找回密碼
 To register

QQ登錄

只需一步,快速開(kāi)始

掃一掃,訪問(wèn)微社區(qū)

打印 上一主題 下一主題

Titlebook: Computational Neuroscience; Third Latin American Paulo Rogério de Almeida Ribeiro,Vinícius Rosa Cot Conference proceedings 2022 Springer Na

[復(fù)制鏈接]
樓主: subcutaneous
11#
發(fā)表于 2025-3-23 13:44:09 | 只看該作者
12#
發(fā)表于 2025-3-23 16:45:51 | 只看該作者
Use and?Interpretation of?Item Response Theory Applied to?Machine Learning, as a way to make them easier for the model, without modifying its performance. To this end, we divided the study into two experiments: the first one consists in increasing the items of greater difficulty, discrimination and guessing, adding noise to them; and the second one consists of reducing a
13#
發(fā)表于 2025-3-23 19:05:46 | 只看該作者
Towards Loop Closure Detection for?SLAM Applications Using Bag of?Visual Features: Experiments and?Ss resources. This paper discusses the evaluation of a Bag of Visual Features (BoVF) approach, extracting features through local descriptors (e.g., SIFT, SURF, KAZE), and local binary descriptors (e.g., BRIEF, ORB, BRISK, AKAZE, FREAK). The descriptors were evaluated in the recognition and classifica
14#
發(fā)表于 2025-3-24 01:23:17 | 只看該作者
Loss Function Regularization on?the?Iterated Racing Procedure for?Automatic Tuning of?RatSLAM Parameuate for the entire environment. This work proposes a regularisation of the automatic algorithm objective function to incorporate the advantages of the manual solution into it. The proposed process uses only part of a virtual environment to find the parameters for the RatSLAM. Then, these parameters
15#
發(fā)表于 2025-3-24 04:34:09 | 只看該作者
Controlling the?UR3 Robotic Arm Using a?Leap Motion: A Comparative Studysubjective questionnaires to compare the control methods and preferences. Our findings suggest that both methods employ similar gestures, but coded control takes less time with higher variations among ages. Moreover, subjects’ preferences indicate a slight inclination towards the open mode. Finally,
16#
發(fā)表于 2025-3-24 08:16:01 | 只看該作者
Web Service Based Epileptic Seizure Detection by?Applying Machine Learning Techniques applied diverse machine learning methods such as Decision Trees, Logistic Regression, Support Vector Machines (SVM), and Multilayer Perceptron (MLP) and compared their results. We also applied different preprocessing methods such as Fourier Transform, Cosine Transform, Short-Term Fourier Transform,
17#
發(fā)表于 2025-3-24 10:52:55 | 只看該作者
18#
發(fā)表于 2025-3-24 15:58:13 | 只看該作者
Implementation of Intra and Extracellular Nonperiodic Scale-Free Stimulation , for the NEURON SimulaEURON simulator. Neuronal responses reproduced the distinct temporal patterns of stimulation in a high-fidelity fashion, while being influenced by both stimulus polarity and distance from electrode tip. These results suggest our solutions successfully implemented intra and extracellular NPS (as well
19#
發(fā)表于 2025-3-24 22:15:34 | 只看該作者
Brain Connectivity Measures in?EEG-Based Biometry for?Epilepsy Patients: A Pilot Studys were obtained with magnitude-squared coherence and motif synchronization, for the data segmented in epochs of 10?s and filtered between 1 40?Hz. All the measures with the signal filtered in the same range obtained an accuracy equal or higher than ., a result that can be enhanced with more complex
20#
發(fā)表于 2025-3-25 01:11:04 | 只看該作者
 關(guān)于派博傳思  派博傳思旗下網(wǎng)站  友情鏈接
派博傳思介紹 公司地理位置 論文服務(wù)流程 影響因子官網(wǎng) 吾愛(ài)論文網(wǎng) 大講堂 北京大學(xué) Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點(diǎn)評(píng) 投稿經(jīng)驗(yàn)總結(jié) SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學(xué) Yale Uni. Stanford Uni.
QQ|Archiver|手機(jī)版|小黑屋| 派博傳思國(guó)際 ( 京公網(wǎng)安備110108008328) GMT+8, 2026-1-31 13:37
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權(quán)所有 All rights reserved
快速回復(fù) 返回頂部 返回列表
兖州市| 博湖县| 新郑市| 靖宇县| 壤塘县| 巢湖市| 中方县| 清新县| 潼关县| 保山市| 内黄县| 昌黎县| 阜康市| 寿宁县| 台南县| 平安县| 美姑县| 齐齐哈尔市| 宕昌县| 大化| 镇巴县| 巴林右旗| 皮山县| 黄石市| 连南| 雷州市| 忻州市| 河源市| 于田县| 板桥市| 云梦县| 新竹县| 广平县| 桓台县| 邓州市| 安陆市| 上高县| 苏尼特左旗| 沐川县| 宝坻区| 安溪县|