In 2026, tech leaders are learning a painful lesson: the problem with scaling AI adoption isn't understanding the algorithm, ...
Developed by Professor Sanjay Mehrotra, the Sliding Scale AdaptiVe Expedited (SAVE) algorithm could improve organ allocation ...
Abstract: Radio echo sounding (RES), a powerful remote geophysical technique, provides excellent insight into the characterization of subglacial environment. However, existing time-domain RES imaging ...
Abstract: In this article, the parameter identification problem of finite impulse response (FIR) systems with quantized inputs and binary outputs is studied when it is under data tamper attacks.
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U.S. Army Sgt. Jeffrey Davis, an electronic warfare specialist with the 3rd Infantry Brigade Combat Team, 25th Infantry Division, operates a dismounted spectrum awareness system during Exercise ...
Abstract: This study addresses the challenge of precise control of the maglev system under the condition of rapid time-varying dynamics and large time delay. Maglev technology has been applied in many ...
Spotting a needle in a haystack is easy compared to Yuejie Chi’s typical day. As a leading researcher on the underpinnings of large language models (LLMs) and other machine learning systems, Chi — the ...
Abstract: The increasing prevalence and growing size of data in modern applications have led to high costs for computation in traditional processor-centric computing systems [1–20]. To mitigate these ...
Abstract: Regular inspection and maintenance of wind turbine blades are crucial to effectively avoid potential structural failures. By utilizing drone inspection shots, a substantial number of ...
Abstract: Building integrated energy systems (BIESs) are pivotal for enhancing energy efficiency by accounting for a significant proportion of global energy consumption. Two key barriers that reduce ...
Abstract: This study proposes a hybrid framework for optimizing last-mile delivery routes that combines Genetic Algorithm (GA), Integer Programming (IP), and machine learning (ML)-based clustering and ...