An improved human evolutionary optimization algorithm for maximizing green hydrogen generation in intelligent energy management system (IEMS) by Metwally Rashad, Mohamed S. Abdellatif, Asmaa H. Rabie

“…The IEMS leverages an Improved Human Evolutionary Optimization (IHEO) algorithm, based on the collected data at the fog's server, to effectively manage energy resources and maximize hydrogen generation while considering various constraints, such as renewable energy intermittency, energy demand fluctuations, and grid stability. …”
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Smart Electric Vehicle Charging Algorithm to Reduce the Impact on Power Grids: A Reinforcement Learning Based Methodology by Federico Rossi, Cesar Diaz-Londono, Yang Li, Changfu Zou, Giambattista Gruosso

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What Influences Low-cost Sensor Data Calibration? - A Systematic Assessment of Algorithms, Duration, and Predictor Selection by Lu Liang, Jacob Daniels

“…Our study not only describes an approach of sophisticated data-driven calibration for practical applications, but also provides insights into the compounding impacts of parameters, samples, and predictors in algorithm performance.…”
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Unsupervised Binary Classifier-Based Object Detection Algorithm with Integrated Background Subtraction Suitable for Use with Aerial Imagery by Gabija Veličkaitė, Ignas Daugėla, Ivan Suzdalev

“…This research presents the development of a novel object detection algorithm designed to identify humans in natural outdoor environments using minimal computational resources. …”
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Identifying candidate biomarkers for detecting bronchogenic carcinoma stages using metaheuristic algorithms based on information fusion theory by Bagher Khalvati, Kaveh Kavousi, Amir Hosein Keyhanipour, Masoud Arabfard

“…To identify robust biomarkers, we applied eight metaheuristic algorithms for feature selection, combined with four classification methods and two data fusion techniques to optimize performance. …”
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Robust Portfolio Optimization using LSTM-based Stock and Cryptocurrency Price Prediction: An Application of Algorithmic Trading Strategies by Mehrdad Heydarpour, Hossein Ghanbari, Emran Mohammadi, Saeed Shavvalpour

“…Algorithmic trading (AT) has become widely used recently because of its high speed and accuracy in implementing diverse and complex strategies. …”
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Modeling earthquake bond prices with correlated dual trigger indices and the approximate solution using the Monte Carlo algorithm by Riza Andrian Ibrahim, Sukono, Herlina Napitupulu, Rose Irnawaty Ibrahim

“…Through this algorithm, we showed that bond prices for terms of one to six years follow a normal distribution. …”
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A multi-object tracking algorithm for cleaning vessels to track floating debris based on YOLOv5-Byte by Heping YUAN, Bo ZHOU, Bijin LIU

“…Finally, IoU (intersection over union）is introduced into the adjustable hyper-parameter in the form of a power exponent in the Byte data association model to reduce the risk of small objects being discarded due to low confidence.Results The experimental results on the surface floating debris dataset showed that the tracking assessment metrics IDF1 (identification F1 score) and MOTA (multiple object tracking accuracy) increased by 11.5% and 8.7%, respectively, while the number of IDs (identity switches) decreased by 7 compared to the algorithm before improvement. …”
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Generic optimal power flow solution associated with technical improvements and emission reduction by multi-objective ARO algorithm by Amlak Abaza, Ragab A. El-Sehiemy, Zakeria Elbarabry, Asmaa F. Barakat

“…The effectiveness of the proposed algorithm is evaluated through a comprehensive comparison study with the existing works in the literature. …”
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Research on Adaptive Planning of Three-Dimensional Trajectory for Uncrewed Aerial Vehicle Inspection Based on Nonlinear Weibull Algorithm by Zhuang Liu, Ning Yang, Jiaxing Fu, Huanqing Cai, Xuebei Wei

“…An S-shaped characteristic function-based nonlinear evolution factor is employed to balance global exploration and local exploitation of the optimal path, while a Weibull flight operator mutation strategy is designed to enable the algorithm to escape from locally optimal paths, enrich the search space, and improve convergence accuracy. …”
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Improvement of the TEB Algorithm for Local Path Planning of Car-like Mobile Robots Based on Fuzzy Logic Control by Lei Chen, Rui Liu, Daiyang Jia, Sijing Xian, Guo Ma

