Suggested Topics within your search.
Suggested Topics within your search.
-
861
-
862
-
863
A Clinical Tuning Framework for Continuous Kinematic and Impedance Control of a Powered Knee-Ankle Prosthesis
Published 2025-01-01“…To take advantage of this method, we developed a CTI that translates common clinical tuning parameters into model adjustments for the walking and sit-stand controllers. We then conducted a case study where a prosthetist iteratively tuned the powered prosthesis to an above-knee amputee participant in a simulated clinical session involving sit-stand transitions and level walking, from which incline/decline walking features were automatically calibrated. …”
Get full text
Article -
864
State Diagnosis of Elevator Control Transformer over Vibration Signal Based on MEA-BP Neural Network
Published 2021-01-01“…Vibration analysis is considered as an effective and reliable nondestructive technique for monitoring the operation conditions of elevator control transformer. In the paper, a novel model using the Empirical Mode Decomposition (EMD), the empirical wavelet packet transform, the mind evolutionary algorithm (MEA), and the backpropagation (BP) neural network is proposed for elevator control transformer fault diagnosis. …”
Get full text
Article -
865
Liposome-Based Encapsulation of Extract from Wild Thyme (<i>Thymus serpyllum</i> L.) Tea Processing Residues for Delivery of Polyphenols
Published 2025-07-01“…This study developed phospholipid-based liposomes loaded with extract from wild thyme (<i>Thymus serpyllum</i> L.) tea processing residues to enhance polyphenol stability and delivery. …”
Get full text
Article -
866
Design of Computer Numerical Control System for Fiber Placement Machine Based on Siemens 840D sl
Published 2025-04-01“…This investigation is based on the structural features and process specifications of the equipment. …”
Get full text
Article -
867
Automation of autonomous mobile robot docking based on the counter growth rapidly exploring random tree method
Published 2024-02-01“…The study analyzed the features of automatic docking as one of the tasks of group control of autonomous robots. …”
Get full text
Article -
868
Optimal control for quadrotors UAV based on deep neural network approximations of stable manifold of HJB equation
Published 2025-04-01“…This paper proposes a deep learning algorithm for solving the infinite-horizon optimal feedback control problem of a quadrotor unmanned aerial vehicle (UAV). …”
Get full text
Article -
869
Real-time monitoring and optimization of machine learning intelligent control system in power data modeling technology
Published 2024-12-01“…It used methods such as box plots and Kalman filters to preprocess power data and used Fourier transform and long short-term memory (LSTM) network to extract data features. Based on long-term and short-term memory networks, this paper constructed a deep neural network model to process data. …”
Get full text
Article -
870
Learning the factors controlling mineral dissolution in three-dimensional fracture networks: applications in geologic carbon sequestration
Published 2025-01-01“…We characterize the features controlling these processes by developing a machine learning framework to extract their relevant impact. …”
Get full text
Article -
871
Pathogenesis of progressive scarring trachoma in Ethiopia and Tanzania and its implications for disease control: two cohort studies.
Published 2015-05-01“…Host determinants of scarring progression appear more complex and subtle than the features of inflammation. Overall this indicates a potential role for anti-inflammatory interventions to interrupt progression and the need for trichiasis disease surveillance and surgery long after chlamydial infection has been controlled at community level.…”
Get full text
Article -
872
Low-Latency Edge-Enabled Digital Twin System for Multi-Robot Collision Avoidance and Remote Control
Published 2025-07-01“…Traditional approaches, which rely on centralized cloud processing or direct sensor-to-controller communication, are inherently limited by excessive network latency, bandwidth bottlenecks, and a lack of predictive decision-making, thus constraining their effectiveness in real-time multi-agent systems. …”
Get full text
Article -
873
-
874
Serum phospholipids during aging: A comprehensive systematic review of cross-sectional and case-control studies
Published 2025-05-01“…The PRISMA guidelines were adhered to throughout all stages of the review process. Cross-sectional and case-control studies that investigated the relationship between aging and phosphatidylcholine (PC), lysophosphatidylcholine (LPC), sphingomyelins (SM), ceramides, phosphatidylethanolamines (PE), and phosphatidylinositol (PI) were included. …”
Get full text
Article -
875
Research on downhole drilling target detection based on improved Yolov8n
Published 2025-07-01“…It plays a vital role in strengthening the disaster prevention and control capabilities of coal mines in China. To monitor the drilling process in real time and enhance the efficiency of target detection at underground coal mine drill sites, an improved algorithm based on Yolov8n has been proposed, which offers advantages compared with the traditional detection methods. …”
Get full text
Article -
876
Multi-task neural network for solving the problem of recognizing the type of QAM and PSK modulation under parametric a priori uncertainty
Published 2023-08-01“…Automatic modulation recognition of unknown signals is an important task for various fields oftechnology such as radio control, radio monitoring, and identification of interference and sources of radio emission. …”
Get full text
Article -
877
Preliminary study on the connotation of flexibility in dynamically reconfigurable networks
Published 2012-08-01“…From the microscopic and quantitative viewpoints,the connotation of the structural flexibility of reconfigurable networks was explored.More accurately,a key feature,i.e.,the dynamic data channel varying with service demands,of reconfigurable networks was first exhibited and explained.Four dominant implications of the flexibility were then revealed as gradually mapping to demands,keeping global performance good,implicit isolation,and self-driven control.Finally,related quantitative models and methods for both determining the stable deviation of outcomes from demands and computing the volume of resource dynamically reconfigured were investigated by using the exponentially moving average,the n:m voting scheme,Markov decision processes (MDP) and reinforcement learning,respectively.…”
Get full text
Article -
878
pTripleTREP – A vector for tightly controlled expression and purification of virulence factors in Staphylococcus aureus
Published 2025-05-01“…Results To bridge this gap, we present pTripleTREP as a versatile expression vector for S. aureus, which enables the homologous expression and purification of staphylococcal virulence factors. It features a strong SigA-dependent staphylococcal promoter overlapped by three tetracycline responsive elements (TRE), which ensures tight repression under control conditions and high expression levels upon induction of the target gene. …”
Get full text
Article -
879
An optimized anomaly detection framework in industrial control systems through grey wolf optimizer and autoencoder integration
Published 2025-07-01“…Abstract Ensuring reliable Internet connectivity in Industrial Control Systems is critical for real-time monitoring and anomaly detection. …”
Get full text
Article -
880
Serum Endoglin and Endocan Levels in Rosacea and Their Association with Cardiovascular Risk Factors: A Case-Control Study
Published 2025-07-01“…Results: No significant differences in endocan and endoglin levels were observed between the patient and control groups. However, their levels were associated with various clinical features, including symptom and disease severity. …”
Get full text
Article