Electroanalysis Advances in Pharmaceutical Sciences: Applications and Challenges Ahead by Ram Kumar, Sushant Salwan, Pawan Kumar, Nisha Bansal, Bhupinder Kumar

“…Key electroanalytical methods, including voltammetry, potentiometry, and amperometry, are detailed along with their practical applications, such as detecting active pharmaceutical ingredients, monitoring drug metabolites, and ensuring product stability. …”
Get full text

Application of Supervised Learning Methods and Information Gain Methods in the Determination of Asbestos–Cement Roofs’ Deterioration State by Manuel Saba, David Valdelamar Martínez, Leydy K. Torres Gil, Gabriel E. Chanchí Golondrino, Manuel A. Ospina Alarcón

Get full text

Research on temperature and humidity compensation method of vehicle gas sensor based on SCA-PSO support vector regression by Lv Yingming, Yuan Wenping

“…In this paper, a vehicle-mounted vehicle exhaust gas detection device is designed and a sensor temperature and humidity compensation method based on Support Vector Regression (SVR), Sine Cosine Algorithm(SCA) and Particle Swarm Optimization (PSO) is proposed. …”
Get full text

Optimizing cervical cancer classification using transfer learning with deep gaussian processes and support vector machines by Emmanuel Ahishakiye, Fredrick Kanobe

“…However, most of the MLs have overfitting limitations which limits their deployment, especially in the health sector where accurate predictions are needed. Methods In this study, we propose two kernel-based algorithms for automated detection of cervical cancer. …”
Get full text

Optimization of Parameters and Comparison of Detection Signals for Planar Coil Particle Detection Sensors with Different Core Materials by Changzhi Gu, Chao Liu, Bo Liu, Wenbo Zhang, Chenzhao Bai, Chenyong Wang, Yuqing Sun, Hongpeng Zhang

“…We obtain the sensor structure after optimizing the magnetic field. The sensor is made using experimental methods, and the iron particles and copper particles are detected. …”
Get full text

Improving Soil Heavy Metal Lead Inversion Through Combined Band Selection Methods: A Case Study in Gejiu City, China by Ping He, Xianfeng Cheng, Xingping Wen, Yi Cao, Yu Chen

Get full text

ABNORMAL UTERINE BLEEDING (AUB) – MODERN POSSIBILITIES OF OPTIMIZATION OF TACTICS OF TREATMENT by Yu. Yu. Tabakman, A. G. Solopova, A. Kh. Bishtavi, S. O. Smirnova, A. A. Kocharian

Get full text

OPTIMAL CUT-OFF POINTS OF INSTANTANEOUS WAVE-FREE RATIO IN THE ASSESSMENT OF THE FUNCTIONAL SIGNIFICANCE OF CORONARY ARTERY STENOSES USING NONINVASIVE METHODS AS REFERENCE by D. I. Darenskiy, V. V. Gramovich, E. A. Zharova, M. G. Mitroshkin, R. V. Atanesyan, G. N. Bakashvili, Y. G. Matchin

“…ABSTRACT Objective: the aim of our study was to determine the optimal instantaneous wave-free ratio (iFR) cut-off points in assessing the functional significance of intermediate coronary artery stenoses in patients with chronic coronary artery diseases (CAD) using non-invasive methods of myocardial ischemia verification as reference. …”
Get full text

Evaluation of The Utilization of The iPosyandu Application in Enhancing Midwives’ Competence in Early Pregnancy Detection Services: Mixed Methods Study by Susanti AI, Nuraini A, Rinawan FR, Adnani QES, Wirakusumah FF

“…Consequently, mobile health (mHealth) solutions, such as the iPosyandu application, are essential to assist midwive’s in delivering maternal and child health services and enhancing their competence for early detection in pregnant women.Purpose: This study seeks to examine the evaluation of the iPosyandu application on midwive’s proficiency in early pregnancy identification.Patients and Methods: The research employed a convergent mixed-method approach, incorporating quantitative analysis involving 120 village midwives in Purwakarta Regency, divided into intervention (n = 60) and control (n = 60) groups. …”
Get full text

Adaptive zero velocity correction method for fiber optic inertial navigation system in coal mining roadheader by Qinghua MAO, Qing ZHOU, Jianquan CHAI, Yanzhang CHEN, Wenjuan YANG, Xusheng XUE

