Results 91 to 100 of about 16,931 (262)
Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology
Energy efficient computing has driven a shift toward brain‐inspired neuromorphic hardware. This study explores the design of three distinct silicon neuron topologies implemented in 16 nm fin field‐Effect transistor technology. While the Axon‐Hillock design achieves gigahertz throughput, its functional fragility persists. The Morris–Lecar model captures
Logan Larsh +3 more
wiley +1 more source
Materials informatics and autonomous experimentation are transforming the discovery of organic molecular crystals. This review presents an integrated molecule–crystal–function–optimization workflow combining machine learning, crystal structure prediction, and Bayesian optimization with robotic platforms.
Takuya Taniguchi +2 more
wiley +1 more source
Reliability and Quantile Analysis of Pareto Distribution [PDF]
This paper presents the reliability and Quantile analysis of the Pareto distribution. The main interests are in the relationship between and various percentiles lives that describe the spread of the values in a set of data.
M. Shuaib Khan +3 more
doaj
This research demonstrates that the combination of domain knowledge–based multiple regression, multi‐objective Bayesian optimization, and generative models is a suitable prediction tool for candidates of high refractive index polymers, even with the constraints in the model trained on limited data. The experimental validation can reproduce the proposed
Takuya Yokoo +3 more
wiley +1 more source
An agentic AI‐driven decision‐support framework for prosumers is proposed, integrating PV generation, load profiling, and multihorizon optimization within a four‐agent architecture. The approach significantly reduces grid dependence, enhances self‐sufficiency and prevents system oversizing.
Adela BÂRA, Simona‐Vasilica OPREA
wiley +1 more source
The phase discontinuity problem—where the cyclic nature of phase angles causes catastrophic errors near the ±π boundary—is a fundamental obstacle in learning‐based reconfigurable intelligent surface (RIS) optimization. A phase‐aware hybrid CNN–LSTM framework resolves this by decomposing phase predictions into sine–cosine components, mapping circular ...
Seda Savaşçı Şen +3 more
wiley +1 more source
Abstract Crop insurance is undoubtedly an extremely valuable element in protecting agricultural businesses, but in many cases standard indemnity‐based products have had very low uptake due to high transaction costs elevating premiums to unaffordable levels.
Amogh Prakasha Kumar +2 more
wiley +1 more source
Objective Multiple sclerosis (MS) is a chronic autoimmune disease where B cells play a central pathogenic role. Cladribine, an oral therapy, provides durable benefits by reshaping lymphocyte populations, yet its specific long‐term impact on distinct B‐cell subsets is not fully understood.
Marta Pirronello +20 more
wiley +1 more source
Process Optimization of Solution Blow Spinning for Poly (N‐Isopropylacrylamide) Fibers
Solution blow spinning has emerged as a safe and scalable technique for fabricating thermoresponsive PNIPAM fibers. The influence of key parameters on jet stability and fiber uniformity is determined through both rheological analysis and statistical process optimization. A Box–Behnken design reveals an optimized window for producing PNIPAM fibers below
Maryam Parastar +2 more
wiley +1 more source
Abstract While Gaokao, the National College Entrance Examination (NCEE), has been extensively discussed outside the Chinese academic circle, the retake policy of the test has not received much attention. Moreover, Gaokao research in China has predominantly examined the effectiveness of the retake decision in relation to students' demographic ...
Yifeng Cheng, M. Obaidul Hamid
wiley +1 more source

