Tanveer Choudhury
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View article: Artificial-Intelligence-Based Prediction of Crack and Shrinkage Intensity Factor in Clay Soils During Desiccation
Artificial-Intelligence-Based Prediction of Crack and Shrinkage Intensity Factor in Clay Soils During Desiccation Open
Desiccation-induced cracking in clay soils significantly affects the structural performance and durability of geotechnical systems. This study presents a data-driven approach to predict the Crack and Shrinkage Intensity Factor (CSIF), a co…
View article: Non-Conservative Efficient Collision Checking and Depth Noise-Awareness for Trajectory Planning
Non-Conservative Efficient Collision Checking and Depth Noise-Awareness for Trajectory Planning Open
View article: Characterization of Energy Profile and Load Flexibility in Regional Water Utilities for Cost Reduction and Sustainable Development
Characterization of Energy Profile and Load Flexibility in Regional Water Utilities for Cost Reduction and Sustainable Development Open
Water utilities use a significant amount of electrical energy due to the rising demand for wastewater treatment driven by environmental and economic reasons. The growing demand for energy, rising energy costs, and the drive toward achievin…
View article: Superiority of artificial neural networks over conventional hydrological models in simulating urban catchment runoff
Superiority of artificial neural networks over conventional hydrological models in simulating urban catchment runoff Open
The synergistic impacts of climate change and urbanisation have amplified the recurrence and austerity of intense rainfall events, exacerbating persistent flooding risk in urban environments. The intricate topography and inherent non-linea…
View article: Wireless Underground Sensor Communication Using Acoustic Technology
Wireless Underground Sensor Communication Using Acoustic Technology Open
The rapid advancement toward smart cities has accelerated the adoption of various Internet of Things (IoT) devices for underground applications, including agriculture, which aims to enhance sustainability by reducing the use of vital resou…
View article: CEREI: An open-source tool for Cost-Effective Renewable Energy Investments
CEREI: An open-source tool for Cost-Effective Renewable Energy Investments Open
This paper presents the development of a tool that aims to help stakeholders make informed decisions to invest in renewable energy and understand the impact of different tariffs on the economic viability of renewable energy investments. Th…
View article: Use of Artificial Intelligence Modelling for the Dynamic Simulation of Urban Catchment Runoff
Use of Artificial Intelligence Modelling for the Dynamic Simulation of Urban Catchment Runoff Open
The complex topography and inherent nonlinearity affiliated with influential hydrological processes of urban catchments, coupled with limited availability of measured data, limits the prediction accuracy of conventional models. Artificial …
View article: Artificial neural networks applied to plasma spray manufacturing
Artificial neural networks applied to plasma spray manufacturing Open
Thermal spray is a general term for a group of coating processes that are used to apply metal or non-metallic coatings to protect a functional surface or to improve its performance. The atmospheric plasma spray is a highly variable and ver…
View article: Depth-based Sampling and Steering Constraints for Memoryless Local Planners
Depth-based Sampling and Steering Constraints for Memoryless Local Planners Open
By utilizing only depth information, the paper introduces a novel two-stage planning approach that enhances computational efficiency and planning performances for memoryless local planners. First, a depth-based sampling technique is propos…
View article: A Depth-Based Hybrid Approach for Safe Flight Corridor Generation in Memoryless Planning
A Depth-Based Hybrid Approach for Safe Flight Corridor Generation in Memoryless Planning Open
This paper presents a depth-based hybrid method to generate safe flight corridors for a memoryless local navigation planner. It is first proposed to use raw depth images as inputs in the learning-based object-detection engine with no requi…
View article: Developing Mathematical Models for Predicting Cracks and Shrinkage Intensity Factor During Clay Soil Desiccation
Developing Mathematical Models for Predicting Cracks and Shrinkage Intensity Factor During Clay Soil Desiccation Open
View article: Depth-based Sampling and Steering Constraints for Memoryless Local Planners
Depth-based Sampling and Steering Constraints for Memoryless Local Planners Open
By utilizing only depth information, the paper introduces a novel but efficient local planning approach that enhances not only computational efficiency but also planning performances for memoryless local planners. The sampling is first pro…
View article: Smart Textiles for Improved Quality of Life and Cognitive Assessment
Smart Textiles for Improved Quality of Life and Cognitive Assessment Open
Smart textiles can be used as innovative solutions to amuse, meaningfully engage, comfort, entertain, stimulate, and to overall improve the quality of life for people living in care homes with dementia or its precursor mild cognitive impai…
View article: Non-functional regression: A new challenge for neural networks
Non-functional regression: A new challenge for neural networks Open