Watermarking Techniques Using Least Significant Bit Algorithm for Digital Image Security Standard Solution- Based Android by Ari Muzakir, Mailan Habibi

“…The positive side of the ease of rapid deployment is the owner of that image deploys digital image files to various sites in the world address. While the downside is that if there is no copyright that serves as protector of the image it will be very easily recognized ownership by other parties. …”
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Multiobjective Cognitive Cooperative Jamming Decision-Making Method Based on Tabu Search-Artificial Bee Colony Algorithm by Fang Ye, Fei Che, Lipeng Gao

“…Most of the existing studies about jamming decision only pay attention to the jamming benefits, while ignoring the jamming cost. In addition, the conventional artificial bee colony algorithm takes too many iterations, and the improved ant colony (IAC) algorithm is easy to fall into the local optimal solution. …”
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Variable Step-Size Hybrid Filtered-x Affine Projection Generalized Correntropy Algorithm for Active Noise Control by Zhaoqing Mu, Ying Gao, Xinyu Guo, Shifeng Ou

“…Consequently, ANC systems necessitate a high-performance algorithm as a core component. In this process, the variable step-size strategy is the main approach for enhancing the ANC algorithm’s performance but ensuring robustness while improving performance remains a challenge. …”
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Artificial Intelligence and Architectural Design Before Generative AI: Artificial Intelligence Algorithmics Approaches 2000–2022 in Review by Ana Cocho‐Bermejo

“…Through a Bibliometric review of publications indexed in Scopus, Web of Science, and CumInCAD, the research examines the adoption of specific algorithmic approaches: Genetic Algorithms (GAs), Artificial Neural Networks (ANNs), and Agent‐Based Systems(ABS). …”
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Determining Point of Economic Cattle Milk Production through Machine Learning and Evolutionary Algorithm for Enhancing Food Security by Sonam Bhardwaj, Ayon Tarafdar, Manoj Baghel, Triveni Dutt, Gyanendra Kumar Gaur

“…Artificial neural networks (ANNs) in conjugation with genetic algorithms (GAs) have been demonstrated to be an effective tool for system modelling and optimization in a variety of applications. …”
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A Centralized–Distributed Joint Routing Algorithm for LEO Satellite Constellations Based on Multi-Agent Reinforcement Learning by Licheng Xia, Baojun Lin, Shuai Zhao, Yanchun Zhao

“…In MARL-JR, ground stations initialize Q-tables and upload them to satellites, reducing onboard computational overhead while enhancing routing performance. Compared to traditional centralized algorithms, MARL-JR achieves faster link-state awareness and adaptation; compared to distributed algorithms, it delivers superior initial performance due to optimized pre-training. …”
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Cumulative Rainfall Radar Recalibration with Rain Gauge Data Using the Colour Pattern Regression Algorithm QGIS Plugin by Pablo Blanco-Gómez, Pau Estrany-Planas, José Luis Jiménez-García

“…In this paper, the Colour Pattern Regression (CPR) algorithm is used to recalibrate the 6 h rainfall values from RI provided by the Agencia Estatal de Meteorología (AEMET) with the observed rain gauge data, using as a case study the metropolitan area of Palma (Spain).…”
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Validation of an AI-Assisted Terrain-Aided Navigation Algorithm Using Real-World Flight Test Instrumentation Data by Ümit Can Bekar, Bilgehan Tanyeri, Ibrahim Enes Uslu, Nuri Arda Gungor, Gokhan Inalhan

“…A significant development is the AI model’s capacity to independently alternate between the resource-intensive search algorithm and a set of filters, thereby maintaining navigational accuracy while facilitating in-flight execution without supplementary hardware requirements. …”
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To investigate the impact of revised diagnostic algorithm on presentation of multidrug-resistant tuberculosis cases at a referral centre in India by Sandeep Jain, Rohit Sarin, V. Vinay, Deepak Sharma, Jitendra K. Saini, Neha Gupta

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A low-carbon scheduling method based on improved ant colony algorithm for underground electric transportation vehicles by Yizhe Zhang, Yinan Guo, Yao Huang, Shirong Ge

“…To solve this problem, an improved ant colony optimization algorithm integrated with Q-learning (ACO-QL) is proposed. …”
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Comparison of K-Means and K-Medoids Algorithms for Clustering Poverty Data in South Sumatra Using DBI Evaluation by M. Dandi Akhda, Ken Ditha Tania

“…Data clustering is done by both algorithms and then the performance value is Evaluated using Davies Bouldin Index DBI shows that K-Means gives better results, with a lower DBI value (0.204 at K=5) while K-Medoids has a DBI value of 0.239 at K=5, which indicates more compact and separated clusters. …”
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Developing a hybrid machine learning model for employee turnover prediction: Integrating LightGBM and genetic algorithms by Hojat Talebi, Amid Khatibi Bardsiri, Vahid Khatibi Bardsiri

“…The GA component identifies the most relevant features, while LightGBM ensures high prediction accuracy and computational efficiency. …”
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Combining the Improved RGB Water-Filling Algorithm With Penumbra Removal Technique for Shadow Removal From Digitized Images by You-Chang Liu, Cheng-Ta Chuang

“…The proposed method introduces an RGB water-filling algorithm specifically designed to address soft shadows, optimized with matrix operations and a streamlined processing workflow that substantially enhance the computational efficiency over existing methods. …”
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User Analysis of Info BMKG Application in The Perspective of Human Computer Interaction Using Support Vector Machine Algorithm by Ilham Fannani, Enggar Novianto, Alfin Syarifuddin Syahab

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FOX-TSA hybrid algorithm: Advancing for superior predictive accuracy in tourism-driven multi-layer perceptron models by Sirwan A. Aula, Tarik A. Rashid

“…As the volume and complexity of tourism data increase, there is a need for optimization methods that enhance model training while effectively handling intricate datasets. This study proposes a hybrid FOX-TSA algorithm to optimize the MLP model. …”
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An Action Evaluation Method for Virtual Reality Simulation Power Training Based on an Improved Dynamic Time Warping Algorithm by Qingjie Xu, Yong Liu, Shuo Li

“…This method significantly reduces computational complexity while improving scoring accuracy and consistency. …”
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Integrated energy trading algorithm for source-grid-load-storage energy system based on distributed machine learning by Zhiwei Cui, Changming Mo, Qideng Luo, Chunli Zhou

“…Compared with other methods with a sensitivity of 25%, the sensitivity level of the improved algorithm was above 75%. When the accuracy of other algorithms was 50%, the improved algorithm was above 80%. …”
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A Rapid Convex Programming Method for Air-to-Air Missile Trajectory Based on Improved Trust-Region Algorithm by Zeng Yuwen, Zhang Huijun, Liao Xueyang

“…On this basis, this paper analyzes the traditional trust-region algorithm and proposes an improved algorithm. It adopts a two-phase solution strategy: the first phase addresses the terminal constraint violation caused by the reference trajectories, while the second phase achieves rapid convergence to the optimal trajectory, to significantly improve the solving efficiency and convergence stability of the convex optimization problem. …”
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Robust-tuning machine learning algorithms for precise prediction of permeability impairment due to CaCO3 deposition by Mohammad Javad Khodabakhshi, Masoud Bijani, Masoud Hasani

“…Instead of creating new algorithms, the study focuses on refining existing ones to make them more effective for the field. …”
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Fault Diagnosis System of Induction Motors Based on Multiscale Entropy and Support Vector Machine with Mutual Information Algorithm by Shuang Pan, Tian Han, Andy C. C. Tan, Tian Ran Lin

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