• Addressing technical barriers for reliable, safe removal of fluoride from drinking water using minimally processed bauxite ores 

  Buckley⁠, Heather L.; Molla⁠c, Nusrat J.; Cherukumilli⁠, Katya; Boden, Kathryn S.; Gadgil, Ashok J. (Development Engineering, 2018)

  Throughout the developing world, over 200 million people drink groundwater containing fluoride concentrations surpassing the World Health Organization's maximum recommended contaminant level (WHO-MCL) of 1.5 mg F−/L, ...
• Using Bayesian deep learning approaches for uncertainty-aware building energy surrogate models 

  Westermann, Paul; Evins, Ralph (Energy and AI, 2021)

  Fast machine learning-based surrogate models are trained to emulate slow, high-fidelity engineering simulation models to accelerate engineering design tasks. This introduces uncertainty as the surrogate is only an approximation ...
• Novel flexible buffering architectures for 3D-NoCs 

  Said, Mostafa; Sarihi, Amin; Patooghy, Ahmad; El-Mohandes, Awny M.; Badawy, Abdel-Hameed A.; Gebali, Fayez (Sustainable Computing: Informatics and Systems, 2021)

  In the conventional router architecture of Network-on-Chips (NoCs), each input port employs a set of dedicated flit buffers to store incoming flits. This mechanism unevenly distributes flits among router buffers, which in ...
• Renewable Additives that Improve Water Resistance of Cellulose Composite Materials 

  Buckley, Heather L.; Touchberry, Caitlin H.; McKinley, Jonathan P.; Mathe, Zachary S.; Muradyan, Hurik; Ling, Hannah; Fadadu, Raj P.; Mulvihill, Martin J.; Amrose, Susan E. (Journal of Renewable Materials, 2016)

  Waste cardboard is an underutilized resource that can be redirected for the creation of safer and higher quality building materials for low-income housing in the developing world, as well as to produce better materials for ...
• Conclusion stability for natural language based mining of design discussions 

  Mahadi, Alvi (2021-02-11)

  Developer discussions range from in-person hallway chats to comment chains on bug reports. Being able to identify discussions that touch on software design would be helpful in documentation and refactoring software. Design ...
• Aperiodically sampled stochastic model predictive control: analysis and synthesis 

  Chen, Jicheng (2021-02-11)

  Stochastic model predictive control (MPC) is a fascinating field for research and of increasing practical importance since optimal control techniques have been intensively investigated in modern control system design. ...
• Urbanization under a Changing Climate-Impacts on Hydrology 

  Valeo, Caterina; He, Jianxun; Kasiviswanathan, Kasiapillai S. (Water, 2021)
• On the Design of Aeroelastically Scaled Models of High Aspect-Ratio Wings 

  Afonso, Frederico; Coelho, Mónica; Vale, José; Lau, Fernando; Suleman, Afzal (Aerospace, 2020)

  Recently, innovative aircraft designs were proposed to improve aerodynamic performance. Examples include high aspect ratio wings to reduce the aerodynamic induced drag to achieve lower fuel consumption. Such solution ...
• Real-Time Estimation of Disinfection By-Products through Differential UV Absorbance 

  Stéphanie, Guilherme; Caetano, Dorea (Water, 2020)

  E orts to control of unwanted disinfection by-products (DBPs) can be hindered by the relatively low-frequency data that is generated from DBP monitoring for regulatory purposes. Di erential UV absorbance (DUVA) has the ...
• A Relay Selection Protocol for UAV-Assisted VANETs 

  He, Yixin; Zhai, Daosen; Wang, Dawei; Tang, Xiao; Zhang, Ruonan (Applied Sciences, 2020)

  In this paper, we investigate the relay selection problem for the unmanned aerial vehicle (UAV)-assisted vehicular ad-hoc networks (VANETs). For the considered network, we first model and analyze the link quality of service ...
• A Velocity Meter for Quantifying Advection Velocity Vectors in Large Water Bodies 

  Allafchi, Farzam; Valeo, Caterina; Chu, Angus; He, Jianxun; Lee, Waltfred; Oshkai, Peter; Neumann, Norman (Sensors, 2020)

  A velocity meter was designed and built in order to meet market needs for an affordable instrument that measures the range of velocity magnitudes and direction experienced in medium- to large-sized water bodies. The velocity ...
• Assessing the Molecular Specificity and Orientation Sensitivity of Infrared, Raman, and Vibrational Sum-Frequency Spectra 

  Chen, Fei; Gozdzialski, Lea; Hung, Kuo-Kai; Stege, Ulrike; Hore, Dennis K. (Symmetry, 2021)

  Linear programming was used to assess the ability of polarized infrared absorption, Raman scattering, and visible–infrared sum-frequency generation to correctly identify the composition of a mixture of molecules adsorbed ...
• The Relative Contribution of Solutal Marangoni Convection to Thermal Marangoni Flow Instabilities in a Liquid Bridge of Smaller Aspect Ratios under Zero Gravity 

  Mendis, Radeesha Laknath Agampodi; Sekimoto, Atsushi; Okano, Yasunori; Minakuchi, Hisashi; Dost, Sadik (Crystals, 2021)

  The effect of solutal Marangoni convection on flow instabilities in the presence of thermal Marangoni convection in a Si-Ge liquid bridge with different aspect ratios As has been investigated by three-dimensional (3D) ...
• Corrosion Evaluation of Geopolymer Concrete Made with Fly Ash and Bottom Ash 

  Morla, Priyanka; Gupta, Rishi; Azarsa, Peiman; Sharma, Ashutosh (Sustainability, 2021)

  Environmental pollution caused by CO2 releasing from the production of cement is a great challenge for the construction industry and has triggered exploration into more sustainable alternatives. Geopolymer Concrete (GPC) ...
• Early Prediction of Battery Cycle Life Using Machine Learning 

  Liu, Wenmeng (2021-01-26)

  Lithium-ion batteries are widely used in transportation and vehicle electrification because of their low cost, high-energy density, and long lifetime. However, aging, complex nonlinear degradation, and diverse operation ...
• Word-serial unified and scalable semi-systolic processor for field multiplication and squaring 

  Ibrahim, Atef (Alexandria Engineering Journal, 2021)

  This paper exhibits a word-serial unified and scalable semi-systolic processor core for concurrently executing both multiplication and squaring operations over GF(). The processor is extracted by applying a chosen non-linear ...
• Inter-patient electrocardiogram heartbeat classification with 2-D convolutional neural network 

  Ye, Kun (2021-01-25)

  Advanced computer technologies can transform the traditional electrocardiogram (ECG) monitoring system for better efficiency and accuracy. ECG records a heart's electrical activity using electrodes placed on the skin, and ...
• Identification of thermal building properties using gray box and deep learning methods 

  Baasch, Gaby (2021-01-25)

  Enterprising technologies and policies that focus on energy reduction in buildings are paramount to achieving global carbon emissions targets. Energy retrofits, building stock modelling, heating, ventilation, and air ...
• On the difficulty of generalizing deep reinforcement learning framework for combinatorial optimization 

  Pashazadeh, Mostafa (2021-01-19)

  Combinatorial optimization problems on the graph with real-life applications are canonical challenges in Computer Science. The difficulty of finding quality labels for problem instances holds back leveraging supervised ...
• Metric learning for multivariate time series analysis using DTW: application to remote sensing and software engineering 

  Salaou, Abdoul-Djawadou (2021-01-19)

  In the context of growing availability of data, Time Series are essential for extracting and understanding the evolution of underlying natural, artificial, social or economic phenomena. The related literature has extensively ...

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