Optimization and modeling of the insulating and mechanical properties of fired ceramics for sustainable construction by Abiola Oluwasogo Oyediran, Oluwatosin Abiodun Balogun, Ronke Boluwatife Balogun, Seun Ganiyu Mosuru, Abayomi Adewale Akinwande, Opeoluwa Israel Akinradewo

“…This study evaluates the experimental outcomes obtained from the use of locally sourced bulk clay for building construction. Wood sawdust (WSD) was added as a pore former in proportions of 0, 1, 2, 3, 4, and 5 wt%, and firing was performed at 1200 °C and 1400 °C. …”
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A Survey on Hyperparameters Optimization of Deep Learning for Time Series Classification by Ayuningtyas Hari Fristiana, Syukron Abu Ishaq Alfarozi, Adhistya Erna Permanasari, Mahardhika Pratama, Sunu Wibirama

“…This review examines the HPO methods, hyperparameters, and tools utilized in this context based on 77 primary studies sourced from academic databases. …”
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Sinh-Cosh Optimization-Based Efficient Clustering for Big Data Applications by Lahbib Khrissi, Mohammed Es-Sabry, Nabil El Akkad, Hassan Satori, Saad Aldosary, Walid El-Shafai

“…To evaluate the effectiveness of the suggested approach, we conduct a comparative analysis against four widely acknowledged metaheuristic methods found in the literature. The assessment is performed using ten standard datasets sourced from the UCI Machine Learning Repository. …”
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Research on Random Discrete Ordinates Method Based on Quasi-Monte Carlo Integration Technique by DAI Tao, XU Longfei, LI Baiwen, SHEN Huayun, HU Yuan, MA Ruiyao

“…To address this defect, numerous of ray effect mitigation methods were developed. The virtual source method is formulated through the strategic introduction of pseudo-source terms into the SN equations, establishing equivalence with spherical harmonics (PN) formulations to eliminate ray effects. …”

Comparative analysis of geothermal and reservoir numerical simulation methods by GAI Changcheng, LI Hongda, REN Lu, CAO Wei, HAO Jie

“…By comparing the foundational mathematical models, numerical methods, and case studies of geothermal and reservoir simulations, this study highlights the similarities and differences in their application to the development of these two energy sources. …”
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Prediction of stock market using sentiment analysis and ensemble learning by Dr․ Archana Y. Chaudhari, Dr․ Smita Mahajan

“…The created computational framework intends to deliver actionable insights, directing investors on optimal buy or sell decisions to maximize profit potential by synthesizing historical data within customized training and trading scenarios. • This study implements the Stock market prediction based on Deep Reinforcement Learning (DRL) using Technical Analysis and financials’ statement. • DRL models like A2C, PPO2, and SAC, using data from Yahoo Finance, enhance investment decisions. • The proposed Policy Adaptation with Trust Region Optimization (PACTRO) method optimizes policy adaptation within trust regions. • Key technical indicators like ROC, MACD, Bollinger Bands, and RSI are crucial inputs for the prediction framework, helping guide optimal investment decisions.…”
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Optimization for threat classification of various data types-based on ML model and LLM by Chaerim Hong, Taeyeon Oh

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Study on application-oriented evaluation method for stealth materials by CUI Yiwen, LI Peishan, MA Lianfeng, ZHOU Hai

“…The method improves the shape of the test specimen to weaken the interference of the non-examination scattering source on the test results as much as possible. …”
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Study on Optimization of Geothermal Tail Water Reinjection Process in Moderately Deep Sandstone by Hongyan Li, Pengtao Wang, Bin Liu, Xianyu Zhang, Shiyan Guo, Hui Xiao, Hai Huang

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Personalized-Template-Guided Intelligent Evolutionary Algorithm by Dongni Hu, Xuming Han, Minghan Gao, Yali Chu, Ting Zhou

“…Existing heuristic algorithms are based on inspiration sources and have not yet done a good job of basing themselves on optimization principles to minimize and utilize historical information, which may lead to low efficiency, accuracy, and stability of the algorithm. …”
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Detection of child depression using machine learning methods. by Umme Marzia Haque, Enamul Kabir, Rasheda Khanam

