期刊：Inventions

期刊主页：https://www.mdpi.com/journal/inventions

本期编辑荐读精选2025年发表于Inventions期刊（IF 1.9；CiteScore 5.7；收录于 Scopus、ESCI、Ei Compendex，ISSN：2411-5134）“人工智能”领域文章，期望为“人工智能”领域学者提供有价值的研究参考与学术启发，欢迎关注与阅读。

1. A Novel Invention for Controlled Plant Cutting Growth: Chamber Design Enabling Data Collection for AI Tasks

一种可控植物扦插生长新型装置：适用于人工智能数据采集的腔体结构设计

https://www.mdpi.com/2411-5134/10/6/108

Ávila-Sánchez, J.G.; López-Martínez, M.d.J.; Maeda-Gutiérrez, V.; López-Monteagudo, F.E.; Castañeda-Miranda, C.L.; Rivera-Escobedo, M.; Verlienden, S.; Soto-Zarazua, G.M.; Olvera-Olvera, C.A. A Novel Invention for Controlled Plant Cutting Growth: Chamber Design Enabling Data Collection for AI Tasks. Inventions 2025, 10, 108. https://doi.org/10.3390/inventions10060108

2. A Multimodal Artificial Intelligence Framework for Intelligent Geospatial Data Validation and Correction

面向地理空间数据智能校验与修正的多模态人工智能框架

https://www.mdpi.com/2411-5134/10/4/59

Skaug, L.; Nojoumian, M. A Multimodal Artificial Intelligence Framework for Intelligent Geospatial Data Validation and Correction. Inventions 2025, 10, 59. https://doi.org/10.3390/inventions10040059

3. Internet of Things Smart Beehive Network: Homogeneous Data, Modeling, and Forecasting the Honey Robbing Phenomenon

物联网智能蜂箱网络：同质数据处理、建模与盗蜂现象预测

https://www.mdpi.com/2411-5134/10/2/23

Kurdin, I.; Kurdina, A. Internet of Things Smart Beehive Network: Homogeneous Data, Modeling, and Forecasting the Honey Robbing Phenomenon. Inventions 2025, 10, 23. https://doi.org/10.3390/inventions10020023

4. Machine Learning Applications for Diagnosing Parkinson’s Disease via Speech, Language, and Voice Changes: A Systematic Review

基于言语、语言及嗓音特征变化的帕金森病机器学习诊断应用系统性综述

https://www.mdpi.com/2411-5134/10/4/48

Hossain, M.A.; Traini, E.; Amenta, F. Machine Learning Applications for Diagnosing Parkinson’s Disease via Speech, Language, and Voice Changes: A Systematic Review. Inventions 2025, 10, 48. https://doi.org/10.3390/inventions10040048

Inventions 期刊介绍

主编：Chien-Hung Liu, National Chung Hsing University；Shoou-Jinn Chang, National Cheng Kung University

期刊重点关注基于专利或创新的原创性科学研究，涵盖工程、电子、材料、能源、先进制造、智能设计等领域的突破性发明与技术革新。目前已被Scopus、ESCI (Web of Science)、Ei Compendex等数据库收录。