Advancing computational evaluation of adsorption via porous materials by artificial intelligence and computational fluid dynamics by Heyder Mhohamdi, Usama S. Altimari, Krunal Vaghela, V. Vivek, Sarbeswara Hota, Devendra Singh, Mahesh Manchanda, Shirin Shomurotova, Prakhar Tomar, Mohammad Mahtab Alam

“…Abstract A combination of artificial intelligence (AI) and computational fluid dynamics was carried out to advance the modeling of adsorption separation processes. …”
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SGO enhanced random forest and extreme gradient boosting framework for heart disease prediction by Anima Naik, Ghanshyam G. Tejani, Seyed Jalaleddin Mousavirad

“…This study proposes a heart disease prediction (HDP) model employing Random Forest (RF) and eXtreme Gradient Boosting (XGB) classifiers. Both models are further optimized through hyperparameter tuning using the Social Group Optimization (SGO) algorithm. …”
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Classification of Toraja, Batak and Ambon Languages using Decision Tree and Gradient Boost methods by Bileam Mangalla, Suharyadi Suharyadi

“…This study aims to identify and classify the Toraja, Batak, and Ambon languages using machine learning-based computational methods. The techniques employed include Decision Tree and Gradient Boost algorithms to evaluate the accuracy of each model. …”
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An Efficient Optimization Algorithm for Measurement Matrix Based on SVD and Improved Nesterov Accelerated Gradient by B. ZHANG, R. YI, Z. WANG, J. PU, . Y. SUN

“…An improved Nesterov accelerated gradient algorithm is derived to update the measurement matrix, which can improve the convergence behavior. …”
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Projected Gradient Descent Method for Tropical Principal Component Analysis over Tree Space by Ruriko Yoshida

“…With computational experiments against Markov Chain Monte Carlo (MCMC) samplers, we show that our projected gradient descent method yields a lower sum of tropical distances between observations and their projections onto the estimated best-fit tropical polytope, compared with the MCMC-based approach.…”
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Non-Iterative Phase-Only Hologram Generation via Stochastic Gradient Descent Optimization by Alejandro Velez-Zea, John Fredy Barrera-Ramírez

“…In this work, we explored, for the first time, to the best of our knowledge, the potential of stochastic gradient descent (SGD) to optimize random phase functions for application in non-iterative phase-only hologram generation. …”
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Thermal and ammonia concentration gradients in a rabbit barn with two ventilation system designs by Jorge Flores-Velázquez, Federico Villarreal-Guerrero, Waldo Ojeda, Agustín Ruíz-García

“…Such modification substantially decreased the concentration gradients of temperature and ammonia.…”
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Predictive modeling of longitudinal cracking in CRCP using PSO-tuned gradient boosting machines by Ali Alnaqbi, Ghazi G. Al-Khateeb, Waleed Zeiada

“…Despite the model’s exceptional predictive accuracy, computational demands and data availability may limit its practical application. …”
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Spline adaptive filtering algorithm based on different iterative gradients: Performance analysis and comparison by Sihai Guan, Bharat Biswal

“…Two novel spline adaptive filtering (SAF) algorithms are proposed by combining different iterative gradient methods, i.e., Adagrad and RMSProp, named SAF-Adagrad and SAF-RMSProp, in this paper. …”
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Differential gene expression in trabecular bone osteocytes is related to the local strain and strain gradient by Meghana Machireddy, Sarah Nano, Lucas Debiase, Jonathan Lewis, Sara Cole, Jun Li, Glen L. Niebur

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Dynamic Gradient Descent and Reinforcement Learning for AI-Enhanced Indoor Building Environmental Simulation by Xiaolong Chen, Haohao Yang, Hongfeng Zhang, Cora Un In Wong

“…We propose a novel dynamic gradient descent (DGD) framework integrated with reinforcement learning (RL) for AI-enhanced indoor environmental simulation, addressing the limitations of static optimization in dynamic settings. …”
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LDA-SCGB: inferring lncRNA-disease associations based on condensed gradient boosting by Chengqiu Dai, Linna Wang, Yingwei Deng, Xuzhu Gao, Jingyu Zhang

“…Inferring new lncRNA-disease associations (LDAs) not only promotes us to better understand these complex biological processes, but also provides new options for the diagnosis and prevention of diseases. Results A novel computational model, LDA-SCGB, is proposed to predict new LDAs. …”
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An AutoEncoder enhanced light gradient boosting machine method for credit card fraud detection by Lianhong Ding, Luqi Liu, Yangchuan Wang, Peng Shi, Jianye Yu

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Advancing Spike Sorting Through Gradient‐Based Preprocessing and Nonlinear Reduction With Agglomerative Clustering by Mohammad Amin Lotfi, Fatemeh Zareayan Jahromy, Mohammad Reza Daliri

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Cooperative sensing, communication and computation resource allocation in mobile edge computing-enabled vehicular networks by Zhenyu Li, Yuchuan Fu, Mengqiu Tian, Changle Li

“…To address this issue, we propose a cooperative power, bandwidth and computation resource allocation (RA) scheme in this paper, maximizing the overall utility of Cramér-Rao bound (CRB) for sensing accuracy, computation latency for processing sensing information, and communication and computation latency for computational tasks. …”
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Gradient Boosting Application in Forecasting of Performance Indicators Values for Measuring the Efficiency of Promotions in FMCG Retail by Joanna Henzel, Marek Sikora

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Weighted Multimodal Biometric Recognition Algorithm Based on Histogram of Contourlet Oriented Gradient Feature Description by Xinman Zhang, Dongxu Cheng, Xuebin Xu

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Image Reconstruction Algorithm Based on Spectral Projected Gradient Pursuit for Electrical Capacitance Tomography by WANG Li-li, LIU Hong-bo, CHEN De-yun, CHEN Feng

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A Self-Adjusting Spectral Conjugate Gradient Method for Large-Scale Unconstrained Optimization by Yuanying Qiu, Dandan Cui, Wei Xue, Gaohang Yu

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Prediction of Imbalance Prices Through Gradient Boosting Algorithms: An Application to the Greek Balancing Market by Konstantinos Plakas, Nikos Andriopoulos, Dimitrios Papadaskalopoulos, Alexios Birbas, Efthymios Housos, Ioannis Moraitis

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