“…As a result, our objective is to 1) create a model that can predict depression in children and adolescents aged 4-17 years old, 2) evaluate the results of ML algorithms to determine which one outperforms the others and 3) associate with the related issues of family activities and socioeconomic difficulties that contribute to depression.<h4>Methods</h4>The YMM, the second Australian Child and Adolescent Survey of Mental Health and Wellbeing 2013-14 has been used as data source in this research. …”
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Integral Absorbing Boundary Conditions Optimized for Modelling of Acoustic Radiation of Elongated Bodies by Mikhail B. Salin, Sergey A. Smirnov, Anatoliy S. Suvorov, Irina A. Usacheva, Irina A. V’yushkina

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Optimization of Calculating Invariants in Petri Nets to Support the Creation of Integration Testing Scenarios by M. G. Dorrer, V. V. Kurokhtin

“…The method uses an original translation process to build a Petri net corresponding to the source eEPC model, to find its invariants and to translate them back into the eEPC notation. …”
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PROBLEM OF OPTIMIZATION OF ENTERPRISE FINANCIAL STREAMS: URGENCY UNDER ECONOMIC CRISIS CONDITIONS by J. E. Gorbach, S. M. Kozlov

“…The paper presents for the first time «Combined optimization model». In order to develop the model the most commonly applied methods have been used, namely: an optimization  method on the basis of an average capital price, an optimization method on the basis of financial leverage effect and an optimization method on the basis of the average managing subject price. …”
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Optimizing Solar Panel Efficiency: Integration of Dual Axis Solar Tracking and Reflectors by Alvin Rinaldi Wiharja, Levin Halim, Faisal Wahab

“…The dual-axis solar tracking method, using two linear actuators and optimized by fuzzy logic, efficiently positions solar panels for maximum sunlight exposure. …”
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Review of carbon emission accounting methods in coal enterprises by Yurong ZHENG, Wenbin SUN, Shouhang DU, Linye ZHU, Yuqi HUANG

“…However, the accounting process, characteristics, and the scope of application of different methods lack systematic summary. The process of carbon emission accounting of coal enterprises is sorted out by reviewing relevant literature in China and internationally: determining the target, determining the accounting boundary, identifying the emission source, establishing the accounting model, collecting data, calculating carbon emission, and evaluating the accounting accuracy. …”
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Optimizing the Cost of Process as a Decision-Making Tool to Determine the Selling Price by Mukti Prasaja, Rufaidho Dwi Lestari, Aan Nurrohman

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Multiobjective Optimization of Irreversible Thermal Engine Using Mutable Smart Bee Algorithm by M. Gorji-Bandpy, A. Mozaffari

“…A new method called mutable smart bee (MSB) algorithm proposed for cooperative optimizing of the maximum power output (MPO) and minimum entropy generation (MEG) of an Atkinson cycle as a multiobjective, multi-modal mechanical problem. …”
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An Analytical Approach to Power Optimization of Concentrating Solar Power Plants with Thermal Storage by Andrii Cheilytko, Spiros Alexopoulos, Andriy Pozhuyev, Oliver Kaufhold

“…This paper presents a mathematical optimization model that focuses on the capacity of concentrated solar power plants where thermal storage plays a key role in the energy source. …”
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Optimization of the Driving Mode Transformation of Hybrid Electric Bus based on Genetic Algorithm by Zhao Lijun, Li Shoucheng, Wei Guangpu, Zhang Hongsheng

“…The hybrid electrical city bus has two power sources to drive vehicle,so the control of vehicle driving mode transformation is become the core of the vehicle control strategy.It not only influences the vehicle fuel economy and emissions,but also influences the driving comfort of the vehicle.An HEV simulation model is built for performance analysis by interlinking of advanced software AVL CRUISE and Matlab/Simulink.By adjusting threshold of the driving mode transformation,the mode can be transformed smoothly.For achieving minimum equivalent fuel consumption,the genetic algorithm（GA）optimization method is applied to get the optima of control parameters which affect the vehicle driving mode transformation in different city bus cycles including Europe and China.The vehicle fuel economy is further improved.…”
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