Results 161 to 170 of about 17,106 (265)

A novel attention-based deep learning model for improving sentiment classification after the case of the 2023 Kahramanmaras/Turkey earthquake on Twitter. [PDF]

PeerJ Comput Sci
Aslan S, Yildirim M.
europepmc   +1 more source

Machine Learning‐Based Estimation of Experimental Artifacts and Image Quality in Fluorescence Microscopy

Advanced Intelligent Systems, Volume 7, Issue 3, March 2025.
The use of image quality metrics in combination with machine learning enables automatic image quality assessment for fluorescence microscopy images. The method can be integrated into the experimental pipeline for optical microscopy and utilized to classify artifacts in experimental images and to build quality rankings with a reference‐free approach ...
Elena Corbetta, Thomas Bocklitz
wiley   +1 more source

Evaluation of adjective and adverb types for effective Twitter sentiment classification. [PDF]

PLoS One
Ali SF, Masood N.
europepmc   +1 more source

Effect of daily new cases of COVID-19 on public sentiment and concern: Deep learning-based sentiment classification and semantic network analysis. [PDF]

J Public Health (Berl), 2023
Che S, Wang X, Zhang S, Kim JH.
europepmc   +1 more source

BMPCQA: Bioinspired Metaverse Point Cloud Quality Assessment Based on Large Multimodal Models

Advanced Intelligent Systems, EarlyView.
This study presents a bioinspired metaverse point cloud quality assessment metric, which simulates the human visual evaluation process to perform the point cloud quality assessment task. It first extracts rendering projection video features, normal image features, and point cloud patch features, which are then fed into a large multimodal model to ...
Huiyu Duan, Kang Fu, Sijing Wu, Yunhao Li, Zicheng Zhang, Qiang Hu, Xiongkuo Min, Guangtao Zhai   +7 more
wiley   +1 more source

Sentiment classification for insider threat identification using metaheuristic optimized machine learning classifiers. [PDF]

Sci Rep
Mladenovic D, Antonijevic M, Jovanovic L, Simic V, Zivkovic M, Bacanin N, Zivkovic T, Perisic J.   +7 more
europepmc   +1 more source

Human‐in‐the‐Loop Swarms: A Bionic Swarm Approach to Real‐World Soil Mapping

Advanced Intelligent Systems, EarlyView.
This article introduces the “Bionic Swarm,” a novel system that lowers the barriers to real‐world swarm validation by abstracting difficult hardware tasks to app‐guided human agents. We demonstrate the system's utility through the experimental validation of a geotechnical soil‐mapping swarm algorithm and show superior performance to baseline approaches
Petras Swissler, Mohammadali Rashidioun, Nicholas Sahu, Raaid Kabir, Ayodeji Aderibigbe, Oladoyin Kolawole   +5 more
wiley   +1 more source

Domain adaptive learning for multi realm sentiment classification on big data. [PDF]

PLoS One
Ijaz M, Anwar N, Safran M, Alfarhood S, Sadad T, Imran.   +5 more
europepmc   +1 more source

Vision‐Based Handover and Organization of Robotic Scrub Nurse for Seamless Surgical Flow

Advanced Intelligent Systems, EarlyView.
This study presents a pose estimation‐based robotic scrub nurse (PERSN) that assists surgical procedures by estimating the surgeon's hand position, orientation, and grasping state, along with the constraint‐based 6D pose of surgical instruments. User evaluations show that PERSN provides greater immediate usability and reduces physical demand compared ...
Seongjoon Kang, Jae Woo Shim, Geunwu Gimm, Seung Jae Choi, Jong Hyeon Lee, Youho Myong, Yoon Jae Kim, Changhoon Baek, Minwoo Cho, Sungwan Kim   +9 more
wiley   +1 more source

Chinese text dual attention network for aspect-level sentiment classification. [PDF]

PLoS One
Sun X, Liu Z, Li H, Ying F, Tao Y.
europepmc   +1 more source