Optimizing Higher Education Performance Through Data Integration Using the Zachman Framework: A Case Study on LAM Infokom Accreditation Criteria by Abdul Jahir, Arif Mu'amar Wahid, Tri Titis Sufranto

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Hybrid Machine Learning in Hydrological Runoff Forecasting: An Exploration of Extreme Gradient-Boosting and Categorical Gradient Boosting Optimization in the Russian River Basin by Reza Seifi Majdar, Ali Rahnamaei, Vahid Babazadeh

“…Data were carefully collected and preprocessed from reliable sources, with 80% used for training and 20% for testing. …”
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Optimizing Machine Learning Models with Data-level Approximate Computing: The Role of Diverse Sampling, Precision Scaling, Quantization and Feature Selection Strategies by Ayad M. Dalloo, Amjad J. Humaidi

“…Although many studies compare machine learning classification techniques, the combined use of optimization strategies remains underexplored. Specifically, the combined utilization of feature selection, sampling, quantization, precision scaling, and relaxation methods for the purpose of optimizing and acquiring training and validation data is underexplored, particularly within the context of medical diagnosis datasets. …”
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Improving frequency stability in grid-forming inverters with adaptive model predictive control and novel COA-jDE optimized reinforcement learning by Muhammad Zubair Yameen, Zhigang Lu, Fayez F. M. El-Sousy, Waqar Younis, Baqar Ali Zardari, Abdul Khalique Junejo

“…Abstract The increasing utilization of renewable energy sources in low-inertia power systems demands advanced control strategies for grid-forming inverters (GFMs). …”
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Exploring optimal protocols for generating and preserving glucose-responsive insulin-secreting progenitor cells derived from human pluripotent stem cells by Patrizia Tornabene, James M. Wells

“…In this study, we performed a side-by-side functional comparison based on three widely used methods to generate insulin expressing cells and identified optimal stages and conditions for cryopreserving and reconstituting stem cell (SC)-derived islets with a robust GSIS. …”
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Short‐term electric power and energy balance optimization scheduling based on low‐carbon bilateral demand response mechanism from multiple perspectives by Juan Li, Yonggang Li, Huazhi Liu

“…This paper proposes a short‐term electric power and energy balance optimization scheduling method with low‐carbon bilateral demand response (LCBDR). …”
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Optimizing genomic DNA extraction from long-term preserved formalin-fixed and paraffin-embedded lung cancer and lymph node tissues by C.S. Faria, C.M. Baldavira, F.R.R. Mangone, M.E.M. Agati, L.D. Kulikowski, M.A. Nagai, E.C.T. do Nascimento, E.S. de Mello, V.L. Capelozzi, L. Antonangelo

“…We recommend scraping tissue from slides as a reliable source of gDNA and suggest fine-tuning proteinase K digestion time and heat exposure based on the input tissue volume.…”
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Biogas production using zirconium and zinc-based nanocatalysts and evaluation using a predictive modeling approach by Abbas A. Abdullahi, Mustapha D. Garba, Tawfik A. Saleh

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A reinforcement learning based real-time energy management method for mobile microgrid considering photovoltaic uncertainty by Huasong Fang, Huayue Zhang, Shuli Wen, Zhong Li, Zhilin Zeng, Miao Zhu, Pengfeng Lin

“…To address this issue, this paper proposes a real-time energy management optimization method based on reinforcement learning, specifically tailored to handle PV uncertainty and dynamic load variations during navigation. …”
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Optimal selection of high-production well targets for fault-controlled fractured-vuggy reservoir in Shunbei oil and gas field, Tarim Basin by Lijun GAO, Haiying LI, Wei GONG, Wei YANG, Hongyan LI

“…This process included methods for optimizing well trajectories, selecting well locations, predicting formation pressures before drilling, and predicting wellbore stability, which improved drilling safety and efficiency. …”
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Research on Missing Data Estimation Method for UPFC Submodules Based on Bayesian Multiple Imputation and Support Vector Machines by Xiaoming Yu, Jun Wang, Ke Zhang, Zhijun Chen, Ming Tong, Sibo Sun, Jiapeng Shen, Li Zhang, Chuyang Wang

