Tackling the Optimal Phasor Measurement Unit Placement and Attack Detection Problems in Smart Grids by Incorporating Machine Learning by Ramzi Al-Sharawi, Abdelfatah Ali, Mostafa Shaaban, Nasser Qaddoumi, Mohamed S. Abdalzaher

“…The proposed approach optimizes PMU allocation to maximize topological observability and minimize system cost while improving the FDIA detection performance using machine learning. …”
Get full text

Using Life’s Essential 8 and heavy metal exposure to determine infertility risk in American women: a machine learning prediction model based on the SHAP method by Xiaoqing Gu, Qianbing Li, Xiangfei Wang

“…Among them, BMI and LE8 have a negative predictive effect on female infertility in the model, while Cd has a positive contribution to the prediction of female infertility. …”
Get full text

Adaptive optimization decision system for plate-fin heat Exchangers: An integrated approach to enhancing efficiency and performance by Na Sun, Shuai Zhang, Nan Li, Zijian Li, Meng He, Zhengchun Shen, Ke Wang, Xiaoyong Guo, Wen-Quan Tao

“…MIGWO outperformed previous studies in accuracy and efficiency, while NRBO achieved nearly equivalent results. Total Annual Cost was reduced by 86.36 % (NRBO) and 86.86 % (MIGWO), and heat exchanger area by 25.58 % (NRBO) and 26.28 % (MIGWO). …”
Get full text

Enhancing Heart Disease Diagnosis Using ECG Signal Reconstruction and Deep Transfer Learning Classification with Optional SVM Integration by Mostafa Ahmad, Ali Ahmed, Hasan Hashim, Mohammed Farsi, Nader Mahmoud

“…The proposed ECG segmentation algorithm introduces a distinct and original approach compared to prior research by integrating adaptive preprocessing, histogram-based lead separation, and robust point-tracking techniques into a unified framework. …”
Get full text

Aggregation and the economy prototyping of municipality in the conditions of lability and robust changes by O. O. Komarevtseva

“…As part of the stated goal, the author is  supposed to conduct the economy prototyping of the municipality  based on built-in management platforms; to form an adapted risk  assessment model in the implementation of smart-project; to  propose an aggregated model for assessing the development of the economy.Materials and methods. While writing a scientific article, the methods of situational and simulation modeling, approximation and grouping of specific elements of the structural  object, and the process of algorithmization of functional processes  are used. …”
Get full text

Deep learning based automation of mean linear intercept quantification in COPD research by Lars Leyendecker, Anna Louisa Weltin, Florian Nienhaus, Michaela Matthey, Bastian Nießing, Daniela Wenzel, Daniela Wenzel, Robert H. Schmitt, Robert H. Schmitt

“…We develop and evaluate our image processing pipeline on stained histological microscope images that stem from a study including two groups of C57BL/6 mice where one group was exposed to cigarette smoke while the control group was not. The results indicate that the AIxCell segmentation algorithm achieves excellent performance, with IoU scores consistently exceeding 90%. …”
Get full text

Interpretable machine learning approaches to assess the compressive strength of metakaolin blended sustainable cement mortar by Naseer Muhammad Khan, Liqiang Ma, Waleed Bin Inqiad, Muhammad Saud Khan, Imtiaz Iqbal, Muhammad Zaka Emad, Saad S. Alarifi

“…The developed models were validated by means of error metrics, residual assessment, and external validation checks which revealed that XGB is the most accurate algorithm having testing $$\:{\text{R}}^{2}$$ of 0.998 followed by BR having $$\:{\text{R}}^{2}$$ values equal to 0.946 while MEP had the lowest testing $$\:{\text{R}}^{2}$$ of 0.893. …”
Get full text

Constrained Cross Entropy Localization Technique for Wireless Sensor Networks by Mohammad Abdul Azim, Zeyar Aung, Weidong Xiao, Vinod Khadkikar

“…Beyond CE, the whole class of localization techniques utilizing the same cost function suffers from the same phenomenon. …”
Get full text

