Intelligent Control System of Unmanned Vehicle Based on CAN Controller by Jinhua Wu, Yunfei Jiang, Fang Deng

“…Finally, the driverless CAN bus communication platform was established, the driverless monitoring interface was developed, and the software program was written; experiments on the steering control, speed control, voltage, current, speed, and angular speed acquisition, respectively, were performed. The experimental results show that the average semantic segmentation accuracy of the obstacles in concentrated vehicles, pedestrians, and bicycles reached 84.6%, and the detection and segmentation accuracy of the models was good. …”
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Beyond Conventional Drones: A Review of Unconventional Rotary-Wing UAV Design by Mengtang Li

“…Through innovative rotor arrangements, refined airframe structures, and novel flight mechanisms, these advanced designs aim to significantly enhance performance, versatility, and functionality. Rotary-wing UAVs that deviate markedly from conventional models in terms of mechanical topology, aerodynamic principles, and movement modalities are rigorously examined. …”
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PICT-Net: A Transformer-Based Network with Prior Information Correction for Hyperspectral Image Unmixing by Yiliang Zeng, Na Meng, Jinlin Zou, Wenbin Liu

“…Transformers have performed favorably in recent hyperspectral unmixing studies in which the self-attention mechanism possesses the ability to retain spectral information and spatial details. …”
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Sarcopenia diagnosis using skeleton-based gait sequence and foot-pressure image datasets by Muhammad Tahir Naseem, Na-Hyun Kim, Haneol Seo, JaeMok Lee, Chul-Min Chung, Sunghoon Shin, Chan-Su Lee

“…Second, we performed experiments on the foot-pressure dataset using the ResNet-18 and spatiotemporal graph convolutional network (ST-GCN) models on the skeleton dataset to classify normal and abnormal gaits due to sarcopenia. …”
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Distributed denial-of-service (DDOS) attack detection using supervised machine learning algorithms by S. Abiramasundari, V. Ramaswamy

“…Support Vector Machine (SVM), Logistic Regression (LR), Random Forest (RF), K-Nearest Neighbours (KNN), Decision Tree (DT) supervised models, and Principle Component Analysis (PCA) feature selection method are used to differentiate between attack and regular traffic. …”
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A novel canopy water indicator for UAV imaging to monitor winter wheat water status by Meiyan Shu, Zhenghang Ge, Yang Li, Jibo Yue, Wei Guo, Yuanyuan Fu, Ping Dong, Hongbo Qiao, Xiaohe Gu

“…Among the four estimation models, the random forest (RF) and Gaussian process regression models exhibited superior performance in estimating various water indicators. …”
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A double broad learning approach based on variational modal decomposition for Lithium-Ion battery prognostics by Xiaojia Wang, Xinyue Guo, Sheng Xu, Xibin Zhao

“…Second, these two modal data of the feature extraction and modal fusion are inputted into the trained DBL model. …”
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MultiSenseNet: Multi-Modal Deep Learning for Machine Failure Risk Prediction by Mostafijur Rahman, Md Sabbir Hossain, Uland Rozario, Satyabrata Roy, M. F. Mridha, Nilanjan Dey

“…Their approach combines advanced techniques, including convolutional neural networks (CNNs) for feature extraction, long short-term memory networks (LSTMs) for temporal patterns, transformer-based attention mechanisms for critical feature identification, and graph neural networks (GNNs) for modeling sensor-machine relationships. …”
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Web application using machine learning to predict cardiovascular disease and hypertension in mine workers by Sohrab Effati, Alireza Kamarzardi-Torghabe, Fatemeh Azizi-Froutaghe, Iman Atighi, Somayeh Ghiasi-Hafez

“…After preprocessing and feature engineering, the Random Forest algorithm was identified as the best-performing model, achieving 99% accuracy for HTN prediction and 97% for CVD, outperforming other algorithms such as Logistic Regression and Support Vector Machines. …”
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Risk analysis of the association between EASIX and all-cause mortality in critical ill patients with atrial fibrillation: a retrospective study from MIMIC-IV database by Yu Xia, Anfeng Liang, Mei Wang, Jianlin Zhang

“…The Boruta algorithm and Least Absolute Shrinkage and Selection Operator (Lasso) Regression were used for feature selection. Multivariable logistic regression and Cox proportional hazard models were employed to assess EASIX as a risk factor, with nonlinear relationships evaluated using restricted cubic spline curves. …”
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Machine-Learning Insights from the Framingham Heart Study: Enhancing Cardiovascular Risk Prediction and Monitoring by Emi Yuda, Itaru Kaneko, Daisuke Hirahara

