Results 81 to 90 of about 600,920 (291)
Advanced Science, EarlyView.INB3P is a multimodal framework for blood–brain barrier‐penetrating peptide prediction under extreme data scarcity and class imbalance. By combining physicochemical‐guided augmentation, sequence–structure co‐attention, and imbalance‐aware optimization, it improves predictive performance and interpretability.
Jingwei Lv +11 more
wiley +1 more source
Advanced Science, EarlyView.This study reports on the physical implementation of optical material‐based neural processing using long‐persistent luminescence as memory‐retention and nonlinear optical material. The system performs optical‐domain preprocessing with opto‐electronic interfaces for stimulus delivery and readout, enabling real‐time demonstrations including Pong gameplay
Sangwon Wi, Yunsang Lee
wiley +1 more source
A Latent Budget Analysis Approach to Classification: Examples from Economics [PDF]
Latent budget analysis is a classification technique that allows clustering identification by using compositional data. This paper presents examples of how this technique deals with the unit-sum constraint by establishing an initial independence model to
Larrosa, Juan MC
core +1 more source
Advanced Electronic Materials, EarlyView.A physics‐based compact model for Conductive‐Metal‐Oxide/HfOx ReRAM, accounting for ion dynamics, electronic conduction, and thermal effects, is presented. Accurate and versatile simulations of analog non‐volatile conductance modulation and memory state stabilization enable reliable circuit‐level studies, advancing the optimization of neuromorphic and ...
Matteo Galetta +9 more
wiley +1 more source
Organic Thin‐Film Transistors for Neuromorphic Computing
Advanced Electronic Materials, EarlyView.Organic thin‐film transistors (OTFTs) are reviewed for neuromorphic computing applications, highlighting their power‐efficient, and biological time‐scale operation. This article surveys OFET and OECT devices, compares them with memristors and CMOS, analyzes how fabrication parameters shape spike‐based metrics, proposes standardized characterization ...
Luke McCarthy +2 more
wiley +1 more source
An Empirical Study on Budget-Aware Online Kernel Algorithms for Streams of Graphs
, 2016 Kernel methods are considered an effective technique for on-line learning. Many approaches have been developed for compactly representing the dual solution of a kernel method when the problem imposes memory constraints.
Martino, Giovanni Da San +2 more
core +1 more source
Advanced Electronic Materials, EarlyView.Ising machines are emerging as specialized hardware solvers for computationally hard optimization problems. This review examines five major platforms—digital CMOS, analog CMOS, emerging devices, coherent optics, and quantum systems—highlighting physics‐rooted advantages and shared bottlenecks in scalability and connectivity.
Hyunjun Lee, Joon Pyo Kim, Sanghyeon Kim
wiley +1 more source
Mokslas: Lietuvos Ateitis, 2014 The article analyses factors influencing balance, explores importanceand significance of national budget. Firstly, to achieve thegoal, the conception of national budget is presented and mainfunctions are excluded.
Aivaras Senda, Ilona Skačkauskienė
doaj +1 more source
How to allocate Research (and other) Subsidies [PDF]
A budget-constrained buyer wants to purchase items from a shortlisted set. Items are differentiated by observable quality and sellers have private reserve prices for their items. The buyer’s problem is to select a subset of maximal quality.
Ludwig Ensthaler, Thomas Giebe
core
Crowdsourcing Paper Screening in Systematic Literature Reviews
, 2017 Literature reviews allow scientists to stand on the shoulders of giants, showing promising directions, summarizing progress, and pointing out existing challenges in research.
Benatallah, Boualem +3 more
core +2 more sources