Optimized deep learning model with integrated spectrum focus transformer for pavement distress recognition and classification by Wenlin Wu, Fenghua Zhu, Zheng Li, Xue Li, Xiaowei Li, Jinwen Wang

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Credit Rating Model of Small Enterprises Based on Optimal Discriminant Ability and Its Empirical Study by Zhanjiang Li, Lin Guo

“…This paper proposes a credit rating model of small enterprises based on optimal discriminant ability; the credit score gap of small enterprises within the same credit rating is the smallest, and the credit score gap of small enterprises between different credit ratings is the largest, which is the dividing principle of credit rating of small enterprises based on the optimal discriminant ability. …”
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Retracted: Optimization Simulation of English Speech Recognition Accuracy Based on Improved Ant Colony Algorithm by null Complexity

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Three-dimensional design, simulation and optimization of a centrifugal compressor impeller with double-splitter blades by Mohammadjavad Tasharrofi, Mojtaba Heidarian Shahri, Ali Madadi

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Multi-Scenario Progressive Planning Optimization of Shared Energy Storage Under Dual-Carbon Goals by ZHANG Ting, MA Yuze, WU Yunna

Subjects: “…shared energy storage|progressive planning optimization|multi-flexible adjustment resource coupling|multi-scenario analysis|new power system…”
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Optimizing Solar Energy Harvesting: A K‐Means Clustering Approach for Enhanced Efficiency and Viability by Li Bin, Muhammad Shahzad, Muhammad Farhan, Muhammad Sanaullah Khan, Mubaarak Abdulrahman Abdu Saif, Girmaw Teshager Bitew

“…It has emerged as a primary source; however, optimizing energy utilization and solar panel efficiency to maximize absorbed solar radiation remains a significant challenge. …”
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Optimization of the Production Parameters of Composites from Sugarcane Bagasse and Iron Salts for Use in Dye Adsorption by Carine Pereira da Silva, Marluce Oliveira da Guarda Souza, Walter Nei Lopes dos Santos, Laiana Oliveira Bastos Silva

“…In this study, mechanical mixtures of sugarcane bagasse and iron salts (nitrate, acetate, or a mixture of both) were subjected to thermal decomposition for producing iron oxide and carbonaceous composite materials, which were evaluated as adsorbents for removing dyes from water using methylene blue (MB) as a model system. Aiming to optimize the conditions for obtaining composite adsorbents, the Box-Behnken design (BBD) was used to study the effects of mass sugarcane bagasse/mass iron salt, type of mixture of sugarcane bagasse/iron salt, and temperature on the response to be obtained (adsorption capacity, qe) before the execution of the adsorption tests. …”
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Optimal linear quadratic control for wireless sensor and actuator networks with random delays and packet dropouts by Zhuwei Wang, Lihan Liu, Chao Fang, Xiaodong Wang, Pengbo Si, Hong Wu

“…It is shown that the optimal control law is the same for all locations of the controller placement. …”
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A Dynamic Opposite Learning Assisted Grasshopper Optimization Algorithm for the Flexible JobScheduling Problem by Yi Feng, Mengru Liu, Yuqian Zhang, Jinglin Wang

“…In this paper, a variant of grasshopper optimization algorithm (GOA) named dynamic opposite learning assisted GOA (DOLGOA) is proposed to solve FJSP. …”
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Adaptive Ensemble Learning Model-Based Binary White Shark Optimizer for Software Defect Classification by Jameel Saraireh, Mary Agoyi, Sofian Kassaymeh

Subjects: “…Binary white shark optimizer…”
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The Role of Optimal Intervention Strategies on Controlling Excessive Alcohol Drinking and Its Adverse Health Effects by Steady Mushayabasa

“…The control functions represent the efforts and policies aimed at weakening the intensity of social interactions between light and heavy drinkers and increase the fraction of treated individuals who permanently quit alcohol drinking. Optimal control results suggest that effective control of high-risk alcohol drinking can be achieved if more resources and efforts are devoted on weakening the intensity of social interactions between light and heavy drinkers.…”
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Hybrid intelligent optimization strategy of battery swapping station for electric vehicles based on reinforcement learning by Hongwei Yi, Huan Zhang, Jianghong Li, Yanling Zhao

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The Use of D-Optimal Mixture Design in Optimising Okara Soap Formulation for Stratum Corneum Application by Farrah Payyadhah Borhan, Siti Salwa Abd Gani, Rosnah Shamsuddin

“…Okara, soybean waste from tofu and soymilk production, was utilised as a natural antioxidant in soap formulation for stratum corneum application. D-optimal mixture design was employed to investigate the influence of the main compositions of okara soap containing different fatty acid and oils (virgin coconut oil A (24–28% w/w), olive oil B (15–20% w/w), palm oil C (6–10% w/w), castor oil D (15–20% w/w), cocoa butter E (6–10% w/w), and okara F (2–7% w/w)) by saponification process on the response hardness of the soap. …”
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A new computational method for sparse optimal control of cyber-physical systems with varying delay by Sida Lin, Dongyao Yang, Jinlong Yuan, Changzhi Wu, Tao Zhou, An Li, Chuanye Gu, Jun Xie, Kuikui Gao

“…Our goal was to obtain the optimal sparse feedback control matrix $ K $. For this, we proposed a sparse optimal control (SOC) problem governed by the cyber-physical system with varying delay, to minimize $ ||K||_0 $ subject to a maximum allowable compromise in system cost. …”
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Probabilistic Optimal Active and Reactive Power Dispatch including Load and Wind Uncertainties considering Correlation by Mahmmadsufiyan Shaik, Dattatraya N. Gaonkar, Ramakrishna S. S. Nuvvula, Polamarasetty P. Kumar, Baseem Khan

“…Hence, the uncertain nature of all the power system variables needs to be considered while dealing with the optimal planning and operation of modern power systems. …”
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Optimizing cryptographic protocols against side channel attacks using WGAN-GP and genetic algorithms by Purushottam Singh, Prashant Pranav, Sandip Dutta

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Blockchain-Driven Optimized Chaotic Encryption Scheme for Medical Image Transmission in IoT-Edge Environment by Goli Archana, Rajeev Goyal, K. M. V. Madan Kumar

“…This research study presents the block chain driven medical image encryption technique using modified honey badger optimization with the ensemble chaotic systems. The proposed block chain framework uses the divergent methods that integrates differential scroll, Hénon chaotic maps and modified honey badger optimization to generate the optimum keys and high secured image data. …”
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Accurate range-based distributed localization of wireless sensor nodes using grey wolf optimizer by Nabil Abdelkader Nouri, Abdenacer Naouri, Sahraoui Dhelim

“…The present paper presents an Accurate Localization Scheme that utilizes Grey Wolf Optimization (GWO) and is based on the Radio Signal Strength (RSS) ranging technique. …”
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Optimal Seismic Intensity Measure Selection for Isolated Bridges under Pulse-Like Ground Motions by Linwei Jiang, Jian Zhong, Min He, Wancheng Yuan

“…In general, PGV tends to be the optimal IM for isolated bridges under pulse-like ground motions based on practicality, efficiency, proficiency, and sufficiency criterions. …”
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Optimization of fermentation conditions to increase the production of antifungal metabolites from Streptomyces sp. KN37 by Xiaoyue Yang, Lijing Yuan, Muhammad Zeeshan, Chuntian Yang, Wen Gao, Guoqiang Zhang, Chunjuan Wang

Subjects: “…Fermentation condition optimization…”
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