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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A Diagnostic Framework for Decoupling Multi-Source Vibrations in Complex Machinery: An Improved OTPA Application on a Combine Harvester Chassis by Haiyang Wang, Zhong Tang, Liyun Lao, Honglei Zhang, Jiabao Gu, Qi He

“…We employed a multi-condition vibration test with sequential source activation and an improved Operational Transfer Path Analysis (OTPA) method. …”
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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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Response surface-based media optimization for astaxanthin production in Corynebacterium glutamicum by Florian Meyer, Ina Schmitt, Volker F. Wendisch, Nadja A. Henke

“…Corynebacterium glutamicum, an attractive host used in large-scale processes, e.g., industrial amino acid production, has been engineered for astaxanthin production.MethodsHere, a design of experiment (DoE) approach was applied to optimize the standard minimal medium for astaxanthin production. …”
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Emotion Perception and Service Optimization in ChatGPT-Driven Smart Libraries by ZHANG Mingjie, ZHAO Ruixue

“…This approach not only helps smart libraries handle the challenges of digital transformation but also offers a fresh way to meet users' emotional needs. [Method/Process] This study reviews relevant literature from both domestic and international sources, systematically analyzing the mainstream research methods and technological trends in the field of smart libraries. …”
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A A Comprehensive Review of Energy Optimization Techniques in the Internet of Things by Bassey Isong, Kedibone Moeti

“…Others include intelligent optimization methods(e.g. machine, quantum-inspired heuristics), and blockchain-enhanced security. …”
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Comparative analysis of methods for predicting train-induced vibrations by Wei-Lun Hsu, Wei-Bin Chen, Meng-Ting Hsieh

“…The study compared measured and predicted vibration levels to assess the accuracy of the FTA’s detailed and general prediction methods. Results indicate that detailed assessments tend to overestimate vibration levels, while an optimized general vibration assessment curve offers a more precise estimate. …”
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Distribution of trace and toxic element monitoring in soil samples from the lesser Himalayan region of India, pollution indices and source identification by Mahesh Tiwari, Tejas Rathod, Sanjay Kumar Sahu, Rahul Bhangare, Ajmal Yousuf, Vandana Pulhani

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Evidence of Mycobacterium bovis DNA in shared water sources at livestock–wildlife–human interfaces in KwaZulu-Natal, South Africa by Megan C. Matthews, Deborah M. Cooke, Tanya J. Kerr, Andre G. Loxton, Robin M. Warren, Giovanni Ghielmetti, Giovanni Ghielmetti, Elizabeth M. Streicher, Carmel S. Witte, Michele A. Miller, Wynand J. Goosen, Wynand J. Goosen

“…Further investigation into indirect transmission of M. bovis, employing a One Health approach, is necessary to evaluate its epidemiological significance. However, current methods are not optimized for identifying M. bovis in complex environmental samples. …”
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Dropout Kolmogorov–Arnold Networks: A Novel Data-Driven Impedance Modeling Approach for Voltage-Source Converters by Moetasem Ali, Yasser Abdel-Rady I. Mohamed

“…The extensive integration of voltage-source converters (VSCs) as interfaces for renewable energy sources in power systems increases stability concerns and demands accurate VSC impedance models to characterize grid-converter interactions at various operating points. …”
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Studies on Optimization of Growth Parameters for L-Asparaginase Production by Streptomyces ginsengisoli by Neelima Deshpande, Prachi Choubey, Manasi Agashe

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COMBINATION OF KNN AND PARTICLE SWARM OPTIMIZATION (PSO) ON AIR QUALITY PREDICTION by Sugandi Yahdin, Anita Desiani, Shania Putri Andhini, Dian Cahyawati, Rifkie Primartha, Muhammad Arhami, Ditia Fitri Arinda

“…Another problem with KNN is difficult to determine the optimal value of the K parameter in KNN. The Particle Swarm Optimization (PSO) method can be used for problems on KNN. …”
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Optimizing Budget Accuracy in the Mining Industry Through Zero-Based Budgeting by Firmansyah Firmansyah, Ahmad Juanda, Driana Leniwati

“…The main objective of this study is to explore how ZBB can help companies plan and manage budgets more effectively, as well as identify potential cost savings that can be achieved through an in-depth analysis of each budget item. The method used in this study is literature analysis, which includes a review of various academic sources and best practices in the application of ZBB in the mining industry. …”
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Conveyor X-Ray Tomosynthesis Imaging With Optimized Structured Sequential Illumination by Xu Ma, Dong Wang, Angela Cuadros, Tianyi Mao, Qile Zhao, Gonzalo R. Arce, Tingfa Xu

“…This paper proposes a conveyor X-ray tomosynthesis imaging method with optimized structured sequential illumination. …”
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Review of carbon emission accounting methods in coal enterprises by Yurong ZHENG, Wenbin SUN, Shouhang DU, Linye ZHU, Yuqi HUANG

“…It is more conducive to understanding the carbon emission characteristics of different carbon sources of coal enterprises by selecting representative mining and open-pit coal mines respectively to improve and optimize the carbon emission accounting model and using them as the blueprint for coal enterprise carbon emission accounting. …”
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Inversion of Leaf Chlorophyll Content in Different Growth Periods of Maize Based on Multi-Source Data from “Sky–Space–Ground” by Wu Nile, Su Rina, Na Mula, Cha Ersi, Yulong Bao, Jiquan Zhang, Zhijun Tong, Xingpeng Liu, Chunli Zhao

“…This study proposes an improved method based on multi-source data, combining the Sentinel-2A spectral response function (SRF) and computer algorithms, to overcome the limitations of traditional methods. …”
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Optimal Operation of Energy Hub Systems under Resiliency Response Options by Ali Khodadadi, Taher Abedinzadeh, Hasan Alipour, Jaber Pouladi

“…The max-min fuzzy method is also used to select the optimal solution among the Pareto solutions. …”
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Optimal energy management of microgrid based on multi-parameter dynamic programming by Xuejie Wang, Yanchao Ji, Jianze Wang, Yuanjun Wang, Lei Qi

“…The model of energy management is considered as a multi-objectives and multi-parametric optimization problem. The multi-parameter dynamic programming is used to optimize the energy management of microgrid. …”
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Reinforcement learning for process Mining: Business process optimization with avoiding bottlenecks by Ghada Soliman, Kareem Mostafa, Omar Younis

“…In our study, we have implemented Process Mining Environment in OpenAI gym format aimed at enhancing the development of reinforcement learning algorithms for process optimization tasks. The capabilities of these approaches of reinforcement learning using the Q-learning and Deep Q-network (DQN) techniques to identify the optimal path. …”
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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

“…However, interactions between the input factors had a marginal effect on the outcomes. Optimal performance was achieved with 1.6 wt% WSD and a firing temperature of 1200 °C, demonstrating that the developed fired bricks are suitable for insulation in building construction under these optimal conditions.…”
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