Sentiment Analysis of Rohingya Refugees in Aceh using Support Vector Machine (SVM) and Multinomial Logistic Regression by Gigih Army Buana Baliputra, Slamet Kacung, Budi Santoso

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An Explainable LSTM-Based Intrusion Detection System Optimized by Firefly Algorithm for IoT Networks by Taiwo Blessing Ogunseyi, Gogulakrishan Thiyagarajan

“…Specifically, we employ a hybrid approach using statistical methods and a metaheuristic algorithm for feature selection to identify the most relevant features and limit the overall feature set while building an LSTM-based model for intrusion detection. …”
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An integrated machine learning model of transcriptomic genes in multi-center chronic obstructive pulmonary disease reveals the causal role of TIMP4 in airway epithelial cell by Erkang Yi, Haiqing Li, Yu Liu, Qingyang Li, Chengshu Xie, Ruining Sun, Fan Wu, Zhishan Deng, Kunning Zhou, Hairong Wang, Xinru Ran, Yumin Zhou, Pixin Ran

“…Additionally, a gene-based model was constructed to distinguish COPD at the molecular level and validated in independent cohorts. …”
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Identification of sepsis biomarkers through glutamine metabolism-mediated immune regulation: a comprehensive analysis employing mendelian randomization, multi-omics integration, an... by Zhuang’e Shi, Fuping Wang, Lishun Yang, Lishun Yang, Couwen Li, Bing Gong, Ruanxian Dai, Guobing Chen

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Evaluation of the cervical liquid-based cytology sample as a microbiome resource for dual diagnosis. by Chiwoong Lim, Young-Jun Seo, Ji-Yeong Lee, Eun Sung Jung, Sunyoung Lee, Hayoung Kim, Kidong Kim, Jun-Mo Kim

“…Supervised machine learning has revealed challenges in distinguishing LBC and SWAB samples based on their microbiome features. …”
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A dataset for surface defect detection on complex structured parts based on photometric stereo by Lin Wu, Yu Ran, Li Yan, Yixing Liu, You Song, Dongran Han

“…To address these issues, a novel defect detection technique based on deep learning and photometric stereo vision was proposed, along with the creation of the Metal Surface Defect Dataset (MSDD). …”
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Fully Automated Assessment of Cardiac Chamber Volumes and Myocardial Mass on Non-Contrast Chest CT with a Deep Learning Model: Validation Against Cardiac MR by Ramona Schmitt, Christopher L. Schlett, Jonathan I. Sperl, Saikiran Rapaka, Athira J. Jacob, Manuel Hein, Muhammad Taha Hagar, Philipp Ruile, Dirk Westermann, Martin Soschynski, Fabian Bamberg, Christopher Schuppert

“…<b>Results</b>: The deep learning model generated CT measurements for 52 of the 53 patients (98%). …”
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The role of endothelial cell-related gene COL1A1 in prostate cancer diagnosis and immunotherapy: insights from machine learning and single-cell analysis by Gujun Cong, Jingjing Shao, Feng Xiao, Haixia Zhu, Peipei Kang

“…Furthermore, based on patients’ prognostic information, multiple machine learning analyses highlighted the critical role of COL1A1. …”
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Prediction of the risk of transplant rejection based on RNA sequencing data of PBMCs before transplantation by Yu Gong, Yuan Wang, Kazuyoshi Takeda, Saori Hirota, Yui Maehara, Ko Okumura, Koichiro Uchida

“…Abstract Novel methods for detecting transplant rejection are craved, since conventional methods can detect ongoing rejection that may sometimes have already caused irreversible damage in transplanted organs. …”
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Sentiment Analysis of Short Texts Using SVMs and VSMs-Based Multiclass Semantic Classification by K. Suresh Kumar, A.S. Radha Mani, T. Ananth Kumar, Ahmad Jalili, Mehdi Gheisari, Yasir Malik, Hsing-Chung Chen, Ata Jahangir Moshayedi

