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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Bankruptcy rules and sustainable water management: A MODSIM-NSGAII simulation multi-objective optimization framework for equitable transboundary water allocation by Bentolhoda Asl-Rousta, S. Jamshid Mousavi

“…Results indicate that the optimal bankruptcy coefficients for Iran and Iraq are 100 and 88, respectively, suggesting a 12% reduction in Iraq's agricultural water demands. Additionally, efficient water management practices and the cultivation of high-value agricultural products in Iraq are proposed to enhance the reasonable utilization of water in this country.…”
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Bayesian Uncertainty Quantification of Reflooding Model With PSO–Kriging and PCA Approach by Ziyue Zhang, Dong Li, Nianfeng Wang, Meng Lei

“…To improve the process of best estimate plus uncertainty (BEPU) for nuclear safety assessment and calibration of thermal–hydraulic models for error reduction, inverse uncertainty quantification (IUQ) is proposed in recent years to quantify the uncertainty of model parameters in reactor program. …”
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The development of signing and verification methods for high speed digital signatures on electronic official documents by using RSA cryptography by Kritsanapong Somsuk

“…This research introduces an algorithm for signing and verifying digital signatures on electronic official documents to establish the authenticity of a person’s identification. …”
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Progressive active inference method of protocol state machine by Yan PAN, Wei LIN, Yuefei ZHU

“…Protocol state machine active inference is a technique that relies on active automata learning.However, the abstraction of the alphabet and the construction of the mapper present critical challenges.Due to the diversity of messages of the same type, the response types of the same type are different, causing the method of regarding the message types as the alphabet will result in the loss of states or state transitions.To address the issue, message types were refined into subtypes according to the different responses and a progressive active inference method was proposed.The proposed method extracted the state fields from the existing protocol data to construct the initial alphabet and the mapper, and obtained the initial state machine based on active automata learning.It then mutated the existing messages to explore the response sequences, which were inconsistent with the current state machine.The mutated message was regarded as a protocol subtype and added to the alphabet, and a new state machine was inferred progressively based on the new alphabet.In order to reduce the interactions, a pre-response query algorithm was proposed based on prefix matching for the caching mechanism in the active automata learning.The ProLearner tool was utilized to evaluate the proposed method in the context of the SMTP and RSTP protocols.It is verified that the pre-response query method can effectively reduce the number of actual interactions, with an average reduction rate of about 10%.…”
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Super Twisted Sliding Mode Observer for Enhancing Ventilation Drive Performance by Prince, Byungun Yoon

“…The STSMO leverages the super twisted algorithm, a second-order SM technique, to minimize chattering while ensuring finite-time convergence and high resilience. …”
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Reduced-Reference Image Quality Assessment based on saliency region extraction by Farzin Yaghmaee, Ehsanhosein Kalatehjari

“…Therefore, the reference image is described as a squared covariance matrix and a good data reduction is achieved. The same process is used for describing the received image in the destination. …”
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Robust Direct Torque Control with Super-Twisting Sliding Mode Control for an Induction Motor Drive by Saber Krim, Soufien Gdaim, Mohamed Faouzi Mimouni

“…The main interest of the FPGA-implementation is the reduction of the control loop delay, which is evaluated to a few microseconds, thanks to the parallel processing offered by the FPGA. …”
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THE SELECTION OF GEOMETRIC CHARACTERISTICS FOR CIRCULAR MULTI-LAYERED PIEZOELECTRIC PLATES by O. V. Ratmanova, D. A. Shlyakhin

“…In this case, each time the standardization procedure is preliminarily performed (reduction of the boundary conditions to a form, which allows to apply the corresponding transformation).Result. …”
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Numerical Simulation and Optimization of Wind Effects of Porous Parapets on Low-Rise Buildings with Flat Roofs by Ye Qiu, Bingbing San, Youyi Zhao

“…This paper presents a procedure to optimize the porosity of parapets to improve the aerodynamic behavior of low-rise buildings with flat roofs, by coupling an optimization algorithm and computational fluid dynamics (CFD) simulations. …”
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DISEASES OF THE CARDIOVASCULAR SYSTEM – PREVENTIVE AND EDUCATIONAL ACTIVITIES WITHIN THE COUNTY PROGRAM OF PROPHYLAXIS AND PREVENTION OF HEALTH “TOGETHER FOR THE HEART” AMONG THE I... by Anna Ślifirczyk

“…Introduction Cardiovascular diseases are the most common cause of death in the world. The reduction of those risk factors minimizes the probability of disease, while in ill patients it causes a milder course of ailments and fewer complications (Kosobudzki, Bortkiewicz, 2012). …”
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Virtualized Network Function Consolidation Based on Multiple Status Characteristics by Dandan Qi, Subin Shen, Guanghui Wang

“…The neural network is trained using the particle swarm optimization algorithm (PSO). VCMM migrates VNFs on servers to be turned off by adopting a greedy mechanism. …”
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Effective Breast Cancer Classification Using Deep MLP, Feature-Fused Autoencoder and Weight-Tuned Decision Tree by Nagham Rasheed Hameed Alsaedi, Mehmet Fatih Akay

“…This paper presents an advanced machine learning algorithm designed to improve classification accuracy in breast cancer diagnosis. …”
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