Predicting the Likelihood of Operational Risk Occurrence in the Banking Industry Using Machine Learning Algorithms by Hamed Naderi, Mohammad Ali Rastegar Sorkhe, Bakhtiar Ostadi, Mehrdad Kargari

“…Both algorithms demonstrated comparable performance across other modes. …”
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Multilevel thresholding of color images using globally informed artificial bee colony algorithm by Ivona Brajević, Jelena Ignjatović

“…In the onlooker phase, solutions are further refined by combining attraction to the global best solution with adaptation to promising solutions, significantly enhancing both convergence speed and solution quality. The proposed giABC, along with the ABC, its two variants and the chaotically-enhanced Rao algorithm, were tested on twelve color images from the Berkeley dataset using Otsu’s objective function. …”
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Optimizing Renewable Energy Systems Placement Through Advanced Deep Learning and Evolutionary Algorithms by Konstantinos Stergiou, Theodoros Karakasidis

“…This study introduces GREENIA, a novel artificial intelligence (AI)-powered framework for optimizing RES placement that holistically integrates machine learning (gated recurrent unit neural networks with swish activation functions and attention layers), evolutionary optimization algorithms (Jaya), and Shapley additive explanations (SHAPs). …”
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Enhanced Simultaneous Localization and Mapping Algorithm Based on Deep Learning for Highly Dynamic Environment by Yin Lu, Haibo Wang, Jin Sun, J. Andrew Zhang

“…Compared with other dynamic SLAM algorithms, the proposed algorithm has improved both accuracy and runtime.…”
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Fuzzy operator infrared image deblurring algorithm for image blurring in dragon boat races by Xiao Tang, Yuan Shen, Genwei Zhu

“…This indicated that the deblurring result of the algorithm was accurate. In terms of peak signal-to-noise ratio and structural similarity, the peak signal-to-noise ratio and structure similarity were 30.98 dB and 0.921, respectively, both of which were the optimal values in all algorithms. …”
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Artificial Optimizer Algorithm for Power System Stabilizer design problem and multidisciplinary engineering applications by Narinder Singh, Mandeep Kaur, Essam H. Houssein

“…The novelty of this research lies in presenting a fresh stochastic algorithm enthused via ‘Velociraptor’ social intelligence in wildlife (or nature), known as the Velociraptor Group Optimization algorithm (VROA). …”
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Optimization of Electric Transformer Operation Through Load Estimation Based on the K-Means Algorithm by Pedro Torres-Bermeo, José Varela-Aldás, Kevin López-Eugenio, Nancy Velasco, Guillermo Palacios-Navarro

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Securing digital images: A chaos-driven scrambling algorithm using the Rössler system. by Nasreen Zulfiqar, Tauqir Ahmad, Taher M Ghazal, Atif Ikram, Foziah Gazzawe, Marwan Ali Albahar, Abdelrahman H Hussein, Ahmad Salman Khan

“…A wide range of mathematical constructs, theories, and algorithms have been leveraged by cryptographers to secure valuable and sensitive digital images. …”
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Implementation of the K-Means Algorithm for Customer Churn Segmentation in Developing Bank Marketing Strategies by Reva Nur Rahmadiana, Dinda Lestarini

“…This study aims to segment customers based on characteristics that influence their churn risk using the K-Means algorithm. The data used in this research is secondary data consisting of 9,763 customer records from a bank customer churn dataset obtained via the Kaggle platform. …”
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Enhancing workflow efficiency with a modified Firefly Algorithm for hybrid cloud edge environments by Deafallah Alsadie, Musleh Alsulami

“…We investigate key performance metrics, including makespan, resource utilization, and energy consumption, across both cloud and edge configurations. Scientific workflows often involve complex tasks with dependencies, which can challenge traditional scheduling algorithms. …”
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AReal-time Detection Method of Vehicle Target Based on Improved YOLOv5s Algorithm by CHEN Xiufeng, WANG Chengxin, WU Yuechen, GU Kexin

