1-20 of 27
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(2022-07-20)The popularity of Cognitive Assistants, defined as intelligent AI agents that enhance human capabilities and interact through natural language, has surged in the last decade. Recent advances in natural language understanding ...
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(Mary Kay O'Connor Process Safety Center; Texas &M University. Libraries, 2018)This presentation reports on a case study from the financial sector with application to challenges in the field of process safety. Banks collect massive amounts of data from routine financial transactions. Some of the data ...
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(Energy Systems Laboratory (http://esl.tamu.edu), 1985-05)This paper is a general overview of the field of artificial Intelligence and of some of the application issues within that field. Its first objective is to try and establish a viable definition for what artificial intelligence ...
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While manual probing is the gold standard for periodontal assessments, it can be time consuming. Patients can be wrongfully classified due to an inconsistency between examiners, the amount of time a clinician is given for ...
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(2020-07-13)Fatigue damage and aging are two typical deterioration modes in flexible pavements. Fatigue damage is mainly caused by load repetitions. It results in the degradation of pavement materials and structures which significantly ...
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Automated Construction Work Package Decision-Making Model Using RSMeans and LSTM Based Deep Learning (2022-03-29)Construction projects involve complicated workflows with efficient resource management. One of the methods for successful project planning is Work Packaging (WP.) Composition of the WP has been done by human understanding, ...
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(2021-04-16)The objectives of the present study were first, to synthesize the literature pertaining to artificial intelligence (AI) and machine learning (ML) applications in orthodontics, second to evaluate the possibility of predicting ...
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(2019-11-13)Quantum computing and machine learning are both promising technologies that have seen rapid progress recently. However, the state of the art in these fields suggests it would be advantageous to combine both technologies ...
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(2023-05-10)State Highway Agencies (SHAs) collect a significant amount of digital data on highway projects during different project phases, including bid tabulations and Daily Work Reports (DWRs). However, SHAs do not fully take ...
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(Texas A&M University, 2004-09-30)This work is aimed towards the development of an artificially intelligent search algorithm used in conjunction with an Auto Associative Neural Network (AANN) to help locate and reconstruct faulty sensor inputs in control ...
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(2020-04-02)Drawing is a highly useful skill that can make people better at solving problems, communicating ideas to others, collaborating, and producing more creative and novel ideas. It can be a difficult skill to master for many ...
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(2021-07-14)Artificial intelligence (AI) is revolutionizing various systems within the Architecture, Engineering, Construction, and Facilities Management (AEC/FM) domains. The rapid advancements in computational methods, engineering ...
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(2022-08-17)A reliable assessment of damage and loss is an important function in the disaster management cycle. A dependable loss prediction model is essential for effective pre-disaster preparedness, that has direct consequence on ...
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(2012-02-14)Recent advances in the field of educational technology have promoted the re-purposing of entertainment-oriented games and software for educational applications. This thesis extends a project developed at Texas A&M ...
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(2022-02-09)The emergence of ultra-high-performance concrete (UHPC) as an attractive solution for precast and prestressed applications has coincided with global efforts towards sustainable construction. The increasing need for tools ...
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(2015-09-21)We address the problem of controlling continuum manipulators and evaluate Reinforcement Learning to produce a control policy for a robotic platform. Our approach discretizes the state and action spaces to reduce the training ...
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(2019-10-24)Machine Learning involves analysing large sets of training data to make predictions and decisions to achieve a specific objective. This data-intensive computation places enormous demand on the underlying hardware. To improve ...
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(2023-03-23)Climate disasters have severely impacted our built environment, infrastructure, and way of life, causing significant economic and fatal losses. In the immediate aftermath of a disaster, preliminary damage assessment (PDA) ...
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(Texas A&M University, 2004-11-15)Psychological studies have shown that information exchange is a key component of effective teamwork. In addition to requesting information that they need for their tasks, members of effective teams often proactively forward ...
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(2015-09-03)Common navigation algorithms like A* or D* Lite rely on costs to determine an optimal path. Costs may incorporate distance, time, or energy consumption; however, they can include anything that affects travel along a path. ...