A Multi-Agent Optimal Bidding Strategy in Multi-Operator VPPs Based on SGHSA by Shupeng Li, Xianxu Huo, Xiyuan Zhang, Guodong Li, Xiangyu Kong, Siqiong Zhang

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A multivariate model incorporating subharmonic measurements for evaluating vocal roughness by Itsuki Kitayama, Kiyohito Hosokawa, Shinobu Iwaki, Misao Yoshida, Akira Miyauchi, Kenji Aruga, Takanari Kawabe, Toshihiro Kishikawa, Hidenori Tanaka, Takeshi Tsuda, Takashi Sato, Yukinori Takenaka, Makoto Ogawa, Hidenori Inohara

“…Furthermore, we introduce the acoustic roughness index (ARI), a predictive acoustic model that integrates these parameters with existing acoustic parameters. …”
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RL-Based Vibration-Aware Path Planning for Mobile Robots’ Health and Safety by Sathian Pookkuttath, Braulio Felix Gomez, Mohan Rajesh Elara

“…Terrain roughness is classified into four levels using IMU sensor data, achieving average prediction accuracy of 97% with a 1D CNN model. A vibration cost map is created by assigning vibration costs to each predicted class on a 2D occupancy grid, incorporating obstacles, vibration-prone areas, and the robot’s pose for navigation. …”
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Machine learning approach for identifying and forecasting streamflow droughts in data limited basins of South Korea using threshold levels by Young-Ho Seo, Jang Hyun Sung, Byung-Sik Kim, Junehyeong Park

“…We utilized the XGBoost algorithm, integrating comprehensive meteorological data to enhance the accuracy and reliability of the drought predictions. …”
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Modélisation pluie-débit en région tropicale humide : application des réseaux de neurones sur quatre stations hydrométriques du Bandama Blanc (Bada, Marabadiassa, Tortiya et Bou) s... by Yao Blaise Koffi

“…To achieve this goal, two Multilayer Perceptrons trained with the backpropagation algorithm of error have been built. The first model was used only in simulation and the second in simulation and prediction. …”
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Identification of an HLA-A2-restricted epitope peptide derived from hypoxia-inducible protein 2 (HIG2). by Sachiko Yoshimura, Takuya Tsunoda, Ryuji Osawa, Makiko Harada, Tomohisa Watanabe, Tetsuro Hikichi, Masahiro Katsuda, Motoki Miyazawa, Masaji Tani, Makoto Iwahashi, Kazuyoshi Takeda, Toyomasa Katagiri, Yusuke Nakamura, Hiroki Yamaue

“…Among several candidate peptides predicted by the HLA-binding prediction algorithm, HIG2-9-4 peptide (VLNLYLLGV) was able to effectively induce peptide-specific cytotoxic T lymphocytes (CTLs). …”
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An AIoT-Based Automated Farming Irrigation System for Farmers in Limpopo Province by Relebogile Langa, Michael Nthabiseng Moeti, Thabiso Maubane

“…A machine learning precipitation prediction algorithm optimizes water usage. The paper also describes a system with multiple sensors that detect soil parameters, and automatically irrigate land based on soil moisture by switching the motor on/off. …”
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Enhancing Flow Direction in Geothermal Fields Using Sentinel-1 Data for Sustainability Water Management by Utama Widya, Anjasmara Ira Mutiara, Handayani Hepi Hapsari, Indriani Rista Fitri

“…This study develops a flow direction prediction model using Sentinel-1 satellite imagery during rainy and dry seasons through the Random Forest machine learning algorithm. …”
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Identification of DNA N6-methyladenine modifications in the rice genome with a fine-tuned large language model by Yichi Zhang, Hao Chen, Shicheng Xiang, Zhibin Lv

“…These features are then processed by an XGBoost algorithm to generate predictions. To further validate the effectiveness of our fine-tuning strategy, we employ UMAP(Uniform Manifold Approximation and Projection) visualization. …”
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Method for Acquiring Passenger Standing Positions on Subway Platforms Based on Binocular Vision by Jing Zuo, Yanchong Wang, Runqi Wang

“…Validation of the proposed model using this dataset shows that 91.9% of the predicted standing positions of passengers exhibit an error of less than 41.8 centimeters, with an average prediction error of 18.1 centimeters and an average computation time of 860 milliseconds. …”
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Reinforced Cost-Sensitive Graph Network for Detecting Fraud Leaders in Telecom Fraud by Peiwen Gao, Zhihua Li, Dibin Zhou, Liang Zhang

“…Finally, weight coefficients are dynamically optimized using the Deep Deterministic Policy Gradient (DDPG) algorithm, and the prediction results of the three base classifiers are combined to produce the final classification outcomes. …”
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Oscillatory Forward-Looking Sonar Based 3D Reconstruction Method for Autonomous Underwater Vehicle Obstacle Avoidance by Hui Zhi, Zhixin Zhou, Haiteng Wu, Zheng Chen, Shaohua Tian, Yujiong Zhang, Yongwei Ruan

“…Furthermore, the method is integrated with the Ego-Planner path planning algorithm and nonlinear Model Predictive Control (MPC) algorithm, creating a comprehensive underwater 3D perception, planning, and control system. …”
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Treatment of recurrent ureteral stricture after kidney transplantation with nitinol stent by A. V. Shabunin, G. M. Chechenin, P. A. Drozdov, I. V. Nesterenko, S. A. Astapovich, E. A. Lidzhieva

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A Single-Phase Five-Level Switched-Capacitor Boost Inverter With Improving Voltage Gain by Duc-Tri Do, Thuan-Thien Vu, Khai M. Nguyen, Vinh-Thanh Tran

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MULTINOMIAL LOGISTIC REGRESSION MODEL USING MAXIMUM LIKELIHOOD APPROACH AND BAYES METHOD ON INDONESIA'S ECONOMIC GROWTH PRE TO POST COVID-19 PANDEMIC by Arie Purwanto, Muhammad Aziz Suprayogi, Erwan Setiawan, Joao Ferreira Rendes Bean Loly, Gusti Arviana Rahman, Anang Kurnia

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Hierarchical Bayesian Reliability Model for Wind Turbines with Small Fault Sample Sets by Dameng WANG, Zhiyong MA, Yibing LIU, Wei TENG

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Scene-Adaptive Loader Trajectory Planning and Tracking Control by Yingnan Li, Wenwen Dong, Tianhao Zheng, Yakun Wang, Xuefei Li

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Are minimum indoor air quality requirements combined with passive retrofit solutions enough to guarantee thermal comfort in southern Spain High Schools? by Calama-González Carmen María, Escandón Rocío, Suárez Rafael

“…A representative educational building is selected as case study to simulate the performance of the existing high school stock in southern Spain. …”
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Robust Backstepping Control for Cold Rolling Main Drive System with Nonlinear Uncertainties by Xu Yang, Kai-xiang Peng, Chao-nan Tong

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Numerical model of cutting tool blade wear by Panchuk V., Onysko O., Kotwica K., Barz C., Borushchak L.

“…The result of the program application, created based on the algorithm proposed in the article, showed that the predicted accuracy of the obtained profile’s half-angle could be in a range from –0.03° to +0.10°, which is equivalent to 4–13 % of tolerance of this dimension.…”
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