Multi-trait phenotypic modeling through factor analysis and bayesian network learning to develop latent reproductive, body conformational, and carcass-associated traits in admixed... by Muhammad Anas, Bin Zhao, Bin Zhao, Haipeng Yu, Carl R. Dahlen, Kendall C. Swanson, Kris A. Ringwall, Lauren L. Hulsman Hanna

“…Following quality checks, 117,373 autosomal SNP markers were retained and used for genomic estimated breeding values (gEBV) in BN learning steps. Using exploratory and confirmatory FA, Body Size (BS) and Body Composition (BC) were identified as UBT for Model 1, explaining 14 phenotypic traits (t = 14). …”
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Risk prediction of QTc prolongation occurrence in cancer patients treated with commonly used oral tyrosine kinase inhibitors: machine learning modeling or conventional statistical... by Hsiang-Wen Lin, Tien-Chao Lin, Chien-Ning Hsu, Tzu-Pei Yeh, Yu-Chieh Chen, Liang-Chih Liu, Chen-Yuan Lin

“…The study followed four key steps: (1) Managing missing data, (2) Identifying important variables, (3) Training and testing the best prediction models, (4). …”
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Pengembangan Auto-AI Model Generatif Analisis Kompleksitas Waktu Algoritma Untuk Data Multi-Sensor IoT Pada Node-RED Menggunakan Extreme Learning Machine by Imam Cholissodin, Dahnial Syauqy, Dwi Ady Firmanda, Ibrahim Aji, Edy Rahman, Syazwandy Harahap, Fernando Septino

“…The steps in the study are utilized to create a generative model based on the Extreme Learning Machine (ELM) algorithm according to the recording of computational time values on several tests to automate the determination of time complexity equation model of the algorithm in general including the search of best cases, worst cases, and average cases for non-recursive, and base cases and recurrent cases for recursive, as well as algorithms that contain both. …”
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Comparative Analysis of Hybrid Attention and Progressive Layering Through a Comprehensive Evaluation of ARU-Net and PLU-Net in Brain Tumour Segmentation by Noman Ahmed Siddiqui, Muhammad Tahir Qadri, Muhammad Ovais Akhter, Tahira Anwar, Fahad Farooq

“…The current study is an in-depth comparative study of two different deep-learning models the Novel Hybrid Channel Attention Regression U-Net (ARU-Net) and Progressive Layered U-Net (PLU-Net) that build on the U-Net architecture as an enhancement to increase the segmentation accuracy of the BraTS 2021 dataset with respect to the T1, T1ce, T2, and FLAIR modalities. …”
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Performance Evaluation of Support Vector Machine and Stacked Autoencoder for Hyperspectral Image Analysis by Brahim Jabir, Bendaoud Nadif, Isabel De la Torre Diez, Helena Garay, Irene Delgado Noya

“…Our research dives into the performance comparison of two popular machine learning approaches: the support vector machine (SVM) and the more recent deep learning-based stacked autoencoder (SAE). …”
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Construction of time series prediction and dynamic evaluation model for environmental factors in pregnant sow houses in winter by Xuehan Li, Jia Shen, Xiaoping Yang, Pengcheng Nie, Yiming Li, Zhe Li, Yawen Tan, Ziyi Li

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Notre terre vue du ciel by Stéphanie Tselouiko

“…In this article I propose to highlight the mechanisms of transcription and translation of a territorial knowledge incorporated into words and symbols projected on maps and associated new discourses. As a first step, an analysis of how the Xikrin of the Trincheira Bacajá Indigenous Land (Pará, Brazil) relate to their surrounding forest world will allow me to argue that territoriality and learning go hand in hand with the production of sociality that is concretized in the displacement through the forest and the appropriation of species and spaces. …”
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Priority-Based Reward Mechanism for Dual-Robot Path Planning in Dynamic Environments by Yibo Hu, Lai Wei, Xiaoyu Guo, Zhenyao Li, Yanding Wei, Qiang Fang

