Research on Ship Heave Motion Compensation Control Under Complex Sea State Environment Based on Improved Reinforcement Learning by ZHANG Qin, ZHOU Jingyi, WANG Xingyue, HU Xiong

“…The TD3 algorithm approximates the value function and policy by harnessing deep neural networks, equipping it to tackle complex and nonlinear sea condition challenges. …”
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A Study on the Impact of Industrial Robot Applications on Labor Resource Allocation by Kexu Wu, Zhiwei Tang, Longpeng Zhang

“…However, in the short term, improvements in innovation capacity may temporarily intensify labor mismatch due to structural frictions. Overall, industrial robots not only exert a direct positive impact on the efficiency of urban labor allocation but also indirectly contribute to resource optimization through structural transformation and innovation system development. …”
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Effects of shading on photosynthetic characteristics and shade-tolerance evaluation of three Ranunculaceae plants by HAN Ruiting, ZHAO Dandan, WANG Weiyi, ZHANG Gexiang*

“…The light saturation point(LSP), light compensation point(LCP)and dark respiration rate(Rd)of the three plants decreased gradually.(3)The original fluorescence(Fo)decreased first and then increased, while the maximum fluorescence(Fm), variable fluorescence(Fv), maximum photochemical efficiency of PS Ⅱ(Fv/Fm)and potential activity of PS Ⅱ(Fv/Fo)values increased first and then decreased; the quantum ratio of heat dissipation(φDo)and the energy dissipated per unit reaction center(DIo/RC)decreased first and then increased, while electron transport quantum yield(φEo), light energy absorbed per unit reaction center(ABS/RC), light energy captured per unit reaction center(TRo/RC), energy used to transfer electrons per unit reaction center(ETo/RC), photosynthetic performance index(PIabs)and comprehensive performance index(PItotal)increased first and then decreased.(4)Comprehensive analysis on 20 single indicators by using analysis methods such as principal component analysis and membership function method showed that the shade-tolerance of the three plants ranked as Thalictrum fortunei > Delphinium anthriscifolium var. savatieri > R. japonicus. …”
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A non-dominated sorting based multi-objective neural network algorithm of ethylene glycol hydrogenation reactor in energy reduction by Fakhrony Sholahudin Rohman, Sharifah Rafidah Wan Alwi, Dinie Muhammad, Muhamad Nazri Murat, Ashraf Azmi

“…Artificial intelligence (AI) can be applied to various ethylene glycol (EG) production aspects to improve efficiency, quality, and overall process optimization. …”
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Transfer Robustness Optimization for Urban Rail Transit Timetables by Liqiao Ning, Peng Zhao, Wenkai Xu, Ke Qiao

“…Next, to improve the computational efficiency, we propose an approximate linearization approach for the EETC function and introduce two types of binary variables and auxiliary substitution variables to convert the nonlinear model to a mixed-integer linear model. …”
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An inclusive solution based on grey water footprint for performance evaluation of industrial wastewater treatment systems by Keivan Arastou, Ali Dehnavi, Shervin Jamshidi

“…These advantages are critical for assessing an industrial WWTP treating complex wastewater, with hazardous pollutants and variable inflow. Moreover, we introduced four innovative criteria based on GWF and improved it as a multi-functional index. …”
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Assessment of soil classification based on cone penetration test data for Kaifeng area using optimized support vector machine by Hanliang Bian, Zhongxun Sun, Jiahan Bian, Zhaowei Qu, Jianwei Zhang, Xiangchun Xu

“…In this study, Support Vector Machine (SVM) models were trained for soil classification using 649 Cone Penetration Test (CPT) datasets, specifically utilizing cone tip resistance ( $$q_c$$ ) and sleeve friction ( $$f_s$$ ) as input variables. Pearson correlation and sensitivity analysis confirmed that these variables are highly correlated with the classification results. …”
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Revolutionizing proton exchange membrane fuel cell modeling through hybrid aquila optimizer and arithmetic algorithm optimization by Manish Kumar Singla, S. A. Muhammed Ali, Ramesh Kumar, Pradeep Jangir, Mohammad Khishe, G. Gulothungan, Haitham A. Mahmoud

“…These parameters function as decision variables, and the objective function aimed for minimization is the sum square error (SSE) between the predicted and actual measured cell voltages. …”
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Prediction of Expected Fouling Time During Transmembrane Transition in Reverse Osmosis Systems by Jozsef Lakner, Gabor Lakner

“…However, due to the porous structure of membranes, they are prone to fouling, which reduces their efficiency and can eventually render the membranes incapable of functioning. …”
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Autonomous obstacle avoidance of underground coal mine transport robots based on intrinsic motivation reinforcement learning algorithm by ZHAO Kebao, LI Lingfeng, CHEN Zhuo, HAN Jun, YIN Rui

