A One-Stage HMDV Algorithm Applied in Multitarget Detection in SAR Images by Lei Pang, Weihe Huang, Fengli Zhang, Yinhong Song

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Leveraging ECG images for predicting ejection fraction using machine learning algorithms by Abhyuday Kumara Swamy, Vivek Rajagopal, Deepak Krishnan, Paramita Auddya Ghorai, Anagha Choukhande, Santhosh Rathnam Palani, Deepak Padmanabhan, Emmanuel Rupert, Devi Prasad Shetty, Pradeep Narayan

“…Introduction: The capability to accurately predict the ejection fraction (EF) from an electrocardiogram (ECG) holds significant and valuable clinical implications. Various algorithms based on ECG images are currently being evaluated, with most methods requiring raw signal data from ECG devices. …”
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Estimation of Mango Fruit Production Using Image Analysis and Machine Learning Algorithms by Liliana Arcila-Diaz, Heber I. Mejia-Cabrera, Juan Arcila-Diaz

“…This study presents an analysis of mango fruit detection using machine learning algorithms, specifically YOLO version 8 and Faster R-CNN. …”
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EXPERIMENTAL RESULTS OF SOFTWARE ALGORITHMIC SYNCHRONIZATION OF DISTRIBUTED RADIO SYSTEM WITH MOBILE CARRIERS by I. V. Kryuchkov, M. I. Noniashvili, A. I. Skachkova, A. A. Filatov

“…The synchronization technique (software algorithmic approach) is reduced to the coprocessing signal correction according to estimated frequency (phase) drifts. …”
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Utilization of Classification Learning Algorithms for Upper-Body Non-Cyclic Motion Prediction by Bon H. Koo, Ho Chit Siu, Dava J. Newman, Ellen T. Roche, Lonnie G. Petersen

“…This study explores two methods of predicting non-cyclic upper-body motions using classification algorithms. Exoskeletons currently face challenges with low fluency, hypothesized to be in part caused by the lag in active control innate in many leader–follower paradigms seen in today’s systems, leading to energetic inefficiencies and discomfort. …”
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A Credit Card Fraud Detection Algorithm Based on SDT and Federated Learning by Yuxuan Tang, Zhanjun Liu

“…Traditional fraud detection methods are currently facing challenges such as poor model performance, difficulty in obtaining accurate results, and limitations in distributed deployment. …”
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A Hybrid EV Charging Approach Based on MILP and a Genetic Algorithm by Syed Abdullah Al Nahid, Junjian Qi

“…The centralized model schedules time slots using valley-filling and EV-specific constraints, and the local GA-based distributed control adjusts charging currents based on minimum energy, system availability, waiting time, and a priority index (PI). …”
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Reducing hydrogen consumption in hybrid electric vehicles using aquila optimization algorithm by A.M. Nassef, H.E. Ghadbane, E.T. Sayed, H. Rezk

“…Applying the federal test procedure to simulate the conditions of city driving, the proposed energy management strategy performance was assessed and contrasted with that of eight competent algorithms through a comparative simulation.FINDINGS: The simulation findings illustrated that the suggested energy management strategy surpasses other currently available solutions resulting from competitive optimizers by reducing the consumption of fuel, with a considerable decrease of 52.26 percent. …”
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Image dehazing algorithm based on deep transfer learning and local mean adaptation by Dongyang Shi, Sheng Huang

“…To address both issues simultaneously, we propose an image dehazing algorithm based on deep transfer learning and local mean adaptation. …”
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Flow Field Analysis and Development of a Prediction Model Based on Deep Learning by Yingjie Yu, Xiufeng Zhang, Lucai Wang, Rui Tian, Xiaobin Qian, Dongdong Guo, Yanwei Liu

“…The proposed model was validated by comparing its predictions with those predicted by the MIKE21 flow model of the ocean area within proximity to Dalian Port (which used a commercial numerical model), as well as those predicted by other deep learning algorithms. The results showed that the model offers significant advantages and efficiency in simulating and predicting ocean surface currents. …”
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Detection of Short-Circuit Location in Distribution Mains Line within Functions of Micro-Processor Current Protection by F. A. Romaniuk, A. A. Tishechkin, O. A. Gurjanchik

“…Altogether each of the considered algorithms is operational and ensures obtaining of the required information for efficient realization of functions for detection of damage location.The given propositions can be used while developing algorithms for operation of micro-processor current directed protections of distribution mains lines.…”
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MODELING OF QUASISTATIONARY MODES OF DIRECT-CURRENT MOTOR UNDER PULSATING SUPPLY USING DYNAMIC MATHEMATICAL MODEL by Irina Romanenko, Maksim Danilov

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Current Signature-Based Bearing Fault Severity Classification Using a Robust Multilevel Cascaded Framework by Korawege N. C. Jayasena, Battur Batkhishig, Babak Nahid-Mobarakeh, Ali Emadi

“…These features are fed into an ANN-based level I algorithm using various fusion techniques, offering a more interpretable algorithmic framework. …”
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Endpoint carbon content and temperature prediction model in BOF steelmaking based on posterior probability and intra-cluster feature weight online dynamic feature selection by Wang Haodong, Liu Hui, Chen FuGang, Li Heng, Xue XiaoJun

“…Second, the posterior probability of samples and intra-cluster feature weights are used to weigh and calculate the feature importance of the current sample, obtaining the optimal features that align with the current operating conditions. …”
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An Improved Diagnosis Approach for Short-Circuit Fault Diagnosis in MPC-Based Current Source Inverter System by Jonggrist Jongudomkarn, Pirat Khunkitti, Apirat Siritaratiwat

“…In the presence of faulty switches, the algorithm identifies the phase of the reference current where the predicted currents align with the reference values. …”
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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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Chance-Constrained Optimization of Photovoltaic System Allocation considering Power Loss, Voltage Level, and Line Current by Ibrahim Cagri Barutcu

“…In this paper, uncertainty scenarios are handled with Monte Carlo Simulation (MCS) under genetic algorithm (GA) and differential evolution- (DE-) based optimization, and probability distribution functions (pdf) of bus voltages and line current are obtained to be used in chance-constrained stochastic programming. …”
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Grasping Deformable Objects in Industry Application: A Comprehensive Review of Robotic Manipulation by Wang Yuanyang, Muhammad Nasiruddin Mahyuddin

“…In contrast, model-free algorithms do not need parametric information of the objects as only input-output signal is required. …”
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Fault Location Method for Medium Voltage Cables Using Sheath Currents in Inverter-Based Resource Networks by Arman Ghaderi Baayeh, Jona Cappelle, Michael Kleemann

“…It is designed for medium voltage cables, employing sheath current measurements and combining time-domain and phasor-domain analysis. …”
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Passive Time-Division Multiplexing Fiber Optic Sensor for Magnetic Field Detection Applications in Current Introduction by Yong Liu, Junjun Xiong, Junchang Huang, Fubin Pang, Yi Zhao, Li Xia

“…Addressing the problems of high cost and complex demodulation, this paper proposes a passive multiplexing structure that achieves time-domain multiplexing of pulsed sensing signals, designs a corresponding intensity demodulation algorithm, and applies this structure to FOCTs. This enables low-cost, simple-demodulation current sensing, which can also be utilized for magnetic field detection, showcasing vast application potential.…”
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