Optimal power scheduling in real-time distribution systems using crow search algorithm for enhanced microgrid performance by Ganesh Selvaraj, Kanimozhi Rajangam, Pradeep Vishnuram, Mohit Bajaj, Ievgen Zaitsev

“…The main contributions of this work include: (1) developing a new meta-heuristic approach for power scheduling in microgrids using the crow search algorithm, (2) achieving optimal power flow and load scheduling to minimize TOC and improve VR, and (3) successfully implementing the proposed methodology in a real-time distribution system using ETAP. …”
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Landscape dynamics and its related factors in the Citarum River Basin: a comparison of three algorithms with multivariate analysis by Moh. Dede, Sunardi Sunardi, Kuok-Choy Lam, Susanti Withaningsih, Hendarmawan Hendarmawan, Teguh Husodo

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Early Yield Prediction of Oilseed Rape Using UAV-Based Hyperspectral Imaging Combined with Machine Learning Algorithms by Hongyan Zhu, Chengzhi Lin, Zhihao Dong, Jun-Li Xu, Yong He

“…Meanwhile, optimized feature selection algorithms identified effective wavelengths (EWs) and vegetation indices (VIs) for yield estimation. …”
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Analysis of phenotypic manifestations of connective tissue dysplasia in adult patients with osteogenesis imperfecta and development of a diagnostic algorithm by D. I. Valeeva, R. I. Khusainova, L. N. Khusainova, M. M. Khafizov, A. V. Tyurin

“…In type III, spinal deformities are characteristic, chest deformities were more often observed in patients with type V OI. A clinical algorithm for determining OI types was developed to optimize diagnostics and genotyping.…”
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Gradient-Enhanced Kriging-Based Parallel Efficient Global Optimization Algorithm and Its Application in Aerodynamic Shape Optimization by Hang Fu, Qingyu Wang, Takuji Nakashima, Asahi Kawasaki, Chenguang Lai, Keigo Shimizu, Rahul Bale, Makoto Tsubokura

“…The parallel efficient global optimization (EGO) algorithm was developed to leverage the rapid advancements in high-performance computing. …”
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Combining the SHAP Method and Machine Learning Algorithm for Desert Type Extraction and Change Analysis on the Qinghai–Tibetan Plateau by Ruijie Lu, Shulin Liu, Hanchen Duan, Wenping Kang, Ying Zhi

“…Finally, the independent and interactive effects of each factor on desert change on the Qinghai-Tibetan Plateau during the study period are quantitatively analyzed via geodetector. The main results are as follows: (1) Compared with other classification algorithms (GTB, CART, KNN, and SVM), the RF classifier achieves the best performance in classifying QTP desert types, with an overall accuracy (OA) of 87.11% and a kappa coefficient of 0.83. (2) From the perspective of the overall classification of deserts, the five features, namely, elevation, slope, VV, VH, and GLCM, contribute most significantly to the features. …”
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Assessing Classification Accuracy as a Criterion for Evaluating the Performance of Seven Topographic Correction Algorithms in the Trinidad Mountains, Cuba by Minerva Sánchez-Llull, Laura Castellanos Torres, Alain Muñoz Caravaca, Gustavo Martín Morales, Sabine Sauvage, Yeleny Zulueta-Véliz, Eugenio Jesús Olalde Chang, Julio León Cabrera, Leosveli Vasallo-Rodríguez, Sylvain Ouillon, José-Miguel Sánchez-Pérez

“…For the Arimao watershed in the province Cienfuegos of Cuba, the main difficulty in determining the LUC is related to the topographic correction in the mountains of Trinidad. …”
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“Real‐world” performance of the Confirm Rx™ SharpSense AF detection algorithm: UK Confirm Rx study by Andre Briosa e Gala, Michael T. B. Pope, Milena Leo, Alexander J. Sharp, Abhirup Banerjee, Duncan Field, Honey Thomas, Richard Balasubramaniam, Ross Hunter, Roy S. Gardner, David Wilson, Mark M. Gallagher, Julian Ormerod, John Paisey, Nick Curzen, Timothy R. Betts

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Urban growth simulation using cellular automata model and machine learning algorithms (case study: Tabriz metropolis) by Omid Ashkriz, Babak Mirbagheri, Ali Akbar Matkan, Alireza Shakiba

