Results 111 to 120 of about 23,384 (296)
An Autonomous Large Language Model‐Agent Framework for Transparent and Local Time Series Forecasting
Advanced Intelligent Discovery, EarlyView.Architecture of the proposed large language model (LLM)‐based agent framework for autonomous time series forecasting in thermal power generation systems. The framework operates through a vertical pipeline initiated by natural language queries from users, which are processed by the LLM Agent Core powered by Llama.cpp and a ReAct loop with persistent ...
William Gouvêa Buratto +5 more
wiley +1 more source
Optimizing 3D Bin Packing of Heterogeneous Objects Using Continuous Transformations in SE(3)
Advanced Intelligent Systems, EarlyView.This article presents a method for solving the three‐dimensional bin packing problem for heterogeneous objects using continuous rigid‐body transformations in SE(3). A heuristic optimization framework combines signed‐distance functions, neural network approximations, point‐cloud bin modeling, and physics simulation to ensure feasibility and stability ...
Michele Angelini, Marco Carricato
wiley +1 more source
In‐Memory Continuous‐Time SAT Solver Based on Bidirectional 11‐T SRAM Macro
Advanced Intelligent Systems, EarlyView.This article reported a continuous‐time (CT) Boolean satisfiability (SAT) problem solver using bidirectional 11T‐SRAM macro. The proposed system operates asynchronously using capacitor‐based gradient integration and maximizes the parallelism for SAT solving by in‐memory computing (IMC).
Dongseok Kwon +3 more
wiley +1 more source
Selection of the number of frequencies using bootstrap techniques in log-periodogram regression [PDF]
The choice of the bandwidth in the local log-periodogram regression is of crucial importance for estimation of the memory parameter of a long memory time series.
Arteche González, Jesús María +1 more
core
Stable Neural Signal Recording Processed by Memristor‐Based Reservoir Computing System
Advanced Intelligent Systems, EarlyView.This work introduces a memristor‐based reservoir computing (RC) system for real‐time, energy‐efficient processing of neural signals in brain‐machine interface (BMI). Combined with flexible mesh neural probes with tissue‐like flexibility and subcellular‐scale features that enable consistent, long‐term tracking of single‐cell neural activities, the ...
Soohyeon Kim +10 more
wiley +1 more source
Seifert's algorithm, Châtelet bases and the Alexander ideals of classical knots [PDF]
, 2002 I begin by developing a procedure for the construction of a Seifert surface, using Seifert's algorithm, and the calculation of a Seifert matrix for a knot from a suitable encoding of a knot diagram. This procedure deals with the inherent indeterminacy of
O'Brien, Killian Michael
core
SiOx‐Based Probabilistic Bits Enabling Invertible Logic Gate for Cryptographic Applications
Advanced Intelligent Systems, EarlyView.To enable lightweight hardware encryption and decryption, a Ti/SiOx/Ti threshold switching device is engineered to generate controllable stochastic oscillations. By tuning the input voltage, the device produces a programmable spike probability governed by intrinsic switching dynamics, enabling probabilistic bits that construct an invertible ...
Jihyun Kim, Hyeonsik Choi, Jiyong Woo
wiley +1 more source
Nonparametric regression for dependent data in the errors-in-variables problem [PDF]
We consider the nonparametric estimation of the regression functions for dependent data. Suppose that the covariates are observed with additive errors in the data and we employ nonparametric deconvolution kernel techniques to estimate the regression ...
Toshio Honda
core
Time‐Delayed Spiking Reservoir Computing Enables Efficient Time Series Prediction
Advanced Intelligent Systems, EarlyView.This study proposes time‐delayed spiking reservoir computing (TDSRC) for efficient time series prediction. By concatenating time‐lagged states, TDSRC constructs an expanded readout feature vector without altering internal reservoir dynamics. This approach enables highly accurate forecasting with significantly fewer neurons, providing a resource ...
Pin Jin +3 more
wiley +1 more source
Performance Evaluation of a Memory-Polynomial Model for Microwave Power Amplifiers
Programación Matemática y Software, 2012 This paper is focused on a model for the power amplifier considering the memory effects in short terms, this work was developed for periodic signals through Matlab software and was implemented in Simulink.
José Ricardo Cárdenas Valdez +3 more
doaj