Writing my own virtualized loader is something I’ve been wanting to do since I first read Microsoft’s deep dive on FinFisher’s multi-layered VM obfuscation back in 2018. FinFisher didn’t just use one ...

Abstract: This article studies the defense energy allocation problem for networked control systems based on a Stackelberg game framework. Different from the existing works, an active false data ...

Abstract: This work proposes a novel stochastic model predictive control (SMPC) approach based on mixed-integer quadratic programming (MIQP) for discrete-time linear time-invariant systems subject to ...

Subscribe! Want more math video lessons? Visit my website to view all of my math videos organized by course, chapter and section. The purpose of posting my free video tutorials is to not only help ...

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Typical objectives include maximizing profit or minimizing cost, subject to technological, financial, or capacity constraints. When both the objective function and all constraints are linear, such ...

Our analysis reveals significant geographic opportunities for meal reallocation across SF. The map below plots all 40 meal distribution sites with embedded bar charts comparing three allocation ...

NVIDIA is generating massive cash flows from surging AI chip demand but faces capital allocation challenges. NVDA’s $60B cash pile is growing, with limited high-ROE internal investment opportunities ...

Like the rest of its Big Tech cadre, Google has spent lavishly on developing generative AI models. Google’s AI can clean up your text messages and summarize the web, but the company is constantly ...

This paper presents a novel approach to the joint optimization of job scheduling and data allocation in grid computing environments. We formulate this joint optimization problem as a mixed integer ...

As consultants Jara Dean-Coffey and Jill Casey noted in their recent paper “Strategy for Now,” published at The Foundation Review: “Amid growing desires to integrate and embody practices aligned with ...