Liquid white box model as an explainable AI for surgery by Homer A. Riva-Cambrin, Rahul Singh, Sanju Lama, Garnette R. Sutherland

“…Artificial intelligence shows great promise in filling the gap where humans and classical computing algorithms cannot process information in an efficient manner. …”
Get full text

Magnetic resonance imaging of cruciate ligament disorders: current updates by Tanda Yang, Yexin Li, Longtao Yang, Qian Liu

“…AI plays a crucial role in automating radiological estimations and enabling data-driven predictions of future events. Despite the transformative impact of advanced MRI techniques on the analytical and diagnostic algorithms related to cruciate ligament disorders, future efforts are warranted to address challenges such as economic burdens and ethical considerations.…”
Get full text

A critical assessment of ionic liquid-based aqueous biphasic systems for biomolecules extraction and CO2 absorption by Viggy Wee Gee Tan, Yazan Abuhasheesh, Doris Ying Ying Tang, Yongyu Zhang, Zengling Ma, Lin Chen, Rambabu Krishnamoorthy, Pau Loke Show

“…The incorporation of machine learning (ML) algorithms to predict the toxicity and CO2 capture properties, as well as the scaling up of IL-ABSs, is also explored.…”
Get full text

UNVEILING FAKE NEWS DETECTION MODELS AND THEIR INTEGRATION INTO WEB SYSTEMS: AN EXTENSIVE INVESTIGATION by Vimal Gaur, Naman Veerwal, Ujjwal Chaudhary, Sparsh Kadian

“…Powered by Multinomial Naive Bayes and Passive Aggressive Classifier algorithms, Fake News Detection System ensures accurate classification. …”
Get full text

Echo state networks for modeling turbulent convection by Mohammad Sharifi Ghazijahani, Christian Cierpka

“…Meanwhile, Echo State Networks (ESN) are among the most fundamental machine learning algorithms suited for modeling sequential data. The current study conducts reduced order modeling of experimental RBC. …”
Get full text

Multimodal Deep Learning for Android Malware Classification by James Arrowsmith, Teo Susnjak, Julian Jang-Jaccard

“…We synthesise these modalities by combining predictions from convolutional and graph neural networks with a multilayer perceptron. …”
Get full text

Immune microenvironment and prognostic genes of triple-negative breast cancer in the context of transcriptome and single-cell sequencing by Xiangqin Huang, Wei Chen, Zhiwu Lin, Hui Zhang, Ruijuan Wang, Cailing Lin

“…Differential expression analysis, univariate Cox regression, and machine learning algorithms identified BPI, GPHA2, KIR3DL3, MASP1, RASGRP1, and SEMA4A as potential prognostic genes. …”
Get full text

Post-Pandemic Urban Future: Identification of the main trends of change in Latin America, through the application of the Delphi method by Yeimis Milton Palomino Pichihua

“…Additionally, it employs machine learning algorithms to transform them into predictions. The sample is made up of 26 panelists from different Latin American countries, who participated in successive questionnaires until stable results were reached. …”
Get full text

An Approximate Bayesian Inference for Beta Regression Models by kobra Gholizadeh Gazvar, Mohsen Mohammadzadeh

“…Bayesian analysis of these models generally requires the calculation of multiple integrals. The use of MCMC algorithms sometimes encounters long computation times and divergence. …”
Get full text

CROWD MONITORING AND CONTROLLING SYSTEM FOR HOMELAND SECURITY IMPROVEMENT by Ahmad Abubakar Mustapha, Mohamed Sirajudeen Yoosuf

“…This device offers a proactive approach to security monitoring, enabling swift responses to predict weapons and emotions in a crowd's suspicious activities and enhancing overall situational awareness.…”
Get full text

Innovative approaches to optimizing the road safety monitoring system by Shevtsova A.G., Bychkova C.A., Podkopaev A.V., Nechaev O.Y.

“…The article presents a statistical analysis of innovative approaches to optimizing the system for monitoring the level of accidents and social risk, which is aimed at improving the predictive capabilities of the existing system for monitoring road safety indicators on the State Traffic Safety Inspectorate website. …”
Get full text

Comparison of Recognition Techniques to Classify Wear Particle Texture by Mohammad Laghari, Ahmed Hassan, Mahmoud Haggag, Addy Wahyudie, Motaz Tayfor, Abdallah Elsayed

“…This analysis plays a vital role in predictive maintenance by revealing component degradation in machinery. …”
Get full text

Force-Sensing Glove System for Measurement of Hand Forces during Motorbike Riding by Qiang Ye, MirHojjat Seyedi, Zibo Cai, Daniel T. H. Lai

“…Consequently, a series of data classification algorithms ensure accurate hand performance feedbacks for motorbike riders. …”
Get full text

Role of Machine Learning in Liquid Biopsy of Brain Tumours by Zanib Javed, Saqib Kamran Bakhshi, Saad Akhtar Khan, Muhammad Shahzad Shamim

“…Large and complex amounts of data from liquid biopsy can be simplified by machine learning using various algorithms. By using this technique, we can diagnose brain tumours and differentiate low versus highgrade glioma and true progression from pseudo-progression. …”
Get full text

Development of Interactive Learning Application for Basic Programming Based on Technological Pedagogical Content Knowledge Framework by Daniel Yulius Soetjipto, Hendra Dinata, Melissa Angga, Jovan Adriel Widjaja

“… Information technology students must take Algorithms and Programming. Research shows that 28% of US students fail their basic programming subject, which is essential to mastering programming. …”
Get full text

Scientific Machine Learning for Elastic and Acoustic Wave Propagation: Neural Operator and Physics-Guided Neural Network by Nafisa Mehtaj, Sourav Banerjee

Get full text

Performance of Natural Language Processing versus International Classification of Diseases Codes in Building Registries for Patients With Fall Injury: Retrospective Analysis by Atta Taseh, Souri Sasanfar, Michelle Chan, Evan Sirls, Ara Nazarian, Kayhan Batmanghelich, Jonathan F Bean, Soheil Ashkani-Esfahani

“…The performances of the models were compared using accuracy, sensitivity, specificity, positive predictive value, negative predictive value, F1 ResultsA total of 1769 clinical notes were included in the final analysis for the fall occurrence task, and 783 clinical notes were analyzed for the fall mechanism classification task. …”
Get full text

Keypoint-based modeling reveals fine-grained body pose tuning in superior temporal sulcus neurons by Rajani Raman, Anna Bognár, Ghazaleh Ghamkhari Nejad, Albert Mukovskiy, Lucas Martini, Martin Giese, Rufin Vogels

“…Some anterior STS units exhibited better predictive performances with a view-dependent 3D model. …”
Get full text

Identification and validation of a prognostic risk model based on radiosensitivity-related genes in nasopharyngeal carcinoma by Yi Li, Xinyi Hong, Wenqian Xu, Jinhong Guo, Yongyuan Su, Haolan Li, Yingjie Xie, Xing Chen, Xiong Zheng, Sufang Qiu

“…Differentially expressed genes (DEGs) were identified between radiotherapy-sensitive and resistant samples. Machine learning algorithms and Cox regression were used to construct a prognostic risk model, validated in the GSE102349 dataset. …”
Get full text

Machine learning-driven nanoparticle toxicity by Zied Hosni, Sofiene Achour, Fatma Saadi, Yangfan Chen, Mohammed Al Qaraghuli

“…By using a robust dataset, we deployed Random Forest (RF) and Light Gradient Boosting Machine (LightGBM) algorithms to identify key NP features that significantly influence cellular toxicity. …”
Get full text