“…Therefore, an adaptive zero-speed correction method for fiber-optic inertial navigation of coal mine roadheader based on zero-speed detection and extended Kalman filter is proposed.Aiming at the problem of inaccurate zero-speed detection of traditional threshold method for roadheader fiber-optic inertial navigation, a zero-speed detection method based on PCA−SCSO−SVM ( Principal Component Analysis PCA, Sand Cat Swarm Optimization SCSO, Support Vector Machine SVM ) is proposed. …”
Get full text

Performance analysis of shear horizontal one port surface acoustic wave (SAW) resonator for optimal liquid sensing based on finite element method by Yih Bing Chu

“…This paper presents the numerical study using finite element method for optimal liquid sensing performance of one port surface acoustic wave (SAW) resonator. …”
Get full text

Concrete crack detection using ridgelet neural network optimized by advanced human evolutionary optimization by Yongqing Lin, Mehdi Ahmadi, Khalid A. Alnowibet, Fawzy A. Bukhari

“…The AHEO as a new method combines human intelligence and evolutionary principles to optimize the RNN model. …”
Get full text

Comparative analysis of deep learning and traditional methods for IoT botnet detection using a multi-model framework across diverse datasets by Saeed Ullah, Junsheng Wu, Zhijun Lin, Mian Muhammad Kamal, Hala Mostafa, Muhammad Sheraz, Teong Chee Chuah

“…Our approach introduces a Quantile Uniform transformation to reduce feature skewness, a multi-layered feature selection method to enhance discriminative power, an individual performance of deep learning–traditional machine learning and a hybrid models (ensemble models) for robust detection. …”
Get full text

Comparative evaluation of antifungal susceptibility testing methods of invasive Candida species and detection of FKS genes mutations in caspofungin intermediate and resistant isola... by Dalia Saad ElFeky, Doaa Mahdy El-Wakil, Mai M. Mwafy, Mohamed M.A. Atia, Noha Mahmoud Gohar

“…Antifungal susceptibility testing (AFST) is necessary to optimize the therapy. The study aimed to compare different AFST methods of Candida spp. and detect FKS gene mutations among caspofungin-intermediate and resistant isolates. …”
Get full text

Research on Predictive Analysis Method of Building Energy Consumption Based on TCN-BiGru-Attention by Sijia Fu, Rui Zhu, Feiyang Yu

“…Although there are currently a large number of energy consumption research methods, each method has different applicability and advantages and disadvantages. …”
Get full text

Optimizing concrete crack detection an echo state network approach with improved fish migration optimization by Zhichun Fang, Xiuhong Wang, Jiaojiao Gao, Behrooz Eskandarpour

“…This paper proposes an enhanced version of the fish migration optimization (IFMO) method combined with an optimized echo state network (ESN) model for concrete fracture detection using the combination form is established for improving the detection accuracy of the model by optimal arrangement of the ESN. …”
Get full text

A 3-D Defect Profile Inversion Method Based on the Continuity Correction Strategy by Chenlin Wang, Jianhua Tang, Yicheng Duan, Senxiang Lu, Hao Wen

“…Inversion is a key step in MFL detection, and iterative inversion based on an optimization algorithm is an effective method for constructing the 3-D profile of defects in pipelines. …”
Get full text

Series Arc Fault Detection Based on Improved Artificial Hummingbird Algorithm Optimizer Optimized XGBoost by Lichun Qi, Takahiro Kawaguchi, Seiji Hashimoto

“…The hyperparameters of XGBoost are simultaneously optimized by AHA. Experimental results show that the proposed method achieves a fault arc detection accuracy rate of 98.098%, effectively identifying series arc faults.…”
Get full text

A novel damage detection method based on sequential iteration and Gaussian mixture model for structural health monitoring under environmental effects by Jie-zhong Huang, Jian Yang, Dong-sheng Li, Wei-chen Kong, Ya-fei Wang

“…Abstract Environmental effects often cause variability in dynamic features, obscuring actual damage indicators and leading to false alarms in damage detection. The Gaussian mixture model (GMM) based method is an effective solution, but challenges such as selecting initial model parameters and determining the optimal number of Gaussian components can hinder its performance. …”
Get full text

A method for calculating the coverage area of radar network based on Monte Carlo method and its simulation by WANG Yinlong, WANG Dan, MA Juntao, ZHAO Deyong

“…Since the probability of detecting a target by the radar network is the result of the joint action of various radars, the graph of its coverage area is very complex and difficult to obtain an analytical solution by conventional methods. …”
Get full text