Results 121 to 130 of about 442,254 (313)

AI‐Assisted Bioelectronics for Personalized Health Management

open access: yesAdvanced Electronic Materials, EarlyView.
Recent advances in artificial intelligence (AI)‐assisted bioelectronics, including materials, device fabrication, working mechanisms, AI‐hardware integration, and proof‐of‐concept applications in digital health management, are summarized. The emergence of AI‐assisted bioelectronic systems and potential solutions to existing challenges are discussed ...
Huiwen Xiong   +6 more
wiley   +1 more source

Multi-Class Classification of the YouTube Comments using Machine Learning

open access: yesPakistan Journal of Engineering & Technology, 2020
Due to huge data on Social media the people face difficulty to finding in qualitative content of the video if they find the qualitative content as per their judgment and knowledge, they do not confirm the actual content quality. People put their idea and
Shoaib Nawaz   +4 more
doaj  

Case-Based Statistical Learning: A Non-Parametric Implementation With a Conditional-Error Rate SVM

open access: gold, 2017
J. M. Górriz   +8 more
openalex   +1 more source

Prediction of Structural Stability of Layered Oxide Cathode Materials: Combination of Machine Learning and Ab Initio Thermodynamics

open access: yesAdvanced Energy Materials, EarlyView.
In this work, we developed a phase‐stability predictor by combining machine learning and ab initio thermodynamics approaches, and identified the key factors determining the favorable phase for a given composition. Specifically, a lower TM ionic potential, higher Na content, and higher mixing entropy favor the O3 phase.
Liang‐Ting Wu   +6 more
wiley   +1 more source

Domain‐Aware Implicit Network for Arbitrary‐Scale Remote Sensing Image Super‐Resolution

open access: yesAdvanced Intelligent Discovery, EarlyView.
Although existing arbitrary‐scale image super‐resolution methods are flexible to reconstruct images with arbitrary scales, the characteristic of training distribution is neglected that there exists domain shift between samples of various scales. In this work, a Domain‐Aware Implicit Network (DAIN) is proposed to handle it from the perspective of domain
Xiaoxuan Ren   +6 more
wiley   +1 more source

Pengaruh Komposisi Split Data Terhadap Performa Akurasi Analisis Sentimen Algoritma Naïve Bayes dan SVM

open access: yesJournal of Electrical Engineering and Computer
Analisis sentimen merupakan bidang yang penting dalam pengolahan bahasa alami dan aplikasi sosial media modern. Penelitian ini menginvestigasi pengaruh dari variasi komposisi split data terhadap performa akurasi model analisis sentimen menggunakan SVM ...
Yoga Adi Prasetyo   +2 more
doaj   +1 more source

Exploring Quantum Support Vector Regression for Predicting Hydrogen Storage Capacity of Nanoporous Materials

open access: yesAdvanced Intelligent Discovery, EarlyView.
In this study we employed support vector regressor and quantum support vector regressor to predict the hydrogen storage capacity of metal–organic frameworks using structural and physicochemical descriptors. This study presents a comparative analysis of classical support vector regression (SVR) and quantum support vector regression (QSVR) in predicting ...
Chandra Chowdhury
wiley   +1 more source

Domain Independent SVM for Transfer Learning in Brain Decoding [PDF]

open access: green, 2019
Shuo Zhou   +3 more
openalex   +1 more source

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