iMESc – an interactive machine learning app for environmental sciences by Danilo Cândido Vieira, Danilo Cândido Vieira, Fabiana S. Paula, Luciana Erika Yaginuma, Gustavo Fonseca

“…To address these issues, we developed iMESc, an interactive ML app designed to streamline and simplify ML workflows for environmental data. Developed in R and built on the Shiny platform, iMESc enables the integration of supervised and unsupervised ML methods, along with tools for data preprocessing, visualization, descriptive statistics, and spatial analysis. …”
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Development and Validation of a Non-Invasive Prediction Model for Glioma-Associated Epilepsy: A Comparative Analysis of Nomogram and Decision Tree by Zhong Z, Yu HF, Tong Y, Li J

“…The nomogram and decision tree GAE visualization prediction model were constructed based on independent risk factors. …”
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Advanced Necklace for Real-Time PPG Monitoring in Drivers by Anna Lo Grasso, Pamela Zontone, Roberto Rinaldo, Antonio Affanni

“…The collected physiological data can be transmitted wirelessly to a mobile application for instant analysis and visualization. …”
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An Interpretable Implicit-Based Approach for Modeling Local Spatial Effects: A Case Study of Global Gross Primary Productivity Estimation by S. Du, H. Huang, K. Shen, Z. Liu, S. Tang

“…Additionally, a self-attention-based encoder is used to extract location-invariant common features from the data. In the decoding stage, the approach employs a conditional generation strategy that predicts response variables and interpretative weights based on data features under spatiotemporal conditions. …”
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Laparoscopic Access in Radical Surgical Treatment of Complicated Gastric Cancer: a Single-Center Experience by S. A. Tarasov, P. A. Yartsev, I. I. Kirsanov, M. M. Rogal, S. O. Aksenova

“…The study included patients diagnosed with gastric cancer complicated by bleeding or gastric outlet/cardioesophageal junction obstruction, over 18 years of age, who signed consent for the processing of personal data and inclusion of their clinical data in the research and underwent surgical treatment. …”
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Mobile brain imaging in butoh dancers: from rehearsals to public performance by Constantina Theofanopoulou, Sadye Paez, Derek Huber, Eric Todd, Mauricio A. Ramírez-Moreno, Badie Khaleghian, Alberto Muñoz Sánchez, Leah Barceló, Vangeline Gand, José L. Contreras-Vidal

“…We also describe the engineering details and hardware that enabled us to achieve synchronization between signals recorded at different sampling frequencies, along with a signal preprocessing and denoising pipeline that we used for data re-sampling and power line noise removal. As our experiment culminated in a live performance, where we generated a real-time visualization of the dancers’ interbrain synchrony on a screen via an artistic brain-computer interface, we outline all the methodology (e.g., filtering, time-windows, equation) we used for online bispectrum estimations. …”
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Developing an Intelligent Resume Screening Tool With AI‐Driven Analysis and Recommendation Features by K. L. Abhishek, M. Niranjanamurthy, Shonit Aric, Syed Immamul Ansarullah, Anurag Sinha, G. Tejani, Mohd Asif Shah

“…The user‐friendly interface, developed using Streamlit, allows for seamless resume uploading, insightful data visualization, and analytics. The Resume Analyzer significantly streamlines the resume screening process, providing recruiters with valuable insights and enhancing their decision‐making capabilities.…”
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Mobile application based on KDD to predict high-crime areas and promote sustainability in citizen security in a district of Lima-Perú by Hugo Vega-Huerta, Javier Vilca Velasquez, Nicolas Anicama Espinoza, Gisella Luisa Elena Maquen-Niño, Luis Guerra-Grados, Jorge Pantoja-Collantes, Oscar Benito-Pacheco, Juan Carlos Lázaro-Guillermo, Adegundo Camara-Figueroa, Javier Cabrera-Díaz, Rubén Gil-Calvo, Frida López-Córdova

“…The data mining process follows the KDD methodology, which includes the stages of selection, preprocessing, transformation, data mining, evaluation and knowledge consolidation. …”
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Computational Tool for Curve Smoothing Methods Analysis and Surface Plasmon Resonance Biosensor Characterization by Mariana Rodrigues Villarim, Andréa Willa Rodrigues Villarim, Mario Gazziro, Marco Roberto Cavallari, Diomadson Rodrigues Belfort, Oswaldo Hideo Ando Junior

“…The proposed tool offers several innovations, such as integration of both traditional and hybrid (angle vs wavelength) analysis modes, implementation of four advanced curve smoothing techniques, including Gaussian filter, Savitzky–Golay, smoothing splines, and EWMA, as well as a user-friendly graphical interface supporting real-time data visualization, experimental data import, and result export. …”
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A Smart Web-Based Power Quality and Energy Monitoring System With Enhanced Features by Rami Moustafa, Hussain Shareef, Madathodika Asna, Rachid Errouissi, Jeyraj Selvaraj

“…The PQEm device includes time-frequency analysis to enhance visualization and characterization of voltage and current data. …”
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Protocol for an intervention development and pilot implementation evaluation study of an e-health solution to improve newborn care quality and survival in two low-resource settings... by Hassan Haghparast-Bidgoli, Michelle Heys, Caroline Crehan, Erin Kesler, Monica Lakhanpaul, Emma Wilson, Fabiana Lorencatto, Felicity Fitzgerald, Mario Cortina Borja, Msandeni Chiume, Hannah Gannon, Simbarashe Chimhuya, Gwendoline Chimhini, Tim Hull-Bailey, Tarisai Chiyaka, Yali Sassoon, Deliwe Nkhoma, Nushrat Khan, Alexander G. Stevenson, Kristina Curtis

