Developers are increasingly relying on large language models (LLMs) for everyday computing tasks such as fixing bugs, ...

Local AI inference at 32B-parameter quality, no cloud API required: University of Waterloo researchers released PAW on July 2 ...

Abstract: The product delivery process is a set of steps to transport a product of an origin to a delivery point. Nowadays, there are different platforms or software based on classical algorithms for ...

The global shift toward low-carbon energy infrastructure has accelerated innovations in energy storage systems (ESS), where Artificial Intelligence (AI) plays a critical role. The integration of AI ...

Fuzzy optimisation techniques have emerged as a powerful framework for addressing multi-objective programming problems under uncertainty. In classical multi-objective programming, decision-makers seek ...

Current corn sowing equipment shows relatively low levels of automation and intelligent response. Issues such as wheel slipping and chain jumping occur in seeders driven by wheels and chains, leading ...

1 Department of Basic Sciences and Humanities, University of Asia Pacific, Dhaka, Bangladesh. 2 General Education Department, City University, Dhaka, Bangladesh. 3 Department of Mathematics, ...

One night in July, 1964, the logician Lotfi Zadeh found himself alone in his parents’ New York apartment, his dinner plans cancelled. At the time, Zadeh later wrote, he was doing “a lot of thinking ...

Abstract: In this paper, we study an optimization problem of minimizing a linear function subject to fuzzy relational inequalities with the addition-min composition. This optimization setting has ...

ABSTRACT: The objective of the present study is to develop the irrigation planning model and to apply the same in the form of Two-Phase Multi Objective Fuzzy Linear Programming (TPMOFLP) approach for ...