Results 101 to 110 of about 142,938 (289)

Development of a machine learning-based interface for insulin dependency prediction using clinical data

Scientific Reports
Diabetes mellitus is a major global health burden, and early identification of insulin dependency is important for timely intervention. This study developed an artificial intelligence-based diagnostic system using a real-world clinical dataset of 100 ...
Vinod Kumar Yata, Om Pritam Das, B. V. S. Lakshmi, M. Vaishnavi, Mohd Arif Uddin, Aparna Srikantam, Sarad Pawar Naik Bukke   +6 more
doaj   +1 more source

A transformer based multi task learning approach to multimodal hate speech detection

Natural Language Processing Journal
Online hate speech has become a major social issue in recent years, affecting both individuals and society as a whole. Memes are a multimodal kind of internet hate speech that is growing more common. Online memes are often entertaining and harmless.
Prashant Kapil, Asif Ekbal
doaj   +1 more source

Quasi‐Bound States in the Continuum on the Bloch‐Surface‐Wave Platform for Sensing With Simultaneous High Q‐Factor and High Sensitivity

Advanced Optical Materials, EarlyView.
Quasi‐bound states in the continuum on the Bloch surface wave platform are demonstrated, exhibiting high Q‐factors due to strongly suppressed radiative losses and high sensitivity arising from the large evanescent field inherent to the surface wave. The resonance shows clear shifts after each surface molecular functionalization step, highlighting its ...
Bo‐Wei Lin, Mu‐Hsin Chen, Yang‐Chun Lee, Tang Dang, Di Xing, Hiroaki Matsui, Jean‐Jacques Delaunay   +6 more
wiley   +1 more source

An Efficient Diamond Raman Amplification Scheme Based on Adaptive Temporal Synchronization

Advanced Photonics Research, EarlyView.
This work reveals an adaptive temporal synchronization effect in delayed diamond Raman amplification, where the Stokes pulse shifts toward the fundamental peak. A periodic amplification scheme based on this phenomenon enables efficient pump recycling and enhanced energy conversion, offering a robust, delay‐tolerant strategy for advanced nonlinear ...
Hao Zheng, Zhenxu Bai, Hui Chen, Fei Zhang, Chengjin Shi, Jie Ding, Yulei Wang, Zhiwei Lu   +7 more
wiley   +1 more source

Prediction of postoperative intensive care unit admission with artificial intelligence models in non-small cell lung carcinoma

European Journal of Medical Research
Background There is no standard practice for intensive care admission after non-small cell lung cancer surgery. In this study, we aimed to determine the need for intensive care admission after non-small cell lung cancer surgery with deep learning models.
Gizem Özçıbık Işık, Burcu Kılıç, Ezel Erşen, Mehmet Kamil Kaynak, Akif Turna, Onur Sefa Özçıbık, Tülay Yıldırım, Hasan Volkan Kara   +7 more
doaj   +1 more source

AI‐Powered Framework for Evaluating Drug Efficacy for Three‐Dimensional In Vitro Cancer Models in Robot‐Assisted Production

Advanced Robotics Research, EarlyView.
An AI‐powered, robot‐assisted framework automatically produces, images, and analyzes 3D tumor spheroids to evaluate drug efficacy. Integrated modules handle spheroid formation, live/dead staining, brightfield imaging, and automated image analysis, including spheroid segmentation, viability and metrics to assess the drug treatment efficacy. The workflow
Dalia Mahdy, Jesus Nieves, Lukas Königer, Matthias Peindl, Fabio Erhard, Marc Möllmann, Anke Klingner, Markus Münig, Bibin Babu, Thomas Schwarz, Marco Metzger, Gudrun Dandekar, Maximiliane Wußmann, Jan Hansmann   +13 more
wiley   +1 more source

An AI‐Enabled All‐In‐One Visual, Proximity, and Tactile Perception Multimodal Sensor

Advanced Robotics Research, EarlyView.
Targeting integrated multimodal perception of robots, an AI‐enabled all‐in‐one multimodal sensor is proposed. This sensor is capable of perceiving three types of modalities, including vision, proximity, and tactility. By toggling an ultraviolet light and adjusting the camera focus, it switches smoothly between multiple perceptual modalities, enabling ...
Menghao Pu, Tiyong Zhao, Lingxi Zhang, Chaoqun Han, Zhiping Chai, Yifan Zhou, Han Ding, Zhigang Wu   +7 more
wiley   +1 more source

Smart REASSURED Sensors via Machine‐Augmented Printable On‐Paper Arrays

Advanced Sensor Research, EarlyView.
This perspective highlights the emerging role of pattern‐recognition, printable on‐paper sensor arrays for intelligent PoC diagnostics. It discusses how paper's inherent limitations can be overcome through surface modification and scalable printing, and how machine‐learning analysis of cross‐reactive arrays enables multiplexed, low‐cost, and REASSURED ...
Naimeh Naseri, Saba Ranjbar
wiley   +1 more source

Analisis Sentimen: Pengaruh Jam Kerja Terhadap Kesehatan Mental Generasi Z

Journal of Applied Computer Science and Technology
Mental health is a significant concern in society today, particularly for Generation Z, who are vulnerable to experiencing mental health problems that can disrupt daily productivity.
Muhammad Daffa Al Fahreza, Ardytha Luthfiarta, Muhammad Rafid, Michael Indrawan   +3 more
doaj   +1 more source

An intruder from another world: F1-score.

Revista Electrónica AnestesiaR
El F1-score, también llamado F-score o medida F, es un estimador de la capacidad de clasificación de una prueba que se usa con frecuencia en la ciencia de datos y en los algoritmos de inteligencia artificial y que puede ser de utilidad para la valoración de las pruebas diagnósticas.
openaire   +1 more source