Predicting pressure gradient using artificial intelligence for transcatheter aortic valve replacementCentral MessagePerspective by Anoushka Dasi, BS, Beom Lee, MS, Venkateshwar Polsani, MD, FACC, FASE, Pradeep Yadav, MD, FACC, Lakshmi Prasad Dasi, PhD, FACC, FAIMBE, Vinod H. Thourani, MD, FACS, FACC

“…The objective is to develop artificial intelligence to predict the post–transcatheter aortic valve replacement aortic valve pressure gradient and aortic valve area from preprocedural echocardiography and computed tomography data. …”
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Patterns and trends of heat and wildfire smoke indicators across rural–urban and social vulnerability gradients in Idaho by Seyd Teymoor Seydi, Jennifer Pierce, John T Abatzoglou, Anna Radin, Ethan Sims, Hilary Flint, Stephanie Wicks, Eric Henderson, Bhaskar Chittoori, Mojtaba Sadegh

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Comparing 2D and 3D Feature Extraction Methods for Lung Adenocarcinoma Prediction Using CT Scans: A Cross-Cohort Study by Margarida Gouveia, Tânia Mendes, Eduardo M. Rodrigues, Hélder P. Oliveira, Tania Pereira

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Privacy preserving federated learning with convolutional variational bottlenecks by Daniel Scheliga, Patrick Mäder, Marco Seeland

“…Abstract Gradient Inversion (GI) attacks are a ubiquitous threat in Federated Learning as they exploit gradient leakage to reconstruct supposedly private training data. …”
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Mathematical Optimization in Machine Learning for Computational Chemistry by Ana Zekić

“…This review presents a structured overview of optimization techniques used in ML for computational chemistry, including gradient-based methods (e.g., SGD and Adam), probabilistic approaches (e.g., Monte Carlo sampling and Bayesian optimization), and spectral methods. …”
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An Efficient Hybrid 3D Computer-Aided Cephalometric Analysis for Lateral Cephalometric and Cone-Beam Computed Tomography (CBCT) Systems by Laurine A. Ashame, Sherin M. Youssef, Mazen Nabil Elagamy, Sahar M. El-Sheikh

“…In this research, a computerized system is developed to automate the tasks of orthodontics evaluation during 2D and Cone-Beam Computed Tomography (CBCT or 3D) systems measurements. …”
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Evaluating Adversarial Robustness of No-Reference Image and Video Quality Assessment Models with Frequency-Masked Gradient Orthogonalization Adversarial Attack by Khaled Abud, Sergey Lavrushkin, Dmitry Vatolin

“…This paper addresses this gap by proposing FM-GOAT (Frequency-Masked Gradient Orthogonalization Attack), a novel white box adversarial method tailored for no-reference IQA models. …”
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Three-Dimensional Pulsed-Laser Imaging via Compressed Sensing Reconstruction Based on Proximal Momentum-Gradient Descent by Han Gao, Guifeng Zhang, Min Huang, Yanbing Xu, Yucheng Zheng, Shuai Yuan, Huan Li

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A modulus-based modified multivariate spectral gradient projection method for solving the horizontal linear complementarity problem by Ting Lin, Hong Zhang, Chaofan Xie

“…Additionally, numerical examples were included to illustrate the practicality and effectiveness of the modulus-based enhanced multivariate spectral gradient projection method in computational settings.…”
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Model Predictive Control of Nonlinear System Based on GA-RBP Neural Network and Improved Gradient Descent Method by Youming Wang, Didi Qing

“…The designed MPC strategy can avoid information loss while linearizing the controlled system and computing the Hessian matrix and its inverse matrix. …”
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Multi-scale encoding of amino acid sequences for predicting protein interactions using gradient boosting decision tree. by Chang Zhou, Hua Yu, Yijie Ding, Fei Guo, Xiu-Jun Gong

“…Nowadays a number of computational approaches have been developed to effectively and accurately predict protein interactions. …”
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Enhancing navigation performance in unknown environments using spiking neural networks and reinforcement learning with asymptotic gradient method by Xiaode Liu, Yufei Guo, Yuanpei Chen, Jie Zhou, Yuhan Zhang, Weihang Peng, Xuhui Huang, Zhe Ma

“…Considering the inherent lower computational cost of SNN, this work contributes to advancing the fusion of SNN and reinforcement learning techniques for energy-efficient autonomous navigation tasks in real-world mapless scenarios.…”
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Batch gradient based smoothing L 2/3 regularization for training pi-sigma higher-order networks by Khidir Shaib Mohamed, Raed Muhammad Albadrani, Ekram Adam, Yan Xiong

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Digits Recognition for Arabic Handwritten through Convolutional Neural Networks, Local Binary Patterns, and Histogram of Oriented Gradients by Bushra Mahdi Hasan, Zahraa Jasim Jaber, Ahmad Adel Habeeb

“…In addition, a Histogram of Oriented Gradients (HOG) is a feature extraction technique that is used in computer vision and image processing for the purpose of object detection. …”
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Mobile robot path planning using deep deterministic policy gradient with differential gaming (DDPG-DG) exploration by Shripad V. Deshpande, Harikrishnan R, Babul Salam KSM Kader Ibrahim, Mahesh Datta Sai Ponnuru

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Gradient-Enhanced Kriging-Based Parallel Efficient Global Optimization Algorithm and Its Application in Aerodynamic Shape Optimization by Hang Fu, Qingyu Wang, Takuji Nakashima, Asahi Kawasaki, Chenguang Lai, Keigo Shimizu, Rahul Bale, Makoto Tsubokura

“…The parallel efficient global optimization (EGO) algorithm was developed to leverage the rapid advancements in high-performance computing. However, conventional parallel EGO algorithm based on ordinary kriging (OK) model faces limitations when applied to complex, nonlinear, and high-dimensional engineering optimization problems, as OK model relies only on sample point locations, restricting the available training information. …”
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Testing an inverse modeling approach with gradient boosting regression for stroke volume estimation using patient thermodilution data by Vasiliki (Vicky) Bikia, Dionysios Adamopoulos, Dionysios Adamopoulos, Dionysios Adamopoulos, Marco Roffi, Marco Roffi, Georgios Rovas, Stéphane Noble, Stéphane Noble, François Mach, François Mach, Nikolaos Stergiopulos

“…The significant reduction in computational time of our method for SV assessment should make it suitable for real-time clinical applications.…”
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Automated approach for fetal and maternal health management using light gradient boosting model with SHAP explainable AI by Nisreen Innab, Shtwai Alsubai, Ebtisam Abdullah Alabdulqader, Aisha Ahmed Alarfaj, Muhammad Umer, Silvia Trelova, Imran Ashraf

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Deep deterministic policy gradient - model-agnostic meta-learning framework: Efficient adaptation in continuous control tasks by Ebrahim Hamid Sumiea, Said Jadid Abdulkadir, Hitham Seddig Alhussian, Safwan Mahmood Al-Selwi, Alawi Alqushaibi, Mohammed Gamal Ragab, Abdul Muiz Fayyaz

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Gradient Boosted Trees Predictive Models for Surface Roughness in High-Speed Milling in the Steel and Aluminum Metalworking Industry by Victor Flores, Brian Keith

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