A Canadian Clinical Practice Algorithm for the Management of Patients with Non-Variceal Upper Gastrointestinal Bleeding by Alan Barkun, Carlo A Fallone, Naoki Chiba, Marty Fishman, Nigel Flook, Janet Martin, Alaa Rostom, Anthony Taylor, for the Nonvariceal Upper GI Bleeding Consensus Conference Group

“…AIM: To use current evidence-based recommendations to provide a user-friendly clinical algorithm for the management of upper gastrointestinal bleeding, adapted to the Canadian environment.…”
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Model-based estimation of tokamak plasma profiles and physics parameters: algorithm overview and application to ITER by S. Van Mulders, F. Felici, S.C. McIntosh, F. Carpanese, C.E. Contré, R. Coosemans, O. Kudláček, F. Pastore, S.D. Pinches, M. Reisner, O. Sauter

“…In this work, a model-based estimation algorithm is proposed to improve real-time and post-shot estimation of tokamak plasma profiles. …”
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An intelligence technique for route distance minimization to store and marketize the crop using computational optimization algorithms by Saikat Banerjee, Abhoy Chand Mondal

“…This research aims to develop connectivity across many cold storage facilities utilizing the traveling salesperson problem algorithm. Various computational intelligence algorithms such as Greedy Algorithm, Simulated Annealing, 2-opt Algorithm, Particle Swarm Optimization, and Ant Colony Optimization are employed to determine the minimum route. …”
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Development, Verification and Assessment of a Laser Profilometer and Analysis Algorithm for Microtexture Assessment of Runway Surfaces by Gadel Baimukhametov, Greg White

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Set-Based Differential Evolution Algorithm Based on Guided Local Exploration for Automated Process Discovery by Si-Yuan Jing

“…However, current evolutionary algorithms, such as GeneticMiner, ETM, and ProDiGen, converge slowly and in difficultly because all of them employ genetic crossover and mutation which have strong randomness. …”
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A novel machine-learning algorithm to screen for trisomy 21 in first-trimester singleton pregnancies by James Osborne, Chris Cockcroft, Carolyn Williams

“…Test case results were compared with pregnancy outcome data to assess performance.Results A machine-learning model was able to outperform current multivariate distribution models (McNemar’s p = .006, AUC 0.978 vs 0.974). …”
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Enterprise fission path optimization and dynamic capability construction based on the soft actor-critic algorithm by Hengsheng Gu

“…Finally, by introducing the reinforcement learning algorithm of SAC, the enterprise fission scenario is constructed into a complicated decision environment, in which the state space includes the current financial situation, market performance, and dynamic capability level of the enterprise. …”
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Optimization of TCN-BiLSTM for dissolved oxygen prediction based on improved sparrow search algorithm by Pei Shi, Mingjie Tang, Quan Wang, Xiaofei Ma

“…Abstract Dissolved oxygen (DO) is a crucial indicator of water quality in river ecosystems, and its accurate prediction plays a vital role in the protection and sustainable utilization of these ecosystems. However, current DO prediction models often struggle with issues such as noise in the water quality data and insufficient feature extraction. …”
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VERIFICATION OF THE PARSEC METHOD AND OPTIMIZATION OF NACA-4412, SG-6043 USING GENETIC ALGORITHM IN MATLAB by Raheem Alhamdawee, M. Manzoor Hussain

“…Of all the PMS methods that are currently available in the literature, PARSEC marks itself out as the best fitting. …”
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Heterogeneous network-based algorithms in the biomedical data mining: A review from technical perspective by Shirui Yu, Aihua Li, Yifei Chen, Dechao Wang, Xiaoli Tang

“…Deep learning frameworks are the current focus of these algorithms. Interpretation: This survey helps the understanding of heterogeneous network algorithms and envisions to provide a universal reference and guideline for heterogeneous network data mining tasks in the field of biomedicine.…”
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Moanna: Multi-Omics Autoencoder-Based Neural Network Algorithm for Predicting Breast Cancer Subtypes by Richard Lupat, Rashindrie Perera, Sherene Loi, Jason Li

