The Comparison of Classical Statistical and Machine Learning Methods in Prediction of Thrombosis in Patients with Acute Myeloid Leukemia by Ilija Doknić, Mirjana Mitrović, Zoran Bukumirić, Marijana Virijević, Nikola Pantić, Nikica Sabljić, Darko Antić, Živko Bojović

Subjects: Get full text

Neuromathematics as an effective tool for forecasting social development of Russian regions by R.V. Gubarev, E.I. Dzyuba

Subjects: “…bayesian assembly of neural networks…”
Get full text

Deep Learning Algorithm Analysis of Potato Disease Classification for System on Chip Implementation by John Adebisi, Sesham Srinu, Varqa Mitonga

Subjects: “…Convolutional Neural Networks…”
Get full text

Integrated analysis of bioinformatics, mendelian randomization, and experimental validation reveals novel diagnostic and therapeutic targets for osteoarthritis: progesterone as a p... by Ziyu Weng, Chenzhong Wang, Bo Liu, Yi Yang, Yueqi Zhang, Chi Zhang

Subjects: Get full text

Safely Imitating Predictive Control Policies for Real-Time Human-Aware Manipulator Motion Planning: A Dataset Aggregation Approach by Aigerim Nurbayeva, Matteo Rubagotti

Subjects: Get full text

Development of software package for determining efficiency of energy saving devices and technologies in production process of enterprise by A. A. Komyakov, A. V. Ponomarev, V. V. Erbes

Subjects: Get full text

Using a YOLO Deep Learning Algorithm to Improve the Accuracy of 3D Object Detection by Autonomous Vehicles by Ramavhale Murendeni, Alfred Mwanza, Ibidun Christiana Obagbuwa

Subjects: “…convolutional neural networks…”
Get full text

Tracking illegal activities using video surveillance systems: a review of the current state of research by D. O. Zhadan, M. V. Mordvyntsev, D. V. Pashniev

Subjects: Get full text

NMT-translation – basic models, quality assessment by I. A. Borunov

Subjects: Get full text

Optimizing Lightweight Recurrent Networks for Solar Forecasting in TinyML: Modified Metaheuristics and Legal Implications by Gradimirka Popovic , Zaklina Spalevic , Luka Jovanovic , Miodrag Zivkovic , Lazar Stosic , Nebojsa Bacanin 

Subjects: Get full text

A parallel CNN architecture for sport activity recognition based on minimal movement data by Huipeng Zhao

Subjects: Get full text

Multi-Scale Channel Distillation Network for Image Compressive Sensing by Tianyu Zhang, Kuntao Ye, Yue Zhang, Rui Lu

Subjects: “…Convolutional neural networks…”
Get full text

Signal Processing-Free Intelligent Model for Power Quality Disturbances Identification by Mohammed F. Al-Mashdali, Asif Islam, Abdulbasit Hassan, Md Shafiullah, Mujahed Al-Dhaifallah, Khalid Al Fuwail

Subjects: “…Convolutional neural networks (CNN)…”
Get full text

Temporally Deformable Convolution for Gait Recognition by Juyoung Kim, Beomseong Kim, Heesung Lee

Subjects: Get full text

AI-driven video summarization for optimizing content retrieval and management through deep learning techniques by Deepali Vora, Payal Kadam, Dadaso D Mohite, Nilesh Kumar, Nimit Kumar, Pratheeik Radhakrishnan, Shalmali Bhagwat

Subjects: Get full text

High-Impedance Fault Detection in DC Microgrid Lines Using Open-Set Recognition by Ivan Grcić, Hrvoje Pandžić

Subjects: Get full text

A Hybrid Forecasting Model Based on Bivariate Division and a Backpropagation Artificial Neural Network Optimized by Chaos Particle Swarm Optimization for Day-Ahead Electricity Price by Zhilong Wang, Feng Liu, Jie Wu, Jianzhou Wang

“…Based on the chaos particle swarm optimization (CPSO), the backpropagation artificial neural network (BPANN), and the idea of bivariate division, this paper proposes a bivariate division BPANN (BD-BPANN) method and the CPSO-BD-BPANN method for forecasting electricity price. …”
Get full text

TransRAUNet: A Deep Neural Network with Reverse Attention Module Using HU Windowing Augmentation for Robust Liver Vessel Segmentation in Full Resolution of CT Images by Kyoung Yoon Lim, Jae Eun Ko, Yoo Na Hwang, Sang Goo Lee, Sung Min Kim

Subjects: Get full text

Evolving Spiking Neural Network Model for PM2.5 Hourly Concentration Prediction Based on Seasonal Differences: A Case Study on Data from Beijing and Shanghai by Hengyuan Liu, Guibin Lu, Yangjun Wang, Nikola Kasabov

Subjects: Get full text

Study on the Identification of Radix Bupleuri from Its Unofficial Varieties Based on Discrete Wavelet Transformation Feature Extraction of ATR-FTIR Spectroscopy Combined with Probability Neural Network by Wenying Jin, Chayan Wan, Cungui Cheng

“…The infrared spectra and spectra of Fourier self-deconvolution (FSD), discrete wavelet transform (DWT), and probability neural network (PNN) of these species were analyzed. By the method of FSD, there were conspicuous differences of the infrared absorption peak intensity of different types between Radix Bupleuri and its unofficial varieties. …”
Get full text