Adaptive data embedding for curved spaces by Anoop Praturu, Tatyana O. Sharpee

“…Application of the method to COVID sequences revealed that viral evolution leaves the dimensionality of the space unchanged but produces a logarithmic increase in curvature, indicating a constant rate of information acquisition optimized under selective pressures. The algorithm also detected a contraction in curvature after the introduction of vaccines. …”
Get full text

Improving Performance of KNN and C4.5 using Particle Swarm Optimization in Classification of Heart Diseases by Pareza Alam Jusia, Abdul Rahim, Herti Yani, Jasmir Jasmir

“…In this research, a comparison was made of the performance of the PSO-based K-NN and C4.5 algorithms. Following experiments employing PSO optimization to improve the K-NN and C4.5 algorithms, the findings indicated that the K-NN algorithm performed exceptionally well with PSO, achieving an accuracy of 89.09%, precision of 89.61%, recall of 90.79%, and an AUC value of 0.935.…”
Get full text

Machine learning-based characteristic identification of MSG content in gravy foods by Rosyady Phisca Aditya, Habibah Nurina Umy, Masita, Yudhana Anton

“…Therefore, this research aims to detect the level of MSG content in soupy foods using Machine Learning. …”
Get full text

Eyes on nature: Embedded vision cameras for terrestrial biodiversity monitoring by Kevin F. A. Darras, Marcel Balle, Wenxiu Xu, Yang Yan, Vincent G. Zakka, Manuel Toledo‐Hernández, Dong Sheng, Wei Lin, Boyu Zhang, Zhenzhong Lan, Li Fupeng, Thomas C. Wanger

“…Our camera uses interchangeable lenses to resolve barely visible and remote targets, as well as customisable algorithms for blob detection, region‐of‐interest classification and object detection to automatically identify them. …”
Get full text

Streamlining Thoracic Radiotherapy Quality assurance: One-Class Classification for Automated OAR Contour Assessment by Yihao Zhao BSc, Cuiyun Yuan MSc, Ying Liang PhD, Yang Li MSc, Chunxia Li MSc, Man Zhao MSc, Jun Hu PhD, Ningze Zhong Bsc, Wei Liu PhD, Chenbin Liu PhD

“…Purpose Automating quality assurance (QA) for contours generated by automatic algorithms is critical in radiotherapy treatment planning. …”
Get full text

SSVEP Enhancement in Mixed Reality Environment for Brain–Computer Interfaces by Jieyu Wu, Feng He, Xiaolin Xiao, Runyuan Gao, Lin Meng, Xiuyun Liu, Minpeng Xu, Dong Ming

“…The proposed SA-xTRCA significantly outperformed the other four traditional algorithms. The online average information transfer rate (ITR) achieved 57.58 ± 5.31 bits/min. …”
Get full text

Arabidopsis Growth Simulation Using Image Processing Technology by Junmei Zhang, Qiuhong Ke, Ye Tian

“…With the segmentation result, the outer boundary series are obtained by using boundary tracking algorithm. The elliptic Fourier analysis is then carried out to extract the coefficients of the contour. …”
Get full text

Counting of Underwater Static Objects Through an Efficient Temporal Technique by Atif Naseer, Enrique Nava

“…The proposed method employs deep learning techniques to detect objects over time and an efficient spatial–temporal algorithm to track them, allowing for accurate counting of objects within a given area. …”
Get full text

A Resilient Deep Learning Approach for State Estimation in Distribution Grids With Distributed Generation by Ronald Kfouri, Harag Margossian

“…We then subject the neural network to multiple test scenarios featuring noisier measurements and bad data to evaluate the robustness of our algorithm. We test our approach on three networks. …”
Get full text

Fast segmentation of stained nuclei in terabyte-scale, time resolved 3D microscopy image stacks. by Johannes Stegmaier, Jens C Otte, Andrei Kobitski, Andreas Bartschat, Ariel Garcia, G Ulrich Nienhaus, Uwe Strähle, Ralf Mikut

“…We evaluate the quality of the obtained segmentation results on a set of real and simulated benchmark images in 2D and 3D and show the algorithm's superior performance compared to other state-of-the-art algorithms. …”
Get full text

Adaptive data‐transition decision feedback equaliser with edge emphasis by Yue Li, Fei Yuan

