Design-integrated Urban Heat Island analysis tool and workflow : development and application by Awino, Hellen Rose Anyango.

Get full text

Holographic augmented reality : towards near-to-eye electroholography via guided wave acousto-optics by Jolly, Sundeep(Sundeep Kumar)

Get full text

Development and application of a pre-corrected fast Fourier transform accelerated multi-layer boundary element method for the simulation of shallow water acoustic propagation by Li, Chengxi, Lian, Jijian

“…Solving such linear equation system requires O(N2 /N3 ) computational cost for iterative/direct methods. The developed method, PFFT-BEM, can effectively reduce the computational efforts for direct numerical simulations from O(N2~3) to O(Nlog N), where N is the total number of boundary unknowns. …”
Get full text

Improved methodology for evaluating adversarial robustness in deep neural networks by Lee, Kyungmi,(Computer scientist)Massachusetts Institute of Technology.

Get full text

Discovering the meaning behind the story : creating a system for documenting and supporting children's narrative development by Woolf, Anneli Rane.

Get full text

Learning to teach and meta-learning for sample-efficient multiagent reinforcement learning by Kim, Dong Ki(Aeronautics and astronautics scientist)Massachusetts Institute of Technology.

Get full text

Identifying patterns of learning : a case study of MIT's Introductory Programming Course (6.000x) by Abadiotakis, Helen.

Get full text

Online and offline learning in operations by Wang, Li

Get full text

Technology-assisted coaching : a system for Children's literacy learning by Nazare, Juliana Toni.

Get full text

Actionable insights with less data: guiding early building design decisions with streamlined probabilistic life cycle assessment by Hester, Joshua, Miller, T. R, Gregory, Jeremy, Kirchain, Randolph

“…Conclusions Iterative specification guided by probabilistic triage can help identify promising early-design alternatives even when details are only provided for key attributes. …”
Get full text

Unified value-based feedback, optimization and risk management in complex electric energy systems by Ilic, Marija, Jaddivada, Rupamathi

“…It is also is proposed for the first time to utilize sensitivity functions of distributed agents for solving the primal distributed problem. Iterative communication complexity typically required for convergence of point-wise information exchange is replaced by the embedded distributed optimization by the modules when creating these functions. …”
Get full text

The Mag.num core field model as a parent for IGRF-13, and the recent evolution of the South Atlantic Anomaly by Rother, M., Korte, M., Morschhauser, A., Vervelidou, F., Matzka, J., Stolle, C.

“…Data were selected from magnetically quiet periods, and the model parameters have been obtained using an iteratively reweighted inversion scheme approximating a robust modified Huber norm as a measure of misfit. …”
Get full text

New strategies for in vivo continuous directed evolution by Papa, Louis John, III.

Get full text

Fiat-Shamir for Repeated Squaring with Applications to PPAD-Hardness and VDFs by Lombardi, Alex, Vaikuntanathan, Vinod

“…In this work, we consider the problem of compiling a different succinct interactive proof system: Pietrzak’s proof system (ITCS 2019) for the iterated squaring problem. We construct a hash function family (with evaluation time roughly (Formula Presented)) that guarantees the soundness of Fiat-Shamir for this protocol assuming the sub-exponential (Formula Presented)-hardness of the n-dimensional learning with errors problem. …”
Get full text

A Learning-Based Thermal Simulation Framework for Emerging Two-Phase Cooling Technologies by Yuan, Zihao, Vaartstra, Geoffrey, Shukla, Prachi, Lu, Zhengmao, Wang, Evelyn, Reda, Sherief, Coskun, Ayse K.

“…Two-phase cooling mechanisms, including microchannel-based two-phase cooling or two-phase vapor chambers (VCs), are typically modeled by computing the temperature-dependent heat transfer coefficient (HTC) of the evaporator or coolant using an iterative simulation framework. Precomputed HTC correlations are specific to a given cooling system design and cannot be applied to even the same cooling technology with different cooling parameters (such as different geometries). …”
Get full text

On the interplay between physical and content priors in deep learning for computational imaging by Deng, Mo, Li, Shuai, Zhang, Zhengyun, Kang, Iksung, Fang, Nicholas X, Barbastathis, George

“…Deep learning (DL) has been applied extensively in many computational imaging problems, often leading to superior performance over traditional iterative approaches. However, two important questions remain largely unanswered: First, how well can the trained neural network generalize to objects very different from the ones in training? …”
Get full text

Migrant sarifa settlements and state-Building in Iraq by Gupta, Huma.

Get full text

Hydrogen-Induced Transformations in Metastable High Entropy Alloys by Ronchi, Maria R.

“…We identify two particular samples which exhibit extreme cases of indentation response and can provide a starting point for future iterations of this investigation.…”
Get full text

An Environmental Cost Basis for Regulating Aviation NOx Emissions/ by Miller, Cassandra Joy.

Get full text

Elements of lubricant transport critical to piston skirt lubrication and to leakage into the piston ring pack in internal combustion engines by Ahling, Sebastian Gerd

“…These key findings enable us to design a better, more efficient piston in the future—in fact, one recent design iteration of the piston skirt has already revealed the benefits of this approach. …”
Get full text