Analysis on Solar Power Plant Placement and Distribution Grid Issues Utilizing Monte Carlo Simulation and Teaching Learning-Based Optimization by Ersan Omer Yuzer, Ibrahim Cagri Barutcu

“…Through the use of Teaching–Learning–Based Optimization (TLBO) and Monte Carlo Simulation (MCS) in conjunction with an emphasis on chance-constrained approaches, this study contributes to the enhancement of the body of literature for optimal PV installation in distribution networks. …”
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Taguchi experimental matrix optimization of two plant-based concretes with sargassum (Sargassum fluitans) and peanut shell (Arachis hypogaea) aggregate by Felipe Rosas-Díaz, Elizabeth Valles-Capetillo, Daniel López-Serna, César A. Juárez-Alvarado

“…This demonstrates that the appropriate dosage of the compound allows for attaining optimized properties for non-structural applications in buildings.…”
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Optimizing the Mechanical and Microstructure Characteristics of Stir Casting and Hot-Pressed AA 7075/ZnO/ZrO2 Composites by P. Satishkumar, C. Saravana Murthi, Rohinikumar Chebolu, Yenda Srinivasa Rao, Rey Y. Capangpangan, Arnold C. Alguno, Vishnu Prasad Yadav, M. Chitra, Mahesh Gopal

“…The composite was made using the stir cast manufacturing method. Many parameters, like stirring speed, stirring time, ZrO2% reinforcement, and cast temperature, are evaluated in a Taguchi experimental design to see how they affected the composite properties. …”
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A Novel Chaotic Particle Swarm Optimized Backpropagation Neural Network PID Controller for Four-Switch Buck–Boost Converters by Luoyao Ren, Dazhi Wang, Xin Yan, Yupeng Zhang, Jiaxing Wang

“…The emergence of intelligent control strategies has made optimization techniques essential for the precise control of DC converters. …”
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Non-convex optimization with using positive-negative moment estimation and its application for skin cancer recognition with a neural network by P.A. Lyakhov, U.A. Lyakhova, R.I. Abdulkadirov

“…The introduction of the developed algorithms into the learning process of various architectures of multimodal neural network systems for analyzing heterogeneous data has made it possible to increase the accuracy of recognizing pigmented skin lesions by 2.33 – 5.69 percentage points, compared to the original optimization methods. …”
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Reinforcement Learning for Stability-Guaranteed Adaptive Optimal Primary Frequency Control of Power Systems Using Partially Monotonic Neural Networks by Hamad Alduaij, Yang Weng

“…Flexibility is allowed by the design when adaptation to changes to the system parameters is made, while the Lyapunov stability guarantee is retained. …”
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Optimization of the Ball Milling Process for Producing Superfine Green Tea Powder: An Analytic Hierarchy Process–Fuzzy Comprehensive Evaluation Approach by Yangpujia Zhou, Guohao Liu, Tao Zhou, Sui Ni

“…The production process of SGTP was optimized using the response surface methodology (RSM). …”
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Integrated Energy System Optimal Dispatch Considering Oxy-Fuel Combustion Carbon Capture Technology and Source-Load Bilateral Response by Haizhu YANG, Yanan BAI, Peng ZHANG, Zhongwen LI

“…In order to reduce the carbon emission level of gas turbines and improve their flexibility, this paper proposes a low-carbon economic optimization strategy for the integrated energy system that takes into account oxy-fuel combustion carbon capture technology and source-load bilateral response. …”
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Molecular structure data and modelling roadmap for optimized oxidized graphene quantum dot and epoxy interface and mechanical propertiesMendeley Data by Prathamesh Deshpande, Robert Chan-Jobe, Ozgur Keles

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Kepatuhan Wajib Pajak UMKM dalam Pelaporan Pajak: Studi Kualitatif Kabupaten Polewali Mandar by Meliana, Ni Made Sintya Surya Dewi

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Optimal Interpolation Method for Generating a Digital Bathymetric Model for Shallow Waters: A Case Study over Mauritius Coast by Satpute Shwetambari, Roy Subham, Gatage Omkar Shashikant, Kolase Vaibhav Balaso, Singh Suraj Kumar, Dandabathula Giribabu

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An intelligent object detection and classification framework for assisting visually challenged persons using deep learning and improved crow search optimization by Alaa O. Khadidos, Ayman Yafoz

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Using Soil Apparent Electrical Conductivity to Optimize Sampling of Soil Penetration Resistance and to Improve the Estimations of Spatial Patterns of Soil Compaction by Glécio Machado Siqueira, Jorge Dafonte Dafonte, Javier Bueno Lema, Montserrat Valcárcel Armesto, Ênio Farias França e Silva

“…The measurements were made at a 6 ha field cropped with forage maize under no-tillage after sowing and located in Northwestern Spain. …”
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Big Book Learning Media Improves the Moral Behavior of Early Childhood by Kadek Dian Ardayani, I Made Suarjana

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Study of the effect of a bulking agent on the biodrying of municipal solid waste by I Made Wahyu Widyarsana, Suci Wulandari

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Optimizing nutrition interventions: recommendations for pre- and post-bariatric adult patients to achieve long-term success—a systematic review by Fardous Soliman, Amr Mattar, Shaimaa Muhammad Mostafa, Monica Saweris, Rasha Mohammed Abdullah Bin Subih, Dina Mohamed Abdelhalim Aboutaleb Kaddah, Hanaa Abdelwahab

“…Further research is recommended to explore non-surgical interventions and optimize dietary strategies for diverse patient populations.…”
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Unlocking optimism in everyday life: a short-term study on the power of live comedy to reduce stress and anxiety in general public by Toshiko Tomisawa, Kayo Horie, Naoya In, Naoki Nanashima, Shizuka Takamagi, Kasumi Mikami

“…Factors contributing to optimism were strongly influenced by the degree to which people made them laugh, as well as pessimism, anxiety, and forced laughter.Conclusion The personal factors contributing most strongly to optimism were ‘A state that makes you laugh,’ as well as pessimism, anxiety, and a low level of ‘Forced Laughter.’ …”
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Optimizing a community-based intervention to improve help-seeking for depression care: study protocol for a randomized factorial trial by Nagendra P. Luitel, Brandon A. Kohrt, Bishnu Lamichhane, Anvita Bhardwaj, Kamal Gautam, Mark JD Jordans

“…Although efforts have been made in LMICs to improve access to mental health services by addressing supply-side barriers, there has been less attention to demand-side obstacles. …”
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An application of Arctic puffin optimization algorithm of a production model for selling price and green level dependent demand with interval uncertainty by Hachen Ali, Md. Al-Amin Khan, Ali Akbar Shaikh, Adel Fahad Alrasheedi, Seyedali Mirjalili

“…Subsequently, a post-optimality analysis examines the quantitative effects of changes made to different inventory parameters, which results in an insightful conclusion. …”
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Optimizing Intermodal Port–Inland Hub Systems in Spain: A Capacitated Multiple-Allocation Model for Strategic and Sustainable Freight Planning by José Moyano Retamero, Alberto Camarero Orive

“…The COVID-19 crisis, the Suez Canal incident, and the persistent tensions in the Red Sea have made clear the fragility of traditional freight corridors linking Asia and Europe. …”
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