Mina: A Sensorimotor Robotic Orthosis for Mobility Assistance by Anil K. Raj, Peter D. Neuhaus, Adrien M. Moucheboeuf, Jerryll H. Noorden, David V. Lecoutre

“…The Florida Institute for Human and Machine Cognition (IHMC) has developed the Mina, a prototype sensorimotor robotic orthosis for mobility assistance that provides mobility capability for paraplegic and paraparetic users. …”
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航空弧齿锥齿轮铣削加工残余应力分析 by 王延忠, 吴林峰, 陈燕燕, 唐文, 吕庆军, 戈红霞, 张祖智

“…The reason of producing residual stress in milling processing of spiral bevel gear by investigating lots of existed literatures is analyzed,and part of three-dimensional model of gear blank and milling tool based on real size is established.The motion of the CNC axes is transformed into the relative position adjustment between the gear blank and the milling cutter.By orthogonal design and changing the ways of milling processing parameters,the influence discipline of different processing parameter to the spiral bevel gear’s residual stress is analyzed by the ABAQUS.A new way of improving the quality and increasing the life span of spiral bevel gear by improving the processing parameter is raised, and it will contribute to the machining optimization technology of spiral bevel gear.…”
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A FOUR-POINT EQUIVALENT METHOD OF THE BOLTED JOINTS STIFFNESS by LI YuanSheng, ZHANG GuangPeng, XIE FangFang, WANG LiYu

“…Bolted joints is one of the most widely used fixing joints in machine tool structure,which directly affects the performance of the whole machine tool. …”
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Research of clover-grater-and-scarificator KS-0.2 with oval type deck at seeds scarification by A. I. Burkov, M. V. Simonov, V. Ju. Mokiev

“…Determined the range of values of the studied parameters under which the observed agro technical requirements for the machine were met. …”
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Dynamic Analysis and Scale Optimization of Prefabricated Building Wall Panel Installation by Jiang Mingyang, Zhang Lin, Liu Hongbin, Sima Mingyang, Yu Ningtao

“…Taking a new type of prefabricated building wall panel installation machine as the research object, the mechanism configuration and specific implementation are analyzed, the kinematic and dynamic mathematical models of the boom landing mechanism are established, and the functional relationship between the maximum load of the cylinder and the scale parameters is solved. …”
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Analysis of 3D surface roughness in trochoidal milling of AA 6082 aluminium alloy by Nikolaos A. Fountas, Rafał Kudelski, Nikolaos M. Vaxevanidis

“…By assigning three levels for machining parameters, an L9 Taguchi orthogonal array was adopted to design and conduct the experiments. …”
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An Intelligent System for Medical Oxygen Consumption Management Using Oximetry and Barometry by Abbas Izadi, Hadi Ghasemifard, Mohamad Amin Bakhshali, Nadia Roudsarabi, Omid Sarrafzadeh

“…Materials and Methods: The proposed approach utilizes multiple sensors to measure the purity and pressure of medical oxygen, and this data is collected and processed using machine learning algorithms. The system uses a decision tree model to classify the purity and pressure readings and identify deviations from the specified parameters. …”
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A dynamic model of a bulldozer with a semi-rigid suspension by I. V. Lazuta, E. F. Lazuta

“…The considerable attention in the presented mathematical model is paid to the dependencies between varieties of machine’s structural parameters.…”
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A Compressor - System Digital Twin for Performance Prediction Under a Wide Range of Flow and Operating Conditions by Alberto Serena, Lars E. Bakken

“…A blend of theory, laboratory experiments, operational experience, data analysis and process simulation have been employed for an accurate description of the machine behaviour. Testing benefits from a responsive rig, allowing modification of layout and key parameters. …”
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An FPGA-Based Training System for a 1T1R Memristor Array With 500 nS Conductance Resolution Limit by Liujie Li, Chuantong Cheng, Beiju Huang, Ke Ding, Yuxin Li, Ganggang Guo

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Retrieval of Atmospheric XCH₄ via XGBoost Method Based on TROPOMI Satellite Data by Wenhao Zhang, Yao Li, Bo Li, Tong Li, Zhengyong Wang, Xiufeng Yang, Yongtao Jin, Lili Zhang

