Abstract: This study employs an LSTM model to accurately predict future cargo volumes in logistics sorting centers, and subsequently develops a linear programming model based on these predictions to ...

Background: Plant-based diets with reduced animal protein intake are increasingly recommended for health and sustainability reasons that have potential implications for nutrient intake, including ...

Abstract: Reasonable allocation and utilization of resources in modern industrial production is the key to improve production efficiency and reduce costs. As an effective mathematical optimization ...

Human-centric innovations, like virtual and augmented reality (VR/AR), IoT-driven adaptive systems, and genetic algorithms ...

The leading approach to the simplex method, a widely used technique for balancing complex logistical constraints, can’t get any better.

SMi Group reports: Alina Alexeenko of Purdue University presenting LyoHub's overview and strategies for the future of lyophilization and alternatives to conventional methods Optimization of ...

Dr. James McCaffrey presents a complete end-to-end demonstration of linear regression with two-way interactions between predictor variables. Standard linear regression predicts a single numeric value ...

Achronyme aims to replace expensive proprietary engineering software with a modern, web-based, open-source alternative. We're building a comprehensive toolbox that empowers engineering students and ...

This project implements the Minimum Edit Distance (MED) algorithm using Dynamic Programming (DP) in C++. It consists of two main stages: Forward Stage (Forward) – builds the DP table from top-left to ...

The focus on Indian knowledge systems in the UGC’s proposed mathematics curriculum is better suited to other disciplines such ...

Objective: In this study we investigated the benefits of fine tuning with supervised fine tuning (SFT) and direct preference optimization (DPO) across a range of LLM applications for medicine Methods: ...