Employing ensemble machine learning techniques for predicting the thermohydraulic performance of double pipe heat exchanger with and without turbulators
S Sammil, M Sridharan - Thermal Science and Engineering Progress, 2024 - Elsevier
In this study, advanced machine learning techniques were utilized to forecast the
thermohydraulic performance of a double pipe heat exchanger (DPHE). Key variables …
thermohydraulic performance of a double pipe heat exchanger (DPHE). Key variables …
Enhancing chernobyl disaster optimization: a novel hybridization approach with modified grey wolf optimizer for solving complex optimization problems
S Al Afghani Edsa, K Sunat - Cluster Computing, 2025 - Springer
Recent advancements in metaheuristic methods have enhanced the ability to identify global
solutions by balancing exploration and exploitation. Among these, the Chernobyl Disaster …
solutions by balancing exploration and exploitation. Among these, the Chernobyl Disaster …
[HTML][HTML] Learning Rate Tuner with Relative Adaptation (LRT-RA): Road to Sustainable Computing
Optimizing learning rates (LRs) in deep learning (DL) has long been challenging. Previous
solutions, such as learning rate scheduling (LRS) and adaptive learning rate (ALR) …
solutions, such as learning rate scheduling (LRS) and adaptive learning rate (ALR) …
Relative Learning Rate Adaptation on Loss Feedback
In the realm of Deep Learning (DL), optimization of hyperparameters like learning rate has
been one of the well-known challenges. To address this problem, previous works have …
been one of the well-known challenges. To address this problem, previous works have …
Research on the Design of Mass Recommendation System Based on Lambda Architecture
B Chen, L Zhu, D Wang… - Journal of Web …, 2021 - ieeexplore.ieee.org
In the era of big data, in order to increasing the information data for conforms to the
personalized needs of content, research scholars put forward based on the Lambda mass …
personalized needs of content, research scholars put forward based on the Lambda mass …
[HTML][HTML] 2 Design and Analysis of Mass Recommendation System
B Chen, L Zhu, D Wang, JH Cheng - journals.riverpublishers.com
Lambda architecture, as a real-time big data processing framework, is based on the
summary experience of distributed big data system operation analysis, and the ultimate goal …
summary experience of distributed big data system operation analysis, and the ultimate goal …