Results 181 to 190 of about 2,592 (257)

Design and evaluation of an intent-based web of things query framework for smart device discovery. [PDF]

Sci Rep
Tahir S, Saher N, Faheem MR, Asghar MN, Iqbal A, Arif S.   +5 more
europepmc   +1 more source

Performance–Complexity Trade‐Offs in Battery Lifetime Prediction with Task‐Aware Transformers

Advanced Science, Volume 13, Issue 56, 9 October 2026.
FAST‐BatPro integrates convolutional feature extraction, flash Attention, and sparse attention for efficient battery lifetime prediction. Using limited early‐cycle data across multiple chemistries and operating conditions, it achieves robust accuracy while reducing inference latency, computational cost, and energy consumption.
Jingyuan Zhao, Misheng Cai, Zhenghong Wang, Yan Wang, Yuqi Li, Bo Dong, Hewu Wang, Andrew F. Burke, Simona Onori, Stephen J. Harris   +9 more
wiley   +1 more source

Optimizing IoV cloud trust with adaptive blockchain and reinforcement learning. [PDF]

Sci Rep
S FS, R G.
europepmc   +1 more source

GraphRAG for engineering diagrams: ChatP&ID enables LLM interaction with P&IDs

AIChE Journal, Volume 72, Issue 10, October 2026.
Abstract Piping and Instrumentation Diagrams (P&IDs) are central to process engineering workflows, yet extracting information from them remains a tedious and time‐consuming task. This work introduces ChatP&ID, a framework enabling natural‐language interaction with smart P&IDs through Graph Retrieval‐Augmented Generation (GraphRAG), to our knowledge ...
Achmad Anggawirya Alimin, Artur M. Schweidtmann   +1 more
wiley   +1 more source

GNN-MA: Soft Molecular Alignment with Cross-Graph Attention for Ligand-Based Virtual Screening. [PDF]

Molecules
Liu K, Wei D, Shi R, Zhou Z.
europepmc   +1 more source

Structurally Cascaded Physics‐Informed Graph Neural Networks for Mechanotransduction‐Aware Tumor Microenvironment Modeling

Applied Research, Volume 5, Issue 5, October 2026.
This study introduces a structurally cascaded physics‐informed graph neural network to model tumor microenvironments accurately. By enforcing a directional dependency from mechanical strain to biochemical secretion, the method eliminates unphysical artifacts and significantly improves predictive accuracy for precision healthcare applications.
Xinyuan Chen, Nurashikin Saaludin, Mohd Nizam Husen   +2 more
wiley   +1 more source

Deep Reinforcement Learning-Enabled Computation Offloading: A Novel Framework to Energy Optimization and Security-Aware in Vehicular Edge-Cloud Computing Networks. [PDF]

Sensors (Basel)
Almuseelem W.
europepmc   +1 more source

A Hybrid Physics‐Informed Computational Framework for Adaptive Microrobotic Navigation and Causal Structure Discovery in Simulated Non‐Newtonian Environments

Applied Research, Volume 5, Issue 5, October 2026.
This study presents a hybrid AI framework that enables autonomous magnetic microrobots to navigate complex, non‐Newtonian tumor microenvironments. By integrating physics‐informed recurrent reinforcement learning with active persistent excitation, the system successfully infers hidden fluid rheology for precise targeted navigation and structural causal ...
Xinyuan Chen, Zanariah Abu Bakar, Mohd Nizam Husen   +2 more
wiley   +1 more source

Infrared Imaging for Autonomous Power Inspection: A Review from Detector to System Integration. [PDF]

Sensors (Basel)
Guo Y, Du Y, Mao R, Zhao Y, Guo J.
europepmc   +1 more source

An Improved Secure Blockchain‐Based Remote Patient Monitoring System With Role‐Based Access Control Using IPFS

Concurrency and Computation: Practice and Experience, Volume 38, Issue 19, October 2026.
ABSTRACTThis work presents a privacy‐preserving remote healthcare system that integrates blockchain technology with a root seed‐based pseudonymization mechanism and lightweight cryptographic controls. Addressing the privacy risks of public ledgers and the limited computational resources of medical IoT devices, the proposed system focuses strictly on ...
Hoc Minh Le, Özgür Öksüz
wiley   +1 more source