Deep learning for cyber threat detection in IoT networks: A review by Alyazia Aldhaheri, Fatima Alwahedi, Mohamed Amine Ferrag, Ammar Battah

Subjects: Get full text

On Quantum Methods for Machine Learning Problems Part I: Quantum Tools by Farid Ablayev, Marat Ablayev, Joshua Zhexue Huang, Kamil Khadiev, Nailya Salikhova, Dingming Wu

Subjects: Get full text

LANGUAGE LEARNING STRATEGIES EMPLOYED BY EFL LEARNERS IN A RURAL AREA by Yanik Lailinas Sakinah, Putu Dian Danayanti Degeng, Sahiruddin Sahiruddin

Subjects: “…Language Learning Strategies…”
Get full text

Drawing as a learning tool for anatomy: design and implementation of a method. by Elena Martínez Carracelas, Miguel Ángel Fernández-Villacañas Marín, Matilde Moreno Cascales, Diego Flores Funes

Subjects: Get full text

Designing a system of learning materials to explain climate change to children by Lucy Blackwell

Subjects: Get full text

Plucking Point and Posture Determination of Tea Buds Based on Deep Learning by Chengju Dong, Weibin Wu, Chongyang Han, Zhiheng Zeng, Ting Tang, Wenwei Liu

Subjects: Get full text

Machine learning-based spectrum occupancy prediction: a comprehensive survey by Mehmet Ali Aygül, Mehmet Ali Aygül, Hakan Ali Çırpan, Hüseyin Arslan

Subjects: Get full text

Majority or Minority: Data Imbalance Learning Method for Named Entity Recognition by Sota Nemoto, Shunsuke Kitada, Hitoshi Iyatomi

Subjects: Get full text

The Application of Machine Learning for Creating a Typology of Universities' Financial Models by I. A. Khodachek, D. V. Minaev, A. V. Zinkovskaya, E. B. Yablokov

Subjects: Get full text

Prediction of Fluid Viscosity in Multiphase Reservoir Oil System by Machine Learning by Lihua Shao, Ru Ji, Shuyi Du, Hongqing Song

“…This study proposed three viscosity prediction models based on machine learning approaches. The prediction accuracy comparison results show that the random forest (RF) model performs accurately in predicting the viscosity of each phase of the reservoir, with the lowest error percentage and highest R2 values. …”
Get full text

Explainable machine learning framework for cataracts recognition using visual features by Xiao Wu, Lingxi Hu, Zunjie Xiao, Xiaoqing Zhang, Risa Higashita, Jiang Liu

Subjects: Get full text

Multi-task hybrid dictionary learning for vehicle classification in sensor networks by Rui Wang, Miaomiao Shen, Tao Wang, Wenming Cao

“…In this article, we propose a novel multi-task hybrid dictionary learning approach for moving vehicle classification tasks using multi-sensor networks to improve the classification accuracy in complex scenes with low time complexity, which considers both correlations and complementary information among multiple heterogeneous sensors simultaneously to learn a hybrid dictionary within observations of each sensor. …”
Get full text

Machine Learning-Based Classification of Turkish Music for Mood-Driven Selection by Nazime Tokgöz, Ali Değirmenci, Ömer Karal

“…This study seeks to employ machine learning-based methods to classify four different music genres using a minimal set of features. …”
Get full text

Social learning activities to improve community engagement in waste management program by S. Sunarti, R.S.Y. Zebua, J.H. Tjakraatmadja, A. Ghazali, B. Rahardyan, K. Koeswinarno, S. Suradi, N. Nurhayu, R.H.A. Ansyah

Subjects: Get full text

Retracted: Multimedia Data Processing Technology and Application Based on Deep Learning by Advances in Multimedia

Get full text

An Extreme Learning Machine-Based Community Detection Algorithm in Complex Networks by Feifan Wang, Baihai Zhang, Senchun Chai, Yuanqing Xia

“…In this paper, by means of fusing unsupervised extreme learning machines and the k-means clustering techniques, we propose a novel community detection method that surpasses traditional k-means approaches in terms of precision and stability while adding very few extra computational costs. …”
Get full text

Deep learning application for stellar parameter determination: III-denoising procedure by Gebran Marwan, Bentley Ian, Brienza Rose, Paletou Frédéric

Subjects: Get full text

Semantic Recognition and Location of Cracks by Fusing Cracks Segmentation and Deep Learning by Qing An, Xijiang Chen, Xiaoyan Du, Jiewen Yang, Shusen Wu, Ya Ban

Get full text

Maximum Power Point Tracking of PV Grids Using Deep Learning by K. Rafeeq Ahmed, Farrukh Sayeed, K. Logavani, T. J. Catherine, Shimpy Ralhan, Mahesh Singh, R. Thandaiah Prabu, B. Bala Subramanian, Adane Kassa

“…In this paper, we develop a deep learning model using back propagation neural network (BPNN) that helps to obtain maximum power point. …”
Get full text

Interactive Arabic E-Learning for Prospective Students Studying in the Middle East by Mohammad Zaelani Musonif, Hanik Mahliatussikah, Kholisin Kholisin

Subjects: “…Arabic E-learning…”
Get full text