Results 51 to 60 of about 2,300,178 (218)
An Improved Rough Clustering Using Discernibility Based Initial Seed Computation [PDF]
In this paper, we present the discernibility approach for an initial seed computation of Rough K-Means (RKM). We propose the use of the discernibility initial seed computation (ISC) for RKM.
Djoko Budiyanto Setyohadi +5 more
core +1 more source
A Soft, Flexible Implant for Wireless Photothermal–Pyroelectric Neurostimulation
A replication strategy is used to enlarge the exposed surface area of barium titanate within flexible films with embedded carbon nanotubes, enabling efficient photothermal‐pyroelectric stimulation. Polar crystalline nanosheets show superior performance in guiding neural progenitor cells toward neuronal differentiation.
Jiang Wu +7 more
wiley +1 more source
Laser‐induced graphene (LIG) provides a scalable, laser‐direct‐written route to porous graphene architecture with tunable chemistry and defect density. Through heterojunction engineering, catalytic functionalization, and intrinsic self‐heating, LIG achieves highly sensitive and selective detection of NOX, NH3, H2, and humidity, supporting next ...
Md Abu Sayeed Biswas +6 more
wiley +1 more source
Multiferroic order parameters – polarization, magnetization, and ferroelastic strain – are positioned as dynamic design variables for batteries. Their mechanistic roles, practical tuning through fabrication and external fields, and ferroic‐resolved characterization routes are unified into a closed‐loop framework, revealing how coupled ferroic responses
Jiaqi Su +13 more
wiley +1 more source
We introduce a vision‐based real‐time monitoring system for additive manufacturing that detects subtle moisture‐induced degradation via a diffusion model‐based framework. The approach enables nondestructive assessment of moisture‐induced damage level and mechanical performance and establishes a practical route toward more intelligent, reliable, and ...
Jiyoung Jung +4 more
wiley +1 more source
Generalized Discernibility Function Based Attribute Reduction in Incomplete Decision Systems [PDF]
A rough set approach for attribute reduction is an important research subject in data mining and machine learning. However, most attribute reduction methods are performed on a complete decision system table.
Dinh, Vu Van, Giang, Nguyen Long
core +1 more source
A nebulized nanoassembly alleviates radiation‐induced lung injury by reprogramming macrophages through coordinated ROS scavenging, NAD+ replenishment, and PPAR‐γ activation. Redox balance, mitochondrial homeostasis, and immune regulation are restored, revealing a microenvironment‐centered strategy for localized radioprotection.
Mingquan Gao +11 more
wiley +1 more source
ATTRIBUTE VALUE PAIRS BASED ON DISCERNIBILITY MATRIX FOR OUTLIERS DETECTION
Outlier mining is one important task in data mining and it has always been receiving attention from many researchers. The detection of outliers is found useful in many real applications like fraud detection and network intrusion.
UNIVERSITAS BINA DARMA, UNIVERSITAS BINA DARMA
core
By altering surface chemical bonds to prolong relaxation time and shift absorption to lower frequencies, SiC/rare earth–sulfur (RE─S, RE = La, Ce, Pr, Sm, Gd, Er) materials achieve excellent low‐frequency electromagnetic wave absorption under extreme conditions, offering a new direction for designing high‐performance SiC‐based absorbers.
Zhanming Wu +5 more
wiley +1 more source
Single‐cell mechanomics demonstrates that pharmacological perturbation changes cytoskeletal and cortical structure, suppressing cancer cell invasiveness. By integrating atomic force microscopy (AFM)‐based cortical measurements with stimulated emission depletion (STED)‐resolved adhesion and cytoskeletal organization, this approach identifies nanoscale ...
Minhee Ku +4 more
wiley +1 more source

