Localization of Conveyor Belt Damages Using a Deep Neural Network and a Hybrid Method for 1D Sequential Data Augmentation by Iwona Komorska, Andrzej Puchalski, Damian Bzinkowski

“…The application of the LSTM-AM algorithm allows for real-time monitoring of conveyor operation and facilitates precise localization and estimation of damage size through data synchronization.…”
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Developing an alternative data-driven model to resemble geomorphologic rainfall-runoff models by Pin-Chun Huang, Kwan Tun Lee

“…The proposed artificial intelligence (AI) model, which incorporates a classification algorithm for preprocessing input features prior to training a model based on the recurrent neural network, exhibits outstanding performance in runoff discharge prediction. …”
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A Heterogeneous Image Registration Model for an Apple Orchard by Dongfu Huang, Liqun Liu

“…Then, we used the Sinkhorn AutoDiff algorithm to iteratively optimize and solve the optimal transmission problem, achieving optimal matching between feature points. …”
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Cloud Detection in Remote Sensing Images Based on a Novel Adaptive Feature Aggregation Method by Wanting Zhou, Yan Mo, Qiaofeng Ou, Shaowei Bai

“…The HCAM extracts multi-scale features to enhance global representation while matching channel importance weights to focus on features that are more critical to the detection task. …”
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A Reinforcement Learning-Based Task Mapping Method to Improve the Reliability of Clustered Manycores by Fatemeh Hossein-Khani, Omid Akbari

“…Then, the Q-learning algorithm is used for the two latter steps, to map the arrived task on a core such that the minimum thermal variation is occurred among all the bins. …”
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A Multi-Objective Optimization Method for Carbon–REC Trading in an Integrated Energy System of High-Speed Railways by Wei-Na Zhang, Zhe Xu, Ying-Yi Hong, Fang-Yu Liu, Zhong-Qin Bi

“…The proposed EDMOA algorithm optimizes storage configurations across multiple operational climatic regimes. …”
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Confidence-Aware Ship Classification Using Contour Features in SAR Images by Al Adil Al Hinai, Raffaella Guida

“…Two segmentation methods for the contour extraction were investigated: a classical approach using the watershed algorithm and a U-Net architecture. The features were tested using a support vector machine (SVM) on the OpenSARShip and FUSAR-Ship datasets, demonstrating improved results compared to existing handcrafted features in the literature. …”
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Leveraging Graph Neural Networks for IoT Attack Detection by Mevlüt Uysal, Erdal Özdoğan, Onur Ceran

“…To address this challenge, researchers propose a novel hybrid approach combining Graph Neural Networks and XGBoost algorithm for robust intrusion detection in IoT ecosystems. …”
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An Improved NSGA‐III With Hybrid Crossover Operator for Multi‐Objective Optimization of Complex Combined Cooling, Heating, and Power Systems by Lejie Ma, Dexuan Zou

“…PV/T collectors generate both electricity and heat, reducing natural gas dependence, while ESE balances energy supply and demand for enhanced management. …”
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Cognitive abilities predict naturalistic speech length in older adults by Patrick Neff, Burcu Demiray, Mike Martin, Christina Röcke

“…While having no partner negatively predicted own speech length, we unexpectedly found that higher hearing status was related to lower speech frequency. …”
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LINGUISTIC AND ACOUSTIC RESOURCES OF THE COMPUTER-BASED SYSTEM FOR ANALYSIS AND INTERPRETATION OF SPEECH INTONATION by Yu. A. Zdaranok

“…Presented work describes as well the algorithm of designing of the computer-based system for analysis and interpretation of speech intonation.…”
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Assessment of Hull and Propeller Degradation Due to Biofouling Using Tree-Based Models by Nikos Themelis, George Nikolaidis, Vasilios Zagkas

“…The power prediction models are data-driven based on machine learning algorithms. The process includes feature engineering, filtering, and data smoothing, while an evaluation of regression algorithms of the decision tree family is performed. …”
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MRSNet: Multi-Resolution Scale Feature Fusion-Based Universal Density Counting Network by Yi Zhang, Wei Song, Mingyue Shao, Xiangchun Liu

“…Lower-resolution features are more sensitive to larger objects closer to the camera, while higher-resolution features are more efficient for smaller objects further away. …”
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Optimizing China's carbon quota allocation for peak emissions: A novel AMLC framework tailored to regional dynamics. by Lanlan Lian, Xiaojun Ma, Yimeng Wang, Qingli Dong

“…Employing a PSO-LSSVM model for carbon emission estimation and a hierarchical clustering algorithm, this study categorizes 30 Chinese provinces into six distinct types, facilitating a regionally adaptive allocation strategy. …”
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Optimizing Geospatial Data for ML/CV Applications: A Python-Based Approach to Streamlining Map Processing by Removing Irrelevant Areas by David Kasperek, Michal Podpora

“…This results in obtaining file sizes that are significantly smaller. The presented algorithm also involves asynchronous tile downloading, which, combined with the masking of irrelevant areas, improves not only the efficiency but surprisingly also the accuracy of subsequent ML/CV procedures. …”
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Improved Block Element Method for Simulating Rock Failure by Yan Han, Qingwen Ren, Lei Shen, Yajuan Yin

“…As the innovation of this work, the iterative algorithm is combined with polygonal geometric features so that the area–perimeter fractal dimension can be introduced to optimize random Voronoi grids. …”
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Analysis and Prediction of Thermally Induced Positioning Error in Hydrostatic Lead-Screw Feed Systems by Jun Zha, Xiaofei Peng, Zhiyan Cai, Fei Xue

“…Results indicate that rotational speed has a minimal effect on the temperature rise, while the thermal positioning error escalates with the temperature of these critical points. …”
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A Slack Departure Strategy for Demand Responsive Transit Based on Bounded Rationality by Hongfei Wang, Hongzhi Guan, Huanmei Qin, Wanying Li, Junze Zhu

“…To address the multiobjective problem, a two-phase heuristic algorithm is established to get the Pareto solution for the model. …”
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Multi energy dynamic soaring trajectory optimization method based on reinforcement learning by ZHANG Yunfei, WANG Honglun, ZHANG Menghua, GONG Yinan

“…On the foundation of the trained policies, the method utilizes the twin delayed deep deterministic policy gradient algorithm for policy enhancement. This significantly boosts the real-time inference capabilities while addressing the challenges traditional optimal control algorithms face in dynamic soaring due to varying wind fields. …”
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Adaptive Panoramic Video Multicast Streaming with Limited FoV Feedback by Jie Li, Ling Han, Cong Zhang, Qiyue Li, Weitao Li

“…The former is obtained through saliency detection, while the latter is extracted from some user perspectives randomly, and it contains the FoV information of all users. …”
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