In this study, we propose an exact method for optimizing a linear function over the efficient set of a multi-objective transportation problem (MOTP). This type of problem arises when a decision maker ...

This paper delves into how to collaboratively reduce emissions of sulfur dioxide, nitrogen oxides, and carbon dioxide through rational energy consumption and governance investment strategies with ...

A simple at-home program with daily exercise, airway clearance, and nurse support helps patients breathe easier, offering new hope for millions living with this chronic lung disease. Study: Role of ...

Engineers at the UCLA Samueli School of Engineering introduced a framework for universal point spread function (PSF) engineering, enabling the synthesis of arbitrary spatially varying 3D PSFs using ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...

Cryptographic hash functions secure data by providing a unique fixed-length output for each input. These functions are essential in blockchain for data integrity and secure transactions. Understanding ...

Safety+ offers engineers access to standard productivity tools for programming. Source: B&R B&R, a division of ABB, introduces Safety+, an innovative open approach to programming safety functions that ...

How the e πi processor trivializes NP-hard problems. How to incorporate and program the eπi processor. A novel processor has been introduced by Indlewylde Corporation that’s said to provide phenomenal ...

Abstract: This article considers the problem of designing a continuous-time dynamical system that solves a constrained nonlinear optimization problem and makes the feasible set forward invariant and ...