Fractional-order boundary value problems solutions using advanced numerical technique by Asmat Batool, Imran Talib, Muhammad Bilal Riaz

“…These operational matrices enable us to integrate monomial terms into the algorithm, effectively converting the problem into easily solvable Sylvester-type equations. …”
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Refractured Well Selection for Multicriteria Group Decision Making by Integrating Fuzzy AHP with Fuzzy TOPSIS Based on Interval-Typed Fuzzy Numbers by Tiejun Li, Jianhua Jin, Chunquan Li

“…The fuzzy AHP is used to analyze the structure of the selection problem and to determine weights of the criteria with triangular fuzzy numbers, and fuzzy TOPSIS with interval-typed triangular fuzzy numbers is proposed to determine final ranking for all the alternatives. Furthermore, the algorithm allows finding the best alternatives. The feasibility of the proposed methodology is also demonstrated by the application of refractured well-selection problem and the method will provide a more effective decision-making tool for MCGDM problems.…”
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A 15-Item modification of the PSP rating scale to improve clinical meaningfulness and statistical performance by Tien Dam, Lili Yang, Colin Gillis, Yumeng Li, John O’Gorman, Barbara Kolb, Adam L. Boxer, Lawrence Golbe, Samantha Budd Haeberlein, On behalf of the AL-108-231, PROSPERA, and 4RTNI investigators

“…Datasets were analyzed to improve the psychometric properties, understand factor structure, and develop a scoring algorithm. Fifteen items of the PSPRS were selected based on whether the items reflect concepts specific to the disease and those responsive to change over 12 months. …”
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Computational and experimental study of swirling ring flow by A. A. Kishkin, Yu. N. Shevchenko, A. A. Zuev, D. A. Zhuikov

“…The equation forms the basis of the algorithm of integration in finite differences supplemented by a system of service equations describing the friction stress, thermodynamic parameters, etc. …”
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Proactive Alleviation Procedure to Handle Black Hole Attack and Its Version by M. Rajesh Babu, S. Moses Dian, Siva Chelladurai, Mathiyalagan Palaniappan

“…Therefore this paper proposes an alleviation procedure which consists of timely mandate procedure, hole detection algorithm, and sensitive guard procedure to detect the maliciously behaving nodes. …”
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An Improved Robust Principal Component Analysis Model for Anomalies Detection of Subway Passenger Flow by Xuehui Wang, Yong Zhang, Hao Liu, Yang Wang, Lichun Wang, Baocai Yin

“…In this method, an improved robust principal component analysis model is presented to detect anomalies; then ST-DBSCAN algorithm is used to group the station-level anomaly data on space-time dimensions to reveal the propagation law and potential impact of different anomaly events. …”
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AI-Driven Sustainable Marketing in Gulf Cooperation Council Retail: Advancing SDGs Through Smart Channels by Hanadi Salhab, Munif Zoubi, Laith T. Khrais, Huda Estaitia, Lana Harb, Almotasem Al Huniti, Amer Morshed

“…While these benefits are real, data privacy and algorithmic bias remain valid concerns, thus underlining the need for ethics and transparency in the practice of AI. …”
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ResInceptNet-SA: A Network Traffic Intrusion Detection Model Fusing Feature Selection and Balanced Datasets by Guorui Liu, Tianlin Zhang, Hualin Dai, Xinyang Cheng, Daoxuan Yang

“…The model used the PCA-ADASYN algorithm to compress network traffic features, extract high-correlation feature datasets, and oversample and balance the feature datasets to classify abnormal network traffic. …”
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An Enhancement Deep Feature Extraction Method for Bearing Fault Diagnosis Based on Kernel Function and Autoencoder by Fengtao Wang, Bosen Dun, Xiaofei Liu, Yuhang Xue, Hongkun Li, Qingkai Han

“…Finally, softmax is adopted as the classifier to accurately identify different bearing faults, and error backpropagation algorithm is used to fine-tune the model parameters. …”
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A novel sea surface evaporation scheme assessed by the thermal rotating shallow water model by Masoud Rostami, Stefan Petri, Bijan Fallah, Farahnaz Fazel‐Rastgar

“…The model is tested across different seasons to assess its reliability under various weather conditions. The Dedalus algorithm, which handles spin‐weighted spherical harmonics, is employed to address the pseudo‐spectral problem‐solving tasks of the model.…”
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Vertical Force Monitoring of Racing Tires: A Novel Deep Neural Network-Based Estimation Method by Semih Öngir, Egemen Cumhur Kaleli, Mehmet Zeki Konyar, Hüseyin Metin Ertunç

