Desain Penilaian Risiko Privasi pada Aplikasi Seluler Melalui Model Machine Learning Berbasis Ensemble Learning dan Multiple Application Attributes by R. Ahmad Imanullah Zakariya, Kalamullah Ramli

“…The likelihood assessment is performed by combining ensemble learning predictions and information on multiple application attributes, while the severity assessment is performed by utilizing the number and characteristics of permissions. …”
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Teens and opioids postsurgery (TOPS): protocol for a prospective observational study describing associations between sleep deficiency and opioid use following outpatient surgery in... by Tonya Palermo, Jennifer A Rabbitts, Cornelius B Groenewald, Rebecca L Flack, Sophia L Kreider

“…We will apply modern machine learning algorithms to develop and validate models predicting adolescent prescription opioid misuse at 24 months from surgery.Ethics and dissemination This study was approved by Advarra’s Center for Institutional Review Board Intelligence (CIRBI) (Protocol 00072049), which serves as the single IRB of record for this multisite study.…”
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Enhancing energy efficiency of industrial boiler application by the integration of ground-source heat pumps and photovoltaic-thermal solar water collectors by Praveen Barmavatu, Baburao Gaddala, Sharun Mendonca, Sonali Anant Deshmukh, Marco Rosales-Vera, Hussein Togun, Ramalinga Viswanathan Mangalaraja, Vineet Singh Sikarwar

“…Optimization was achieved using a hybrid approach that combined Genetic Algorithms (GA) and machine learning (ML) techniques, which iteratively improved system design and operational strategies. …”
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Thorough Understanding and 3D Super-Resolution Imaging for Forward-Looking Missile-Borne SAR via a Maneuvering Trajectory by Tong Gu, Yifan Guo, Chen Zhao, Jian Zhang, Tao Zhang, Guisheng Liao

“…The proposed algorithm first focuses on the track-vertical plane to extract 2D position parameters. …”
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Stacking data analysis method for Langmuir multi-probe payload by Jin Wang, Jin Wang, Duan Zhang, Qinghe Zhang, Qinghe Zhang, Xinyao Xie, Fangye Zou, Qingfu Du, Qingfu Du, V. Manu, Yanjv Sun

“…This study uses a stacking algorithm to process m-NLP data and incorporates the International Reference Ionosphere (IRI) model to correct the predicted electron density (Ne) values. …”
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Multi-Objective Parameter Optimization of Electro-Hydraulic Energy-Regenerative Suspension Systems for Urban Buses by Zhilin Jin, Xinyu Li, Shilong Cao

“…Subsequent non-dominated sorting genetic algorithm II (NSGA-II) implementation enabled effective multi-objective optimization of key suspension parameters. …”
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Fuzzy logic-based simulation of a weighted integrated GNSS receiver for mitigating blocking interference effects by K. Bahmani, M.R. Mosavi, A. Sadr

“…Specifically, an average improvement of 36.50% in Root Mean Square (RMS) error and a 31.10% reduction in Geometric Dilution of Precision (GDOP) have been observed compared to the Least Squares (LS) method.…”
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Optimization of Central Pattern Generator-Based Torque-Stiffness-Controlled Dynamic Bipedal Walking by William Suliman, Chadi Albitar, Lama Hassan

“…Instead of the phase-dependent neural model used by Huang in 2014, we adopt the same structure for all the walking phases, reducing the number of connections between neurons. This reduction enables the employment of the particle swarm algorithm to find the optimal values of these parameters which lead to different solutions with different performance criteria. …”
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A Compact, Low-Profile Log-Periodic Meandered Dipole Array Antenna with an Artificial Magnetic Conductor by Oh Heon Kwon, Sungwoo Lee, Jong Min Lee, Keum Cheol Hwang

“…For compactness, a meander line configuration is implemented with dipole elements and optimized using a genetic algorithm (GA) to realize the LPMDA antenna. As a result, a size reduction of approximately 30% is achieved as compared to a conventional log-periodic dipole array antenna. …”
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Predominance Preferential Selection for Minimizing Surplus Parts in the Selective Assembly of a Flow Production System by Kanghyeon Shin, Hyobin Son, Kyohong Jin

