Predicting Sudden Stratospheric Warmings Using Video Prediction Methods by Yuhao Du, Jiankai Zhang, Xinyuan Cheng, Yixiong Lu, Douwang Li, Wenshou Tian

Get full text

Artificial Intelligence-Based Methods for Drug Repurposing and Development in Cancer by Sara Herráiz-Gil, Elisa Nygren-Jiménez, Diana N. Acosta-Alonso, Carlos León, Sara Guerrero-Aspizua

“…This review explores the application of AI-based methods for drug repurposing and natural product-inspired drug design in cancer, focusing on their potential to address the challenges and limitations of traditional drug discovery approaches. …”
Get full text

Multi-factor evaluation of clustering methods for e-commerce application by Adam Wasilewski, Krzysztof Juszczyszyn, Vera Suryani

“…In this context, clustering as an unsupervised machine learning method offered a way to overcome the limitations of traditional grouping, particularly by providing the ability to capture the diverse needs of consumers. …”
Get full text

Tree-Based Methods of Volatility Prediction for the S&P 500 Index by Marin Lolic

“…In this paper, we propose and test several methods of volatility forecasting on the S&P 500 Index using tree ensembles from machine learning, namely random forest and gradient boosting. …”
Get full text

Clinical skills learning of the first-year medical students at clinical skills laboratory using simulated patients by Mohamed Imran

Get full text

Artificial intelligence methods and approaches to improve data quality in helthcare data by Jarmakoviča Agate

“…Findings reveal that accuracy and consistency are the most emphasized dimensions in the literature, with methods like supervised learning, NLP, and isolation forest frequently applied. …”
Get full text

Overview of Computational Toxicology Methods Applied in Drug and Green Chemical Discovery by Jose I. Bueso-Bordils, Gerardo M. Antón-Fos, Rafael Martín-Algarra, Pedro A. Alemán-López

“…The key features of the QSAR method are also outlined, and the selection of appropriate physicochemical descriptors is a prerequisite for robust predictions. …”
Get full text

Explainable AI for Alzheimer Detection: A Review of Current Methods and Applications by Fatima Hasan Saif, Mohamed Nasser Al-Andoli, Wan Mohd Yaakob Wan Bejuri

“…In this review, we critically evaluate current explainable AI (XAI) methods applied to AD detection and highlight their limitations. …”
Get full text

Eclectic Maharah Kalam and Kitabah: Solution or Obstacle? in Arabic Language Learning for MTs Student by Diazzahra Dinda Irawan, Ari Khairurrijal Fahmi, Ahsanu Nadia

“…The eclectic method, which integrates various learning strategies and media, is expected to be a creative solution to improve the quality of learning. …”
Get full text

The Impact of Debate Method on Prospective Elementary Schools’ Communication Ability by Mukti Kanaya Sidiq, Ali Mustadi

Subjects: Get full text

Comparison of Team Based and Traditional Teaching Methods in Forensic Medicine: on the Basis of Assessment Tools by Shahid Kamran, Muhammad Sajid Khan, Jamil Ahmed Siddiqui, Natasha Mustafa, Waqar Shaikh, Hina Khan

“…In Group A, the students were taught via traditional lecture-based method and Group B was introduced to Team Based Learning. …”
Get full text

A Review of Traffic Flow Prediction Methods in Intelligent Transportation System Construction by Runpeng Liu, Seong-Yoon Shin

“…This paper comprehensively reviews the traffic flow prediction methods used in ITSs and divides them into three categories: statistics-based, machine learning-based, and deep learning-based methods. …”
Get full text

Assessing marine ecosystem risks through unsupervised methods by Laura Pavirani, Pasquale Bove, Gianpaolo Coro

“…This study evaluates six unsupervised methods — four clustering algorithms (Multi K-means, Fuzzy C-means, X-means, and DBSCAN) and two machine-learning models (an Artificial Neural Network, ANN, and a Variational Autoencoder, VAE) — to assess marine ecosystem risk in the Mediterranean Sea automatically, using open-access data from 2017 to 2021. …”
Get full text

Numerical Methods for Topological Optimization of Wooden Structural Elements by Daniela Țăpuși, Andrei-Dan Sabău, Adrian-Alexandru Savu, Ruxandra-Irina Erbașu, Ioana Teodorescu

Subjects: Get full text

Methods for Constructing Artificial Neural Networks for Data Classification by L. V. Serebryanaya

“…The features of such a model are given. The two implemented methods for constructing artificial neural networks have been used in the software module for testing students’ knowledge. …”
Get full text

Bringing embodied approaches to on-campus research methods teaching for large STEM cohorts: design, challenges, learning by Nicola Tomlinson, Sarah Kneen

Subjects: Get full text

Multimodal emotion recognition method in complex dynamic scenes by Long Liu, Qingquan Luo, Wenbo Zhang, Mengxuan Zhang, Bowen Zhai

Get full text

Wind Power Prediction Method and Outlook in Microtopographic Microclimate by Jia He, Fangchun Tang, Junxin Feng, Chaoyang Liu, Mengyan Ni, Youguang Chen, Hongdeng Mei, Qin Hu, Xingliang Jiang

“…Then, the accurate prediction of wind power under icing weather is considered, and two possible research directions for wind power prediction under icy weather are proposed: a statistical prediction method for classifying and clustering wind turbines according to microtopography, combining large-scale meteorological parameters with small-scale meteorological parameter correlation models and using machine learning for cluster power prediction, and a power prediction model converted from the power prediction model during normal operation of the wind turbine to the power prediction model during icing. …”
Get full text