Results 231 to 240 of about 151,821 (357)

Multimodal Haptic Perception Through Synergistic Nanocomposite Sensor Arrays

Advanced Materials Technologies, EarlyView.
Multi‐modal fingertip haptics are advanced through a bioinspired &vertical‐via' electronic skin architecture. A confined PDMS/MWCNT/NiNP nanocomposite, sitting at the percolation threshold, enables tactile, thermal, and magnetic sensing. A unique via‐density gradient and dedicated &Un‐Touch' reference nodes provide robust spatial resolution and signal ...
Amos Bardea, Fernando Patolsky
wiley   +1 more source

A genetic algorithm for the partial binary constraint satisfaction problem: an application to a frequency assignment problem

We describe a genetic algorithm for the partial constraint satisfaction problem. The typical elements of a genetic algorithm, selection, mutation and cross-over, are filled in with combinatorial ideas.
Kolen, Antoon
core  

Automated Design of Multi-Layer Planar Transformers: An EDA Tool Based on a Constraint-Preserving Genetic Algorithm

Dejun Ba, Yihe Wang, Faxin Yu, Xiaofeng Lyu   +3 more
openalex   +1 more source

Graphene‐Interfaced Stretchable Sweat Patch for Multiplexed Electrochemical Monitoring of IL‐6, Glucose, and Calcium Ions

Advanced Materials Technologies, EarlyView.
Flexible sweat sensor patch integrating graphene‑interfaced gold microelectrodes functionalized with bio‑receptors and ion‑selective membrane, coupled with a capillary‑driven microfluidic layer and portable potentiostat electronics for multiplexed monitoring of inflammatory, metabolic, and electrolyte biomarkers in microliter sweat volumes.
Roomia Memon, Ali Tufani, Süleyman Çelik, Javed H. Niazi, Anjum Qureshi   +4 more
wiley   +1 more source

Adaptive lateral constraint-driven POCS interpolation method. [PDF]

Sci Rep
Qin Z, Pan S, Chen J, Wang W, Chen Y.
europepmc   +1 more source

The Landscape of Tensor Rank: Algorithmic Complexity and Geometric Constraints

Revista, Zen, MATH, 10
openalex   +1 more source

Bidirectional Process Prediction in the Laser‐Induced‐Graphene Production Using Blackbox Deep Learning

Advanced Materials Technologies, EarlyView.
This study shows that a lightweight blackbox neural network provides a practical, cost‐effective solution for bidirectional process prediction in laser‐induced graphene (LIG) fabrication. Achieving high predictive performance with minimal overhead, the approach democratizes machine learning (ML) for resource‐limited environments.
Maxim Polomoshnov, Nitheesh M. Nair, Gerardo Hernández‐Sosa, Markus Reischl   +3 more
wiley   +1 more source

Learning-based multi-objective hyper-heuristic algorithm for reconfigurable assembly line scheduling problems. [PDF]

PLoS One
Zhao H, Huang X, Liu G, Li Z, Chen F, Lu G.   +5 more
europepmc   +1 more source

Scalable Task Planning via Large Language Models and Structured World Representations

Advanced Robotics Research, EarlyView.
This work efficiently combines graph‐based world representations with the commonsense knowledge in Large Language Models to enhance planning techniques for the large‐scale environments that modern robots will need to face. Planning methods often struggle with computational intractability when solving task‐level problems in large‐scale environments ...
Rodrigo Pérez‐Dattari, Zhaoting Li, Robert Babuška, Jens Kober, Cosimo Della Santina   +4 more
wiley   +1 more source

Security-Aware Codebook Design for Low-PAPR AFDM Systems. [PDF]

Sensors (Basel)
Zhang T, Dai H.
europepmc   +1 more source