Severity Classification of Freezing of Gait Using Machine-Learning Algorithms: A Hidden State Model Approach by Aditi Site, Elena Simona Lohan, Jari Nurmi

“…We also trained an ensemble algorithm to model the prediction of severity levels marked by HMM model. …”
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Simulation of direct mapped, k-way and fully associative cache on all pairs shortest paths algorithms by A. A. Prihozhy

“…The miss rate strongly depends on the executed algorithm. The all pairs shortest paths algorithms solve many practical problems, and it is important to know what algorithm and what cache type match best. …”
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Complex Texture Contour Feature Extraction of Cracks in Timber Structures of Ancient Architecture Based on YOLO Algorithm by Jian Ma, Weidong Yan, Guoqi Liu, Shiyu Xing, Siqi Niu, Tong Wei

“…In previous studies, we have verified that YOLO v5s is effective in crack detection in timber structures of ancient architecture. However, there are many different versions of YOLO series models. In order to find a better algorithm, this paper mainly adopts three models including YOLO v3, YOLO v4s-mish, and YOLO v5s to detect cracks in the timber structures of ancient architecture, and compares and analyzes the advantages and disadvantages of the three models. …”
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An Efficient Categorization of Diabetes Imbalanced Data Using SMOTE-ENN With Fine-Tuned LS-SVM Algorithm by Nwayyin Mohammed, Mariwan Hama Saeed

“…We used grid search algorithm to optimize LS-SVM algorithm hyperparameters. …”
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Parameter identification of sound absorption model of porous materials based on modified particle swarm optimization algorithm. by Xiaomei Xu, Ping Lin

“…Then the modified particle swarm optimization algorithm is introduced and the feasibility of the algorithm applied to the parameter identification of porous materials is investigated. …”
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STARNet: A Deep‐Learning Algorithm for Surface Shortwave Radiation Retrieval From Fengyun‐4A by Mengmeng Song, Dazhi Yang, Hongrong Shi, Yun Chen, Bai Liu, Yanbo Shen, Zijing Ding, Xiang'ao Xia

“…True out‐of‐sample verification demonstrates that STARNet can outperform physical and conventional data‐driven retrieval algorithms. Most importantly, STARNet is exceedingly general and thus applicable to many other retrieval tasks, such as those for aerosols or clouds.…”
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Osprey optimization algorithm for distributed generation integration in a radial distribution system for power loss reduction by P. Rajakumar, P. M. Balasubramaniam, Arunkumar Munimathan, Mamdooh Alwetaishi, Mohammad Imtiyaz Gulbarga, Chinnaiyan Senthilpari

“…Abstract Many optimization algorithms were proposed in the past and optimized the distributed generation (DG) in the radial power distribution networks. …”
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A steady state micro genetic algorithm for hyper-heuristic generation in one-dimensional bin packing by Julio Juárez, Jesús Guillermo Falcón-Cardona, José Carlos Ortiz-Bayliss

“…Due to the complexity of the problem, exact algorithms are often impractical for large instances, which has led to a reliance on tailored heuristics that may perform well on some instances but poorly on others. …”
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Selection Method of Cross-Border e-Commerce Export Logistics Mode Based on Collaborative Filtering Algorithm by Ying Yang

“…Secondly, a logistics selection model based on collaborative filtering algorithm is constructed, and the model is verified by a practical case of a specific export cross-border e-commerce company. …”
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Performance of predictive algorithms in estimating the risk of being a zero-dose child in India, Mali and Nigeria by Sebastian Bauhoff, John Tucker, Arpita Biswas

“…Introduction Many children in low-income and middle-income countries fail to receive any routine vaccinations. …”
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Mapping the Conformation Space of Wildtype and Mutant H-Ras with a Memetic, Cellular, and Multiscale Evolutionary Algorithm. by Rudy Clausen, Buyong Ma, Ruth Nussinov, Amarda Shehu

“…In this paper we propose a novel algorithm, SIfTER, which is based instead on stochastic optimization to circumvent the computational challenge of exploring the breadth of a protein's structure space. …”
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Enhancing heart disease classification based on greylag goose optimization algorithm and long short-term memory by Ahmed M. Elshewey, Amira Hassan Abed, Doaa Sami Khafaga, Amel Ali Alhussan, Marwa M. Eid, El-Sayed M. El-kenawy