“…Therefore, this paper proposes a fuzzy logic control–TEB algorithm (FLC-TEB). This method adds smoothness and jerk objectives to make the trajectory generated by TEB smoother and the control more stable. …”
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Improvement analysis of organic light emitting diode temperature control by integrating whale algorithm in PID control system. by Dayu Zhang, Cong Guan

“…The research results show that the WOA-LSTM-PID controller can significantly improve the accuracy and stability of OLED temperature control, while reducing the regulation time and response time. …”
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An Image-Based Concrete-Crack-Width Measurement Method Using Skeleton Pruning and the Edge-OrthoBoundary Algorithm by Chunxiao Li, Hui Qin, Yu Tang, Hailiang Zhao, Shengshen Pan, Jinbo Liu, Wenjiang Luo

“…The EOB method combines the OrthoBoundary and edge shortest distance (ESD) techniques, effectively correcting the propagation direction of the skeleton points while accounting for their width. The validation of real cracks shows the skeleton-pruning algorithm’s effectiveness, eliminating the need for a specified threshold and reducing time complexity. …”
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Performance of Various Voltage Stability Indices in a Stochastic Multiobjective Optimal Power Flow Using Mayfly Algorithm by Rebeccah Kyomugisha, Christopher Maina Muriithi, George Nyauma Nyakoe

“…Also, the MOMA algorithm demonstrated superior performance against the multiobjective harris hawks algorithm (MHHO), multiobjective Jaya algorithm (MOJAYA), multiobjective particle swarm algorithm (MOPSO), and nondominated sorting genetic algorithm III (NSGA-III) algorithms. …”
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Short-Term Wind Power Forecast Based on CNN&LSTM-GRU Model Integrated with CEEMD-SE Algorithm by Guohua YANG, Xin QI, Rui JIA, Yifeng LIU, Fei MENG, Xin MA, Xiaowen XING

“…In order to further improve the accuracy of short-term wind power forecast, a CNN & LSTM-GRU based short-term wind power prediction model using CEEMD-SE algorithm is proposed. First, the original wind power output series are decomposed into several intrinsic mode function components and one residual component by complementary set empirical mode decomposition, and those components of similar mode are reconstructed by sample entropy algorithm. …”
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ML-based approach to potato diseases diagnosis using image processing and whale optimization algorithm for feature selection by Zhongxu Li, Seyed Mohamad Javidan

“…Nature-inspired feature extraction techniques, such as the Whale Optimization Algorithm (WOA), have gained considerable attention recently. …”
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A Novel FECAM-iTransformer Algorithm for Assisting INS/GNSS Navigation System during GNSS Outages by Xinghong Kuang, Biyun Yan

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BSDR: A Data-Efficient Deep Learning-Based Hyperspectral Band Selection Algorithm Using Discrete Relaxation by Mohammad Rahman, Shyh Wei Teng, Manzur Murshed, Manoranjan Paul, David Brennan

“…Through extensive evaluations on three benchmark datasets with varying spectral dimensions and characteristics, BSDR demonstrates superior performance for both regression and classification tasks, achieving up to 25% and 34.6% improvements in overall accuracy, compared to the latest attention-based and traditional algorithms, respectively, while reducing execution time by 96.8% and 97.18%. …”
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Cross-domain subcortical brain structure segmentation algorithm based on low-rank adaptation fine-tuning SAM by Yuan Sui, Qian Hu, Yujie Zhang

“…Methods This paper proposes a subcortical brain structure segmentation algorithm based on Low-Rank Adaptation (LoRA) to fine-tune SAM (Segment Anything Model) by freezing SAM’s image encoder and applying LoRA to approximate low-rank matrix updates to the encoder’s training weights, while also fine-tuning SAM’s lightweight prompt encoder and mask decoder. …”
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Leveraging genetic algorithms and neural networks for stiffness and weight optimisation of an unmanned aerial vehicle (UAV) support arm by Iuri H. Müller, José Humberto S. Almeida Jr, Sandro C. Amico, Maikson L.P. Tonatto

“…The ANN predicts mass and stiffness with over 99% accuracy while reducing computational time by 95% compared to full FE simulations. …”
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