Analysis and validation of characteristic genes in RNA sequencing datasets from heart failure patients based on multiple algorithms by Yuxuan Li, Ying Bai, Wujiao Wang, Zhaotian Ma, Peng Li, Dong Li, Sinai Li, Jialin Jin, Jialin Jin, Qian Lin

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Improvement of Wild Horse Optimizer Algorithm with Random Walk Strategy (IWHO), and Appointment as MLP Supervisor for Solving Energy Efficiency Problem by Şahiner Güler, Erdal Eker, Nejat Yumuşak

“…The performance change is observed through a Multi-Layer Perceptron (MLP) sample. In this context, an advanced Wild Horse Optimization (IWHO) algorithm with a random walking strategy was developed to provide solution diversity in local spaces using a random walking strategy. …”
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Comorbidities associated with fetal alcohol spectrum disorders in the United States by Brandon K. Attell, Angela B. Snyder, Claire Coles, Julie Kable

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Automated Crack Width Measurement in 3D Models: A Photogrammetric Approach with Image Selection by Huseyin Yasin Ozturk, Emanuele Zappa

“…Then, a subset of images are automatically selected based on camera orientation and distance, and a deep learning algorithm is applied to detect cracks in 2D images. …”
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Prediction of outpatient rehabilitation patient preferences and optimization of graded diagnosis and treatment based on XGBoost machine learning algorithm by Xuehui Fan, Ruixue Ye, Yan Gao, Kaiwen Xue, Zeyu Zhang, Jing Xu, Jingpu Zhao, Jun Feng, Yulong Wang

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Cross-regional sample generation based on Cropland Data Layer for large-scale winter wheat mapping: A case study of Huang-Huai-Hai Plain, China by Man Liu, Wei He, Hongyan Zhang

“…A three-step strategy is used to generate pure winter wheat samples. The first step involves applying the Random Forest algorithm to transfer the mapping rules from the source area to the target area while determining the probability similarity of each pixel in the target area to winter wheat in the source area. …”
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A Particle Swarm Optimization-Based Ensemble Broad Learning System for Intelligent Fault Diagnosis in Safety-Critical Energy Systems with High-Dimensional Small Samples by Jiasheng Yan, Yang Sui, Tao Dai

“…Furthermore, EBLS is designed to enhance model stability and classification accuracy with high-dimensional small samples by incorporating the random forest (RF) algorithm and an ensemble strategy into the traditional BLS framework. …”
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A Synchronization Control System for Converters Based on FPGA by LI Miao, QIU Yuefeng, ZHANG Shaoyun

“…The proposed scheme, which uses FPGA as the core of synchronous beat control of a converter system, can realize the synchronization of sampling control, algorithm calculation and SVPWM output of the converter system. …”
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Encrypted traffic identification scheme based on sliding window and randomness features by LIU Jiachi, KUANG Boyu, SU Mang, XU Yaqian, FU Anmin

“…For each data block, randomness measurement algorithms were utilized to extract sample features and construct randomness features for the original payload. …”
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Ptychoscopy: a user friendly experimental design tool for ptychography by Radim Skoupy, Elisabeth Müller, Timothy J. Pennycook, Manuel Guizar-Sicairos, Emiliana Fabbri, Emiliya Poghosyan

“…Using a $$\hbox {SmB}_{6}$$ sample, we show the influence of key parameters such as probe convergence angle, defocus and electron dose on the reconstruction quality using direct and iterative reconstruction algorithms. …”
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Studies on the prevalence, diagnostic algorithm and antimicrobial drug sensitivity of Streptococcus suis isolates from industrially reared pigs by V. Galeva, L. Ivanov, V. Urumova

Adaptive Bi-Directional RRT Algorithm for Three-Dimensional Path Planning of Unmanned Aerial Vehicles in Complex Environments by Nan Li, Sang Ik Han

“…The algorithm utilizes an adaptive sampling strategy and an adjustable step size to enhance performance relative to the Bi-RRT algorithm. …”
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Feature Selection based on Genetic Algorithm for Classification of Mammogram Using K-means, k-NN and Euclidean Distance by Kameran Adil Ibrahim

“…The initially identified clusters using K-means are used to classify 60 unknown samples using k-NN. The proposed work got reasonably good results with 96.23% accuracy for malignant samples, 95.37% for benign. …”
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Identification of telomere maintenance related biomarkers and regulatory mechanisms in chronic obstructive pulmonary disease by machine learning algorithm by Haiyan Cao, Xiangjian Chu

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Predicting the Color of Archaeological <i>Littorina obtusata/fabalis</i> Shells Using Raman Spectroscopy and Clustering Algorithms by Andrea Perez-Asensio, María Gabriela Fernández-Manteca, David Cuenca-Solana, Igor Gutiérrez-Zugasti, Asier García-Escárzaga, Jesús Mirapeix, José Miguel López-Higuera, Luis Rodríguez-Cobo, Adolfo Cobo

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Near- and Mid-Infrared Spectroscopy Combined with Machine Learning Algorithms to Determine Minerals and Antioxidant Activity in Commercial Cheese by Ahmed Menevşeoglu, Nurhan Gunes, Huseyin Ayvaz, Sevim Beyza Öztürk Sarıkaya, Cuma Zehiroglu

“…Mineral content and antioxidant activity of ETC were aimed to be predicted using conventional FT-NIR and a portable FT-MIR spectrometer combined with partial least square regression (PLSR) and machine learning algorithms based on conditional entropy. Seventy ETC samples were analyzed for their mineral (Al, Ca, Cr, Cu, Fe, K, Mg, Mn, Na, and P) content using ICP-MS. …”
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Pilot Protection Scheme of Submarine Cable in Flexible Low-Frequency Transmission System Based on Cross Entropy Algorithm by Weixuan HE, Zhengzhen FAN, Yaotong HUO, Yingyu LIANG

“…In this paper, a novel pilot protection scheme based on cross entropy algorithm is proposed. In this scheme, virtual negative capacitance compensation and negative number processing are carried out on the sampled current of one side, and then the cross entropy between the sampled current and the current of the other side is calculated. …”
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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

“…Methods We utilized the TCGA-LUAD dataset, including gene expression data from healthy and cancerous samples. 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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Application of Fourier transform infrared spectroscopy on Breast cancer diagnosis combined with multiple algorithms: A systematic review by Yeniewa Kerie Anagaw, Gizachew Kassahun Bizuneh, Melaku Getahun Feleke, Liknaw Workie Limenh, Derso Teju Geremew, Minichil Chanie Worku, Melese Legesse Mitku, Misganaw Gashaw Dessie, Biset Asrade Mekonnen, Wondim Ayenew

“…Results: Serum, breast biopsies, blood plasma, specimen, and saliva samples were included in this study. This study revealed that breast cancer diagnosis using FT-IR spectroscopy with diagnostic algorithms had a sensitivity and specificity of approximately 98 % and 100 %, respectively. …”
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BioFire FilmArray Meningitis/Encephalitis Panel Utilised for the Unsolved Cases of Meningitis/Encephalitis: A Cross-sectional Study by Bashir Ahmad Fomda, Sanam Rasool Wani, Irfan Ul Haq, Anjum Ara, Gulnaz Bashir, Shugufta Roohi, Sheikh Imtiyaz, Naseer Ahmad Bhat

“…Results: Out of the 42 samples tested, organisms were detected in 14 (33.33%) samples, while 28 (66.7%) samples showed no organism. …”
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