“…For the problem of heterogeneous redundant frames，weighted non-maximum value suppression is used to fuse the information of both frames to improve the detection accuracy. The experimental results show that the average detection accuracy ( mAP @ 0. 5 ∶ 0. 95 ) of the improved YOLOv5s algorithm reaches 64. 17% . …”
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Energy-Aware Service Composition Algorithms for Service-Oriented Heterogeneous Wireless Sensor Networks by Tao Wang, Lianglun Cheng, Ke Zhang, Jun Liu

“…In this paper, focusing on the limited energy of sensor nodes, we propose an energy-aware service composition framework for developing various applications in heterogeneous wireless sensor networks. With both the energy-aware metrics: energy-aware load-balancing factor and overall energy consumption, we formulate the process of energy-aware sensor service composition into a combinatorial optimization problem; furthermore, an improved discrete particle swarm optimization (IDPSO) algorithm with inertia weights adjustment and extreme perturbation scheme is proposed to solve the combinatorial optimization problem. …”
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Multi-Objective Portfolio Optimization: An Application of the Non-Dominated Sorting Genetic Algorithm III by John Weirstrass Muteba Mwamba, Leon Mishindo Mbucici, Jules Clement Mba

“…This study evaluates the effectiveness of the Non-dominated Sorting Genetic Algorithm III (NSGA-III) in comparison to the traditional Mean–Variance optimization method for financial portfolio management. …”
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Predicting Restroom Dirtiness Based on Water Droplet Volume Using the LightGBM Algorithm by Sumio Kurose, Hironori Moriwaki, Tadao Matsunaga, Sang-Seok Lee

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Prescription Recommendation Algorithm Based on Herbal Property-Driven Compatibility Mechanism Semantic Modeling by Geng Xueru, Zhang Jiantong, Luo Tao, Hou Jianchen, Tao Xiaohua

“…The in-depth analysis of the semantic information contained in Traditional Chinese Medicine (TCM) prescriptions is of great significance for both clinical applications and the discovery of new formulas. …”
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An Algorithm for Restoring a Function from Different Functionals for Predicting Rare Events in the Economy by Yu. A. Korablev

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Low-Light Image Enhancement Algorithm Integrating Retinex Illumination Estimation and Multi-Attention by Yaping Jiang, Shixian Guo

“…To address the challenges of poor visibility, blurred textures, and distortions in low-light conditions, this paper presents an image enhancement algorithm that integrates Retinex-based illumination estimation with multi-attention mechanisms. …”
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An Improved D* Lite-Based Dynamic Route Planning Algorithm for Ships in Arctic Waters by Tie Xu, Haoran Yang, Jun Ma, Kun Xiong, Qinyou Hu

“…By simulating dynamic route planning for ships in Arctic waters during both the freezing and melting periods, the improved D* Lite algorithm was compared with the original D* Lite algorithm and a global update algorithm in terms of voyage distance, risk coefficient, planning time, and the number of node updates. …”
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Construction and Demolition Waste Generation Prediction by Using Artificial Neural Networks and Metaheuristic Algorithms by Ruba Awad, Cenk Budayan, Asli Pelin Gurgun

“…In the actual estimation of construction and demolition waste (C&DW), it is significantly relevant to effective management, design, and planning at project stages, but the lack of reliable estimation methods and historical data prevents the estimation of C&DW quantities for both short- and long-term planning. To address this gap, this study aims to predict C&DW quantities in construction projects more accurately by integrating the gray wolf optimization algorithm (GWO) and the Archimedes optimization algorithm (AOA) into an artificial neural network (ANN). …”
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Solving and Optimization of Cobb–Douglas Function by Genetic Algorithm: A Step-by-Step Implementation by Ali Dinc, Faruk Yildiz, Kaushik Nag, Murat Otkur, Ali Mamedov

“…This study presents an innovative application of genetic algorithms (GAs) for optimizing the Cobb–Douglas production function, a cornerstone of economic modeling that examines the relationship between production output and the inputs of labor and capital. …”
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