Results 71 to 80 of about 613,158 (317)
Decision tree SVM model with Fisher feature selection for speech emotion recognition
The overall recognition rate will reduce due to the increase of emotional confusion in multiple speech emotion recognition. To solve the problem, we propose a speech emotion recognition method based on the decision tree support vector machine (SVM) model
Linhui Sun, Sheng Fu, Fu Wang
semanticscholar +1 more source
Electron–Matter Interactions During Electron Beam Nanopatterning
This article reviews the electron–matter interactions important to nanopatterning with electron beam lithography (EBL). Electron–matter interactions, including secondary electron generation routes, polymer radiolysis, and electron beam induced charging, are discussed.
Camila Faccini de Lima +2 more
wiley +1 more source
Harnessing Photo‐Energy Conversion in Nanomaterials for Precision Theranostics
Harnessing photo‐energy conversion in nanomaterials enables precision theranostics through light‐driven mechanisms such as photoluminescence, photothermal, photoelectric, photoacoustic, photo‐triggered surface‐enhanced Raman scattering (SERS), and photodynamic processes. This review explores six fundamental principles of photo‐energy conversion, recent
Jingyu Shi +4 more
wiley +1 more source
Ensemble SVM Method for Automatic Sleep Stage Classification
Sleep scoring is used as a diagnostic technique in the diagnosis and treatment of sleep disorders. Automated sleep scoring is crucial, since the large volume of data should be analyzed visually by the sleep specialists which is burdensome, time-consuming
E. Alickovic, A. Subasi
semanticscholar +1 more source
Beyond Conventional Cooling: Advanced Micro/Nanostructures for Managing Extreme Heat Flux
This review examines the design, application, and manufacturing of biomimetic or engineered micro/nanostructures for managing high heat‐flux in multi‐level electronics by enhancing conductive, convective, phase‐changing, and radiative heat transfer mechanisms, highlighting their potential for efficient, targeted thermal management, and future prospects.
Yuankun Zhang +7 more
wiley +1 more source
PVP-SVM: Sequence-Based Prediction of Phage Virion Proteins Using a Support Vector Machine
Accurately identifying bacteriophage virion proteins from uncharacterized sequences is important to understand interactions between the phage and its host bacteria in order to develop new antibacterial drugs.
Balachandran Manavalan +2 more
semanticscholar +1 more source
MXene and MBene nanomaterials show significant potential in addressing critical challenges in biomedicine, applied biology, agriculture, and the environment. From a nano‐agricultural perspective, this relatively young field has witnessed emerging advances towards applications for plant‐immunoengineering, biostimulation, and controlled delivery ...
Alireza Rafieerad +3 more
wiley +1 more source
Applications of QSPR and Machine Learning in Molecular Photonics
Quantitative structureproperty relationships (QSPR) and machine learning (ML) are transforming photochemistry by enabling pre‐synthetic screening of photoactive molecules. This review outlines advances in data‐driven discovery of optical materials and functional dyes, identifies effective descriptors and models for photophysical processes, and provides
Andrey A. Buglak +2 more
wiley +1 more source
The number of visitors to Lombok, one of the famous tourist destinations in Indonesia, increased from 400,595 in 2020 to 1,376,295 in 2022. Although the government supports the hotel industry, fake reviews are a significant problem that can damage hotel ...
Zulpan Hadi +3 more
doaj +1 more source
Region-based classification of PolSAR data can be effectively performed by seeking for the assignment that minimizes a distance between prototypes and segments. Silva et al.
Rogério G. Negri +4 more
doaj +1 more source