“…This paper presents the Predominance Preferential Selection (PPS) algorithm, an advanced approach to optimizing selective assembly in flow production systems. …”
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Dynamic balance optimization method for aero-engine rotor without trial weight by Lingli Jiang, Changzhi Shi, Xuejun Li, Hui Ma, Yiming Cao

“…It achieves an average vibration reduction of 52.56%, outperforming the 45.23% of traditional on-site dynamic balancing. …”
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Validation of the Decomposition Method for Fast MIMO Over-the-Air Measurements by Bernhard Auinger, Thomas Zemen, Michael Gadringer, Adam Tankielun, Christoph Gagern, Wolfgang Bösch

“…The DM allows for a measurement time reduction of more than one order of magnitude. We provide an analytic and numerical analysis as well as measurements. …”
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How is the elementary students' creative thinking process in solving fraction problems using geometric and algebraic solutions? by Septi Triyani, I Ketut Budayasa, Siti Maghfirotun Amin

“…Data were collected by task-based interviews and analyzed through the sequence: data classification, data reduction, data presentation, interpretation, and conclusions. …”
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An Opportunistic Array Beamforming Technique Based on Binary Multiobjective Wind Driven Optimization Method by Zhenkai Zhang, Sana Salous, Hailin Li, Yubo Tian

“…Firstly, the emitted signal model and objective functions of optimization are presented. Then the algorithm proposes a new definition of the position vector of air parcel, and brings a good discretization interpretation of continuous WDO. …”
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An optimised scattering power decomposition method oriented to ship detection in polarimetric synthetic aperture radar imagery by Lu Fang, Wenxing Mu, Ning Wang, Tao Liu

“…Furthermore, pocket algorithm and support vector machine are adopted to solve linear non‐separable problems under complex experimental conditions in this study. …”
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Parameter-Matching Multi-Objective Optimization for Diesel Engine Torsional Dampers by Zhongxu Tian, Zhongda Ge

“…Parameter optimization of the damper was achieved via the NSGA-II multi-objective algorithm combined with a Bayesian-hyperparameter-optimized BP neural network. …”
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Audio Feature Space Analysis for Emotion Recognition from Spoken Sentences by Lukasz SMIETANKA, Tomasz MAKA

“…The results show that from an initial feature set containing 3198 attributes we have obtained the dimensionality reduction about 80% using feature selection algorithm. …”
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POA optimized VGG16-SVM architecture for severity level classification of Ascochyta blight of chickpea by Melaku Bitew Haile, Abebech Jenber Belay

“…In this work, we created customized version of VGGNet model to identify the Ascochyta blight’s severity level. For noise reduction, we combined the Gaussian and Adaptive Median Filters; for optimization, we employed the Pelican Optimization Algorithm (POA). …”
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An induction machine‐based drive system and supervisory control for application to smart water‐pumped storage and networks by O. S. Ebrahim, M. A. Badr

“…Under the wide umbrella of supervisory control, the following objectives are achieved: (1) Recurrent neural network (RNN) and RNN‐aided Kalman filter are proposed for wired and wireless sensor fault‐tolerant control of the plant based on Wald's likelihood ratio test. (2) Cheap fuzzy logic‐based availability assessment scheme is presented and deployed on cloud to arrange for preventive maintenance of the starter. (3) Robust energy saving mode decision‐making algorithm is developed for best energetic cost reduction. (4) Remote synchronisation method of multi‐motor starting with a mechanically switched capacitor is introduced to minimise voltage dip. …”
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Airspace restrictions due to conflicts increased global aviation’s carbon dioxide emissions in 2023 by Grégoire Dannet, Nicolas Bellouin, Olivier Boucher

“…Our analysis reveals an initial reduction of flights to and from East Asia that would have crossed the Russian territory. …”
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