Landslide Susceptibility Mapping in Darjeeling Himalayas, India by Amit Chawla, Sowmiya Chawla, Srinivas Pasupuleti, A. C. S. Rao, Kripamoy Sarkar, Rajesh Dwivedi

“…Landslide influencing factors in the study area are drainage, lineament, slope, rainfall, earthquake, lithology, land use/land cover, fault, valley, soil, relief, and aspect. These factors were evaluated for the generation of thematic data layers. …”
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AI-driven modeling for predicting compressive strength of recycled aggregate concrete under thermal conditions for sustainable construction by Morteza Ghodratnama, Amir R. Masoodi, Amir H. Gandomi

“…The explicit mathematical equations generated through GEP offer practical applications for engineers involved in thermal design. …”
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UAV Path Planning: A Dual-Population Cooperative Honey Badger Algorithm for Staged Fusion of Multiple Differential Evolutionary Strategies by Xiaojie Tang, Chengfen Jia, Zhengyang He

“…Furthermore, to adapt to the evolving exploration requirements during the optimization process, LRMHBA employs a differential mutation strategy tailored to populations with different fitness values, utilizing elite individuals from the initialization stage to guide the mutation process. …”
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Machine Learning in the Design Decision-Making of Traditional Garden Space Renewal: A Case Study of the Classical Gardens of Jiangnan by Lina Yan, Liang Zheng, Xingkang Jia, Yi Zhang, Yile Chen

“…The generated results can provide multiple scheme comparisons for update decisions, helping managers to efficiently select the optimal solution. (3) Decision-makers can conduct space utilization analyses and evaluations based on the generated results. …”
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Research on recycling value grading and real-time perception of rock debris from TBM tunneling by Weiqi Yue, Weilin Su, Zhanfei Gu, Xiao Qu

“…Leveraging a comprehensive database that encompasses both tunnel rock debris performance indicators and TBM tunneling parameters, perception models are constructed using different machine learning algorithms. After Bayesian hyperparameter optimization, the perception models based on CART, SVM, KNN, and ANN demonstrate accuracies of 67.5%, 80.0%, 82.5%, and 83.8% respectively. …”
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Expected Length of the Shortest Path of the Traveling Salesman Problem in 3D Space by Hongtai Yang, Xiaoqian Lu, Xinan Zhou, Rong Zheng, Yugang Liu, Siyu Tao

“…To fill this gap, this research focuses on developing models to estimate the expected length of the shortest path of 3D-TSP. First, different experimental scenarios are designed by combining different service areas and the number of demand points. …”
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A Study on the Impact of Obstacle Size on Training Models Based on DQN and DDQN by Lu Siyu, Tao Ye, Zeng Junwei, Zuo Qihuan

“…Various parameters such as obstacle size and complexity influence the agent's performance, promoting efficient learning and policy optimization using both DQN and DDQN algorithms under different configurations. …”
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Free field Active Noise Control system development using a 3D Finite Element based approach by Budnik Maximilian, Mees Valentin

“…The presented three-dimensional (3D) Finite Element (FE) based simulation approach enables efficient ANC system design by generating valid data. It further allows for the optimization of control algorithms, evaluation of the attenuation performance, and methodical iteration of the overall concept design. …”
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Effect of flavonol on reduction of acrylamide in Maillard reaction and its correlation with antioxidant capacity by CHENG Jun, REN Yiping, ZHANG Ying, ZHANG Yu

“…Taking Δ TEAC as the antioxidant measurement index, the correlation coefficients between Δ TEAC determined by three different antioxidant evaluation methods (DPPH, ABTS and FRAP) and inhibitory rate of acrylamide were 0.885 3, 0.834 2 and 0.805 3 respectively, indicating a close correlation between the inhibitory effects of flavonols against the generation of acrylamide and the antioxidant capacity in Maillard reaction products.Based on microwave heating and Maillard reaction system, this study not only describes novel experimental system for investigating the inhibitory effect of phytochemicals (e. g. flavonols) against the generation of acrylamide, but also provides substantial evidence of the correlation between the inhibitory rate of acrylamide and antioxidant capacity in Maillard reaction products.…”
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A Recommendation Algorithm Incorporating Adaptive Gating Mechanisms and Knowledge Graph Enhancements by Yi Yu, Teng Lv

