Results 181 to 190 of about 1,817,676 (247)

READING COMPREHENSION SKILLS WITH SEMANTIC MAPPING AND K.W.L. STRATEGIES

There are so many activities that can be done to make the students understand about the text that the students read. One of the activities is using semantic mapping. Semantic mapping: mind mapping, idea mapping, word webbing, etc.
R. John Pieter Simarmata
core  

FHIR Data Mapping Quality Assessment: A Scoping Review and Expert-Informed Requirements for Future Pre-Mapping Frameworks. [PDF]

Comput Struct Biotechnol J
Seth M, Apelgren F, Bakidou A, Lundgren P, Blomberg H, Sjöqvist BA, Candefjord S.   +6 more
europepmc   +1 more source

Multimodal Learning with Rashomon Analysis for Battery Discharge Capacity Prediction

Advanced Intelligent Discovery, EarlyView.
Multimodal fusion integrates composition, crystal‐structure, and radial‐distribution descriptors to predict battery discharge capacity. Rashomon analysis across near‐optimal models reveals that explanatory variation is structured rather than arbitrary, separating stable mechanistic signals from model‐contingent attributions and providing a more ...
Jue Gong, Lejia Wang, Tianqing Zhu, Keith Butler, Sichao Li   +4 more
wiley   +1 more source

HCSG-SLAM: Lightweight History-Consistent Semantic Fusion for Gaussian SLAM with Noisy Semantic Predictions. [PDF]

Sensors (Basel)
Dai C, Duanmu H, Sun X, Deng D, Han Y.
europepmc   +1 more source

Artificial Intelligence‐Driven Network Pharmacology: A Methodological Paradigm Shift Bridging Traditional Wisdom and Modern Science

Advanced Intelligent Discovery, EarlyView.
Artificial intelligence is redefining network pharmacology (NP). By integrating knowledge graph engineering, geometric deep learning, multiomics anchoring, and generative reasoning, AI‐driven NP (AI‐NP) transforms static target mapping into dynamic, predictive modeling.
Cong Wang, Sile Hu, Rigahai Ji, Riguna A, Siqige Hao, Ma Zhuo, Yi‐Hung Chen, Bisihalatu Hu, Ulana Bai, Xigui Hada   +9 more
wiley   +1 more source

Online Knowledge Integration for 3D Semantic Mapping: A Survey

Semantic mapping is a key component of robots operating in and interacting with objects in structured environments. Traditionally, geometric and knowledge representations within a semantic map have only been loosely integrated.
Niecksch, Lennart, Renz, Marian, Powell, Piper, Günther, Martin, Hertzberg, Joachim, Igelbrink, Felix, Atzmueller, Martin, Lima, Oscar   +7 more
core  

Accelerating the Discovery of Proton Conducting Electrolytes via Machine Learning‐Enabled Literature Mining

Advanced Intelligent Discovery, EarlyView.
An end‐to‐end knowledge discovery framework is established to automate high‐precision property extraction from small, specialized literature corpora. Utilizing a domain‐specific bidirectional encoder representation from a transformer model and data augmentation, the system accurately extracts and structures electrolyte performance data, ultimately ...
Gaheun Shin, Seongho Lee, Seulchan Kim, Ho‐Il Ji, Joonhee Kang   +4 more
wiley   +1 more source

Real-Time Physical-to-Virtual Scene Reconstruction for Dynamic Manufacturing Systems via Semantic-Spatial Mapping. [PDF]

Sensors (Basel)
Tian S, Gu J, Pan L, Qi X, Wang P, Han J.   +5 more
europepmc   +1 more source

From Word2Vec to Transformers: Text‐Derived Composition Embeddings for Filtering Combinatorial Electrocatalysts

Advanced Intelligent Discovery, EarlyView.
With the downstream filter held fixed, text‐derived composition representations produce distinct screening outcomes across 14 electrocatalyst libraries. Embedding model and composition encoding control the trade‐off between candidate reduction and preservation of the best measured current.
Lei Zhang, Markus Stricker
wiley   +1 more source