Results 131 to 140 of about 14,574,931 (321)

Summative Evaluation Plan - Project StORe

, 2007
To evaluate the demonstrator system and project ‘common model’ in order to make recommendations for future development work. The evaluation will assess the technical structure, functionality, design and quality of the demonstrator system, and the appropriateness of the ‘common model’ approach, using workshops to test the system with representative ...
Procter, Rob, Poschen, Meik, Slack, Roger   +2 more
openaire   +1 more source

Revealing Protein–Protein Interactions Using a Graph Theory‐Augmented Deep Learning Approach

Advanced Intelligent Discovery, EarlyView.
This study presents a fast, cost‐efficient approach for classifying protein–protein interactions by integrating graph‐theory parametrization with deep learning (DL). Multiscale features extracted from graph‐encoded polarized‐light microscopy (PLM) images enable accurate prediction of binding strengths.
Bahar Dadfar, Gözde Kabay, Matthias Franzreb, Kody Whisnant, Nicholas A. Kotov, Joerg Lahann   +5 more
wiley   +1 more source

Design, Control, and Clinical Applications of Magnetic Actuation Systems: Challenges and Opportunities

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This review aims to provide a broad understanding for interdisciplinary researchers in engineering and clinical applications. It addresses the development and control of magnetic actuation systems (MASs) in clinical surgeries and their revolutionary effects in multiple clinical applications.
Yingxin Huo, Lidong Yang, Tiantian Xu, Dong Sun   +3 more
wiley   +1 more source

Predicting Performance of Hall Effect Ion Source Using Machine Learning

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
This study introduces HallNN, a machine learning tool for predicting Hall effect ion source performance using a neural network ensemble trained on data generated from numerical simulations. HallNN provides faster and more accurate predictions than numerical methods and traditional scaling laws, making it valuable for designing and optimizing Hall ...
Jaehong Park, Guentae Doh, Dongho Lee, Youngho Kim, Changmin Shin, Su‐Jin Shin, Young‐Chul Ghim, Sanghoo Park, Wonho Choe   +8 more
wiley   +1 more source

Summative Evaluation [PDF]

, 2004

core  

Virtual reality vs. Manikin based training on emergency life saving basic rescue skills: a summative evaluation. [PDF]

BMC Med Educ
Al Turki S, Skaff D, Mujlli G, Ozdemir B, Maghraby N, Iskandarani L, Diab C, Ashour MN, Almass A, Othman A, Alghosen A, Alsalamah I, Alotaibi M, Alqahtani N, Alguhaimi D, Al-Dawoud AT, Alobaid A.   +16 more
europepmc   +1 more source

Increasing Research Capacity in Underserved Communities: Formative and Summative Evaluation of the Mississippi Community Research Fellows Training Program (Cohort 1). [PDF]

Front Public Health, 2018
Fastring D, Mayfield-Johnson S, Funchess T, Green C, Walker V, Powell G.   +5 more
europepmc   +1 more source

Investigation of Analog Memristor Characteristics for Hardware Synaptic Weight in Multilayer Neural Network

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The systematic design of memristor‐based neural network is provided by analog conductance state parameters to accurately emulate the software‐based high‐resolution weight at discrete device level. The requirement of discrete analog conductance of memristor device is measured as ≈50 states with nonlinearity value of ≈0.142 within the deviation range of ...
Jingon Jang, Yoonseok Song, Sungjun Park
wiley   +1 more source

The Impact of Portal to the Public: Creating an Infrastructure for Engaging Scientists in Informal Science Education Summative Evaluation

, 2017
M. Storksdieck, C. Stylinski, Nicolette Canzoneri   +2 more
semanticscholar   +1 more source

Multitarget Recognition of Flower Images Based on Lightweight Deep Neural Network and Transfer Learning

Advanced Intelligent Systems, EarlyView.
This article proposes a lightweight YOLOv4‐based detection model using MobileNetV3 or CSPDarknet53_tiny, achieving 30+ FPS and higher mAP. It also presents a ShuffleNet‐based classification model with transfer learning and GAN‐augmented images, improving generalization and accuracy.
Qingyang Liu, Yanrong Hu, Hongjiu Liu
wiley   +1 more source