Exploring f(Q) gravity through model-independent reconstruction with genetic algorithms by Redouane El Ouardi, Amine Bouali, Safae Dahmani, Ahmed Errahmani, Taoufik Ouali

“…In this paper, we use a machine learning technique, specifically genetic algorithms, to reconstruct the functional form of f(Q) gravity in a model-independent manner. …”
Get full text

Research on Fourier Transform Spectral Phase Correction Algorithm Based on CTKB-NCM by Xiong Wang, Chunhui Yan, Zimin Huo, Pengzhang Dai, Dong Yao

“…Existing phase correction algorithms demonstrate insufficient precision in addressing both linear phase and instrumental phase components, resulting in limited applications for the restored spectra in the field of precision measurement. …”
Get full text

Graph Knowledge-Enhanced Iterated Greedy Algorithm for Hybrid Flowshop Scheduling Problem by Yingli Li, Biao Zhang, Kaipu Wang, Liping Zhang, Zikai Zhang, Yong Wang

“…The numerical evaluation with well-known benchmarks verifies that the performance of the graph knowledge-enhanced algorithm is superior to that of a prior algorithm, and seeks new best solutions for 183 hard instances.…”
Get full text

A Model For Optimization of Knowledge Management Outsourcing Decision Using Genetic Algorithm by Ameneh Khadivar, Fatemeh Abbasi, Sheyda Akbarian

“…These recommendations aim to optimize the decision-making process and provide valuable insights for both researchers and managers in the field.Originality/value: This study utilizes genetic algorithms and a fuzzy approach to analyze and evaluate Knowledge Management outsourcing providers, an area that has received limited attention in the existing literature.…”
Get full text

An Investigation of the Effectiveness of Facebook and Twitter Algorithm and Policies on Misinformation and User Decision Making by Jordan Harner, Lydia Ray, Florence Wakoko-Studstill

“…Prominent social media sites such as Facebook and Twitter use content and filter algorithms that play a significant role in creating filter bubbles that may captivate many users. …”
Get full text

Deep Learning-Based Algorithm for the Classification of Left Ventricle Segments by Hypertrophy Severity by Wafa Baccouch, Bilel Hasnaoui, Narjes Benameur, Abderrazak Jemai, Dhaker Lahidheb, Salam Labidi

“…This study aims to propose an automated framework for the quantification of LVH extent and the classification of myocardial segments according to hypertrophy severity using a deep learning-based algorithm. The proposed method was validated on 133 subjects, including both healthy individuals and patients with LVH. …”
Get full text

Identification and Estimation of Landslide Erosion Rate Based on Particle Swarm Optimization Algorithm by GENG Haopeng, XU Ziyi, GUO Yu, ZHANG Jian

“…The landslides predominantly occurred on both sides of the river valleys near the Yarlung Tsangpo River's Great Bend. …”
Get full text

Design and control algorithm of a motion sensing-based fruit harvesting robot by Ziwen CHEN, Yuhang CHEN, Hui LI, Pei WANG

Get full text

Structural Parameter Identification Using Multi-Objective Modified Directional Bat Algorithm by LIU Li-jun, LIN Ying-hai, SU Yong-hui, LEI Ying

“…These results highlight the algorithm’s robustness and precision in handling noisy data. …”
Get full text

Evaluation of Automated Object-Detection Algorithms for Koala Detection in Infrared Aerial Imagery by Laith A. H. Al-Shimaysawee, Anthony Finn, Delene Weber, Morgan F. Schebella, Russell S. A. Brinkworth

“…This paper introduces a biologically inspired detection algorithm to locate koalas in eucalyptus plantations and evaluates its performance against ten other detection techniques, including both image processing and neural-network-based approaches. …”
Get full text

MOBCSA: Multi-Objective Binary Cuckoo Search Algorithm for Features Selection in Bioinformatics by Hudhaifa Mohammed Abdulwahab, S. Ajitha, Mufeed Ahmed Naji Saif, Belal Abdullah Hezam Murshed, Fahd A. Ghanem

