Zobrazeno 1 - 10
of 7 021
pro vyhledávání: '"Shayan P"'
Publikováno v:
Case Studies in Thermal Engineering, Vol 53, Iss , Pp 103944- (2024)
The use of helical tubes in heat transfer appliances is desirable due to their better heat transfer characteristics, but the higher pressure drop decreases the overall performance. The variation of pitch design of a helical tube is proposed to allevi
Externí odkaz:
https://doaj.org/article/f799400800f148b0bb58f9a2539c83d8
Publikováno v:
Energy Conversion and Management: X, Vol 20, Iss , Pp 100434- (2023)
Increased waste production and poor waste management have created severe negative environmental impacts. Waste incineration is a way to produce energy and decreases environmental impacts; however, this technique cannot be considered independently as
Externí odkaz:
https://doaj.org/article/63c5cc4af6544c2fad61d24e9033f6d1
Autor:
Lenin González-Paz, Carla Lossada, Maria Laura Hurtado-León, Francelys V. Fernández-Materán, José Luis Paz, Shayan Parvizi, Rafael Eduardo Cardenas Castillo, Freddy Romero, Ysaias J. Alvarado
Publikováno v:
ACS Omega, Vol 8, Iss 8, Pp 7302-7318 (2023)
Externí odkaz:
https://doaj.org/article/fa9c93c803594113b1894ace9381a39c
Publikováno v:
Majallah-i Dānishgāh-i ’Ulūm-i Pizishkī-i Shahīd Ṣadūqī Yazd, Vol 30, Iss 6, Pp 4949-4958 (2022)
Introduction: Gestational diabetes (GDM) can affect neonatal developmental indicators. The aim of this study was to evaluate and compare the growth process of infants less than 2 years of age with GDM and healthy mothers in Rafsanjan City. Methods: T
Externí odkaz:
https://doaj.org/article/9498ceb077234e4b802ebffc0d34135e
Second-order methods are widely adopted to improve the convergence rate of learning algorithms. In federated learning (FL), these methods require the clients to share their local Hessian matrices with the parameter server (PS), which comes at a prohi
Externí odkaz:
http://arxiv.org/abs/2412.03867
This study introduces a novel methodology for managing train network disruptions across the entire rail network, leveraging digital tools and methodologies. The approach involves two stages, taking into account possible and practical features such as
Externí odkaz:
http://arxiv.org/abs/2411.14671
We investigate the thermodynamic limits on scaling fault-tolerant quantum computers due to heating from quantum error correction (QEC). Quantum computers require error correction, which accounts for 99.9% of the qubit demand and generates heat throug
Externí odkaz:
http://arxiv.org/abs/2411.12805
Large language models (LLMs) are known to exhibit demographic biases, yet few studies systematically evaluate these biases across multiple datasets or account for confounding factors. In this work, we examine LLM alignment with human annotations in f
Externí odkaz:
http://arxiv.org/abs/2411.08977
Large Language Models (LLMs) have shown potential to enhance software development through automated code generation and refactoring, reducing development time and improving code quality. This study empirically evaluates StarCoder2, an LLM optimized f
Externí odkaz:
http://arxiv.org/abs/2411.02320
Humans have the ability to reason about geometric patterns in images and scenes from a young age. However, developing large multimodal models (LMMs) capable of similar reasoning remains a challenge, highlighting the need for robust evaluation methods
Externí odkaz:
http://arxiv.org/abs/2411.00264