Quality-on-Demand Compression of EEG Signals for Telemedicine Applications Using Neural Network Predictors by N. Sriraam

“…Three neural network models, single-layer and multi-layer perceptrons and Elman network are used and the results are compared with linear predictors such as FIR filters and AR modeling. …”
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Modeling of an Industrial-scale Adsorption Column Packed with Theobroma Cacao L. for the Removal of Ni (II) by Candelaria N. Tejada Tovar, Angel Villabona-Ortiz, Angel D. Gonzalez-Delgado

“…The results show that the Langmuir II – Lumped Linear Resistance (LDF) model to simulate the adsorption column for Ni (II) removal yields efficiencies of up to 96.4%. …”
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Variational approach to photonic quantum circuits via the parameter shift rule by Francesco Hoch, Giovanni Rodari, Taira Giordani, Paul Perret, Nicolò Spagnolo, Gonzalo Carvacho, Ciro Pentangelo, Simone Piacentini, Andrea Crespi, Francesco Ceccarelli, Roberto Osellame, Fabio Sciarrino

“…In this paper, we derive a formulation of the parameter shift rule for computing derivatives and integrals tailored to reconfigurable optical linear circuits and based on the Boson Sampling paradigm. …”
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Estimating the Capacity of Urban Transportation Networks with an Improved Sensitivity Based Method by Muqing Du, Xiaowei Jiang, Lin Cheng

“…From the numerical experiments, the accuracy of the derivatives for the linear approximation could significantly affect the converging of the SAB method. …”
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Nonclassical Parametric Variational Technique to Manipulability Control of a Serial-Link Robot That Is Used in Treatment of Femoral Shaft Fractures by Ghazwa F. Abd

“…Through numerical results and their practical application, we have developed an efficient method that yields positive outcomes.…”
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A branch-and-price solution strategy for integrated process planning and scheduling problems by Dung-Ying Lin, Che-Hao Chen

“…One of the critical features of the decomposition strategy is that the resulting subproblem can be reduced to a shortest path problem and can be solved with a proposed linear time algorithm. Numerical results show that the proposed B&P solution strategy can effectively and efficiently solve benchmark problem instances. …”
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Foliar feeding of rootstocks of various cultivars of hazelnuts (Corylus maxima Mill.) in the mother plantation for horizontal vegetative propagation by Н. О. Яремко

“…For ‘Koronchatyi’ cultivar, the use of 3% carbamide was the most efficient.…”
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Resilience-Uncertainty Nexus in Building Energy Management Integrated With Solar System and Battery Storage by Hasan Mehrjerdi

“…The stochastic mixed integer linear programming is implemented to minimize the objective functions. …”
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Deterministic reservoir computing for chaotic time series prediction by Johannes Viehweg, Constanze Poll, Patrick Mäder

“…Abstract Reservoir Computing was shown in recent years to be useful as efficient to learn networks in the field of time series tasks. …”
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Development of Sensitive and Specific Analysis of Vildagliptin in Pharmaceutical Formulation by Gas Chromatography-Mass Spectrometry by Ebru Uçaktürk

“…Prior to GC-MS analysis, VIL was efficiently derivatized with MSTFA/NH4I/β-mercaptoethanol at 60°C for 30 min. …”
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Bio-inspired cryptography based on proteinoid assemblies. by Panagiotis Mougkogiannis, Essam Ghadafi, Andrew Adamatzky

“…Additionally, it is energy efficient, performing about 200 operations per joule. …”
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DOA Estimation Based on Hybrid Digital and Analog Phase Alignment With Polynomial Rooting Approaches for Hybrid Massive MIMO Receive Array by Tsui-Ping Chang, Chao-Li Meng

“…To address the inherent high complexity associated with traditional HDAPA and analog phase alignment methods—primarily due to exhaustive linear spectrum searching with small step sizes—a more efficient method has been developed. …”
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Fault Estimation for Semi-Markov Jump Neural Networks Based on the Extended State Method by Lihong Rong, Yuexin Pan, Zhimin Tong

“…The observer gain parameters are computed using the linear matrix inequality (LMI) method. Numerical simulations validate the effectiveness and performance of the proposed fault estimation method.…”
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Exponentially Fitted Element-Free Galerkin Approach for Nonlinear Singularly Perturbed Problems by Jagbir Kaur, Vivek Sangwan

“…In order to verify the computational consistency and robustness of the proposed scheme, a variety of linear and nonlinear numerical examples have been considered and L∞ errors have been presented. …”
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Magnetic Resonance Imaging and Computed Tomography May Carry Similar (but Very Low) Risks of Carcinogenesis by Yuta Shibamoto

“…First, the basis for the linear no-threshold (LNT) hypothesis, which suggests a carcinogenic potential of CT, is now considered weak. …”
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Human Resource Information System with Machine Learning Integration by Jake R. Pomperada

“…Based on the thorough evaluation of the experts and respondents, it was found that the human resource information system is highly usable, secured, efficient, and provides a fast and easy way to manage employees' records and predict employees over using a supervised machine learning that uses the linear regression method.  …”
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Time‐specific encrypted range query with minimum leakage disclosure by Ozgur Oksuz

“…Users send logarithmic size information to the cloud server instead of sending linear size information.…”
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RELATION OF COAL FREEZING ADHESIVE STRENGTH WITH WATER-LUBRICATING COEFFICIENT OF KINETIC FRICTION by WANG ChunHua, XU HanWen, HAO ZhiYong, QU Hui, WANG ZhongXian

“…Coal is the important basic energy in China,however due to the problems of conveyor belt running deviation and avultion caused by freezing adhesive turnabout roller surface,it seriously restricts with coal mine safe and efficient production in cold regions during winter and brings huge economic losses to the company,although existing solutions have a certain ease of coal freezing adhesion but can not fundamentally solve the problem. …”
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Modeling of Multihop Wireless Sensor Networks with MAC, Queuing, and Cooperation by Jian Lin, Mary Ann Weitnauer

“…For EC networks, an appropriate metric is the network lifetime; for EH networks, an appropriate metric is, for example, the network throughput. To efficiently solve the models with high dimension, for the EC networks, we propose a novel computational algorithm by taking advantage of the stochastic shortest path structure of the problem; for the EH networks, we propose a dual linear programming based algorithm by considering the sparsity of the transition matrix. …”
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A kind of improved bivariate even order Bernoulli-type multiquadric quasi-interpolation operator and its application in two-dimensional coupled Burgers’ equations by Ruifeng Wu

“…Abstract Multiquadric quasi-interpolation is an efficient high-dimensional approximation algorithm. …”
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