Computational Intelligence in Sports: A Systematic Literature Review by Robson P. Bonidia, Luiz A. L. Rodrigues, Anderson P. Avila-Santos, Danilo S. Sanches, Jacques D. Brancher

“…Data mining techniques have attracted the attention of the information industry and society as a whole, due to a large amount of data and the imminent need to turn it into useful knowledge. …”
Get full text

The abundance and sett ecological characteristics of the Asian badger (Meles leucurus) in the Northeast Tiger and Leopard National Park (NE China) by Jiawei Li, Dongrui Li, Yanwen Fu, Yiwen Ma, Jianping Ge, Limin Feng

“…Statistical tests, random forest algorithm, and generalized linear model were used to explain the sett selection criteria of Asian badgers. …”
Get full text

Classification of finger movements through optimal EEG channel and feature selection by Murside Degirmenci, Yilmaz Kemal Yuce, Matjaž Perc, Matjaž Perc, Matjaž Perc, Matjaž Perc, Matjaž Perc, Yalcin Isler

“…Moreover, recent studies have focused on improving prediction performance using complex feature extraction and machine learning algorithms while ignoring comprehensive EEG channels and feature investigation in the prediction of finger movements from EEGs. …”
Get full text

Online Non-Intrusive Efficiency Monitoring of Pumping Systems by Mohammad Javad Karimi, Ali Sadighi

“…This paper presents a non-intrusive approach towards estimating the efficiency of the whole motor pump chain. The motor efficiency is calculated using only motor electrical signals along with the nameplate information. …”
Get full text

QoS Routing in Telecommunications Networks by N. I. Listopad, O. A. Lavshuk

“…The existing routing algorithms have been developed quite fully and, on the whole, function effectively if the optimization of the route selection is carried out according to one parameter. …”
Get full text

Steganoanalytical Method Based on the Analysis of Singular Values of Digital Image Matrix Blocks by Kobozeva A.A., Bobok I.I., Batiene L.Е.

“…The rapid development of digital steganography over the past decade involving numerous scien-tific publications in the open press, devoted to the new steganomethods and algorithms, have led to the possibility of wide use of the results obtained. …”
Get full text

Plastic Litter Detection in the Environment Using Hyperspectral Aerial Remote Sensing and Machine Learning by Marco Balsi, Monica Moroni, Soufyane Bouchelaghem

“…Data were preprocessed to simply equalize the spectra across the whole band and across different environmental conditions, and machine learning techniques were applied to detect plastics even in real-time. …”
Get full text

Detecting Textual Propaganda Using Machine Learning Techniques by Akib Mohi Ud Din Khanday, Qamar Rayees Khan, Syed Tanzeel Rabani

“…Social Networking has dominated the whole world by providing a platform of information dissemination. …”
Get full text

Robust Model-Free Identification of the Causal Networks Underlying Complex Nonlinear Systems by Guanxue Yang, Shimin Lei, Guanxiao Yang

“…Due to the complexity of system modeling, the way in which universal and feasible inference algorithms are studied is a key challenge for network reconstruction. …”
Get full text

NEXT-GENERATION SEQUENCING IN CANCER: GENETIC DIAGNOSIS, RISK PREDICTION AND CLASSIFICATION by Özkan Özdemir

“…Today, the use of whole-genome sequencing is increasing; open-source databases are developing. …”
Get full text

The cost of solving linear differential equations on a quantum computer: fast-forwarding to explicit resource counts by David Jennings, Matteo Lostaglio, Robert B. Lowrie, Sam Pallister, Andrew T. Sornborger

“…There is increasing effort in developing quantum algorithms to efficiently simulate dynamics beyond Hamiltonian simulation, but so far exact resource estimates are not known. …”
Get full text

DIGITAL TWINS AND THEIR APPLIANCE IN TRANSPORT ECONOMICS by O. N. Rimskaya, I. V. Anokhov

“…The consequence of this is the emergence of digital twins that allow modeling and predicting the behavior of both individual processes and enterprises as a whole.The aim of the article is to investigate the process of digitalization in the transport industry. …”
Get full text