Adversarial Range Gate Pull-Off Jamming Against Tracking Radar by Yuanhang Wang, Yi Han, Yi Jiang

“…The PSO-ER algorithm searches for optimal jamming strategies while utilizing a localized simulation of the tracking radar to evaluate the effectiveness of candidate jamming strategies. …”
Get full text

Maximizing information in neuron populations for neuromorphic spike encoding by Ahmad El Ferdaoussi, Eric Plourde, Jean Rouat

“…The proposed algorithm is inspired by the information-theoretic framework of Partial Information Decomposition. …”
Get full text

Pricing Method for Season of Use in Integrated Energy Park by DU Jiangwu, TANG Xiaoqiang, LUO Zhiwei, LIU Dunnan, CHEN Jixu, XU Erfeng, BI Sheng

Get full text

Method for Increasing the Energy Efficiency of the Gear Teeth Cutting Process by Smoothing the Cutting Force Variation by Gabriel Radu Frumusanu, Mihail Bordeanu, Florin Susac

“…This can be reached by replacing the constant rolling feed, currently used in gear teeth cutting, with a rolling feed that varies after an appropriate law. An algorithm dedicated to implementing this solution has been developed. …”
Get full text

Quantitative Comparison of Geographical Color of Traditional Village Architectural Heritage Based on K-Means Color Clustering—A Case Study of Southeastern Hubei Province, China by Li Dong, Meiqi Kang

“…In this study, the architectural heritage of four traditional villages of the Ming and Qing dynasties in the southeastern region of Hubei Province is taken as the research object, the K-means clustering algorithm is used to quantify the color data of the architectural heritage, and the HSV color space is used to analyze the distribution characteristics of the color data and to excavate the uniqueness of its colors and the regional characteristics. …”
Get full text

A semi-supervised deep neuro-fuzzy iterative learning system for automatic segmentation of hippocampus brain MRI by M Nisha, T Kannan, K Sivasankari

“…Unlike the existing approaches such as UNet and Convolutional Neural Networks (CNN), the proposed algorithm generates an image that is similar to a real image by learning the distribution much more quickly by the semi-supervised iterative learning algorithm of the Deep Neuro-Fuzzy (DNF) technique. …”
Get full text

Preventing postoperative pulmonary complications by establishing a machine-learning assisted approach (PEPPERMINT): Study protocol for the creation of a risk prediction model. by Britta Trautwein, Meinrad Beer, Manfred Blobner, Bettina Jungwirth, Simone Maria Kagerbauer, Michael Götz

“…Therefore, the planned research project aims to create a prediction model that enables the reliable identification of high-risk patients immediately after surgery based on a tailored machine learning algorithm.…”
Get full text

Tencent Meeting forensics based on memory reverse analysis by Shilong Yu, Binglong Li, Lin Zhu, Heyu Zhang, Sen Yang, Zhangxiao Li, Wenzheng Feng

“…First, by analyzing the process storage and metadata format of Tencent Meeting in memory, an inverse metadata extraction algorithm is designed. Then, by analyzing the data structure of Tencent Meeting in memory, a meeting data stream engraving algorithm is developed. …”
Get full text

A Machine Learning-Based Computational Methodology for Predicting Acute Respiratory Infections Using Social Media Data by Jose Manuel Ramos-Varela, Juan C. Cuevas-Tello, Daniel E. Noyola

Get full text

A new sliding mode control strategy to improve active power management in a laboratory scale microgrid by Oscar Gonzales-Zurita, Jean-Michel Clairand, Guillermo Escrivá-Escrivá

“…This study proposes a robust control solution based on the second-order sliding mode control (SMC-2) algorithm to overcome the mentioned challenges. This algorithm employed a non-conventional sliding surface to improve the microgrid’s capacities for energy management. …”
Get full text

Machine Learning-Based Computer Vision for Depth Camera-Based Physiotherapy Movement Assessment: A Systematic Review by Yafeng Zhou, Fadilla ’Atyka Nor Rashid, Marizuana Mat Daud, Mohammad Kamrul Hasan, Wangmei Chen

“…Key challenges included limited real-world validation, insufficient dataset diversity, and algorithm generalization issues, while machine learning-based computer vision systems demonstrated effectiveness in movement assessment tasks, further research is needed to address validation in clinical settings and improve algorithm generalization. …”
Get full text

On Combining Different Acceleration Techniques at the Iterative Solution of PDEs by the Method of Collocations and Least Residuals by Vasily P. Shapeev, Evgenii V. Vorozhtsov

Get full text

Observation optimization for marine target tracking by airborne and maritime unmanned platforms cooperation using adaptive enhanced dung beetle optimization by Qiuyang Dai, Faxing Lu, Haoran Shi, Junfei Xu, Jianjing Qu

“…To address these limitations, this paper proposes a heterogeneous unmanned platform cooperative observation optimization method based on Adaptive Enhanced Dung Beetle Optimization (AEDBO) algorithm. First, we derive optimal observation configurations for the aerial unmanned platform, maritime cooperative unmanned platform, and targets under azimuth systematic error impacts using an attitude correction algorithm. …”
Get full text

The interpretable machine learning model for depression associated with heavy metals via EMR mining method by Site Xu, Mu Sun

“…Abstract Limited research exists on the association between depression and heavy metal exposure. …”
Get full text

Multi‐objective multi‐period optimal site and size of distributed generation along with network reconfiguration by Ghulam Abbas, Zhi Wu, Aamir Ali

“…Abstract While extensive research has focused on enhancing distribution networks through either maximizing Distributed Generation (DG) integration or network reconfiguration at specific times, there is a need for further investigation into concurrently optimal network reconfiguration and DG allocation. …”
Get full text

Fiber Visualization with LIC Maps Using Multidirectional Anisotropic Glyph Samples by Mark Höller, Kay-M. Otto, Uwe Klose, Samuel Groeschel, Hans-H. Ehricke

Get full text

SDN Elastic Optical Network-based Intelligent Service Orchestration for Power Communication Network by KANG Zhongmiao, WU Zanhong, ZHANG Peiming, HUANG Donghai, BAO Yuben, LU Wenbing, ZHANG Sunxuan

“…Finally, the performance advantages of the proposed algorithm in terms of energy efficiency and delay are verified by numerical analysis. …”
Get full text

Comparative efficacy evaluation for various anticonvulsant drugs to restraint epileptiform states in rats by R. G. Paronikyan, R. Sh. Sargsyan, J. S. Sarkissyan, G. G. Avakyan, V. M. Avakyan, V. R. Sargsyan, A. V. Margaryan

Get full text

Automated interpretation of influenza hemagglutination inhibition (HAI) assays: Is plate tilting necessary? by Garrett Wilson, Zhiping Ye, Hang Xie, Steven Vahl, Erica Dawson, Kathy Rowlen

“…For example, tilting HAI plates at 45-60 degrees to look for a "tear drop pattern" with avian red blood cells is a common practice by many, but not all, research laboratories. In this work, we tested the hypothesis that an automated image analysis algorithm can be used to achieve an accurate and non-subjective interpretation of HAI assays-specifically without the need to tilt plates. …”
Get full text

EXPLORING A NOVEL HEXACO PERSONALITY TRAITS ON TWITTER: AN ENSEMBLE-BASED NLP METHODOLOGY by Tanvi Desai, Divyakant Meva

“…Feature selection employs the Hybrid Kepler Inspired Secretary Bird (HKISP) algorithm, a combination of the Kepler Optimization Algorithm (KOA) and Secretary Bird Optimization (SBO). …”
Get full text