Transfer Learning‐Assisted Porous Polymer Humidity Sensor for Powered Air‐Purifying Mask by Yue Wang, Xinkai Qi, Lu Chen, Yongchao Cheng, Zhefu Mu, Xiuquan Gu, Shiyin Li, Yunfeng Song, Xinjian He, Sheng Huang

“…By integrating this sensor with a powered air‐purifying system and employing a transfer learning algorithm, the system predicts respiratory signals and adjusts the air supply in real‐time. …”
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Towards a shape-performance integrated digital twin for lumbar spine analysis [version 2; peer review: 2 approved, 1 not approved] by Wei Sun, Xueguan Song, Xiwang He, Xiaonan Lai, Yiming Qiu, Liming Shu, Zhonghai Li

“…Methods A finite element model (FEM) of the lumbar spine was firstly developed using computed tomography (CT) and constrained by the body movement which calculated by the inverse kinematics algorithm. The Gaussian process regression was utilized to train the predicted results and create the digital twin of the lumbar spine in real-time. …”
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Identifying the Dimensions of Degraded Impact Structures Using Digital Elevation Models: A Proof of Concept for Silicate Planets by Connor J. Anderson, James B. Garvin, Devin R. McClain, Scott S. Sinno, Katherine A. Melocik, Compton J. Tucker

“…Application of these methods to additional impact structures is required to quantify prediction uncertainty before applying this methodology to more recent impact structures with questionable diameters.…”
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A Model for Fat Content Detection in Walnuts Based on Near-Infrared Spectroscopy by Langqin Luo, Honghua Zhang, Yu Wang, Jianliang Zhang, Rui Zhang, Shan Gao, Yuanyong Dian, Zijin Bai, Chunhui Feng, Ze Zhang

“…After first optimizing the initial spectrum data using five preprocessing methods, we established separate prediction models for walnut kernel fat content based on either a back propagation neural network or a support vector regression (SVR) algorithm. …”
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PRE-PROCESSING DATA ON MULTICLASS CLASSIFICATION OF ANEMIA AND IRON DEFICIENCY WITH THE XGBOOST METHOD by Fathu Nurrahman, Hari Wijayanto, Aji Hamim Wigena, Nunung Nurjanah

“…Then pre-processing data will be carried out using MissForest imputation, Boruta featuring selection, and SMOTE to help improve the performance of the classification model in predicting a particular class. After the data pre-processing process is carried out, classification modeling will be carried out using the XGBoost algorithm. …”
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Maturity Classification and Quality Determination of Cherry Using VNIR Hyperspectral Images and Comprehensive Chemometrics by Yuzhen Wei, Siyi Yao, Feiyue Wu, Qiangguo Yu

“…After the chemometrics related to hyperspectral imaging had been examined, the least square-support vector regression models based on the feature bands, which were selected by the shuffled frog leaping algorithm, showed the best performance, and the determination coefficients of prediction (R2P) for cherry sugar content and acidity reached 0.976 and 0.906, respectively. …”
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Clinical Utility of HeartLogic, a Multiparametric Telemonitoring System, in Heart Failure by Juan Carlos López-Azor, Noelia de la Torre, María Dolores García-Cosío Carmena, Pedro Caravaca Pérez, Catalina Munera, Irene Marco Clement, Rocío Cózar León, Jesús Álvarez-García, Marta Pachón, Fernando Arribas Ynsaurriaga, Rafael Salguero Bodes, Juan Francisco Delgado Jiménez, Javier de Juan Bagudá

“…Telemonitoring through multiple variables measured on cardiac devices has the potential to improve the follow-up of patients with heart failure. The HeartLogic algorithm (Boston Scientific), implemented in some implantable cardiac defibrillators and cardiac resynchronisation therapy, allows monitoring of the nocturnal heart rate, respiratory movements, thoracic impedance, physical activity and the intensity of heart tones, with the aim of predicting major clinical events. …”
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Research on Fusion of Locomotive Safety Monitoring and Detection Data and Its Application by GONG Li, QIAO Bin, ZHAO Chao, YAO Kai

“…To solve the problems of long cycle, high cost and low efficiency of traditional maintenance methods, a method of equipment quality diagnosis, evaluation and prediction based on decision tree algorithm is put forward to build an intelligent maintenance system. …”
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Nanosatellite Autonomous Navigation via Extreme Learning Machine Using Magnetometer Measurements by Gilberto Goracci, Fabio Curti, Mark Anthony de Guzman