“…In this paper, we propose a priority-based step reward mechanism, which is a new reward mechanism for deep reinforcement learning of multi-robot systems and can improve collaboration between robotic arms in shared workspaces. …”
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PLASMOpred: A Machine Learning-Based Web Application for Predicting Antimalarial Small Molecules Targeting the Apical Membrane Antigen 1–Rhoptry Neck Protein 2 Invasion Complex by Eugene Lamptey, Jessica Oparebea, Gabriel Anyaele, Belinda Ofosu, George Hanson, Patrick O. Sakyi, Odame Agyapong, Dominic S. Y. Amuzu, Whelton A. Miller, Samuel K. Kwofie, Henrietta Esi Mensah-Brown

“…Red cell invasion is a crucial step in the parasite’s life cycle, where the parasite invade human erythrocytes to sustain infection and ensure survival. …”
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A Holistic Strategy of Modified Superpixel Segmentation and Randomized Adam Hyperparameter Tuning with Deep Learning Approaches for the Classification of Breast Cancer from BreakHi... by Gowri Shankar Manivannan, Karthikeyan Shanmugam, Harikumar Rajaguru, Satish V. Talawar, Rajanna Siddaiah

“…The extracted features are analyzed with machine learning models such as Gaussian Mixture Model (GMM), Decision Tree (DT), Softmax Discriminant Classifier (SDC), SVM using RBF kernel and Naive Bayes Classifier (NBC) as well as deep learning models ResNet-50, VGG16, VGG19 and EfficientNet-B0. …”
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Uncertainty-aware automatic TNM staging classification for [18F] Fluorodeoxyglucose PET-CT reports for lung cancer utilising transformer-based language models and multi-task learni... by Stephen H. Barlow, Sugama Chicklore, Yulan He, Sebastien Ourselin, Thomas Wagner, Anna Barnes, Gary J.R. Cook

“…Our approach to handling uncertainty represents a novel first step but has room for further refinement.…”
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Machine learning to identify pairwise interactions between specific IgE antibodies and their association with asthma: A cross-sectional analysis within a population-based birth coh... by Sara Fontanella, Clément Frainay, Clare S Murray, Angela Simpson, Adnan Custovic

“…We adopted several machine learning methodologies that offer a powerful framework to investigate the highly complex sIgE-asthma relationship. …”
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Alih Kode dan Campur Kode dalam Pembelajaran Bahasa Indonesia by Hizbi Naufal Azis, Laili Etika Rahmawati

“…Data collection techniques in this study used the observation and note technique. The first step, the researcher listens to the use of language in Indonesian language learning. …”
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Audiogram Digitization Tool for Audiological Reports by Francois Charih, James R. Green

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The Implementation of Process Based Approach in Teaching Writing on The Tenth Grade Students in Senior High School by Made Hendrawan Pangestu, P. A. K. Juniarta, G. Mahendrayana

“… In the learning process, language is one of the most important communication tools for humans in conveying messages, feelings, and ideas from every human being (Dutta, 2020). …”
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Migrating teaching of automata theory to a digital platform by Steven Jordaan, Nils Timm, Linda Marshall

“…The study represents a step forward in making theoretical computer science more accessible and engaging, benefiting both teachers and students. …”
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Improving Airport Flight Prediction System Based on Optimized Regression Vector Machine Algorithm by Baraa Yousif Salman, Jaber Parchami

“…The SVR algorithm is a machine learning algorithm that uses regression functions. …”
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A machine-learning reconstruction of sea surface <i>p</i>CO₂ in the North American Atlantic Coastal Ocean Margin from 1993 to 2021 by Z. Wu, Z. Wu, W. Lu, A. Roobaert, L. Song, X.-H. Yan, W.-J. Cai

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In teamwork, is the whole sum of the parts? by Rosalinda Arroyo-Hernández, Isaac Camacho-Miranda, Eduardo Fernández-Nava, José Vladimir Ruíz-Pérez, Daniela Sarahi Anaya-Lima

“…Teamwork is one of the most common educational strategies in Higher Education Institutions, documenting widely that cooperative learning has advantages in terms of individual performance, comprehensive knowledge, school performance and even in school adaptation. …”
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Hyperspectral Images Fusion Classification Based on the DS Evidence Theory by LI Hao, YU Hong, RAO Tong, ZHOU Shuai, SHEN Feng

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