“…Existing robot obstacle avoidance methods mostly rely on preset rules or external reward signals, making it difficult to adapt to the complex and variable underground environment in coal mines. To achieve autonomous and efficient obstacle avoidance for underground coal mine transport robots, an autonomous obstacle avoidance method for underground coal mine transport robot based on Intrinsic Motivation Reinforcement Learning (IM-RL) algorithm was proposed. …”
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Locomotive Syndrome Digital Therapeutics Provided via a Smartphone App: Protocol for a Single-Group Trial by Tatsuru Sonobe, Yoshihiro Matsumoto

“…We evaluated the participants’ objective motor function using the timed up and go (TUG) test, and we compare the results using a 3-way ANOVA with the TUG test at the 3 evaluation time points as the dependent variable. …”
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Model Transportasi Jalur Laut untuk Distribusi Semen Curah by Jenny Andres Yunirman

“…The objective function of this model is the minimization of transport costs to meet demand in each of the packing plant. …”
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Thermal performance analysis of a heat exchanger with a novel turbulator insert by using machine learning method by Jiangbo Wang, Chenzhe Li, Liangcai Zeng, Ting Fu, Kai Liu

“…To evaluate the performance of the predictions, various metrics are employed, including the Regression Coefficient (R2), Mean Squared Error, Mean Absolute Error, and Root Mean Squared Error, for each output variable. Furthermore, the MLP model emerges as a highly efficient tool for estimating the Nu/Nu0, f/f0, and TEF of the targeted heat exchanger, where the R2 value of Nu/Nu0 is 0.9821, f/f0 is 0.9967, and TEF is 0.9370.…”
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Mitigating Load Imbalance and Enhancing Distribution Transformer Performance via Fuzzy Inference System by Althoff Hibban, Azriyenni Azhari Zakri, Dirman Hanafi, Boy Ihsan, Umair Ali

“…To address this issue, this study proposes a fuzzy logic-based approach using a Mamdani-type Fuzzy Inference System (FIS). The input variables, current magnitudes in phases R, S, and T, are represented by trapezoidal membership functions classified into several categories. …”
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A Study of Some Properties of Fuzzy Laplace Transform with Their Applications in Solving the Second-Order Fuzzy Linear Partial Differential Equations by Elhassan Eljaoui, Said Melliani

“…Then, some properties dealing with the partial derivatives of fuzzy Laplace transform for a fuzzy function of two real variables have been proved. Afterwards, an algorithm of fuzzy Laplace transform for solving second-order fuzzy partial differential equations has been proposed. …”
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Does charcoal act as a protective agent in fish nutrition to increase growth and physiological performance? A meta-analysis by Aliati Iswantari, Vitas Atmadi Prakoso, Nunak Nafiqoh, Rendy Ginanjar, Henti Hendalastuti Rachmat, Agung Irawan, Kurniawan Kurniawan, Mochammad Zamroni, Fathur Rochman, Danung Nur Adli, Mohammad Miftakhus Sholikin, Arif Wibowo, Anuraga Jayanegara

“…Charcoal notably reduced aspartate aminotransferase and increased immunoglobulin levels, suggesting benefits for liver function and immunity. Meta-regression revealed dose-dependent improvements with wood charcoal, whereas responses to bamboo and activated charcoal were variable. …”
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OpenConMap: A Matlab toolbox for mapping the interior of the unit circle to the exterior of simple closed curves by Kai He, Kai Wang

“…Featuring a user-friendly GUI program, the toolbox efficiently computes conformal mapping functions, streamlining the solving process.…”
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Enhanced Stability and Control of Solar Powered EV Charging Stations Using Disturbance Observer-Based Adaptive Sliding Mode Control for DC Voltage Stabilization by Surabhi Bagherwal, Subhasish Mahapatra

“…To address the chattering issue, a barrier function based SMC (BFSMC) approach is proposed. The distinctive aspects of this BFSM control approach is its capability to stabilize the designed sliding variable to a predefined neighbourhood around the origin within a limited duration, eliminating the need for prior understanding of the maximum limit of the lumped disturbance. …”
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An evolutionary-based optimization algorithm for truss sizing design by Pham Hoang Anh

“…Here, the constraints and objective function are treated separately so that both function and constraint evaluations can be saved. …”
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Numerical examination of the chemically reactive MHD flow of hybrid nanofluids over a two-dimensional stretching surface with the Cattaneo–Christov model and slip conditions by Algehyne Ebrahem A., Alamrani Fahad Maqbul, Seada M. M., Saeed Anwar, Bognár Gabriella

“…As main outcomes of the work, it is revealed that the increasing magnetic parameter enhances the skin friction of hybrid nanofluids; however, a reverse influence is noticed in the velocity curve. …”
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