“…Traditional XCH₄ retrieval methods are complex, while machine learning can be used to model nonlinear relationships by analyzing large datasets, providing an efficient alternative. …”
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CAFiKS: Communication-Aware Federated IDS With Knowledge Sharing for Secure IoT Connectivity by Ogobuchi Daniel Okey, Demostenes Zegarra Rodriguez, Frederico Gadelha Guimaraes, Joao Henrique Kleinschmidt

“…Federated learning has recently gained significant attention as a method for building machine learning models due to its ability to preserve data privacy while delivering improved performance. …”
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Corrosion rate prediction for long-distance submarine pipelines based on MWIWOA-SVM by Zhengshan LUO, Haipeng LYU, Jihao LUO

“…Consequently, the improved WOA facilitated the optimization of kernel function parameters and penalty factors in the SVM-based model, thereby increasing the rigor of parameter selection. …”
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UAV-Based Automatic Detection of Missing Rice Seedlings Using the PCERT-DETR Model by Jiaxin Gao, Feng Tan, Zhaolong Hou, Xiaohui Li, Ailin Feng, Jiaxin Li, Feiyu Bi

“…Due to the limitations of the sowing machine performance and rice seed germination rates, missing seedlings inevitably occur after rice is sown in large fields. …”
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Research on Obstacle-Avoidance Trajectory Planning for Drill and Anchor Materials Handling by a Mechanical Arm on a Coal Mine Drilling and Anchoring Robot by Siya Sun, Sirui Mao, Xusheng Xue, Chuanwei Wang, Hongwei Ma, Yifeng Guo, Haining Yuan, Hao Su

“…Firstly, the kinematic model of the robotic arm with material was established by improving the D-H parameter method. Then, the working space of the robotic arm with the material was analyzed using the Monte Carlo method. …”
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Research on Shale Oil Well Productivity Prediction Model Based on CNN-BiGRU Algorithm by Yuan Pan, Xuewei Liu, Fuchun Tian, Liyong Yang, Xiaoting Gou, Yunpeng Jia, Quan Wang, Yingxi Zhang

“…This methodology establishes a novel paradigm for machine learning-driven productivity prediction in unconventional reservoir engineering.…”
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Review of online quality control for laser directed energy deposition (LDED) additive manufacturing by Long Ye, Hao Xue, Zhaosheng Li, Yichang Zhou, Guangyu Chen, Fangda Xu, Ruslan Melentiev, Stephen Newman, Nan Yu

“…Depending on the sensing techniques, this paper highlights a hierarchical control strategy for adaptive parameter regulation on intra-layer and inter-layer scales. …”
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Optimization of Sensor Targeting Configuration for Intelligent Tire Force Estimation Based on Global Sensitivity Analysis and RBF Neural Networks by Yu Zhang, Guolin Wang, Haichao Zhou, Jintao Zhang, Xiangliang Li, Xin Wang

“…To address the demand for accurate tire force prediction in active safety control systems under various operating conditions, this paper proposes an intelligent tire force estimation method, integrating sensor-measured dynamic response parameters and machine learning techniques. A 205/55 R16 radial tire was selected as the research object, and a finite element model was established using the parameterized modeling approach with the ABAQUS finite element simulation software. …”
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Hyperspectral Imaging for Non-Destructive Moisture Prediction in Oat Seeds by Peng Zhang, Jiangping Liu

“…To enable efficient and non-destructive prediction of this key quality parameter, this study presents a modeling framework integrating hyperspectral imaging (HSI) technology with a dual-optimization machine learning strategy. …”
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Detailed Time-resolved Spectral and Temporal Investigations of SGR J1550–5418 Bursts Detected with Fermi Gamma-Ray Burst Monitor by Mustafa Demirer, Ersin Göğüş, Yuki Kaneko, Özge Keskin, Sinem Şaşmaz, Shotaro Yamasaki

“…Furthermore, there is a strong positive correlation between the cooler and hotter temperature parameters of the BB+BB model, and both parameters show a Gaussian distribution with peaks ∼4 and 12 keV, respectively. …”
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