“…Future research will explore dynamic weight optimization and extend the framework to multi-source heterogeneous data applications.…”
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Optimizing laying hen diets: effect of partial maize meal replacement with wheat bran or biscuits crumbs and Bacillus amyloliquefaciens CECT 5940 by Albertina Felizardo Manteiga, Abilio Paulo Changule, Dercia Hilario Magaia, Nilza Jorge Manjate, Florentina Domingos Chilala, Leonel António Joaquim, Leonel António Joaquim, Eunice Justino Chivale, Filomena Dos Anjos, Otilia Henrique Tamele Tomo, Manuel Garcia-Herreros, Manuel Garcia-Herreros, Custodio Bila, Custodio Bila, Custodio Bila, Custodio Bila

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Multiple strategies were adopted to optimize the enzymatic characteristics and improve the expression of bovine chymosin BtChy in Kluyveromyces lactis for cheese production by Ying Han, Liu-Qun Zhang, De-Ming Rao, Lei Lei, Jiang-Ke Yang

“…Chymosin (EC3.4.23.4), primarily sourced from calf abomasum, serves as a conventional coagulant in milk curdling during cheese production. …”
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Review of State Estimation Methods for Autonomous Ground Vehicles: Perspectives on Estimation Objects, Vehicle Characteristics, and Key Algorithms by Xiaoyu Wang, Te Chen, Renzhong Wang, Jiankang Lu, Guowei Dou

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Combined methods of mutation breeding and genetice modifications enhanced rhamnolipids production of oil well Indigenous Pseusdomonas aeruginosa by Mingxin Liu, Jin Sun, Xin Song

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A Low-Frequency Oscillation Identification Method for Power System Based on Adaptive Generalized S-Transform with Bat Algorithm by Miao Yu, Jingjing Wei, Shuoshuo Tian, Jianqun Sun, Yixiao Wu, Shouzhi Zhang, Jingxuan Hu

“…The complexity of the interconnected grid and the continuous increase of new energy sources have led to an acute problem with low-frequency oscillation (LFO) in power system. …”
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Applying the Intelligence of Ant and Tabu Search to Solve The 8-puzzle Problem by Ruqaya Sha’ban

“…The research tackled artificial intelligent methods to solve one of the optimization problems by using artificial ant by applying ant colony optimization algorithm and also tabu search algorithm to find the solution of sliding tile 8-puzzel problem. …”
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An Innovative Inversion Method of Potato Canopy Chlorophyll Content Based on the AFFS Algorithm and the CDE-EHO-GBM Model by Xiaofei Yang, Qiao Li, Honghui Li, Hao Zhou, Jinyan Zhang, Xueliang Fu

“…The CDE-EHO method optimizes the GBM model, achieving maximum accuracy, according to the testing results. …”
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The application of laccase-rich extract of spent mushroom substrates for removing lignin from jute fabric waste: a dual management approach by Jovana Vunduk, Saša Đurović, Mirjana Kostić, Marija Dimitrijević, Stevan Blagojević, Danka Radić, Zorica Svirčev

“…SMS was examined as a source of lignin-degrading enzyme laccase to delignify jute and allow it to be processed sustainably. …”
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Optimal Energy Distribution in a Smart Micro-Grid Containing a Combined Electricity with Heat System Based on Fuel Cell and Energy Storage by Yaser Toghani Holari, Mehran Sanjabi, Farhad Zishan, Mehrdad Ahmadi Kamarposhti

“…Abstract- Aim of the study: Today, electrical and thermal loads have become one of integral components of smart micro-grids, along with the combined sources of electricity and heat production. Methods: the optimal distribution of energy in these smart micro-grids is always one of the basic challenges of managers and operators of these micro-grids. …”
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