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

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Pattern memory cannot be completely and truly realized in deep neural networks by Tingting Li, Ruimin Lyu, Zhenping Xie

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

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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

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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

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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

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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

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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

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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

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Nomogram for predicting the efficacy of high-intensity focused ultrasound ablation for uterine fibroids based on oxytocin experimentation and ultrasonographic features: a retrospec... by Sheng Chen, Danling Zhang, Guisheng Ding, Mengqi Chen, Songsong Wu, Jianzhong Zou

“…The model was visualized by a nomogram, and its discriminative ability, calibration, and clinical value were evaluated.Results Types of myomas, classification of blood flow around the myomas, location of the myomas, and classification of oxytocin were selected as the final predictive factors to construct the model. …”
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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. …”
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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%. …”
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Attention-based deep learning for accurate cell image analysis by Xiangrui Gao, Fan Zhang, Xueyu Guo, Mengcheng Yao, Xiaoxiao Wang, Dong Chen, Genwei Zhang, Xiaodong Wang, Lipeng Lai

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Forming a Definition of a Town. Poland in the Context of Universal History by Marek Słoń

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AI-Based Models for Identifying Underdeveloped Villages in Indonesia's Rural Development by Harun Al Azies

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

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

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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

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FEATURE EXTRACTION AND ESTABLISHMENT BASED ON PUMPING UNIT WORKING CONDITIONS AND GLOBAL FAULT IDENTIFICATION by REN Taizhu, FAN Jun, JIANG Xiaxin

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