“…Since 2014, we have worked in Bangladesh, Malawi, Zimbabwe and the UK to develop and pilot Neotree: an android app with accompanying data visualisation, linkage and export. Its low-cost hardware and state-of-the-art software are used to improve bedside postnatal care and to provide insights into population health trends, to impact wider policy and practice.Methods and analysis This is a mixed methods (1) intervention codevelopment and optimisation and (2) pilot implementation evaluation (including economic evaluation) study. …”
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Knowledge and perceptions of blood donors of the Western Cape Blood Services, South Africa, toward vaginal sample donation for biobanking by Shantelle Claassen-Weitz, Brian Kullin, Brian Kullin, Elloise du Toit, Sugnet Gardner-Lubbe, Jo-Ann S. Passmore, Jo-Ann S. Passmore, Heather Jaspan, Heather Jaspan, Anna-Ursula Happel, Anna-Ursula Happel, Greg Bellairs, Caroline Hilton, Anika Chicken, Kirsten Welp, Hannah Livingstone, Adrian Brink, Adrian Brink

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Perancangan User Experience Aplikasi Bimbingan Akademik Mahasiswa FILKOM Menggunakan Metode Human-Centered Design by Farassulthana Azzahra Willary Yaasiin, Herman Tolle, Hanifah Muslimah Az-Zahra

“…The new Standard Operating Procedure (SOP) guidelines at the Faculty of Computer Science (FILKOM) have been specially developed so that lecturers and students can periodically monitor the progress of student studies and see the shortcomings of student studies based on data analysis of student study results. The data-based evaluation process will be easier to do if you use a system or application that has the appropriate data visualization. …”
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AnVILWorkflow: A runnable workflow package for Cloud-implemented bioinformatics analysis pipelines [version 1; peer review: 2 approved] by Sean Davis, Marcel Ramos, Michael C. Schatz, Kai Gravel-Pucillo, Levi Waldron, Sehyun Oh, Martin Morgan, Vincent Carey

“…The Genomic Data Science Analysis, Visualization, and Informatics Lab-space (AnVIL) provides a cloud-based platform for democratizing access to large-scale genomics data and analysis tools. …”
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Development of a risk prediction model for sepsis-related delirium based on multiple machine learning approaches and an online calculator. by Lang Gao, Guang Dong Wang, Xing Yi Yang, Shi Jun Tong, Xu Jie Wang, Yun Ruo Chen, Jin Ying Bai, Ya Xin Zhang

“…To manage imbalanced data, we applied the Synthetic Minority Over-sampling Technique (SMOTE) method. …”
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Efficiently Learning an Encoder That Classifies Token Replacements and Masked Permuted Network-Based BIGRU Attention Classifier for Enhancing Sentiment Classification of Scientific... by Muhammad Inaam Ul Haq, Khalid Mahmood, Qianmu Li, Ashok Kumar Das, Sachin Shetty, Majid Hussain

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Deep Learning-Based Imagery Style Evaluation for Cross-Category Industrial Product Forms by Jianmin Zhang, Yuliang Li, Mingxing Zhou, Sixuan Chu

“…By combining Kansei Engineering (KE) theory with four key visual morphological features—contour lines, edge transition angles, visual directions and visual curvature—we define six representative style paradigms: Naturalness, Technology, Toughness, Steadiness, Softness, and Dynamism (NTTSSD), enabling quantification of the mapping between product features and user preferences. …”
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Corrections of Dental Anomalies in the Maxillary Incisors and Their Influence on Perceived Smile Esthetics: A Systematic Review by Nessa Rose McGarty, Caterina Delre, Carlo Gaeta, Tiziana Doldo

“…The medical literature was systematically searched (Pubmed, PMC, Embase, Cochrane Central Register of Controlled Clinical trials, Scopus and Google Scholar) to identify all relevant articles reporting data regarding the chosen anomalies. ROBINS–I was used to assess the risk of bias tool, and the results were tabulate due to data heterogeneity. …”
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An integrative genomic approach to uncover molecular mechanisms of prokaryotic traits. by Yang Liu, Jianrong Li, Lee Sam, Chern-Sing Goh, Mark Gerstein, Yves A Lussier

“…With mounting availability of genomic and phenotypic databases, data integration and mining become increasingly challenging. …”
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Estimation of plant leaf water content based on spectroscopy by Jiangtao Ji, Xinyi Lu, Hao Ma, Xin Jin, Shijie Jiang, Hongwei Cui, Xiaoxuan Lu, Yaqing Yang

“…The optimal model was used to predict the water content of each pixel in the hyperspectral images, achieving visualization of leaf water distribution. Additionally, 244 groups of hyperspectral and water content data from apple tree and lettuce leaves were collected to validate the generalization ability of the optimal model.ResultsResults showed that the optimal models established using the two methods were the linear regression model based on the vegetation index NISDI (3 wavelengths, RP2 = 0.9636, RMSEP=0.0356), and the CARS-RF model (12 wavelengths, RP2 = 0.9861, RMSEP=0.0219). …”
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