“…Here, we propose a novel deep-learning-based algorithm, Moanna, that is trained to integrate multi-omics data for predicting breast cancer subtypes. …”
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Few-shot Metro Track-wheel Image Segmentation Algorithm Based on Cross-attention Network by CAO Jianxin, ZHANG Yueying, JIANG Weihao, GAO Yunhao

“…Compared with current mainstream semantic segmentation algorithms, the proposed few-shot metro track-wheel image segmentation algorithm based on cross-attention networks demonstrates significantly improved segmentation performance and shows potential for practical application.…”
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Synthesis of the Algorithm of the Vector Width-Pulse Modulation in a Nine-Phase Active Voltage Rectifier by S. V. Panteleev, A. N. Malashin, D. V. Karkotskiy, Yu. V. Suchodolov

“…The development of the vector pulse width modulation algorithm for the m-phase active voltage rectifier is considered, which will make it possible to match the shape and phase of the currents and voltages at the output of the m-phase generator in order to obtain the maximum active power of the module under study. …”
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A dual-domain perception gate-controlled adaptive fusion algorithm for road crack detection by Ziyang Zhang, Yong’an Feng

“…Abstract Road crack detection presents critical challenges, including diverse defect patterns and complex anomaly characteristics. The current object detection algorithms demonstrate deficiencies in considering feature redundancy across channel-spatial dimensions, employ indiscriminate fusion strategies for multi-stage feature information, and particularly neglect the high-frequency characteristics inherent in crack features, leading to inefficient network performance and a loss of crucial information. …”
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Seismic Behavior of a Timber Structure Based on a Soft-Kill BESO Optimization Algorithm by Felipe Solis, Pablo F. Parra, Patricio Cendoya, Luis F. Gonzalez-Böhme, Francisco Quitral-Zapata, Ricardo Gallardo

“…The structure is a five-story glulam braced frame, designed following current Chilean standards. The structural configuration was obtained through a topology optimization process using a variation of a soft-kill BESO algorithm implemented in MATLAB R2015a, obtaining topologies with low structural redundancy. …”
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MSFA-YOLO: A Multi-Scale SAR Ship Detection Algorithm Based on Fused Attention by Zhao Liangjun, Ning Feng, Xi Yubin, Liang Gang, He Zhongliang, Zhang Yuanyang

“…Exhibiting superior performance to existing SAR ship detection models in terms of accuracy, the MSFA-YOLO algorithm represents a significant advancement, establishing itself as the current state-of-the-art algorithm in SAR ship detection.…”
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Smartphone in medicine — from a reference book to a diagnostic system. Overview of the current state of the issue by A. A. Fedorovich, A. Yu. Gorshkov, A. I. Korolev, O. M. Drapkina

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A fault location method for DC distribution networks with DC circuit breaker and current limiter coordination by Xiaoyong Cao, Jiaming Weng, Zaijun Wu, Dong Liu, Gaoming Li, Weinian Ouyang

“…By analyzing the inductor current decay within the ranging circuit, the relationship between fault distance and fault resistance is established, leading to the development of a fault location algorithm. …”
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Precise estimation of solar photovoltaic parameters via brown bear optimization and Differential Evolution by Khalid M. Hosny, Amr A. Abd El-Mageed, Amr A. Abohany, Reda M. Hussein, Mona Gaffar

“…Estimating the optimal parameter values for photovoltaic (PV) models is inherently challenging due to the complex and nonlinear nature of their current–voltage (I–V) characteristic curves. Precise parameter estimation is critical for ensuring the efficient operation of PV systems, as it directly influences energy output and current generation. …”
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Algorithm of Computer Model Realization of Ferroresonance Overvoltages and Their Suppression at Asymmetric Regimes of Power Transmission Lines by E. V. Dmitriyev, A. M. Gashimov, I. R. Pivchik, A. R. Babayeva

“…The paper contains results of investigations pertaining to ferroresonance currents. These investigations have been carried out by means of computer modeling of incomplete-phase regime of PTL with the purpose to select criteria for starting devices which are applied for detection and suppression of ferroresonance processes. …”
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