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New directions processing of technogenic waste of the copper industry
Published 2022-10-01“…At the present time, in the mining and metallurgical industry there are trends in the processing of man-made waste that have accumulated over the course of many years. …”
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802
Determining Optimal Measurement Time Points for SPAD and Canopy Temperature in Drought Tolerant Cotton (Gossypium hirsutum L.) Breeding
Published 2024-06-01“… This study investigates optimal physiological parameter measurement times in Gossypium hirsutum L. to assess the effects of drought stress. …”
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803
Neural network method of the decision Of the nonlinear problem of optimum distribution of the non-uniform resource
Published 2021-04-01“…In offered neural network method the task in view decision is made by means of a recurrent neural network (RNN) matrix architecture with m neurons in each line and n neurons in each column. …”
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804
Development, optimization and integrated characterization of rice-based yogurt alternatives enriched with roasted and non-roasted sprouted barley flour
Published 2025-01-01“…In this study, a novel gurt made with rice (10 %) and sprouted barley (5 %), was designed. …”
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805
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807
Ann modeling of kerf transfer in Co2 laser cutting and optimization of cutting parameters using monte carlo method
Published 2015-01-01“…In this paper, an attempt has been made to develop a mathematical model in order to study the relationship between laser cutting parameters such as laser power, cutting speed, assist gas pressure and focus position, and kerf taper angle obtained in CO2 laser cutting of AISI 304 stainless steel. …”
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808
Optimal precision of coarse structural nested mean models to estimate the effect of initiating ART in early and acute HIV infection
Published 2025-02-01“…Coarse SNMMs lead to a large class of estimators, with widely varying estimates and standard errors. To optimize precision, we derive an explicit solution for the optimal coarse SNMM estimator. …”
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809
Comparative Analysis of Some Methods and Algorithms for Traffic Optimization in Urban Environments Based on Maximum Flow and Deep Reinforcement Learning
Published 2025-07-01“…The results show that classical algorithms such as Edmonds–Karp and Dinitz perform stably under deterministic conditions, while Double <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mi>D</mi><mi>Q</mi><mi>N</mi></mrow></semantics></math></inline-formula> suffers from high variation. Recommendations are made regarding the selection of an appropriate algorithm based on the characteristics of the environment, and opportunities for improvement using DRL techniques such as PPO and A2C are indicated.…”
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810
Printability Optimization of LDPE-Based Composites for Tool Production in Crewed Space Missions: From Numerical Simulation to Additive Manufacturing
Published 2025-06-01“…In this study, we aimed to apply FFF to the 3D printing of recycled space beverage packaging, made of LDPE and a PET-Aluminum-LDPE (PAL) trilaminate. …”
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811
ANALYSIS AND OPTIMAL CONTROL OF TUBERCULOSIS DISEASE SPREAD MODEL WITH VACCINATION AND CASE FINDING CONTROL (CASE STUDY: SURABAYA CITY)
Published 2024-05-01“…Therefore, efforts are being made to control the spread of tuberculosis disease through vaccination and case finding, with the aim of reducing the population of latently infected and actively infected individuals. …”
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812
A Genetic algorithm aided hyper parameter optimization based ensemble model for respiratory disease prediction with Explainable AI.
Published 2024-01-01“…Moreover, to enhance the efficacy of the predictions made by hyperparameter-optimized machine learning models, an ensemble model is proposed using a stacking classifier. …”
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813
Optimization Method and Stability Test to Determinate Luteolin, Quercetin, Apigenin, and Sinensetin Levels in Herbal Medicines Using TLC-Densitometry
Published 2022-12-01“…Therefore, standard solutions and samples must be made fresh to maintain stability.…”
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814
Degradation-Aware Bi-Level Optimization of Second-Life Battery Energy Storage System Considering Demand Charge Reduction
Published 2025-07-01“…This article proposes a two-layered energy management algorithm (monthly layer and daily layer) for demand charge reduction for an industrial consumer using photovoltaic (PV) panels and BESSs made of retired EV batteries. In the proposed algorithm, the monthly layer (ML) calculates the optimal dispatch for the whole month and feeds the output to the daily layer (DL), which optimizes the BESS dispatch, BESSs’ degradation, and energy imported/exported from/to the grid. …”
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815
Research on heat transfer optimization of heat sink based on phase change isothermal technology for deep hole drilling machine
Published 2023-07-01“…Secondly, the performance of the newly designed and optimized heat sinks with phase change isothermal technology for deep hole drilling machine was compared with that of the conventional finned heat sink of the same size. …”
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816
An Optimized and Energy-Efficient Ad-Hoc On-Demand Distance Vector Routing Protocol Based on Dynamic Forwarding Probability (AODVI)
Published 2022-01-01“…MANET (mobile ad-hoc network) is a wireless ad-hoc network made up of mobile devices that use peer-to-peer routing to provide network access instead of using a preexisting network infrastructure. …”
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817
Recurrent academic path recommendation model for engineering students using MBTI indicators and optimization enabled recurrent neural network
Published 2025-07-01“…Abstract In recent years, the rapid expansion of online learning content has made it increasingly difficult for students to identify suitable educational pathways. …”
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818
Vitamin K (Menaquinone) from marine Kocuria sp. RAM1: optimization, characterization and potential in vitro biological activities
Published 2025-06-01“…Conclusions Our study was made to evaluate MKs obtained from the Red Sea Kocuria sp. …”
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819
On Explainability of Reinforcement Learning-Based Machine Learning Agents Trained with Proximal Policy Optimization That Utilizes Visual Sensor Data
Published 2025-01-01“…In this paper, we address the issues of the explainability of reinforcement learning-based machine learning agents trained with Proximal Policy Optimization (PPO) that utilizes visual sensor data. …”
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820
Simultaneous Optimization of Delamination and Thrust Force during Drilling of GFRP Laminate with a Core Drill by E-PIV Method
Published 2024-07-01“…Drilling is a vital machining task required to put the structures made of these composites together. However, these GFRP composites need more precise machining than metallic materials. …”
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