Results 51 to 60 of about 30,403 (262)

Influence of protected environments and irrigation methods on plant growth and seed yield of coriander (Coriandrum sativum)

The Indian Journal of Agricultural Sciences, 2015
A field experiment to study the effect of different protected environments and irrigation methods on growth and yield of coriander (Coriandrum sativum L.) was conducted at NRCSS, Tabiji, Ajmer, Rajasthan during rabi season of the year 2008-09 to 2010-11.
G LAL, BALRAJ SINGH, S P MAHERIA
doaj   +1 more source

A Dual‐Branch Flux‐Based Extended Memristor Model With Machine‐Learning‐Assisted Calibration

Advanced Electronic Materials, EarlyView.
Multilayer oxide memristors integrated in crossbar arrays are described through a dual‐branch, flux‐controlled compact model. A three‐stage calibration workflow combining Latin hypercube sampling, Bayesian optimization, and gradient‐based refinement extracts device parameters from experimental data.
Davide Rossetti, K. Nikiruy, A.S. Demirkol, Alon Ascoli, M. Ziegler, R. Tetzlaff, Fernando Corinto   +6 more
wiley   +1 more source

Influence of drying methods on preservation of colour and quality attributes in celery (Apium graveolens L.) and dill (Anethum graveolens L.) leaves

Applied Food Research
Lack of appropriate drying methods for celery and dill green leaves results in significant losses in sensory attributes, color, and physical quality.
Shiv Lal, M.K. Mahatma, S.N. Saxena, C.K. Jangir, O.P. Aishwath, V. Bhardwaj, Monika Choudhary   +6 more
doaj   +1 more source

Investigation on the Impact of Memristive Device Variability on Uncoupled Memristive Cellular Nonlinear Networks

Advanced Electronic Materials, EarlyView.
Memristors, nanoscale devices that compute and store data in the same place, promise compact, energy‐efficient image‐processing hardware, yet no two devices behave exactly alike. Simulations based on real device measurements show that a 256‐cell memristive cellular nonlinear network (M‐CellNN) detects image edges perfectly despite this variability and ...
Salwa Yasmeen Neyaz, Kristoffer Schnieders, Yongmin Wang, Alon Ascoli, Ioannis Messaris, Ronald Tetzlaff, Vasileios Ntinas, Ricardo Carmona Galán, Stefan Wiefels, Vikas Rana, Stephan Menzel   +10 more
wiley   +1 more source

Not All Agreements Are Equal: Heterogeneous Effects of RTAs on Latin American Agri‐Food Exports, 1990–2019

Agribusiness, EarlyView.
ABSTRACT Since the final decade of the 20th century, Latin American countries have increasingly regarded the signing of regional trade agreements (RTAs) as a promising strategy for expanding their exports. Within this context, the main objective of this study is to assess the impact of RTAs on agri‐food exports in Latin America over the period 1990 ...
María‐Isabel Ayuda, Ignacio Belloc, Vicente Pinilla   +2 more
wiley   +1 more source

AI‐Guided Co‐Optimization of Advanced Field‐Effect Transistors: Bridging Material, Device, and Fabrication Design

Advanced Intelligent Discovery, EarlyView.
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, Shauryaraj K. Jilkar, Aditya Udgaonkar, Yu (Joe) Lu, Ali Mesbah   +4 more
wiley   +1 more source

Parametric Analysis of Spiking Neurons in 16 nm Fin Field‐Effect Transistor Technology

Advanced Intelligent Discovery, EarlyView.
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, Raiyan Siddique, Sarah S. Sharif, Yaser Mike Banad   +3 more
wiley   +1 more source

Compact Modeling of Volatile‐Switching Electrochemical Metallization Memory Cells by Means of the Electromotive Force

Advanced Intelligent Systems, EarlyView.
A volatile‐switching compact model of electrochemical metallization memory cells for neuromorphic architecture is developed and validated by reliable reproduction of device characterization measurements: I−V sweeps, SET kinetics, relaxation dynamics.
Rana Walied Ahmad, Solomon Amsalu Chekol, Julius Rasbach, Susanne Hoffmann‐Eifert, Stephan Menzel   +4 more
wiley   +1 more source

Exploiting Ferroelectric and Spintronic Dynamics for Neural Network Computation

Advanced Intelligent Systems, EarlyView.
Ferroelectric and spintronic devices, relying on the control of polarization and magnetization, offer intrinsically fast, durable, energy‐efficient, and low‐latency building blocks for analog in‐memory computing. The hysteretic dynamics of an order parameter are leveraged to provide nonvolatile, multistate memory and nonlinear switching. Brain‐inspired
Dashiell Harrison, Kevin Nadaud, Josquin Harrison, Guillaume F. Nataf, Laura Bégon‐Lours   +4 more
wiley   +1 more source

Bayesian Optimization–Reinforcement Learning Hybrid Framework for a‐IGZO Thin‐Film Transistor Compact Model Parameter Extraction in 2T0C Dynamic Random Access Memory Applications

Advanced Intelligent Systems, EarlyView.
A training‐free two‐stage BO–RL framework extracts compact model parameters for a‐IGZO TFTs, reaching BO‐level fitting quality at a constant per‐simulation optimization cost. Bayesian optimization performs exploration and provides an optimized starting point.
Seunghyun Son, Taejun Ha, Taeyoung Nam, Yoonyoung Chung, Sunmean Kim   +4 more
wiley   +1 more source