“…MOBCSA utilizes an S-shaped transfer function for transforming the algorithm’s search space from a continuous to a binary search space. …”
Get full text

A Novel DNA Techniques to Strengthen Cryptographic Permutation Tables in Encryption Algorithm by Nik Azura Nik Abdullah, Nur Hafiza Zakaria, Azni Haslizan Ab Halim, Abdul Alif Zakaria, Samsul Ariffin Abdul Karim

“…This hybrid approach seeks to leverage both domains to enhance security measures and explore new avenues for encryption and data protection. …”
Get full text

YOLOv8-EMSC: A lightweight fire recognition algorithm for large spaces by Deng Li, Tan Yang, Zhou Jin, Wu Si-qi, Liu Quan-yi

“…Many existing target detection algorithms are characterized by substantial model sizes. …”
Get full text

Improving the Processing Algorithm of Beijing MST Radar Power Spectral Density Data by Chen Ze, Tian Yufang, Lü Daren

“…Under precipitation weather condition, the mean bias and RMSE of horizontal wind speed between the improved algorithm derived data and radiosonde data at different height are both less than values between radar products and radiosonde data. …”
Get full text

Parameter Optimization of MALDI-TOF MS Based on Improved Whale Optimization Algorithm by Yu-peng ZHANG, Yu-gong DANG, Hui-yuan YANG, Zhi-gang ZHOU, Gao-hang JIANG

“…To address the shortcomings of the Whale optimization algorithm, including slow convergence speed, low precision and susceptibility to local optima, improvements were made on the convergence factor, inertia weight and position update strategy. …”
Get full text

Fault location and isolation technology for power grid automation based on intelligent algorithms by Qi Guo, Fuhe Wang, Suxia Cheng, Ke Wang, Yifan Zhang

“…Problem statement Conventional fault management methods, like rule-based and heuristic methods, have limitations in both accuracy and real-time adaptability. To address these issues, this study proposes and assesses two intelligent algorithms: the Fault Localization Algorithm (FLA) and the Fault Isolation Algorithm (FIA). …”
Get full text

Research on kd-tree Cache Optimization Based on Particle Index Sorting Algorithm by 张挺, 林震寰, 杨丁颖, 王宗锴, 陈轶凡

“…In this context, MAD-index-sort dynamically adapts to the shifting particle arrangement, reducing cache miss rates by 20%, while simultaneously cutting the total computational time by 15% compared to the unsorted <italic>kd-tree</italic> method. The algorithm is versatile enough to handle both static and dynamic conditions, making it highly reliable for real-time applications where particle distributions tend to change unpredictably. …”
Get full text

Algorithm for Cloud Particle Phase Identification Based on Bayesian Random Forest Method by Fu Tao, Yang Zhipeng, Tao Fa, Hu Shuzhen, Lu Yuxiang, Fu Changqing

“…Statistical analysis shows that Bayesian Random Forest Method achieves a cloud particle phase state recognition accuracy of 96% under both rainy and non-rainy weather conditions. This algorithm can be applied to decision-making services for weather processes such as snowfall, enabling minute-level monitoring of precipitation types, phase transition timings, and evolution processes, thereby addressing the issue of automatic precipitation identification in operational settings.…”
Get full text

Cancellation of cloud shadow effects in the absorbing aerosol index retrieval algorithm of TROPOMI by V. J. H. Trees, V. J. H. Trees, P. Wang, P. Stammes, L. G. Tilstra, D. P. Donovan, D. P. Donovan, A. P. Siebesma

“…In addition, we simulate the measured cloud shadow impact on the AAI with our newly developed three-dimensional (3D) radiative transfer algorithm MONKI. Both the measurements and simulations show that the average cloud shadow impact on the AAI is close to zero (0.06 and 0.16, respectively). …”
Get full text

Can machine-learning algorithms improve upon classical palaeoenvironmental reconstruction models? by P. Sun, P. B. Holden, H. J. B. Birks, H. J. B. Birks

Get full text