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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Automated Design and Parametric Modeling of Excavator Buckets by Nikolay Stankov, Aleksandar Ivanov

“…Using the presented methodology leads to a reduction in the volume of created documentation and optimizes the design process, providing the opportunity for rapid adaptation to various client requirements. …”
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Strategy for diagnosis and correction of vaginal dysbiosis in terms of preparation of pregnant for planned cesarean section and prevention of postpartum endometritis by Voronin K.V., Alale A.M., Alale I.I., Dzyba Y.N.

“…We propose a diagnostic algorithm, drug correction and prevention for this common group of patients.…”
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Impact of TMDI on pounding mitigation of insufficiently separated buildings exposed to earthquakes with varying frequencies by Ayman Abd-Elhamed, Sayed Mahmoud, Alaa Sherif, Haytham Essam Amin

“…In addition, the frequency content of the applied earthquake records is an important parameter in dictating the response reduction.…”
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Optimal Coordination of Directional Overcurrent Relays Using an Exponential-Based Non-Standard Characteristic and the Nutcracker Optimizer by Alişan Ayvaz

“…Especially, the results demonstrate that the exponential-based non-standard relay characteristic used in the proposed method achieves approximately a 67% reduction in relay operating times compared to the standard relay characteristic (normally inverse) for the IEEE 15-bus system.…”
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ANALYSIS AND IMPLEMENTATION OF A CRYPTOSYSTEM BASED ON NON-INJECTIVE KNAPSACKS by Maria Sabina A. Volkov

“…To control the complexity of the decryption algorithm, methods are proposed to limit the average number of solutions to the knapsack problem. …”
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PUMPING PRESSURE AND FLOW RATE RELATIONSHIP TO REDUCE ENERGY CONSUMPTION IN IRRIGATION SYSTEMS by Esmeralda CHIORESCU

“…The implementation of (p-Q)c in the SCADA system software at PPS 2 in the Trifești-Sculeni irrigation system, in the eastern part of Romania, determined a reduction of energy consumption by up to 16%.…”
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Analysis of Bridge Health Detection Based on Data Fusion by Ying Chen, Jiuhong Zhang, Yanfeng Li, Jialong Li

“…A rough neural network algorithm integrating the rough set and neural network was applied to data fusion of the database, with the attribute-reduction function of the rough set used to reduce the input dimension of the neural network. …”
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KICA-DPCA-Based Fault Detection of High-Speed Train Traction Motor Bearings by Yunkai Wu, Yu Tian, Yang Zhou

“…Finally, the proposed algorithm is validated on both simulation data from the Traction Drive Control System-Fault Injection Benchmark (TDCS-FIB) platform and experimental data from the Case Western Reserve University bearing fault dataset. …”
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