“…A hybrid model, termed Random Forest Assisted Deep Neural Network (RFADNN), is introduced, combining a novel deep learning framework with the Random Forest Algorithm to enhance estimation accuracy. By leveraging the Temporal Convolutional Network (TCN), Minimal Gated Unit (MGU), Long Short-Term Memory (LSTM), and Attention mechanisms, the deep learning framework excels in extracting complex features, which the Random Forest Model subsequently analyzes to improve the accuracy of estimating vertical tire forces. …”
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An optimizated additional damping control for suppressing ultra‐low frequency oscillation suppression based on SVC by Huabo Shi, Chengwei Fan, Xueyang Zeng, Gang Chen, Baorui Chen, Zhen Chen

“…Consequently, a parameter optimization design method for SVC additional damping control is proposed, it is modelled as the optimization problem of damping ratio in ULFO mode under multi‐operation conditions, which is solved by a particle swarm optimization algorithm. Finally, the effectiveness of the designed SVC additional damping controller is verified in the improved four‐machine two‐area power system and the actual power grid in China.…”
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Low-Resolution Quantized Precoding for Multiple-Input Multiple-Output Dual-Functional Radar–Communication Systems Used for Target Sensing by Xiang Feng, Zhongqing Zhao, Jiongshi Wang, Jian Wang, Zhanfeng Zhao, Zhiquan Zhou

“…Furthermore, we propose a dynamic projection refinement algorithm within the alternating direction method of multiplier framework to efficiently solve these sub-problems. …”
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Understanding activation and growth of twin variants in polycrystalline magnesium under tension and compression: An atomistic study by Huicong Chen, Cheng Chen, Jun Song, Stephen Yue

“…In this work, considering polycrystalline Mg, we performed comprehensive molecular dynamics simulations to investigate deformation twinning under uniaxial tension and compression loading. An algorithm has been developed and implemented to identify the active twin variants of three operating twin modes during deformation. …”
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Energy efficient control of indoor environments under time-varying multi-parameter uncertainty by Jianhao ZHAO, Hua SONG, Xinyuan NAN, Xin CAI

“…Experiments show that the proposed DDPG-PER algorithm can control the indoor environment within the required range by combining multiple time-varying parameters under different outdoor air quality conditions in winter and summer seasons. …”
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The problem of assessing endurance of hull elements of low-flying orbital objects by I. Yu. Lesnyak, Z. N. Sokolovsky, M. A. Fedorova, S. V. Gavrilenko, A. Yu. Kazakov, V. E. Konovalov

“…An indirect calculation is proposed on the basis of available experimental data on mechanical tests of samples with the «stress» parameter and an algorithm for transition from actual deformations to equivalent stresses. …”
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Road Traffic Flow Speed on Rural Roads in Latvia by Juris Kreicbergs, Katerina Folla, Juris Smirnovs

“… The aim of this article is to perform a comprehensive analysis of the data obtained during flow speed measurements on Latvian national roads. An algorithm for data selection was developed and implemented allowing for an analysis of comparable and unbiased traffic flow measurement data. …”
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Integration of Non-Destructive Testing Technologies for Effective Monitoring and Evaluation of Road Pavements by Christina Plati, Angeliki Armeni, Andreas Loizos

“…The procedure, referred to as Integrated Testing and Evaluation (ITE), is proposed as an algorithm to find optimal strategies for prioritizing potential pavement interventions, considering the budget constraints for the required investigations.…”
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Dual-Vehicle Heterogeneous Collaborative Scheme with Image-Aided Inertial Navigation by Zi-Ming Wang, Chun-Liang Lin, Chian-Yu Lu, Po-Chun Wu, Yang-Yi Chen

“…Our approach harnesses advanced image feature-recognition techniques, employing an enhanced scale-invariant feature transform algorithm and a neural network model. The recognition of prominent scene features is prioritized, thus improving recognition speed and precision. …”
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A Trajectory Prediction Method for Reentry Glide Vehicles via Adaptive Cost Function by Yangchao He, Jiong Li, Lei Shao, Chijun Zhou, Xiangwei Bu

“…The results of the simulations demonstrate that the proposed prediction method is capable of accurately inferring the vehicle’s attack intention and parameter model, and of effectively reducing the accumulation of prediction errors and the time required for the algorithmic process compared to existing methods.…”
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