“…This work presents an algorithm to perform autonomous navigation in spacecraft using onboard magnetometer data during GPS outages. …”
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An Analytical Solution for the Hydraulics of Looped Pipe Networks by Mohammad Mehdi Riyahi, Amin E. Bakhshipour, Carlo Giudicianni, Ulrich Dittmer, Ali Haghighi, Enrico Creaco

“…Finally, a Z-test hypothesis test is applied to assess the efficacy of the modified shortest-path algorithm. The results show that this algorithm attains an average accuracy of 90% in predicting exact flow directions, with a confidence level of 99%.…”
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The role of hypoxia-senescence co-related molecular subtypes and prognostic characteristics in hepatocellular carcinoma by Fuqing Chen, Yifan Cai, Xiangmei Chen, Changzhou Chen, Qinliang Fang, Jianming Liu, Yibin Zhang, Jianyin Zhou

“…SVM algorithm was used to classify HCC patients based on HSCRGs. …”
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Application of Big Data Technology in the EMU Fault Early Warning by WU Zhenyi

“…It uses a method of combining equipment fault mechanism and artificial intelligence algorithm to construct a fault early warning and prediction model of key components of EMU, which reflects the working status of a component with its key physical properties and identify potential faults in advance. …”
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Research on terminal switch interval based on DTL by Yufei CUI, Jinwu WEI, Siyu PAN, Rongfang ZHANG, Xiao WANG, Zixiang JIA

“…The switching frequency of users was predicted by decision tree algorithm based on the consumption information of user history and the replacement information of mobile terminals, which provided data support for the accurate marketing of mobile terminals and the stock management of users.…”
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A Fuzzy Simulation Model for Military Vehicle Mobility Assessment by Aby K. George, Harpreet Singh, Macam S. Dattathreya, Thomas J. Meitzler

“…The interest is greater in predicting the mobility for military vehicles. In this paper, authors review various definitions of mobility. …”
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Dispatching strategy of shared bicycles for morning peak tidal travel based on spatial distribution by Xiangyu Lei, Jiaqi Yang

“…The study identifies the spatial distribution characteristics of the tidal phenomenon by analyzing the riding order and electronic fence data and combining them with the KD-Tree algorithm; subsequently, a demand prediction model based on the XGBoost algorithm and a hierarchical scheduling model based on the greedy algorithm are constructed to dynamically optimize the spatial distribution of the bicycle resources with the demand fluctuation as the guide. …”
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Computational-experimental approach to drug-target interaction mapping: A case study on kinase inhibitors. by Anna Cichonska, Balaguru Ravikumar, Elina Parri, Sanna Timonen, Tapio Pahikkala, Antti Airola, Krister Wennerberg, Juho Rousu, Tero Aittokallio

“…Here, we therefore introduce and carefully test a systematic computational-experimental framework for the prediction and pre-clinical verification of drug-target interactions using a well-established kernel-based regression algorithm as the prediction model. …”
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A Recommendation System Based on Regression Model of Three-Tier Network Architecture by Wang Bailing, Huang Junheng, Zhu Dongjie, Hou Xilu

“…The result indicates that our algorithm performs superiorly compared to traditional collaborative filtering algorithm.…”
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基于序列二次规划理论传动系统中的非对称式盘式制动器制动尖叫研究 by 鲍莉, 王俊峰, 刘振刚

“…In order to study the brake squeal of transmission disc brake,the asymmetric disk brake cooling channel concept is introduced,by SQP optimization algorithm the relevant constraints is established,the asymmetric cooling channel geometry data obtained by the optimization theory is intraduced into the brake squeal prediction model,the relevant characteristics variation rule is analyzed and the relevant model is established to verify the results. …”
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Learning Quantum Processes with Quantum Statistical Queries by Chirag Wadhwa, Mina Doosti

“…For the former, we present an efficient average-case algorithm along with a nearly matching lower bound with respect to the number of observables to be predicted. …”
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BLSTM based night-time wildfire detection from video. by Ahmet K Agirman, Kasim Tasdemir

“…To this end, a BLSTM based night-time wildfire event detection from a video algorithm is proposed. It is shown in the experiments that the proposed algorithm attains 95.15% of accuracy when tested against a wide variety of actual recordings of night-time wildfire incidents and 23.7 ms per frame detection time. …”
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