Results 121 to 130 of about 2,151,737 (304)

Decomposition of hypercube graphs into paths and cycles having k edges

AKCE International Journal of Graphs and Combinatorics
For an even graph G and positive integer p, q, and k, the pair (p, q) is an admissible pair if [Formula: see text]. If a graph G admits a decomposition into p copies of [Formula: see text], the path of length k, and q copies of Ck, the cycle of length k,
D. Saranya, S. Jeevadoss, V. Nalini, V. Chitra   +3 more
doaj   +1 more source

Next‐Generation Water Treatment With Molybdenum Disulfide: Dual‐Functionality in Pollutant Adsorption and Photocatalysis

Advanced Materials Technologies, EarlyView.
ABSTRACT Molybdenum disulfide (MoS2) has attracted attention as a promising material due to the growing demand for environmentally friendly, cost‐effective, and efficient water treatment techniques. With its physicochemical characteristics, this stratified bidimensional material allows it to be highly effective in adsorption and catalytic performance ...
Pariksha Bishnoi, Gunjan Chauhan, Phil Hart, Samarjeet Singh Siwal, Vijay Kumar Thakur   +4 more
wiley   +1 more source

Stretchable and Strain‐Tolerant Gold‐Coated Fibrous Biosensor for Superoxide Anion Monitoring

Advanced Materials Technologies, EarlyView.
A breathable, stretchable gold nanomesh–TPU fiber platform is developed via controlled electroless deposition, enabling uniform through‐thickness conductivity while preserving porosity. Functionalized with superoxide dismutase, the system achieves selective, real‐time electrochemical detection of superoxide with high sensitivity, mechanical durability,
Jafar M. Batayneh, Ahyeon Koh
wiley   +1 more source

Grounding Large Language Models for Robot Task Planning Using Closed‐Loop State Feedback

Advanced Robotics Research, EarlyView.
BrainBody‐Large Language Model (LLM) introduces a hierarchical, feedback‐driven planning framework where two LLMs coordinate high‐level reasoning and low‐level control for robotic tasks. By grounding decisions in real‐time state feedback, it reduces hallucinations and improves task reliability.
Vineet Bhat, Ali Umut Kaypak, Prashanth Krishnamurthy, Ramesh Karri, Farshad Khorrami   +4 more
wiley   +1 more source

Tumbling Magnetic Microrobots for Targeted In Vivo Drug Delivery in the GI Tract

Advanced Robotics Research, EarlyView.
We introduce a microrobot design and integrated system for on‐demand targeted drug release in the gastrointestinal tract. The microrobot has an embedded magnet for actuation with external magnetic fields and is visualized in real time using ultrasound. It has two drug release ports sealed with a thermally sensitive wax. Local heating of the wax using a
Aaron C. Davis, Luis Carlos Sanjuan Acosta, Shubh P. Mehta, Baiyan Qi, Yang Yang, Luis Solorio, Craig J. Goergen, David J. Cappelleri   +7 more
wiley   +1 more source

An iterative structure decomposition learning method for complex Bayesian networks

Complex & Intelligent Systems
Bayesian network structure decomposition learning is an advanced method for building complex Bayesian network structure. The methods build an initial graph at one time, then decompose it and learn these sub-graphs, and finally combine all the subgraphs ...
Xiaolong Jia, Hongru Li
doaj   +1 more source

Backpropagation Through Soft Body: Investigating Information Processing in Brain–Body Coupling Systems

Advanced Robotics Research, EarlyView.
This study explores how information processing is distributed between brains and bodies through a codesign approach. Using the “backpropagation through soft body” framework, brain–body coupling agents are developed and analyzed across several tasks in which output is generated through the agents’ physical dynamics.
Hiroki Tomioka, Katsuma Inoue, Yasuo Kuniyoshi, Kohei Nakajima   +3 more
wiley   +1 more source

Intelligent Maintenance Review for Robots: Multimodal Information, Deep Diagnosis and Embodied Artificial Intelligence

Advanced Robotics Research, EarlyView.
This review maps the methods to monitor robots’ health by fusing vibration, sound, control signals, vision, force, and oil information with artificial intelligence. It identifies deep learning, transfer learning, digital twins, and physics‐informed models as key methodological pathways enabling earlier diagnosis, safer human–robot collaboration, and ...
Yuting Qiao, Hongbo Wang, Naipeng Li, Shuo Wang, Yaguo Lei, Tonghai Wu, Junyi Cao   +6 more
wiley   +1 more source

Learning‐Based Soft Robotic Grasping: Recent Progress and Remaining Challenges

Advanced Robotics Research, EarlyView.
This review analyzes learning‐based soft robotic grasping from a pipeline‐oriented perspective, encompassing soft gripper design, multimodal sensing, and learning‐based planning and control. It surveys key neural network architectures and benchmark datasets and identifies critical challenges such as sim‐to‐real transfer, generalization, and continual ...
Arnab Majumder, Jelizaveta Konstantinova, Graham Deacon, Kaspar Althoefer   +3 more
wiley   +1 more source

From Pores to Pavement: Advanced Modeling of Aluminosilicates for Scalable Carbon Capture in Concrete

Advanced Science, EarlyView.
This study presents a transferable modeling framework for carbon capture using aluminosilicates, integrating Universal Isotherm Modeling with experimental data. It reveals how ultramicropores, alumina content, and amine functionalization influence CO2 adsorption energetics.
Pooja Anil Kumar Nair, Jéssica de O. N. Ribeiro, Murilo Daniel de Mello Innocentini, Kevin Paine, Juliana Calabria‐Holley   +4 more
wiley   +1 more source