“…Some machine-learning algorithms were applied to multiple machine-learning models. Among these, XGBoost achieved the highest predictive performance, each with an area under the curve (AUC) value of 0.83. …”
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Medico-Social Approach to the Development of a Methodology for Assessing the “Quality of Life” after Cataract Phacoemulsification. Part 1 by I. G. Ovechkin, N. I. Ovechkin, A. V. Shakula, A. I. Pavlov, D. F. Pokrovsky

“…The fundamental difference between the development of the methodology for assessing the patient’s QoL after performing PE is the use of a “social model” of health, which confirms the leading (46 % of all complaints) place for “functional” manifestations of the patient’s subjective status, based on specific “domains” of the ICF. …”
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A cut-off of 2150 cytokeratin 19 mRNA copy number in sentinel lymph node may be a powerful predictor of non-sentinel lymph node status in breast cancer patients. by Irene Terrenato, Valerio D'Alicandro, Beatrice Casini, Letizia Perracchio, Francesca Rollo, Laura De Salvo, Simona Di Filippo, Franco Di Filippo, Edoardo Pescarmona, Marcello Maugeri-Saccà, Marcella Mottolese, Simonetta Buglioni, Simonetta Buglioni

“…Logistic regression models were performed in order to compare OSNA categorical variables created on the basis of our and traditional cut-off to better identify patients who really need an axillary dissection. 69% and 31% of OSNA positive patients had a negative and positive ALND, respectively. …”
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Experimental Study of Byzantine Chafing Dishes by Georgia Vakasiras

“…Three chafing dishes were crafted by ceramist Alexandra Theodosiou, modelled on chafing dish 6260a and its lid 6260β from Thebes, to understand the assembly stages of the different compartments of this multi-featured form. …”
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Advances in Developments and Trends of UAV Technology in the Context of Precision Agriculture by Mingxia Li, Jiyu Li

“…The results indicate that the integration of multispectral imagery with deep learning models significantly enhances crop identification and parameter inversion accuracy. …”
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Random walk based snapshot clustering for detecting community dynamics in temporal networks by Filip Blašković, Tim O. F. Conrad, Stefan Klus, Nataša Djurdjevac Conrad

“…We further demonstrate the effectiveness and broad applicability of our technique by testing it on various social dynamics models and real-world datasets and comparing its performance to several state-of-the-art algorithms. …”
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YOLO-SAATD: An efficient SAR airport and aircraft target detector by Daobin Ma, Zhanhong Lu, Zixuan Dai, Yangyue Wei, Li Yang, Haimiao Hu, Wenqiao Zhang, Dongping Zhang

“…Fine granularity: A ”ScaleNimble Neck” integrates feature reshaping and scale-aware aggregation to enhance detail detection and feature capture in multi-scale SAR images. 3. …”
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The DEM Registration Method Without Ground Control Points for Landslide Deformation Monitoring by Yunchuan Wang, Jia Li, Ping Duan, Rui Wang, Xinrui Yu

“…Therefore, the expected maximum algorithm is applied to calculate the stable regions that have not changed between multitemporal DEMs and to perform accurate registrations. Finally, the shape variables are calculated by constructing a DEM differential model. …”
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Identification of a PANoptosis-related gene signature reveals therapeutic potential of SFRP2 in pulmonary arterial hypertension by Li Li, Mukamengjiang Juaiti

“…Gene expression was further validated using a rat PAH model and pulmonary artery fibroblasts (PAAFs), while hub gene functions were investigated at the cellular level through Western blot, CCK-8, and flow cytometry assays.ResultsThrough integrated transcriptomic analysis, SFRP2 was identified as a feature gene related to PAH and PANoptosis. …”
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A Multi-Task Spatiotemporal Graph Neural Network for Transient Stability and State Prediction in Power Systems by Shuaibo Wang, Xinyuan Xiang, Jie Zhang, Zhuohang Liang, Shufang Li, Peilin Zhong, Jie Zeng, Chenguang Wang

“…To address these challenges, this paper presents a multi-task learning framework based on spatiotemporal graph convolutional networks that efficiently performs both tasks. The proposed framework employs a spatiotemporal graph convolutional encoder to capture system topology features and integrates a self-attention U-shaped residual decoder to enhance prediction accuracy. …”
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