Automating the amino acid identification in elliptical dichroism spectrometer with Machine Learning. by Ridhanya Sree Balamurugan, Yusuf Asad, Tommy Gao, Dharmakeerthi Nawarathna, Umamaheswara Rao Tida, Dali Sun

“…Advanced data preprocessing techniques and ML algorithms to learn patterns from the absorption profiles that distinguish different amino acids were investigated to prove the feasibility of this approach. …”
Get full text

Light Manipulation by Single Cells: The Case of Diatoms by Edoardo De Tommasi

“…The present paper reviews the most relevant studies on optical and photonic properties of diatoms that have been performed throughout the last years making use of SEM characterizations, transmittance measurements at different wavelengths, holographic microscopy, Raman spectroscopy and imaging, photoluminescence spectroscopy, and the predictive support of different numerical simulation algorithms.…”
Get full text

D-Optimal Design for a Causal Structure for Completely Randomized and Random Blocked Experiments by Zaher Kmail, Kent Eskridge

“…In this research, search algorithms are used to produce a D-optimal design for a SEM for three-stage least squares and full information maximum likelihood estimators. …”
Get full text

TOPOLOGY OF ENTREPRENEURIAL UNIVERSITY: DYNAMIC DESCRIPTIVE MODEL by R. A. Zayakina

“…Certain procedures of real network design are used to build the algorithms of operations with descriptors characterizing the transformations which take place both inside the universities being an innovative ecosystem and systems with their participation. …”
Get full text

A machine learning approach for predicting treatment response of hyponatremia by Tamaki Kinoshita, Shintaro Oyama, Daisuke Hagiwara, Yoshinori Azuma, Hiroshi Arima

“…The predicted s-Na levels, using explainable machine learning algorithms and clinically accessible parameters, correlated well with the actual levels. …”
Get full text

FedDrip: Federated Learning With Diffusion-Generated Synthetic Image by Karin Huangsuwan, Timothy Liu, Simon See, Aik Beng Ng, Peerapon Vateekul

“…Moreover, we demonstrate that this virtual-client strategy can be integrated into any federated learning framework, including foundational algorithms such as FedAvg and advanced algorithms such as FedDyn and FedProx. …”
Get full text

Multi-criteria decision-making method for emergency shelter site selection considering flood risk: A case study of Zhuhai, China by Bo Liu, Yingbing Li, Yan Zhang, Zhichao Wu, Yansong Pan, Meiquan Li

“…However, the existing site selection schemes are not comprehensive enough in the selection of influencing factors and the design of decision-making algorithms, making it difficult to cope with complex flood relief scenarios. …”
Get full text

Prediction of Groundwater Level Based on the Integration of Electromagnetic Induction, Satellite Data, and Artificial Intelligent by Fei Wang, Lili Han, Lulu Liu, Yang Wei, Xian Guo

“…Remote sensing data combined with machine learning algorithms have become one of the important tools for groundwater level modeling. …”
Get full text

Assessing the readability, quality and reliability of responses produced by ChatGPT, Gemini, and Perplexity regarding most frequently asked keywords about low back pain by Erkan Ozduran, Volkan Hancı, Yüksel Erkin, İlhan Celil Özbek, Vugar Abdulkerimov

“…This study can provide inspiration for future studies on improving the algorithms and responses of AI chatbots.…”
Get full text

Genetic Determinants of Immune Cells and Hepatocellular Carcinoma Risk: A Bioinformatics and Bidirectional Mendelian Randomization Study by Tong WU, Fei GAO, Fei TENG, Qiaoli ZHANG

“…ObjectiveTo identify core targets of hepatocellular carcinoma (HCC) by using bioinformatics and specific algorithms, explore their relationships with immune cells, and investigate the causal relationships between immune cells and HCC through Mendelian randomization. …”
Get full text

Pendekatan Ensemble untuk Analisis Sentimen Covid19 Menggunakan Pengklasifikasi Soft Voting by Nova Agustina, Candra Nur Ihsan

“…In this study, all algorithms get the same accuracy for sentiment analysis, which is 89%. …”
Get full text

Exploring timely and safe discharge from ICU: a comparative study of machine learning predictions and clinical practices by Chao Ping Wu, Rachel Benish Shirley, Alex Milinovich, Kaiyin Liu, Eduardo Mireles-Cabodevila, Hassan Khouli, Abhijit Duggal, Anirban Bhattacharyya

“…The LightGBM model outperformed other algorithms, achieving a AUROC of 0.91 (95%CI 0.9–0.91) and performance was held in the 2020 validation cohort (n = 509) with an AUROC of 0.85 (95%CI 0.84–0.85). …”
Get full text

Tourism Growth Prediction Based on Deep Learning Approach by Xiaoling Ren, Yanyan Li, JuanJuan Zhao, Yan Qiang

“…The main objective in this study is to predict the tourism growth via one of the deep learning algorithms of extracting new features. The outcome of this study showed that the performance of the adopted deep learning framework was better than that of artificial neural network and support vector regression models. …”
Get full text

ANALYSIS OF CELLULAR REACTION TO IFN-γ STIMULATION BY A SOFTWARE PACKAGE GeneExpressionAnalyser by A. V. Saetchnikov, M. M. Yatskou, P. V. Nazarov, L. Vallar, V. V. Apanasovich

“…The software package GeneExpressionAnalyser for analysis of the DNA microarray experi-mental data has been developed. The algorithms of data analysis, differentially expressed genes and biological functions of the cell are described. …”
Get full text

Exploring QSAR for Antimalarial Activities and Drug Distribution within Blood of a Series of 4-Aminoquinoline Drugs Using Genetic-MLR by Amir Najafi, Soheil Sobhanardakani, Mehdi Marjani

“…QSAR modeling of the antimalarial activity and blood-to-plasma concentration ratio of Chloroquine and a new series of 4-aminoquinoline derivatives were developed using genetic algorithms with multiple linear regression (GA-MLR) method. …”
Get full text

A Primer for Disease Gene Prioritization Using Next-Generation Sequencing Data by Shuoguo Wang, Jinchuan Xing

“…The recent development of many computational algorithms and programs has vastly improved the ability to translate sequence data into valuable information for disease gene identification. …”
Get full text

Identifying Smart Strategies for Effective Agriculture Solution Using Data Mining Techniques by Anthony Jesus Bustamante Suarez, Barjinder Singh, Firas Husham Almukhtar, Rajnish Kler, Sonali Vyas, Karthikeyan Kaliyaperumal

“…Use of the CART and random forest algorithms is a data mining technique that may be used to various datasets. …”
Get full text

Taking into account the lens geometric distortion during accumulation of blurred star images in an astro-inertial attitude sensor by S. N. Vasilyuk

“…This approach makes it possible to preserve the structure of the subpixel accumulation and star detection algorithms previously obtained for an ideal image. An example of allowing for the radial distortion parameters obtained by calibrating a real camera is given.…”
Get full text

Surface Approximation using Growing Self-Organizing Nets and Gradient Information by Jorge Rivera-Rovelo, Eduardo Bayro-Corrochano

“…Also, we show that in the adaptation stage the network utilizes efficient transformations, expressed as versors in the conformal geometric algebra framework, which build the shape of the object independent of its position in space (coordinate free). Our algorithms were tested with several images, including medical images (CT and MR images). …”
Get full text

A Survey of Datacenter and Optical Data Center Networks by Esraa Ali Abdulmahdi Abdul Mahdi, Ali Al-Askery, Adnan Hussein Ali, Safiye Ghasemi

“…Finally, we make a comprehensive between some related works with an analysis of the algorithmic challenges faced by these technologies. …”
Get full text