“…In the next step, change potential maps of non-urban to urban areas were produced using random forest algorithms, support vector machine, and multilayer perceptron neural network for two periods of calibration (1997 and 2006) and validation (2006 and 2015) based on distance from the main roads, distance from the city center, distance from built-up areas, distance from the rivers and railways, as well as slope, elevation, and two-class (agricultural/barren) land use layer as effective factors in the growth of the city. …”
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NAPAbench 2: A network synthesis algorithm for generating realistic protein-protein interaction (PPI) network families. by Hyun-Myung Woo, Hyundoo Jeong, Byung-Jun Yoon

“…In addition, NAPAbench 2 provides updated benchmark datasets-created using the redesigned network synthesis algorithm-which can be used for comprehensive performance assessment of network alignment algorithms and their scalability.…”
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TS-SSA: An improved two-stage sparrow search algorithm for large-scale many-objective optimization problems. by Xiaozhi Du, Kai Chen, Hongyuan Du, Zongbin Qiao

“…In the first stage of TS-SSA, this paper proposes a many-objective sparrow search algorithm (MaOSSA) to mainly manages the convergence through the adaptive population dividing strategy and the random bootstrap search strategy. …”
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Deep learning-based recognition model of football player’s technical action behavior using PCA–LBP algorithm by Hongtao Chen, Zhengbai Lin, Quan Xu

“…When the number of recognition times was 300, the recognition accuracy of the PCA–LBP algorithm was 24% higher than that of the LBP algorithm. …”
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Robust Adaptive Beamforming Using a Low-Complexity Steering Vector Estimation and Covariance Matrix Reconstruction Algorithm by Pei Chen, Yongjun Zhao, Chengcheng Liu

“…A novel low-complexity robust adaptive beamforming (RAB) technique is proposed in order to overcome the major drawbacks from which the recent reported RAB algorithms suffer, mainly the high computational cost and the requirement for optimization programs. …”
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The Establishment of a Rock Creep Model by Using Creep Bodies via an Improved Gene Expression Programming Algorithm by Pingyang Fan, Junhua Chen, Chuankun Qiu, Junwen Chen, Shan Gao, Jiqing Hou, Min Wang

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Classification of Prominent Cacao Pod Diseases Using Multi-Feature Visual Analysis and k-Nearest Neighbors Algorithm by Earl Clarence San Diego, Seph Gerald Rodrin, Edwin Arboleda

“…Although cacao production aspired to be heightened to cope with the global trend, several difficulties were still needed to be addressed in crop propagation, mainly due to disruptive diseases and pests. In response to this problem, the study devised an algorithm based on k-Nearest Neighbors that can detect whenever a cacao pod was infected with the three most prominent diseases: black pod rot, Monilia, and pod borer infestations. …”
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Optimal feature selection and invasive weed tunicate swarm algorithm-based hierarchical attention network for text classification by Gunjan Singh, Arpita Nagpal, Vijendra Singh

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Development of new production algorithm in the northern Indian Ocean and observation of enhanced productivity using satellite remote sensing by Kandasamy Priyanka, Ranjit Kumar Sarangi, Durairaj Poornima, Ayyappan Saravanakumar

“…The AS exhibits greater productivity than the BoB. This is mainly due to higher production in the summer (1.8 µmol N m−2d−1) and winter (1.7 µmol N m−2d−1), along with stronger downward fluxes associated with the deep mixed layer.…”
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Hybrid golden Jackal and moth flame optimization algorithm based coverage path planning in heterogeneous UAV networks by K. Karthik, C. Balasubramanian, R. Praveen

“…Abstract Coverage Path Planning is an important strategy used mainly in junction with the unmanned aerial vehicles (UAVs) such that it can cover the regions of the target with minimized energy consumptions. …”
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Normalized square difference based multilevel thresholding technique for multispectral images using leader slime mould algorithm by Manoj Kumar Naik, Rutuparna Panda, Ajith Abraham

“…Two-dimensional histogram-based techniques are better in terms of accuracy while they are computation intensive. The slime mould algorithm used for optimization mainly depends on the best leader and two randomly pooled slime moulds from the population, which leads to poor exploitation with more iteration to converge. …”
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A Deep Learning Algorithm for Multi-Source Data Fusion to Predict Effluent Quality of Wastewater Treatment Plant by Shitao Zhang, Jiafei Cao, Yang Gao, Fangfang Sun, Yong Yang

“…The operational complexity of wastewater treatment systems mainly stems from the diversity of influent characteristics and the nonlinear nature of the treatment process. …”
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