Results 101 to 110 of about 35,845 (259)
Image encryption optimization algorithm based on GA-PSO and DNA convolutional code
Image encryption is essential for protecting sensitive data, yet achieving both high security and reliable recoverability under complex noisy channels remains challenging. To address this issue, we propose an image encryption optimization algorithm based
Jingxi Tian +3 more
doaj +1 more source
The perspective presents an integrated view of neuromorphic technologies, from device physics to real‐time applicability, while highlighting the necessity of full‐stack co‐optimization. By outlining practical hardware‐level strategies to exploit device behavior and mitigate non‐idealities, it shows pathways for building efficient, scalable, and ...
Kapil Bhardwaj +8 more
wiley +1 more source
Organic Materials of Tomorrow: Horizons of Artificial Intelligence
This review examines machine learning techniques accelerating the discovery of organic semiconductors by linking molecular structure to properties. Key methods include graph neural networks, generative models, and active learning. Applications to organic photovoltaics demonstrate practical impact.
Harold Mena +3 more
wiley +1 more source
Rough lacunary statistical convergence via ideals in L-fuzzy normed spaces
The present article aims to explain and investigate the concept of rough lacunary statistical convergence of sequences through ideals within L-fuzzy normed spaces. We introduce key concepts such as rough lacunary ideal statistical limit points and rough lacunary ideal cluster points in L-fuzzy normed spaces.
Manpreet Kaur +2 more
openaire +1 more source
Rethinking Charge Transport and Recombination in Donor‐Diluted Organic Solar Cells
Organic solar cells with 1–45% PM6 content in Y12 were studied to link structure and charge dynamics to performance. The conductivity follows a 3D percolation model without a sharp threshold. Donor dilution preserves the photogeneration yield, but limits the fill factor due to transport resistance losses.
Chen Wang +14 more
wiley +1 more source
A dual‐timescale reservoir based on monolithically 3D (M3D)‐integrated CNT solid ion‐gated transistors is demonstrated. Tunable ionic dynamics and pulse‐engineered operation enable linear and symmetric synaptic updates. The M3D‐integrated array achieves robust temporal encoding and accurate classification of moving MNIST sequences, highlighting its ...
Haksoon Jung +9 more
wiley +1 more source
The present study examines the impact of incorporating soft computing algorithms during neural network training on the evaluation and prediction performance of artificial neural networks.
J.G. AL-Juaid +6 more
doaj +1 more source
Statistical convergent functions via ideals with respect to the intuitionistic fuzzy 2-normed spaces
The main objective of this paper is to introduce and studythe notion of ideal Lamda-statistical convergence of a nonnegative real-valuedLebesque measurable function in the interval (1,infinity) with respect to theintuitionistic fuzzy 2-normed (Mü, vi) , investigate their relationship, and make some observationsabout these classes.
openaire +3 more sources
Vacuum‐assisted capillary infiltration delivers perovskite precursors deep into gold nanohole plasmonic hotspots, enabling uniform in situ crystallization of bulk‐like CsPbBr3 within confined cavities. Verified by peel‐off and structural analyses, the hybrid platform shows simulated |E/E₀| ≈2.80 at 800 nm and ∼40‐fold two‐photon absorption‐enhanced ...
Jung‐Jae Do +8 more
wiley +1 more source
Context and background Despite its crucial contribution to eliminating poverty, addressing hunger, and boosting the agricultural potential of many Sub-Saharan African (SSA) countries, the successful implementation of digital agriculture ...
tendayi gondo
doaj +1 more source

