Results 141 to 150 of about 1,525,407 (380)

Automation of Data Collection for Measuring The Quality of E-Commerce [PDF]

, 2013
The research aims to help managers in information gathering web log visitors based on traffic data, building automation data for determining the needs of e-Commerce extensibility, and design of information systems in the process of database interaction ...
Andi, Gunawan, Aris Sugiharto, S.Si, M.Kom, Drs. Mustafid, M.Eng, Ph.D   +2 more
core  

Diffusion‐Weighted Imaging for the Evaluation of the Sacroiliac Joint in Pediatric Patients

Arthritis Care &Research, Accepted Article.
Background Maturational signal in the sacroiliac joint (SIJ) of skeletally immature youth is often misinterpreted as inflammation. Diagnostic tools that improve specificity are greatly needed. Apparent diffusion coefficient (ADC) values from diffusion‐weighted imaging (DWI), when used with standard imaging, may enhance diagnostic accuracy.
Michael L. Francavilla, Timothy G. Brandon, Dmitry Khrichenko, Rui Xiao, Nancy A. Chauvin, Asef Khwaja, Pamela F. Weiss   +6 more
wiley   +1 more source

Trust in Automation: Designing for Appropriate Reliance

Hum. Factors, 2004
John D. Lee, Katrina A. See
semanticscholar   +1 more source

Optimized Time–Frequency Analysis for Induction Motor Fault Detection Using Hybrid Differential Evolution and Deep Learning Techniques

International Journal of Adaptive Control and Signal Processing, EarlyView.
Workflow of the parameter optimization process for ITSC fault detection, applying Differential Evolution optimization and the Smooth Pseudo Wigner‐Ville Distribution for signal processing. The optimized parameters are then used in the failure identification pipeline, which combines the signal processing with a YOLO‐based architecture for fault severity
Rafael Martini Silva, Avyner Lorran de Oliveira Vitor, Marcelo Favoretto Castoldi, Alessandro Goedtel, Wesley Angelino Souza   +4 more
wiley   +1 more source

Intelligent Robot in Unknown Environments: Walk Path Using Q-Learning and Deep Q-Learning

Automation
Autonomous navigation is essential for mobile robots to efficiently operate in complex environments. This study investigates Q-learning and Deep Q-learning to improve navigation performance.
Mouna El Wafi, My Abdelkader Youssefi, Rachid Dakir, Mohamed Bakir   +3 more
doaj   +1 more source

Using a Supramolecular Approach to Engineer Modular Hydrogel Platforms for Culturing Protoplasts – from General Tissue Engineering to Cellular Agriculture

Advanced Biology, EarlyView.
Using supramolecular monomers, various hydrogel culture systems were formulated to culture protoplasts; including 2D, 2.5D, and 3D hydrogels. Depending on the culture platform, bioactive functionalization led to protoplast enlargement (2D and 2.5D) or plasmolysis (3D). This work shows the potential to modularly engineer synthetic platforms for cellular
Maritza M. Rovers, Erik J. Slootweg, Ferdinand C. O. Los, Patricia Y. W. Dankers   +3 more
wiley   +1 more source

A model for types and levels of human interaction with automation

IEEE Trans. Syst. Man Cybern. Part A, 2000
R. Parasuraman, T. Sheridan, C. Wickens
semanticscholar   +1 more source

Detecting Dengue in Flight: Leveraging Machine Learning to Analyze Mosquito Flight Patterns for Infection Detection

Advanced Biology, EarlyView.
Dengue infection alters mosquito flight behavior, enabling detection using machine learning classifiers. This study analyzes 3D flight trajectories and evaluates multiple models, showing that longer sequence lengths improve classification performance.
Nouman Javed, Adam J. López‐Denman, Prasad N. Paradkar, Asim Bhatti   +3 more
wiley   +1 more source

World Modeling for Autonomous Wheel Loaders

Automation
This paper presents a method for learning world models for wheel loaders performing automatic loading actions on a pile of soil. Data-driven models were learned to output the resulting pile state, loaded mass, time, and work for a single loading cycle ...
Koji Aoshima, Arvid Fälldin, Eddie Wadbro, Martin Servin   +3 more
doaj   +1 more source

Handbook of Automation, Computation, and Control, vol. II [PDF]

, 1961
Eugène M. Grabbe, Simon Ramo, Dean E. Wooldridge, John Ward   +3 more
openalex   +1 more source