Diagnosis of Malignant Endometrial Lesions from Ultrasound Radiomics Features and Clinical Variables Using Machine Learning Methods by Shanshan Li, Jiali Wang, Li Zhou, Hui Wang, Xiangyu Wang, Jian Hu, Qingxiu Ai

“…And Random Forest model algorithms have demonstrated excellent performance in identifying benign and malignant changes in endometrial tissue. …”
Get full text

Ultrasonic and Microwave-assisted Solid-Liquid Extraction of Ginkgo biloba Phenolics: Study about Mass Transfer and PID Control by Chi XU, Hebin XU, Rui ZHU, Jing LI, Dandan LI, Yongbin HAN, Yi ZHENG, Yang TAO

“…Furthermore, fuzzy-PID controllers optimized by genetic algorithms or particle swarm optimization (PSO) algorithms outperformed traditional PID controller and individual fuzzy-PID controller to control the extraction process, achieving faster convergence with minimal overshoot. …”
Get full text

Novel approach for noninvasive pelvic floor muscle strength measurement using extracorporeal surface perineal pressure measurement and machine learning modeling by Ui-jae Hwang, Sun-hee Ahn, Hyeon-ju Lee, Yurin Jeon, Myung Jae Jeon

“…Seven ESPP variables were calculated based on ESPP data and intra- and inter-rater reliabilities were assessed. Machine learning algorithms predicted bladder base displacement from ESPP variables. …”
Get full text

A deep learning-based method for the intelligent identification of the quantity of coals flushed out during borehole hydraulic flushing by Xiaojun LI, Mingyang ZHAO, Miao LI

“…ObjectiveGiven the inaccurate and low-efficiency manual statistics of the quantity of coals flushed out during borehole hydraulic flushing, this study proposed an intelligent identification method that combines YOLOv8n, ResNet34, and PP-OCRv4 algorithms. MethodsFirst, the first-level detection was completed using the YOLOv8n algorithm, which, combined with the ResNet34 and PP-OCRv4 algorithms via parallel cascade, was then employed to conduct second-level processing. …”
Get full text

Establishing a preoperative predictive model for gallbladder adenoma and cholesterol polyps based on machine learning: a multicentre retrospective study by Yubing Wang, Chao Qu, Jiange Zeng, Yumin Jiang, Ruitao Sun, Changlei Li, Jian Li, Chengzhi Xing, Bin Tan, Kui Liu, Qing Liu, Dianpeng Zhao, Jingyu Cao, Weiyu Hu

“…Using 12 machine learning algorithms, 110 combination predictive models were constructed. …”
Get full text

Temperature Is a Key Factor Affecting Total Phosphorus and Total Nitrogen Concentrations in Northeastern Lakes Based on Sentinel-2 Images and Machine Learning Methods by Haoming Qin, Chong Fang, Ge Liu, Kaishan Song, Zhuoshi Li, Sijia Li, Hui Tao, Zhaojiang Yan

“…Results indicate that random forest (RF) and XGBoost regression algorithms perform better. The performance of the GBDT algorithm was slightly lower than that of the RF and XGBoost regression algorithms, the BP algorithm had overfitting, and the SVR algorithm had poor fitting performance. …”
Get full text

Improving Intensity-Based Lung CT Registration Accuracy Utilizing Vascular Information by Kunlin Cao, Kai Ding, Joseph M. Reinhardt, Gary E. Christensen

“…The performance of four intensity-only registration algorithms was compared with and without adding the vesselness similarity cost function. …”
Get full text

Feasibility Study on the Use of a Portable NIR Spectrometer and Multivariate Data Analysis to Discriminate and Quantify Adulteration in Fertilizer by Ernest Teye, Charles L. Y. Amuah, Kofi Atiah, Ransford Opoku Darko, Kwadwo Kusi Amoah, Emmanuel Afutu, Rebecca Owusu

“…The overall results indicated that a handheld NIR spectrometer together with appropriate algorithms could be employed for fast and on-site determination of fertilizer integrity.…”
Get full text

Diagnosis experience of traction engines of locomotives by Ngoulou-A-Ndzeli, V. Yu. Tetter, V. G. Shakhov

