Results 71 to 80 of about 3,987,318 (283)

GeoPOINT – synthetic point generator for geospatial applications

SoftwareX
GeoPOINT is an open-source Python tool for generating, transforming, and analyzing 3D point datasets under geospatial constraints. It combines symbolic mathematics with white-box optimization to simulate realistic transformation scenarios, including ...
Grzegorz Stępień, Karol Kabała, Jakub Śledziowski   +2 more
doaj   +1 more source

APNAS: Accuracy-and-Performance-Aware Neural Architecture Search for Neural Hardware Accelerators

IEEE Access, 2020
Designing resource-efficient deep neural networks (DNNs) is a challenging task due to the enormous diversity of applications as well as their time-consuming design, training, optimization, and evaluation cycles, especially the resource-constrained ...
Paniti Achararit, Muhammad Abdullah Hanif, Rachmad Vidya Wicaksana Putra, Muhammad Shafique, Yuko Hara-Azumi   +4 more
doaj   +1 more source

MGSim - Simulation tools for multi-core processor architectures [PDF]

, 2013
MGSim is an open source discrete event simulator for on-chip hardware components, developed at the University of Amsterdam. It is intended to be a research and teaching vehicle to study the fine-grained hardware/software interactions on many-core and ...
Fu, Jian, Jesshope, Chris R., Lankamp, Mike, Poss, Raphael, Uddin, Irfan, Yang, Qiang   +5 more
core   +1 more source

Learning Fast and Slow: PROPEDEUTICA for Real-time Malware Detection

, 2017
In this paper, we introduce and evaluate PROPEDEUTICA, a novel methodology and framework for efficient and effective real-time malware detection, leveraging the best of conventional machine learning (ML) and deep learning (DL) algorithms. In PROPEDEUTICA,
Chen, Aokun, Gregio, Andre, He, Pan, Li, Xiaolin, Oliveira, Daniela, Sun, Ruimin, Yuan, Xiaoyong, Zhu, Qile   +7 more
core   +1 more source

Data-efficient performance learning for configurable systems [PDF]

, 2017
Many software systems today are configurable, offering customization of functionality by feature selection. Understanding how performance varies in terms of feature selection is key for selecting appropriate configurations that meet a set of given ...
AA Abdelaziz, Andrzej Wasowski, Atrisha Sarkar, B Efron, Dingyu Yang, F Hutter, G Williams, Huiqun Yu, J Bergstra, J Happe, Jianmei Guo, K Czarnecki, Krzysztof Czarnecki, N Siegmund, Norbert Siegmund, Pavel Valov, R Berk, S Apel, S Balsamo, S Chen, S Nadi, S She, Sven Apel   +22 more
core   +1 more source

Accuracy Analysis and Structure Configuration of Binocular Vision System [PDF]

Advances in Computer Science Research, 2015
In order to improve the measurement accuracy of binocular vision system, a structural model is build. On the basis of it, relational features between target point and structural parameter of system are analyzed, and the effect of each parameter to the measurement accuracy is simulated. According to simulation results, the general principles and methods
Qiang Fu, Yuanzeng Cheng, Xinfeng Fan
openaire   +1 more source

Ion‐Gating Reservoir Computing for Preprocessing‐Free Speech Recognition from Throat Vibrations

Advanced Electronic Materials, EarlyView.
This work presents a throat‐mounted mechanoelectric sensor integrated with an ion‐gel/graphene reservoir device for on‐device speech recognition. The system converts raw biomechanical vibrations into rich nonlinear current dynamics, enabling efficient classification through a simple linear readout. The approach highlights a compact and tunable physical‐
Daiki Nishioka, Akito Tateyama, Hina Kitano, Takashi Nakanishi, Kazuya Terabe, Takashi Tsuchiya   +5 more
wiley   +1 more source

Configurable Kernel Map Implementation in Memristor Crossbar for Convolution Neural Network

Advanced Intelligent Systems
This study experimentally verifies a configurable convolutional neural network implementation in a 48 × 48 memristor crossbar array. It allows the number of convolution reading cycles to be adjusted based on design demands, such as area or time ...
Gyeonghae Kim, Sangwook Youn, Jinwoo Park, Hyungjin Kim   +3 more
doaj   +1 more source

Recognition method of accounting fraud risk based on financial knowledge graph

大数据, 2021
Since the accounting risk events exhibit complexity increasingly and occur frequently, a method merged by industrial knowledge and financial knowledge graph was proposed to recognize and prevent commercial bank's accounting risk more precisely.Based on ...
Qiang CHEN, Shiya DAI
doaj  

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, Gabriel Villarrubia Gonzalez, Ademir Nied, Laio Oriel Seman, Anne Carolina Rodrigues Klaar, Stefano Frizzo Stefenon   +5 more
wiley   +1 more source