“…To enhance precision, the proposed work introduces weight-enhancing methods for processing renowned text weights. Sentiments are classified into positive, negative, and neutral categories. …”
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Research Trends and Hotspots in eDNA-Based Surveys of Macroinvertebrates: A Bibliometric Analysis by Xinyu Ge, Junyu Zhang, Ziming Shao, Lu Chai, Jiaxin Nie, Dan Yin, Haoran Zhang, Wenbin Liu, Chuncai Yan

“…In this study, we systematically analyzed 322 articles in the Web of Science Core Collection from 2010 to 2024 using bibliometric methods to reveal the research trends and technological advances in the field of macroinvertebrate surveys based on eDNA metabarcoding technology. …”
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A probabilistic gap based condition prediction approach for desulfurization slurry circulating pump by Jiaxing Zhu, Buyun Sheng, Junlan Hu, Yanfei Li, Ruiping Luo, Yue Shi

“…This paper proposes a solution using probabilistic gap positive-learning (PGPU) and biased SVM algorithms. …”
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Similarity Index Values in Fuzzy Logic and the Support Vector Machine Method Applied to the Identification of Changes in Movement Patterns During Biceps-Curl Weight-Lifting Exercis... by André B. Peres, Tiago A. F. Almeida, Danilo A. Massini, Anderson G. Macedo, Mário C. Espada, Ricardo A. M. Robalo, Rafael Oliveira, João P. Brito, Dalton M. Pessôa Filho

“…This study presents a proposal for the use of Morisita–Horn similarity indices in modelling with machine learning methods to identify changes in positional sequence patterns during the biceps-curl weight-lifting exercise with a barbell. …”
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Index approach to the assessment of the formation of human capital of the enterprise by M. B. Flek, E. A. Ugnich

“…Purpose: of the article is to develop a methodology for assessing the formation of an enterprise human capital, which is based on the calculation of indices of formal and informal learning of its employees.Methods: this article is based on the key provisions of the theory of human capital. …”
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Intelligent Recognition and Parameter Estimation of Radar Active Jamming Based on Oriented Object Detection by Jiawei Lu, Yiduo Guo, Weike Feng, Xiaowei Hu, Jian Gong, Yu Zhang

“…To enhance the perception capability of radar in complex electromagnetic environments, this paper proposes an intelligent jamming recognition and parameter estimation method based on deep learning. The core idea of the method is to reformulate the jamming perception problem as an object detection task in computer vision, and we pioneer the application of oriented object detection to this problem, enabling simultaneous jamming classification and key parameter estimation. …”
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The Emotional Component of Teaching RFL to Iranian Studentsas a Goal and Means of Achieving Optimal Results by Vajihe Rezvani, Alina A. Shuldishova

“…According to the survey results, 85.9% of students expressed dissatisfaction with the virtual learning process. 53% positively assessed the combined use of the above-mentioned methods.…”
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ICT Usage and Implementation of Competence-Based Curriculum in Selected Secondary Schools in Kabale Municipality. by Mugabe, Samuel

“…On Teachers’ perception towards ICT integration in the competence-based curriculum, it was strongly agreed that teachers had shown a positive attitude toward ICT integration in the competence based curriculum. …”
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Inconsistency-driven approach for human-in-the-loop entity matching by Hiroyoshi Ito, Takahiro Koizumi, Ryuji Yoshimoto, Yukihiro Fukushima, Takashi Harada, Atsuyuki Morishima

“…Method. This paper addresses an inconsistency-based method to deal with this problem. …”
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It’s not just about the cash: The impact of conservation-based employment on human well-being by Louise K. Swemmer, Innocent Buthelezi, Kutullo M. Buthelezi, Thembi Marshall, Kgaugelo Morale, Marie-Tinka Uys, Wayne C. Twine, Anthony M. Swemmer

“…Our findings highlight the role of learning new things and having positive social connections in the workplace. …”
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KEMAMPUAN MEMBACA PEMAHAMAN DENGAN STRATEGI THE COGNITIVE ACADEMIC LANGUAGE LEARNING APPROACH (CALLA) BERBASIS KEARIFAN LOKAL SISWA KELAS VII SMP NEGERI 18 PADANG by Witri Annisa, Rio Rinaldi

“…The aim of this research is to describe the learning process and the ability of student reading comprehension in class seven in SMP Negeri 18 Padang using CALLA strategy based on the local wisdom. …”
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