Results 141 to 150 of about 767,622 (306)
This article outlines how artificial intelligence could reshape the design of next‐generation transistors as traditional scaling reaches its limits. It discusses emerging roles of machine learning across materials selection, device modeling, and fabrication processes, and highlights hierarchical reinforcement learning as a promising framework for ...
Shoubhanik Nath +4 more
wiley +1 more source
This study analyzed the technical efficiency of poultry production in Peninsular Malaysia using the stochastic frontier production function analysis. Time series data were collected for this purpose. The frontier function involved variables such as farm,
Ibrahim Yunus
doaj
Analysis of Technical Efficiency and Varietal Differences in Pistachio Production in Iran Using a Meta-Frontier Analysis [PDF]
This paper reports on an analysis of technical efficiency and varietal differences in pistachio production in Iran. A random sample of 475 farmers was selected from the province of Kerman in 2003 and 2004. In this study, farmers are classified into three
Villano, Renato A. +2 more
core
Autonomous AI‐Driven Design for Skin Product Formulations
This review presents a comprehensive closed‐loop framework for autonomous skin product formulation design. By integrating artificial intelligence‐driven experiment selection with automated multi‐tiered assays, the approach shifts development from trial‐and‐error to intelligent optimisation.
Yu Zhang +5 more
wiley +1 more source
TECHNICAL EFFICIENCY OF CHINESE GRAIN PRODUCTION: A STOCHASTIC PRODUCTION FRONTIER APPROACH [PDF]
This article examines technical efficiency of the Chinese grain sector using the framework of stochastic production frontier. The results reveal that: the marginal products of labor and fertilizer are much smaller than that of land; human capital and ...
Huffman, Wallace E. +2 more
core
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
Efficiency of financial micro intermediation in the WAEMU countries: A stochastic frontier production analysis. [PDF]
This paper investigates the efficacy and technical efficiency of financial micro intermediation in the productive process of the WAEMU economies over the period 2002-2007 using a stochastic frontier production model with technical inefficiency effects ...
BABATOUNDE, Latoundji Alain
core
A machine learning framework simultaneously predicts four critical properties of monomers for emulsion polymerization: propagation rate constant, reactivity ratios, glass transition temperature, and water solubility. These tools can be used to systematically identify viable bio‐based monomer pairs as replacements for conventional formulations, with ...
Kiarash Farajzadehahary +1 more
wiley +1 more source
ASSESSING THE LOUISIANA SHRIMP FISHING FLEET TECHNICAL EFFICIENCY USING A BAYESIAN STOCHASTIC COST FRONTIER MODEL [PDF]
A Bayesian stochastic cost frontier analyzed the shrimp fleet of Louisiana. A translog cost function was estimated. 269 vessels were included and sub-grouped by length (60ft), and net type (trawl, skimmer, and butterfly).
Lavergne, David R., Icabalceta, Jorge L.
core
Data‐Efficient Cycle‐Level Capacity Prediction Using 1D Deep Convolutional Network
We introduce DeepBat, a deep learning framework featuring a 1D convolutional backbone designed to extract latent degradation patterns from a microstructurally diverse electrode dataset. By learning complex formulation–performance relationships, the model accurately predicts long‐term specific discharge capacity using limited early‐cycle data, providing
Tao Huang +16 more
wiley +1 more source