“…The bGGO algorithm is the most effective optimization algorithm for selecting the optimal features to enhance classification accuracy. …”
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Examining the Impact of Distance-Based Similarity Metrics on the Performance of Projected Clustering Algorithm for Fingerprint Database Clustering by Abdulmalik Shehu Yaro, Filip Maly, Pavel Prazak, Karel Maly

“…Despite its robustness, its performance heavily depends on the chosen similarity metric, with Euclidean and Manhattan distances being the most common. While many researchers focus on modifying the algorithm to enhance performance, the impact of similarity metrics on clustering performance is often overlooked, despite its critical role in determining accuracy. …”
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Validation of an Algorithm for the Estimation of Human Passive Wrist Stiffness Based on a Subject-Specific Kinematic Model by Giorgia Giovannetti, Alessia Noccaro, Domenico Campolo, Domenico Formica

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Improved cancer detection through feature selection using the binary Al Biruni Earth radius algorithm by El-Sayed M. El-Kenawy, Nima Khodadadi, Marwa M. Eid, Ehsaneh Khodadadi, Ehsan Khodadadi, Doaa Sami Khafaga, Amel Ali Alhussan, Abdelhameed Ibrahim, Mohamed Saber

“…Metaheuristic algorithms have been employed to select features to address this issue. …”
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A design method of composite pixel-like antenna based on improved bald eagle search algorithm by WANG Yongqiang, LIU Bingqi, ZHU Bolin

“…This method not only retains the good convergence of the original algorithm, but also partially improves the global search ability. …”
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Ex-vivo validation of nine algorithms for quantifying infarcts with late gadolinium enhancement cardiovascular magnetic resonance by Sascha Kopic, Einar Heiberg, Henrik Engblom, Marcus Carlsson, David Nordlund, Robert Jablonowski, Mikael Kanski, Christos Xanthis, Sebastian Bidhult, Anthony H. Aletras, Håkan Arheden

“…ABSTRACT: Background: In cardiovascular magnetic resonance, late gadolinium enhancement (LGE) is the standard method to visualize myocardial infarction (MI). Many algorithms quantifying infarct size in LGE images exist. …”
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Hyperspectral Estimation of Chlorophyll Content in Ginseng Fruit Leaves Based on Wavelet Transform and VCPA-GA Algorithm by Guo Jinfeng, Zhang Zhicong, Umut Hasan, Zhou Zhongye, Xu Wenyu, Yusup Ahmat

“…This is because the wavelet transform process has some errors that increase with the number of decomposition layers. (2) The VCPA-GA hybrid variable selection algorithm merges the strengths of the VCPA and GA, addressing the tendency of the VCPA to select fewer variables and overcoming GA's limitations in handling many variables which can lead to overfitting, providing a theoretical basis for estimating ginseng fruit LCC using hyperspectral remote sensing. (3) Among the four machine-learning models, predictions from to 1-2 and 6-7 layers were generally lower than those of the 0 layer, while predictions from the 3–5 layers are higher, showing an overall trend of initial increase followed by a decrease as the number of wavelet decomposition layers increased. (4) Ginseng fruit leaf hyperspectral data processed by the DWT-VCPA-GA algorithm with a 4-layer DWT spectrum yielded the best predictive performance in the BP-AdaBoost regression model, with R2=0.919, mean absolute percentage error = 2.090%, and relative percentage difference = 3.900. (5) After optimizing the BPNN regression model with various algorithms, only some optimized models improved their predictive performance and accuracy to a certain extent, making the choice of the right optimization algorithm crucial for model improvement.…”
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Predicting Financial Distress through Ranking Working Capital Management Components Using Random Forest Algorithm by Pouya Sadeghi, Daryush Farid, Hamid Reza Mirzaei, Abolfazl Dehghani

“…In the first step, a random forest algorithm was employed to assess the predictive power of the seven working capital management indicators in classifying companies as distressed or healthy. …”
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A PROBLEM OF CUTTING OFF THE LAMINATED SEMIS TYPE PLATE by Florin Ciofu

“…A problem often coped on many domains such as wood manufacturing, glass, plastics and metallic platework industry, is the shaping or cutting off a big plate in many pieces. …”
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