“…Then, for the item feature vector, the model dynamically adjusts the weights of Collaborative Filtering (CF) and Knowledge Graph (KG) through the gating mechanism, generating a more expressive item representation. The gating mechanism calculates the gating value through the sigmoid function, allowing user’s behavioral characteristics in different scenarios to more accurately impact item recommendation. …”
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Production and Characterization of Polyhydroxyalkanoates and Native Microorganisms Synthesized from Fatty Waste by Javier Ricardo Gómez Cardozo, Amanda Lucía Mora Martínez, María Yepes Pérez, Guillermo Antonio Correa Londoño

“…Different bacteria-substrate systems were evaluated thrice on a laboratory scale under different conditions of temperature, pH, and substrate concentration, employing 50 mL of broth in 250 mL. …”
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The Effect of Hydraulic Partitioning on Prediction the Rate of Bed Load Transport in Gravel-bed Rivers using Support Vector Machine by Kiyoumars Roushangar, Mohammad Hosseini, Saman Shahnazi

“…Since intelligent methods are applied for various rivers with different flow conditions, it is necessary to evaluate the accuracy of these methods in quantification of bed load under varied hydraulic conditions. …”
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Important Aspects of the Design of Experiments and Data Treatment in the Analytical Quality by Design Framework for Chromatographic Method Development by Bianca F. G. Passerine, Márcia C. Breitkreitz

“…Although there are many studies in the literature that use the DOE, none of them address important aspects of data treatment for optimization and MODR generation and compare different software calculations. …”
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Multiscale analysis of friction behavior at fretting interfaces by Zhinan Zhang, Shuaihang Pan, Nian Yin, Bin Shen, Jie Song

“…Moreover, the fretting process with regard to different interfacial configurations have also not been systematically evaluated. …”
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Markov approach for inventory control with meta-heuristics in intermittent demand environment. by Ferhat Yuna, Burak Erkayman, Mustafa Yılmaz

“…The intermittent demands used were randomly generated in 4 different sizes from small to large. …”
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Automated Search-Based Robustness Testing for Autonomous Vehicle Software by Kevin M. Betts, Mikel D. Petty

“…Two different search-based testing methods, genetic algorithms and surrogate-based optimization, were used to generate test cases for a simulated unmanned aerial vehicle attempting to fly through an entryway. …”
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Preparation, characterization, and adsorption capacity of pyrophosphoric acid sustainable activated carbon from baijiu spent grains for risk factor mitigation by Ziyang Wu, Silei Lv, Peng Xiao, Huan Cheng, Hehe Li, Jinyuan Sun, Xingqian Ye, Baoguo Sun

“…Precise optimization strategies were employed for simulated and authentic Baijiu samples to determine ideal conditions for carbon synthesis suitable for different alcoholic beverages (with fewer flavor compounds and rich in flavor compounds). …”
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Unsupervised Salient Object Detection by Aggregating Multi-Level Cues by Chenxing Xia, Hanling Zhang

“…First, a proposal processing scheme is developed by various object-level saliency cues to generate an initial saliency map. For the sake of more accurate object boundaries, a two-stage optimization mechanism is then proposed upon superpixel-level. …”
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An efficient and resilient energy management strategy for hybrid microgrids inspired by the honey badger's behavior by Ahmed A. Shaier, Mahmoud M. Elymany, Mohamed A. Enany, Nadia A. Elsonbaty, Marwa M. Tharwat, Marwa M. Ahmed

“…This system employs a multi-objective optimization algorithm to dynamically identify the best energy management system (EMS). …”
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2LE-BO-DeepTrade: an integrated deep learning framework for stock price prediction by Zinnet Duygu Akşehir, Erdal Kılıç

“…The optimal model and hyperparameters for each IMF component were determined using Bayesian optimization, significantly improving prediction accuracy. …”
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