Why do some tumors spread while others remain localized? The mechanisms governing the metastatic potential of tumor cells ...
The Flash Crash remains a reminder of what happens when automated systems act faster than humans can interpret—and when the ...
For a project in Bangladesh, Prof. Mushfiq Mobarak and his team used machine-learning models applied to mobile phone records ...
Founded in 2014, Interview Kickstart provides structured upskilling programs for software engineers, data professionals, and ...
Existing algorithms can partially reconstruct the shape of a single tree from a clean point-cloud dataset acquired by ...
Data-Driven Optimal Output Feedback Control of Unknown System Model via Adaptive Dynamic Programming
Abstract: This paper investigates the linear quadratic optimal output feedback control problem for an unknown linear continuous-time system. Combined with adaptive dynamic programming and optimal ...
In a recent installment of the International Society of Automation’s “Ask the Automation Pros” series, Erik Cornelsen, ...
Meta has launched Meta Compute to build hundreds of gigawatts of AI infrastructure, backed by nuclear energy agreements and ...
Slomp Filho, M. (2026) Copyright in Generative Artificial Intelligence. Beijing Law Review, 17, 1-10. doi: 10.4236/blr.2026.171001 .
Objective: To develop an auxiliary diagnostic tool for schizophrenia based on multiple test variables using different machine learning algorithms. Results: Arg, TP, ALP, HDL, UA, and LDL were ...
Abstract: The Steelmaking-Continuous Casting (SCC) scheduling problem is usually regarded as a type of hybrid flow-shop scheduling problems (HFSP) with special process constraints. To research the SCC ...
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