A recurrent neural network‐based rotor displacement estimation method for eight‐pole active magnetic bearing by Longyuan Fan, Zicheng Liu, Haijiao Wang, Dong Jiang, Yu Chen

“…Experimental results validate the effectiveness of the algorithm and demonstrate that the proposed method has high accuracy, robustness and generalisation ability.…”
Get full text

Online Ensemble Using Adaptive Windowing for Data Streams with Concept Drift by Yange Sun, Zhihai Wang, Haiyang Liu, Chao Du, Jidong Yuan

“…Once a change is detected, a new classifier is built replacing the worst one in the ensemble. …”
Get full text

Disentangling Multiannual Air Quality Profiles Aided by Self-Organizing Map and Positive Matrix Factorization by Stefano Fornasaro, Aleksander Astel, Pierluigi Barbieri, Sabina Licen

“…Here, we report a combined approach involving the Self-Organizing Map (SOM) algorithm, Hierarchical Clustering Analysis (HCA), and Positive Matrix Factorization (PMF) to disentangle multiannual, multisite data in a single elaboration without previously separating the sites and years. …”
Get full text

Gas Bubbles Investigation in Contaminated Water Using Optical Tomography Based on Independent Component Analysis Method by Mohd Taufiq Mohd Khairi, Sallehuddin Ibrahim, Mohd Amri Md Yunus, Mahdi Faramarzi

“…The system is aided by the independent component analysis (ICA) algorithm to reconstruct the concentration profiles of the liquid-gas flow. …”
Get full text

Paget’s disease of the breast (a review of literature) by E. A. Nikitina, M. I. Nechushkin, A. V. Trigolosov, Ya. V. Vishnevskaya

“…Despite a significant increase in newly detected cases of breast cancer, PD is accounting for 0.5–5.0 % of all breast tumors in the world. …”
Get full text

Using the power of artificial intelligence to improve the diagnosis and management of nonmelanoma skin cancer by Fahimeh Abdollahimajd, Fatemeh Abbasi, Alireza Motamedi, Narges Koohi, Reza Mohamoud Robati, Mona Gorji

“…While generally less aggressive than melanoma, early detection and treatment are crucial to prevent the complications. …”
Get full text

VisME: Visual microsaccades explorer by Tanja Munz, Lewis L. Chuang, Sebastian Pannasch, Daniel Weiskopf

“…Research studies often apply filter algorithms and parameter values for microsaccade detection. …”
Get full text

A SAP-DoA Method for the Localization of Two Buried Objects by Simone Meschino, Lara Pajewski, Giuseppe Schettini

“…Several simulations have been performed to compare different DoA algorithms and to test the localization method in the presence of two buried cylinders. …”
Get full text

Artificial intelligence in primary aldosteronism: current achievements and future challenges by Yisi Xu, Benjin Liu, Xuqi Huang, Xudong Guo, Ning Suo, Shaobo Jiang, Hanbo Wang

“…For diagnosis, AI-driven algorithms have further enhanced the specificity of PA identification. …”
Get full text

A comprehensive review of heart rate measurement using remote photoplethysmography and deep learning by Uday Debnath, Sungho Kim

“…The rapid advancement of deep learning techniques in recent years has driven numerous studies to integrate these models with rPPG for HR detection in remote health monitoring systems. This study provides a comprehensive review of both conventional approaches and recent developments in rPPG and deep learning algorithms. …”
Get full text

Machine Learning to Assess Relatedness: The Advantage of Using Firm-Level Data by Giambattista Albora, Andrea Zaccaria

“…We also discuss the effect of using parameter optimization and community detection algorithms to identify clusters of related companies and products, finding that a partition into a higher number of blocks decreases the computational time while maintaining a prediction performance well above the network-based benchmarks.…”
Get full text

A Comparison of Approaches for Handling Concept Drifts in Data Processed With Machine Learning by Emanuel Valerio Pereira, Wendley Souza da Silva

“…Various concept drift detection algorithms are employed, facilitating a holistic assessment. …”
Get full text

Machine Learning Approaches for Software Defect Prediction by Hijab Zehra Zaidi, Ubaid Ullah, Muddassira Arshad, Hanan Aljuaid, Muhammad Arslan Rauf, Nadeem Sarwar, Rimsha Sajid

“…The paper reviews the use of machine learning algorithms in software defect prediction framework’s bug prediction while assessing their performance across multiple environments. …”
Get full text

Challenges and opportunities with ChatGPT in oral oncology: The journey ahead by Ribwar Arsalan Mohammed, Sirwan Khalid Ahmed

“…ChatGPT's use of natural language processing enables it to analyze complex medical data, aiding in early cancer detection and personalized treatment planning based on evidence-based guidelines. …”
Get full text

Method of automatic coregistration of digital remote sensing images from different sources by A.N. Borisov, V.V. Myasnikov, V.V. Sergeev

“…The main stages of the proposed method include: an optional upscaling (up to four times); an optional number of image channels reduction to three or one; keypoint detection, their description and alignment. To achieve a universal and robust solution in the latter stages, the best-known algorithms were compared: SIFT, SAR-SIFT, RIFT, and the trainable RoMa. …”
Get full text

Damage Diagnosis in 3D Structures Using a Novel Hybrid Multiobjective Optimization and FE Model Updating Framework by Nizar Faisal Alkayem, Maosen Cao, Minvydas Ragulskis

“…Swarm intelligence and evolutionary algorithms (EAs) can be well adapted for solving the problem. …”
Get full text

Real‐Time Coseismic Slip Estimation via the GNSS Carrier Phase to Fault Slip Approach: A Case Study of the 2016 Kumamoto Earthquake by Yusuke Tanaka, Yusaku Ohta, Shin'ichi Miyazaki

“…Abstract We investigate the feasibility of Global Navigation Satellite System (GNSS)‐based deformation monitoring that detects coseismic fault slip directly from GNSS carrier phases without conventional positioning analysis. …”
Get full text

Classification of Arabic Alphabets Using a Combination of a Convolutional Neural Network and the Morphological Gradient Method by Mouhssine EL ATILLAH, Khalid EL FAZAZY, Jamal Riffi

“…Considering the nature of the dataset images (binary images), the contours of the alphabets are detected using the mathematical algorithm of the morphological gradient. …”
Get full text

Interactive Medical Image Segmentation using Active Contour with Improved F Energy in Level-Set Tuning by Khosro Rezaee, Mohammad Khalil Nakhl Ahmadi, Maryam Saberi Anari

“…We suggested a method based on Active Contour (AC) and modified Level-set techniques to detect malignancies in magnetic resonance imaging (MRI), mammography, and computed tomography (CT). …”
Get full text

Multiobject Tracking in Videos Based on LSTM and Deep Reinforcement Learning by Ming-xin Jiang, Chao Deng, Zhi-geng Pan, Lan-fang Wang, Xing Sun

“…In this paper, we propose a multiobject tracking algorithm in videos based on long short-term memory (LSTM) and deep reinforcement learning. …”
Get full text