“…DFE is performed when DT is detected using a loop‐unrolling algorithm. EE‐taps provide enhanced equalisation at the edges of data eyes, where the impact of channel impairment is most severe, and adequate equalisation between the edges and centre of data eyes to achieve both minimum jitter and maximum vertical eye‐opening of equalised data. …”
Get full text

A Statistical Approach in Designing an RF-Based Human Crowd Density Estimation System by S. Y. Fadhlullah, Widad Ismail

“…The significant factors were later trained into the H-CDE algorithm for the purpose of estimating the human crowd density in a defined sector. …”
Get full text

Performance Comparison of Data Reduction Techniques for Wireless Multimedia Sensor Network Applications by Pinar Sarisaray-Boluk, Kemal Akkaya

“…The experiment results indicated that the most energy-efficient BS algorithm could also provide the best quality in terms of the foreground detected. …”
Get full text

Probabilistic prediction of fatigue damage based on linear fracture mechanics by M. Krejsa, L. Koubova, J. Flodr, J. Protivinsky, Q. T. Nguyen

“…Three sizes are important for the characteristics of the propagation of fatigue cracks - the initial size, detectable size and acceptable size. The theoretical model of fatigue crack progression in paper is based on a linear fracture mechanics. …”
Get full text

Integration of Artificial Neural Network in a IEEE 5 BUS System by T. L. Makosso, A. Almaktoof, K. Abo-Al-Ez

“…In the context of Artificial Neural Networks (ANNs), the Levenberg-Marquardt (LM) algorithm is an extensively utilized optimization method. …”
Get full text

Verification for Different Contrail Parameterizations Based on Integrated Satellite Observation and ECMWF Reanalysis Data by Jinglin Zhang, Jian Shang, Guoyu Zhang

“…In this paper, we propose one novel automatic contrail detecting method based on Himawari-8 stationary satellite imagery and two kinds of potential contrail coverage (PCC1 and PCC2) from contrail parameterization in ECHAM4 and HadGEM2. …”
Get full text

A Method for Searching for Defective Solar Panels in Telemetry Data of a Power Plant Based on the Results of a Digital Twin by K. S. Dzik

“…The research is aimed at developing and evaluating the effectiveness of a new methodology and software algorithm for searching for anomalies in the operation of solar panels based on the results of a digital twin created and trained using telemetry data from a solar power plant. …”
Get full text

RCTP: An Enhanced Routing Protocol Based on Collection Tree Protocol by Fariborz Entezami, Martin Tunicliffe, Christos Politis

“…CTP as a cross layer routing protocol is also a platform-independent protocol. It uses Trickle Algorithm to optimize the overhead cost and also makes it quickly adaptable to changes in topology. …”
Get full text

2D DOA Estimation of Wideband and FH Signals Using Improved K-means Clustering and Implementation Considerations by Zahra Memarian, Mahdi Majidi

“…To enhance the speed and accuracy of 2D DOA estimation for narrowband, wideband (WB), and frequency hopping (FH) signals, this study introduces a method that integrates power spectrum density (PSD) and spectrogram analysis of the receiver’s instantaneous bandwidth with an optimized filter bank, to precisely detect active frequencies and their intervals. Additionally, a fast, modified K-means clustering algorithm is developed to refine DOA estimation for FH and WB signals across multiple active subchannels. …”
Get full text

Study on multi-satellite cooperative spectrum cognitive method integrating Stackelberg game and federated learning by Xiaojin DING, Yehui XU, Wen BAO, Gengxin ZHANG

“…To solve the problem of the weak spectrum-cognitive ability caused by monitoring angle, direction resolution, limited processing ability and peak power for a low-earth-orbit (LEO) satellite, a multi-satellite cooperative spectrum cognitive method integrating Stackelberg game and federated learning was proposed.Firstly, considering the available computing resource, cognitive performance, processing and transmission delay of each spectrum cognitive satellite, a cooperative-satellite selection and computing-resource allocation algorithm was built for multiple spectrum-cognitive tasks.Secondly, based on the selected satellites and the allocated computing resources, a low-complexity multi-satellite cooperative spectrum cognitive strategy was further designed, which could automatically sense the spectrum holes, and detect interference as well as identify the modulation mode.Simulation results demonstrate that compared to the single-node cognitive method, the designed multi-satellite cooperative spectrum cognitive strategy can obtain a better cognitive performance.Moreover, comparing with the existing model, the model utilized in the designed strategy can effectively achieve 96.69% and 93.32% lower number of parameters and required floating point operations per second, whilst maintaining the performance.…”
Get full text