“…The method and corresponding algorithms are uses for programming controllers of vibrodiagnostic systems.…”
Get full text

An estimated Hungarian method for data forwarding problem in underwater wireless sensor networks by Jing Wen, Dongwei Li, Linfeng Liu, Jiabin Yuan

“…However, the existing data forwarding algorithms all have problems that transmission delay is too high and delivery ratio is low. …”
Get full text

Robust Visual Tracking with Discrimination Dictionary Learning by Yuanyun Wang, Chengzhi Deng, Jun Wang, Wei Tian, Shengqian Wang

“…Comprehensive experiments demonstrate the superiority of the proposed tracking algorithm to some state-of-the-art tracking algorithms.…”
Get full text

Improved YOLOv8n based helmet wearing inspection method by Xinying Chen, Zhisheng Jiao, Yuefan Liu

“…Experimental results on the expanded SHWD dataset demonstrate a 46.63% reduction in model volume, a 44.19% decrease in parameter count, a 54.88% reduction in computational load, and an improvement in mean Average Precision (mAP) to 93.8% compared to the original YOLOv8 algorithm. In comparison to other algorithms, the model proposed in this paper markedly reduces model size, parameter count, and computational load while ensuring superior detection accuracy.…”
Get full text

An Approach to Integrating Tactical Decision-Making in Industrial Maintenance Balance Scorecards Using Principal Components Analysis and Machine Learning by Néstor Rodríguez-Padial, Marta Marín, Rosario Domingo

“…In the proposed Custom Balance Scorecard design, an exploratory data phase is integrated with another analysis and prediction phase using Principal Component Analysis algorithms and Machine Learning that uses Artificial Neural Network algorithms. …”
Get full text

Design of a Multi-Layer Symmetric Encryption System Using Reversible Cellular Automata by George Cosmin Stănică, Petre Anghelescu

“…The increasing demand for secure and efficient encryption algorithms has intensified the exploration of alternative cryptographic solutions, including biologically inspired systems like cellular automata. …”
Get full text

Image Dehazing Based on Improved Color Channel Transfer and Multiexposure Fusion by Shaojin Ma, Weiguo Pan, Hongzhe Liu, Songyin Dai, Bingxin Xu, Cheng Xu, Xuewei Li, Huaiguang Guan

“…In recent years, more and more algorithms have been applied to image dehazing and achieved good results. …”
Get full text

A Prediction Model Optimization Critiques through Centroid Clustering by Reducing the Sample Size, Integrating Statistical and Machine Learning Techniques for Wheat Productivity by Muhammad Islam, Farrukh Shehzad

“…Machine learning algorithms are rapidly deploying and have made manifold breakthroughs in various fields. …”
Get full text

Three-Dimensional Near-Field Microwave Holography for Tissue Imaging by Reza K. Amineh, Ali Khalatpour, Haohan Xu, Yona Baskharoun, Natalia K. Nikolova

“…Then, novel holographic imaging algorithms are implemented to provide three-dimensional images of the inspected domain. …”
Get full text

Privacy Auditing in Differential Private Machine Learning: The Current Trends by Ivars Namatevs, Kaspars Sudars, Arturs Nikulins, Kaspars Ozols

“…While the definition of differential privacy makes it possible to provably limit the amount of information leaked by an algorithm, practical implementations of differentially private algorithms often contain subtle vulnerabilities. …”
Get full text

Path–Based Continuous Spatial Keyword Queries by Fangshu Chen, Pengfei Zhang, Chengcheng Yu, Huaizhong Lin, Shan Tang, Xiaoming Hu

“…Extensive experiments on both real and synthetic data sets are conducted to evaluate the performance of our proposed algorithms, and the results show that our algorithms outperform competitors by several orders of magnitude.…”
Get full text

Recognition of biosignals with nonlinear properties by approximate entropy parameters by L.A. Manilo, A.P. Nemirko

“…Its parameters can be used to detect dynamic irregularities associated with nonlinear properties of signals. The algorithm for calculating this characteristic is consid-ered in detail. …”
Get full text