找回密碼
 To register

QQ登錄

只需一步,快速開始

掃一掃,訪問微社區(qū)

打印 上一主題 下一主題

Titlebook: AI and Multimodal Services– AIMS 2024; 13th International C Xiuqin Pan,Mengxing Huang,Liang-Jie Zhang Conference proceedings 2025 The Edito

[復制鏈接]
樓主: Jackson
21#
發(fā)表于 2025-3-25 06:57:23 | 只看該作者
22#
發(fā)表于 2025-3-25 11:01:45 | 只看該作者
23#
發(fā)表于 2025-3-25 13:56:48 | 只看該作者
24#
發(fā)表于 2025-3-25 15:55:43 | 只看該作者
XcepSENet: An Intelligent Yoga Pose Classification System Based on Mediapipedataset, the XcepSENet network is compared with three deep learning models—VGG16, InceptionV3, and MobileNetV2—evaluating metrics such as accuracy, precision, recall, and F1 score to draw conclusions, To prove that the model can provide feedback more timely and accurately to achieve higher training
25#
發(fā)表于 2025-3-25 23:16:15 | 只看該作者
26#
發(fā)表于 2025-3-26 00:49:41 | 只看該作者
AI Value Protocol: Utilizing Blockchain to Promote AI AIVPal for significant positive impact. Blockchain technology is employed to securely record the details and assessments of these projects, providing a transparent and tamper-proof history of their development. The second step, AI Verification, focuses on ensuring the reliability, accuracy, and ethical
27#
發(fā)表于 2025-3-26 07:32:46 | 只看該作者
Flood Inundation Range Prediction Method Based on SRR-Informer, the SRR algorithm is used to select the representative locations that are easy to be inundated in the basin, which reduces the number of locations required for spatial modeling of flood inundation range and the corresponding data requirements. The experimental results show that this method can imp
28#
發(fā)表于 2025-3-26 09:48:43 | 只看該作者
Steffen Hillebrecht,Anke-Andrea Peinigerethodology for constructing robust causal model-driven decision frameworks, emphasizing the comprehensive utilization of generative AI to incorporate domain knowledge with causal inferences. Through an in-depth analysis of case studies across multiple domains, this model-driven approach empirically
29#
發(fā)表于 2025-3-26 16:15:56 | 只看該作者
Steffen W. Hillebrecht,Anke-Andrea Peiniger of features and attention enhancement. In addition, we introduce gated cross network instead of FM modules in the feature interaction layer to capture higher-order explicit feature interactions. Comprehensive experimental results on Frappe and Malware datasets demonstrate the effectiveness and supe
30#
發(fā)表于 2025-3-26 19:06:28 | 只看該作者
 關于派博傳思  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 論文服務流程 影響因子官網(wǎng) 吾愛論文網(wǎng) 大講堂 北京大學 Oxford Uni. Harvard Uni.
發(fā)展歷史沿革 期刊點評 投稿經驗總結 SCIENCEGARD IMPACTFACTOR 派博系數(shù) 清華大學 Yale Uni. Stanford Uni.
QQ|Archiver|手機版|小黑屋| 派博傳思國際 ( 京公網(wǎng)安備110108008328) GMT+8, 2025-10-12 04:36
Copyright © 2001-2015 派博傳思   京公網(wǎng)安備110108008328 版權所有 All rights reserved
快速回復 返回頂部 返回列表
萝北县| 孝感市| 连城县| 元朗区| 连平县| 昆明市| 彭阳县| 陆良县| 驻马店市| 远安县| 依兰县| 长白| 德清县| 花莲县| 嵩明县| 陇西县| 中宁县| 齐齐哈尔市| 凤城市| 宁晋县| 巴南区| 顺平县| 江永县| 望都县| 行唐县| 井研县| 和林格尔县| 横峰县| 汽车| 高青县| 太保市| 钟山县| 阿坝| 井陉县| 历史| 临安市| 林芝县| 宁波市| 赣州市| 璧山县| 佛坪县|