KanuriSenti: A novel dataset for sentiment analysis in the under-resourced Kanuri languageMendeley Data by Bashir Maina Saleh, Saurabh Bilgaiyan, Santwana Sagnika

“…This paper presents KanuriSenti, a novel sentiment analysis dataset developed for Kanuri, a major yet under-resourced language spoken across Nigeria and the Lake Chad region. …”
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Public Perception of Autonomous Mobility Using ML-Based Sentiment Analysis over Social Media Data by Nikolaos Bakalos, Nikolaos Papadakis, Antonios Litke

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Design of Automatic Scoring System for Oral English Test Based on Sequence Matching and Big Data Analysis by Ping Li, Hua Zhang, Sang-Bing Tsai

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Copula-Based Reliability Analysis of Vehicles Based on Censored Failures Data Using Reliability Importance Measures by Mateusz Oszczypala, Jakub Konwerski, Jaroslaw Ziolkowski, Jerzy Malachowski

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Three-dimensional atomic-scale characterization of titanium oxyhydroxide nanoparticles by data-driven lattice correlation analysis by Kohei Aso, Koichi Higashimine, Masanobu Miyata, Hiroshi Kamio, Yoshifumi Oshima

“…However, characterizing the atomic-scale structures of the metal oxyhydroxides has still been challenging due to their diverse structural types, nanometer-scale sizes, and beam sensitivity. Here, we developed a data-driven analysis approach for atom-resolved transmission electron microscopy images of titanium oxyhydroxide (metatitanic acid) nanoparticles. …”
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Winescape perception and big data analysis: An assessment through social media photographs in the Chianti Classico region by Veronica Alampi Sottini, Elena Barbierato, Iacopo Bernetti, Irene Capecchi, Sara Fabbrizzi, Silvio Menghini

“…The aim of the work is to propose a methodology to link the environmental and cultural landscape characteristics of the territory with the concept of winescape to improve the image of wine tourism adopting a systematic approach for territorial branding starting from the analysis of the visitors’ preferences. The analysis is conducted through the geographical information data shared on the social media Flickr. …”
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Path Design and Planning and Investment and Construction Mode of Multimodal Transport Network Based on Big Data Analysis by Shuai Wang, Shaochuan Fu

“…Therefore, this paper explores the PDP and ICM of the multimodal transport network based on big data analysis. Firstly, the influencing factors and behavioral features of multimodal transport were deeply examined, drawing on the logit model and the big data on multiple freight services, namely, railway transport, highway transport, waterway transport, and airway transport. …”
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Decoding the WHO Global Tuberculosis Report 2024: A Critical Analysis of Global and Chinese Key Data by Zhi Chen, Tao Wang, Jingli Du, Lin Sun, Guirong Wang, Ruizi Ni, Yajing An, Xueting Fan, Yufeng Li, Rui Guo, Lirong Mao, Wei Jing, Ke Shi, Jing Cheng, Qinglan Wang, Wenjuan Nie, Haican Liu, Jianqin Liang, Wenping Gong

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Disaggregated money supply and export competitiveness: A causal analysis using Tanzania's sectoral trade data by Enock Mwakalila, Lusekelo Kasongwa, Seif Muba

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3-Dimensional Spatial Analysis of Parking Lot Wall Scratch Using Mobile Point Cloud Data by Y. Li, C. Ye, Y. Zhang, Z. Kang

“…A novel approach integrating YOLOv10 object detection and PTv3 point cloud processing algorithms is developed to detect and localize scratches, while spatial analysis evaluates design factors affecting scratch distribution. …”
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Data-driven thermal safety threshold analysis of friction component based on macro-micro interaction model by Jianpeng Wu, Ao Ding, Chengbing Yang, Hanshu Zhang, Liyong Wang, Heyan Li

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Synergistic grasp analysis: A cross-sectional exploration using a multi-sensory data glove by Subhash Pratap, Kazuaki Ito, Shyamanta M. Hazarika

“…We introduce a novel multi-sensory data glove, integrated with resistive flex sensors and capacitive force sensors, to measure the intricate dynamics of hand movement. …”
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Optimized aspect level sentiment analysis of tweet data using deep learning and rule-based techniques by S. N. Enemuo, O. N. Akande, M. O. Lawrence, I. C. Saidu

“…Towards coming up with a localized sentiment analysis system, this research explored the use of rules and optimized Convolutional Neural Network (CNN) Deep Learning (DL) technique for aspect-level sentiment analysis of users’ tweets. …”
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Predictive exploratory data analysis of shopfloor CNC machine operation through a machine learning model by Tarique Ameer, Omid Fatahi Valilai

“…The research explores the capabilities of exploratory data analysis in the manufacturing shop floor at the machine level. …”
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Strategy for Visual Measurement of Power Quality Based on Higher-Order Statistics and Exploratory Big Data Analysis by Juan-José González-de-la-Rosa, Olivia Florencias-Oliveros, Paula Remigio-Carmona

“…This article proposes a strategy for the visual characterization of power quality in big data analysis contexts, culminating in the development of a visualization tool based on higher-order statistics, which exhibits an efficiency between 83.33% and 100% in detecting 50 Hz synthetic and real-life simple and hybrid events, showing its significant potential for real-world applications marked by non-linear loads and non-Gaussian behaviors and surpassing the detection of traditional tools such as boxplot by up to 50%. …”
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Leveraging LLMs for COVID-19 Fake News Generation and Detection: A Comparative Analysis on Twitter Data by Hong N. Dao, Yasuhiro Hashimoto, Incheon Paik, Truong Cong Thang

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CircPac: A web-based analysis toolset for exploring circular RNA dataGitHub by Amir Hossein Foroutan, Sadra Salehi-Mazandarani, Maryam Lotfi-Shahreza, Parvaneh Nikpour

“…However, a comprehensive analysis tool for analyzing circRNA data is still required. …”
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Determinants of solid fuel use in Sub-Saharan Africa: A multilevel analysis using DHS data. by Jember Azanaw, Mastewal Endalew

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Topological Data Analysis and Wavelet- Unsupervised Machine Learning Approaches to Identifying the Flooding and Non-Flooding Zones by Md Raqibul Hasan, Md. Jamal Hossain, Md. Waliullah, Abdul Hannan, Md. Mijanoor Rahman

“…The intertwined weather patterns known as the atmospheric river (AR) of Bangladesh make use of topological data analysis (TDA) in connection with wavelet decomposition and unsupervised machine learning (k-means clustering) methods to pave the way for enhanced flood detection. …”
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Analysis of wind resources in Senegal using 100-meter wind data from ERA5 reanalysis by Serigne Abdoul Aziz Niang, Ahmed Gueye, Mamadou Simina Drame, Abdoulaye Ba, Astou Sarr, Bado Nebon, Seydina Oumar Ndiaye, Demba Ndao Niang, Alle Dioum, Kharouna Talla

“…This study conducts a climatological analysis of wind resources in Senegal, utilizing wind data at 100 m from the ERA5 reanalysis. …”
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