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This paper addresses the challenge of discovering interpretable, nonlinear constitutive material models directly from full-field displacement and reaction force data without requiring local stress …
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This paper addresses a critical challenge in deploying large language models (LLMs) to control real-world scientific experiments, specifically high-throughput experimentation (HTE)
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This paper tackles the challenging problem of feature importance interpretation in clustering, a widely used unsupervised learning tool for exploratory data analysis and scientific discovery
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This paper addresses the problem of accurately classifying cotton leaf diseases using deep learning, a critical task for improving cotton crop health and supporting agricultural economies
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This paper investigates the overlooked impact of bot detection and blocking on large-scale web measurement research that relies heavily on automated browser frameworks
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This work addresses the growing challenge of detecting highly realistic synthetic (spoofed) speech, a critical problem given advances in text-to-speech and voice conversion technologies
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This paper addresses the critical astrophysical problem of understanding the sources and evolution of cosmic reionization, focusing on predicting the escape fraction (f_esc) and escape rate (\dot{N…
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This paper addresses the shortage of high-resolution, multimodal datasets capturing the complex 3D structure of sociable weaver nests embedded in savanna trees
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This paper explores the adaptation of Private Information Retrieval (PIR) protocols to synthetic DNA-based data storage systems
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This paper assesses the realistic threat quantum computing poses to Bitcoin and Ethereum, separating two frequently conflated quantum algorithms — Shor's and Grover's
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This paper addresses the problem of network flow interdiction under structural uncertainty with applications in counter-narcotics
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This paper tackles the challenge of integrating the widely used Modelica language for cyber-physical system modeling with modern downstream workflows like optimization, differentiable simulation, a…
