Efisiensi Big Data Menggunakan Improved Nearest Neighbor by Aditya Hari Bawono, Ahmad Afif Supianto

Get full text

Advanced Mineral Deposit Mapping via Deep Learning and SVM Integration With Remote Sensing Imaging Data by Nazir Jan, Nasru Minallah, Madiha Sher, Muhammad Wasim, Shahid Khan, Amal Al‐Rasheed, Hazrat Ali

“…The results indicate that the SVM with a degree of 12 achieved the highest classification accuracy, followed by degrees 9, 6, and 3. …”
Get full text

An effective feature selection approach based on hybrid Grey Wolf Optimizer and Genetic Algorithm for hyperspectral image by Yiqun Shang, Minrui Zheng, Jiayang Li, Xinqi Zheng

Get full text

Computed Tomography Evaluation of Morphological Types of Femoral Trochlear Dysplasia in Small-Breed Dogs—A Retrospective Study by Radka S. Garnoeva

Get full text

Predictive models for the implementation of targeted reproductive management in multiparous cows on automatic milking systems by Fergus P. Hannon, Martin J. Green, Luke O'Grady, Chris Hudson, Anneke Gouw, Laura V. Randall

Get full text

Real structures on primary Hopf surfaces by Khaled Zahraa

Get full text

Wetland vegetation mapping improved by phenological leveraging of multitemporal nanosatellite images by Lucas T. Fromm, Laurence C. Smith, Ethan D. Kyzivat

Get full text

The application of series multi-pooling convolutional neural networks for medical image segmentation by Feng Wang, Siwei Huang, Lei Shi, Weiguo Fan

“…The main contents of this article were studied as follows: the principle and operating approach of convolutional neural network on image processing was first introduced, and then 12-layer convolutions were skillfully set up for local pathways based on two-way convolutional neural network architectures; considering the inter-label dependency in pixel areas, the situation of conditional random field was simulated to design the input series connection structure; multi-pooling input series connection model was designed to solve the problem that the input pixel area is limited; finally, the classification accuracy upon experiments reached 83%, which has verified the effectiveness of model to improve.…”
Get full text

Multimodal Data Fusion for Depression Detection Approach by Mariia Nykoniuk, Oleh Basystiuk, Nataliya Shakhovska, Nataliia Melnykova

Get full text

Implementation of Portable Ultrasound for Heart Disease Detection Using Cloud Computing-Based Machine Learning by Riyanto Sigit, Rika Rokhana, Setiawardhana, Taufiq Hidayat, Anwar, Jovan Josafat Jaenputra

Get full text

Monitoring the surface temperature and studying the land use relationship with surface temperature using OLI and TM image sensors (Case study: Meshginshahr city) by musa abedin, Ehsan Ghale, nazfar aghazadeh, maryam mohamadzadeh sheshegaran

Get full text

Investigating the key principles in two-step heterogeneous transfer learning for early laryngeal cancer identification by Xinyi Fang, Chak Fong Chong, Kei Long Wong, Marco Simões, Benjamin K. Ng

Get full text

Comprehensive dataset from high resolution UAV land cover mapping of diverse natural environments in Serbia by Bojana Ivošević, Nina Pajević, Sanja Brdar, Rana Waqar, Maryam Khan, João Valente

Get full text

Zipper Pattern: An Investigation into Psychotic Criminal Detection Using EEG Signals by Gulay Tasci, Prabal Datta Barua, Dahiru Tanko, Tugce Keles, Suat Tas, Ilknur Sercek, Suheda Kaya, Kubra Yildirim, Yunus Talu, Burak Tasci, Filiz Ozsoy, Nida Gonen, Irem Tasci, Sengul Dogan, Turker Tuncer

Get full text

Adulteration detection in cactus seed oil: Integrating analytical chemistry and machine learning approaches by Said El Harkaoui, Cristina Ortiz Cruz, Aaron Roggenland, Micha Schneider, Sascha Rohn, Stephan Drusch, Bertrand Matthäus

Get full text

Application of the OMERACT Grey-scale Ultrasound Scoring System for salivary glands in a single-centre cohort of patients with suspected Sjögren’s syndrome by Lene Terslev, Simon Krabbe, Viktoria Fana, Uffe M Dohn

“…Next, using different ultrasound cut-offs, to assess the performance of the scoring system for diagnosis and fulfilment of 2016 ACR/EULAR SS classification criteria.Methods All patients referred to our department with a suspicion of SS in a 12-month period were included. …”
Get full text

Autism spectrum disorder diagnosis with neural networks by Asude Demir, Seher Arslankaya

“…Data of 14 different parameters taken from children between 12-36 months of age were used, and as a result of the classification, the accuracy value of the neural network was 99.18%, the sensitivity value was 98.91%, the sensitivity value was 1 and the f1 score value was 99.45%. …”
Get full text

Symmetry-governed dynamics of magnetic skyrmions under field pulses by Vladyslav M. Kuchkin, Bruno Barton-Singer, Pavel F. Bessarab, Nikolai S. Kiselev

Get full text

Computational intelligence in the identification of Covid-19 patients  by using KNN-SVM Classifier by shaymaa adnan

Get full text

PENERAPAN METODE MATCHING MATH UNTUK MENINGKATKAN PRESTASI BELAJAR IPA MATERI KLASIFIKASI MAKHLUK HIDUP KELAS VIIA SMPN 2 KWADUNGAN NGAWI TAHUN PELAJARAN 2014/2015 by Anik Trihastuti

Get full text