Results 141 to 150 of about 613,158 (317)

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

Advanced 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, Qian Jiang, Xin Jin, Puming Wang, Xing Chu, Shaowen Yao, Shengfa Miao   +6 more
wiley   +1 more source

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

Journal 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, Ema Utami, Ainul Yaqin   +2 more
doaj   +1 more source

Towards a more efficient SVM supervector speaker verification system using Gaussian reduction and a tree-structured hash

, 2013
Richard McClanahan, Phillip L. De León
openalex   +2 more sources

An Efficient Normalized Rank Based SVM for Room Level Indoor WiFi Localization with Diverse Devices [PDF]

, 2017
Yasmine Rezgui, Ling Pei, Xin Chen, Fei Wen, Chen Han   +4 more
openalex   +1 more source

Decoding Tattoo and Permanent Makeup Pigments: Linking Physicochemical Properties to Absorption, Distribution, Metabolism, and Elimination Profiles Using Quantitative Structure–Activity Relationship (QSAR)‐Based New Approach Methodologies (NAMs)

Advanced Intelligent Discovery, EarlyView.
This study applies QSAR‐based new approach methodologies to 90 synthetic tattoo and permanent makeup pigments, revealing systemic links between their physicochemical properties and absorption, distribution, metabolism, and elimination profiles. The correlation‐driven analysis using SwissADME, ChemBCPP, and principal component analysis uncovers insights
Girija Bansod, Ajay Vikram Singh, Preeti Bhardwaj, Tulika Rai, Sweta Vijay Nakhale, Amruta Shelar, Rajendra Patil, Peter Laux, Andreas Luch, Christopher J. Osgood, Michael W. Stacey   +10 more
wiley   +1 more source

Performance Analysis of Logistic Regression, Naive Bayes, KNN, Decision Tree, Random Forest and SVM on Hate Speech Detection from Twitter

, 2023
Subhajeet Das, Koushikk Bhattacharyya, Sonali Sarkar   +2 more
openalex   +1 more source

AI‐Enhanced Surface‐Enhanced Raman Scattering for Accurate and Sensitive Biomedical Sensing

Advanced Intelligent Discovery, EarlyView.
AI‐SERS advances spectral interpretation with greater precision and speed, enhancing molecular detection, biomedical analysis, and imaging. This review explores its essential contributions to biofluid analysis, disease identification, therapeutic agent evaluation, and high‐resolution biomedical imaging, aiding diagnostic decision‐making.
Seungki Lee, Rowoon Park, Ho Sang Jung
wiley   +1 more source

Training and testing sample data used in "Exploring the potential of 3D Zernike descriptors and SVM for protein-protein interface prediction"

, 2017
Sebastian Daberdaku, Carlo Ferrari
openalex   +1 more source

What to Make and How to Make It: Combining Machine Learning and Statistical Learning to Design New Materials

Advanced Intelligent Discovery, EarlyView.
Combining machine learning and probabilistic statistical learning is a powerful way to discover and design new materials. A variety of machine learning approaches can be used to identify promising candidates for target applications, and causal inference can help identify potential ways to make them a reality.
Jonathan Y. C. Ting, Amanda S. Barnard
wiley   +1 more source

Forecasting the Mechanical Properties of Plastic Concrete Employing Experimental Data Using Machine Learning Algorithms: DT, MLPNN, SVM, and RF [PDF]

, 2022
Afnan Nafees, Sherbaz Khan, Muhammad Faisal Javed, Raid Alrowais, Abdeliazim Mustafa Mohamed, Abdullah Mohamed, Nikolai Vatin   +6 more
openalex   +1 more source