Application of Adaptive Search Window-Based Nonlocal Total Variation Filter in Low-Dose Computed Tomography Images: A Phantom Study by Hajin Kim, Bo Kyung Cha, Kyuseok Kim, Youngjin Lee

“…Computed tomography (CT) imaging using low-dose radiation effectively reduces radiation exposure; however, it introduces noise amplification in the resulting image. …”
Get full text

The Application of Artificial Digital Models in X-Ray Computed Tomography (CT) of the Core in Solving the Problem of Binarization of the Void Space of Reservoir Rocks by O. A. Melkishev, Y. V. Savitsky, S. V. Galkin

“…Using regression and correlation methods, we developed a model to estimate the optimal boundary value for X-ray density in void space allocation.We proposed an algorithm for determining and applying this value in the analysis of core X-ray CT data.This model was tested on real samples that were not used in the development of the forecast model. …”
Get full text

Review of Swarm Intelligence for Solving Symmetric Traveling Salesman Problem by Awaz Ahmad Shaban, Jayson A. Dela Fuente, Merdin Shamal Salih, Resen Ismail Ali

“…Travels Salesman Problem (TSP) is an NP-Hard problem in which a salesman wants to visit all cities and return to the start city in an optimal time. In this article we are applying most efficient heuristic based Swarm Intelligence algorithms which are Particle Swarm Optimization (PSO), Artificial Bee Colony (ABC), Bat algorithm (BA), and Ant Colony Optimization (ACO) algorithm to find a best solution for TSP which is one of the most well-known NP-Hard problems in computational optimization. …”
Get full text

Multi-Level Thresholding Color Image Segmentation Using Modified Gray Wolf Optimizer by Pei Hu, Yibo Han, Zheng Zhang

Get full text

Distributed Optimization for VPP and Distribution Network Operation Considering Uncertainty and Green Certificate Market by Jinfeng WANG, Jinpeng LI, Yinliang XU, Haitao LIU, Jinxiong HE, Jianyuan XU

“…The distributed algorithm has a good convergence performance and can better utilize computing resources compared to the centralized algorithm.…”
Get full text

Optimization of trusted wireless sensing models based on deep reinforcement learning for ISAC systems by Hao Zhang, Yi Jing, Wenhui Xu, Ronghui Zhang

“…As the number of edge sensing nodes increases, the likelihood of encountering untrusted nodes also rises, further limiting the performance of traditional federated learning aggregation algorithms. To address these issues, the paper proposes a DRL‐based strategy aimed at optimizing the node selection process in federated learning environments. …”
Get full text

Codesign of Transmit Waveform and Receive Filter with Similarity Constraints for FDA-MIMO Radar by Qiping Zhang, Jinfeng Hu, Xin Tai, Yongfeng Zuo, Huiyong Li, Kai Zhong, Chaohai Li

“…The problem is projected into it and transformed into an unconstrained optimization problem. Finally, the Riemannian limited-memory Broyden–Fletcher–Goldfarb–Shanno (RL-BFGS) algorithm is employed to optimize the variables in parallel. …”
Get full text

Lattice-Hopping: A Novel Map-Representation-Based Path Planning Algorithm for a High-Density Storage System by Shuhan Zhang, Yaqing Song, Ziyu Chen, Guo Chen, Yongxin Cao, Zhe Gao, Xiaonong Xu

“…Optimal path planning algorithms offer substantial benefits in high-density storage (HDS) systems in modern smart manufacturing. …”
Get full text

Optimizing Sensor Placement for Event Detection: A Case Study in Gaseous Chemical Detection by Priscile Fogou Suawa, Christian Herglotz

Get full text

Exploring the best fit: A comparative analysis of AFINN, Textblob, VADER, and Pattern on Arabic reviews for optimal dictionary extraction by Shakeel Ahmad, Sheikh Muhammad Saqib, Asif Hassan Syed, Nashwan Alromema, Ali Kararay

Get full text

An application of potential function in robot path planning and three optimized formulas for equivalent resistance by Jianwei Dai, Xiaoyu Jiang, Yanpeng Zheng, Xing Zhang, Zhaolin Jiang

“…These findings provided new perspectives and tools for the computation of resistor networks and the design of path planning algorithms.…”
Get full text

Optimization of Ground Station Energy Saving in LEO Satellite Constellations for Earth Observation Applications by Francesco Valente, Francesco Giacinto Lavacca, Marco Polverini, Tiziana Fiori, Vincenzo Eramo

“…After validating the GSESH algorithm by means of a comparison with the results of the optimal solution, we have compared it to a benchmark algorithm in a typical scenario and we have verified that the GSESH algorithm allows for energy saving in the ground station up to 40% higher than the one achieved with the benchmark solution.…”
Get full text

Generalizable Solar Irradiance Prediction for Battery Operation Optimization in IoT-Based Microgrid Environments by Ray Colucci, Imad Mahgoub

Get full text

Robust predictive framework for diabetes classification using optimized machine learning on imbalanced datasets by Inam Abousaber, Haitham F. Abdallah, Hany El-Ghaish

Get full text

Enhanced Hybrid Differential Evolution for Earth-Moon Low-Energy Transfer Trajectory Optimization by Yanyun Zhang, Lei Peng, Guangming Dai, Maocai Wang

Get full text

Integrating multi-omics data to optimize immunotherapy in endometrial cancer: a comprehensive study by Xin Guan, Rongchuan Cao, Longbi Liu, Lin Ma, Ning Gao, Yanfei Yang, Mingyue Xiao, Rui Du, Yuzhe Su, Zhen Wang, Xiaofeng Liu, Lu Han

“…The present investigation endeavors to amalgamate multi-omics data in order to elucidate the determinants impacting individual immune responsiveness and enhance the optimization of immunotherapy for EC. To differentiate EC patients into non-response (NR) and response (R), multi-omics data from publicly available databases were employed in conjunction with the TIDE computational framework. …”
Get full text

Eight-Figure Pattern for Enhancing the Searching Process of Grey Wolf Optimization (Eight-GWO) by Lec. Ali Hakem Alsaeedi, Suha Muhammed Hadi, Yarub Alazzawi, Emad Badry Badry

Get full text

Automated guided vehicle (AGV) path optimization method based on improved rapidly-exploring random trees by Zhigang Ren, Anjiang Cai, Feilong Xu

“…Firstly, an adaptive step-size optimization strategy is introduced to dynamically adjust the step size during node searches, improving both the planning quality and computational efficiency of the algorithm. …”
Get full text

Optimizing Q-Learning for Automated Cavity Filter Tuning: Leveraging PCA and Neural Networks by Aghanim Amina, Otman Oulhaj, Oukaira Aziz, Lasri Rafik

“…Additionally, while intelligent algorithms can assist in tuning, they often require large volumes of simulated data, leading to high computational costs. …”
Get full text

CodonTransformer: a multispecies codon optimizer using context-aware neural networks by Adibvafa Fallahpour, Vincent Gureghian, Guillaume J. Filion, Ariel B. Lindner, Amir Pandi

Get full text