Harnessing SVM for Sentiment Analysis: Insights from Gojek's Instagram Engagement by Muhammad Juan Savero, Ali Ibrahim, Yadi Utama, Endang Lestari

“…This research analyzes Gojek user sentiment on Instagram using Support Vector Machine (SVM). Data is obtained through web scraping, then processed through text cleaning, tokenization, common word removal, and stemming. …”
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Rolling Bearing Fault Diagnosis Method Based on Fusion of CNN and CSSVM by LI Yunfeng, LAN Xiaosheng, SHEN Hongchang, XU Tongle

“…Finally, the extracted feature vectors were input into the support vector machine classification layer with optimized parameters by cuckoo search algorithm to realize the fault classification of rolling bearings. …”
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New Heuristics Method for Malicious URLs Detection Using Machine Learning by Maher Kassem Hasan

“…We implemented and optimized three models—Logistic Regression, Random Forest, and Support Vector Machines (SVM)—based on the literature available that indicates the effectiveness of these models. …”
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Physiological Signals as Predictors of Mental Workload: Evaluating Single Classifier and Ensemble Learning Models by Nailul Izzah, Auditya Purwandini Sutarto, Ade Hendi, Maslakhatul Ainiyah, Muhammad Nubli bin Abdul Wahab

“… With a growing emphasis on cognitive processing in occupational tasks and the prevalence of wearable sensing devices, understanding and managing mental workload has broad implications for safety, efficiency, and well-being. …”
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Group-Specific SVM With Bilevel Programming Methods for Parameter Optimization and Explainable AI in Urban Quality of Life Prediction by Gonzalo Rios-Vasquez, Hanns De La Fuente-Mella, Jose Ceroni-Diaz

“…These findings provide valuable insights for policymakers, supporting data-driven decision-making processes for urban development and resource allocation. …”
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First Report on the Molecular Detection and Characterization of <i>Rickettsia felis</i> in Laelapidae (Acari: Mesostigmata) Mites in Malaysia by Hiryahafira Mohamad Tahir, Faraliana Che Lah Ernieenor, Suhaili Zainal Abidin, Vishalani Vishnu Narainasamy, Mariana Ahamad

“…These pathogens are typically transmitted by arthropod vectors, such as ticks, mesostigmatid mites, and fleas. …”
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Forest cover restoration analysis using remote sensing and machine learning in central Malawi by Jabulani Nyengere, Precious Masuku, Sylvester Chikabvumbwa, Weston Mwase, Msaiwale Kathewera, Allena Laura Njala, Wilson Tchongwe, Isaac Tchuwa, Tiwonge I Mzumara, Chikondi Chisenga, Wilfred Kadewa, Emmanuel Chinkaka, Harineck Tholo

“…Nearly 58.4 % of previously bare land transitioned into grassland, while 60.28 % developed into tree cover, underscoring the synergy between natural ecological processes and community-driven conservation strategies, such as reforestation and the cessation of encroachment in protected forest areas. …”
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Automated Tomato Leaf Disease Detection Using Image Processing: An SVM-Based Approach with GLCM and SIFT Features by Rashid Khan, Nasir Ud Din, Asim Zaman, Bingding Huang

“…To support specialists in accurately identifying and managing these diseases, we propose an advanced automatic system for detecting and identifying tomato leaf diseases using sophisticated image processing techniques. Therefore, we proposed an approach that employs robust feature extraction methods, including the gray level co-occurrence matrix (GLCM) and scale-invariant feature transform (SIFT), coupled with a support vector machine (SVM) for adequate classification. …”
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Criterial and level model of key universal educational activities formation in the process of teaching mathematics in a basic school by Maria Vasilyevna Demidova

“…The object of the research is the process of teaching mathematics to students of a basic secondary school. …”
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Monitoring and modeling the process of expansion and physical development of cities by applying the combined method of neural network and neighborhood filter by Iman Bajelan

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Legal Judgment Prediction using Natural Language Processing and Machine Learning Methods: A Systematic Literature Review by Nasa Zata Dina, Sri Devi Ravana, Norisma Idris

“…Legal Judgment Prediction (LJP) study is experiencing a growing need for automating legal judgment process to predict court decisions. In this context, the present paper provides a systematic literature review of previous LJP study, implementing machine learning (ML) as decision-making and natural language processing (NLP) to extract information from legal judgment documents. …”
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Characterization of Dielectric Relaxation Process by Impedance Spectroscopy for Polymers: Nitrile Butadiene Rubber and Ethylene Propylene Diene Monomer by Jae Kap Jung, Young Il Moon, Gyung Hyun Kim, Nae Hyung Tak

“…By applying the created program to polymers such as nitrile butadiene rubber (NBR) and ethylene propylene diene monomer (EPDM), several relaxation processes were characterized: an α process due to segmental motions of the C-C bond, an α′ process attributed to fluctuations in the end-to-end dipole vector of the polymer chain, the conduction contribution by the filler observed above room temperature, and secondary relaxation processes β and γ of motion for the side group in NBR. …”
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Advancing sedimentation modeling in large reservoir systems: Insights from multi-scale process coupling and machine learning by Yuning Tan, Huaixiang Liu, Yongjun Lu, Zhili Wang, Wenjie Li

“…To address this issue, this study proposes a novel modeling framework that integrates multi-scale physical processes (sediment sources, inflow, and deposition) with machine learning (ML) techniques. …”
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Enhancing Review Processing in the Video Game Adaptation Domain through VADER and Rating-Based Labeling using SVM by Danita Divka Sajmira, Khothibul Umam, Maya Rini Handayani

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ML-based approach to potato diseases diagnosis using image processing and whale optimization algorithm for feature selection by Zhongxu Li, Seyed Mohamad Javidan

“…In the domain of plant pathology, image processing combined with artificial intelligence has emerged as a crucial approach for accurate plant disease identification. …”
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Automated Processing of Imaging Data through Multi-tiered Classification of Biological Structures Illustrated Using Caenorhabditis elegans. by Mei Zhan, Matthew M Crane, Eugeni V Entchev, Antonio Caballero, Diana Andrea Fernandes de Abreu, QueeLim Ch'ng, Hang Lu

“…Here, we present a generalizable formulation for autonomous identification of specific biological structures that is applicable for many problems. The process flow architecture we present here utilizes standard image processing techniques and the multi-tiered application of classification models such as support vector machines (SVM). …”
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Evaluation of data processing pipelines on real-world electronic health records data for the purpose of measuring patient similarity. by Maria Pikoula, Constantinos Kallis, Sephora Madjiheurem, Jennifer K Quint, Mona Bafadhel, Spiros Denaxas

“…In this context, the process of constructing clinically meaningful patient representations from complex datasets has not been systematically evaluated.…”
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Automation of image processing through ML algorithms of GRASS GIS using embedded Scikit-Learn library of Python by Polina Lemenkova

“…A series of modules for raster image processing was applied using scripting language of GRASS GIS to process the remote sensing data. …”
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Optimising a novel biofilm-based process using Neurospora discreta for enhanced treatment of lignin-rich wastewater by Himani Taneja, Shamas Tabraiz, Asma Ahmed

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Unveiling Arabic named entity recognition using natural language processing with artificial intelligence approach on Moroccan dialect by Wala Bin Subait, Nazir Ahmad, Muhammad Swaileh A. Alzaidi, Mohammed Alqahtani, Asma A. Alhashmi, Nojood O. Aljehane, Mohammed Alshahrani, Shoayee Dlaim Alotaibi

“…Abstract Named entity recognition (NER) is a significant natural language processing task (NLP) in several applications, including question-answering and data retrieval. …”
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