Methods for tree cover extraction from high resolution orthophotos and airborne LiDAR scanning in Spanish dehesas by I. Borlaf-Mena, M. A. Tanase, A. Gómez-Sal

“…Tree cover may be characterized from field data or through visual interpretation of remote sensing data, both time-consuming tasks. …”
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Utility analysis and demonstration of real-world clinical texts: A case study on Japanese cancer-related EHRs. by Shuntaro Yada, Tomohiro Nishiyama, Shoko Wakamiya, Yoshimasa Kawazoe, Shungo Imai, Satoko Hori, Eiji Aramaki

“…In addition, (2) extractable information regarding specific diseases showed surprisingly small intersections among text, diagnosis records, and medication orders. Text data can thus be a useful supplement for RWD mining, which is further demonstrated by (3) our practical application system for drug safety evaluation, which exhaustively visualizes suspicious adverse drug effects caused by the simultaneous use of anticancer drug pairs. …”
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Detecting significant expression patterns in single-cell and spatial transcriptomics with a flexible computational approach by Hadas Biran, Tamar Hashimshony, Tamar Lahav, Or Efrat, Yael Mandel-Gutfreund, Zohar Yakhini

“…Abstract Gene expression data holds the potential to shed light on multiple biological processes at once. …”
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Optimising Cyclist Road-Safety Scenarios Through Angle-of-View Analysis Using Buffer and GIS Mapping Techniques by Zahra Yaghoobloo, Giuseppina Pappalardo, Michele Mangiameli

“…Unlike previous studies that ignore cyclists’ visual perspectives in the context of real-world data, this work integrates objective GIS data with cyclists’ field of view-based modelling to identify high-risk areas and highlight the need for enhanced safety measures. …”
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Population level inference for multivariate MEG analysis. by Anna Jafarpour, Gareth Barnes, Lluis Fuentemilla, Emrah Duzel, Will D Penny

“…We illustrate the method by identifying feature sets based on variable-dimension MEG power spectra in the primary visual cortex and fusiform gyrus that are maximally discriminative of data epochs before versus after visual stimulation.…”
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Application of machine learning in early childhood development research: a scoping review by Akbar K Waljee, Amina Abubakar, Patrick N Mwangala, Faith Neema Benson, Daisy Chelangat, Willie Brink, Cheryl A Moyer

“…Excluded were studies focusing on robotics; neurodevelopmental disorders such as autism spectrum disorder, attention-deficit/hyperactivity disorder and communication disorders; disease or medical conditions; and review articles.Data extraction and charting Three reviewers independently extracted data using a structured MS Excel template, covering study ML techniques, data types, feature sets, outcomes, outcome measures, data splitting and validation strategies, model performance, model explainability, key themes, clinical relevance and limitations. …”
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PERAMALAN DERET WAKTU MENGGUNAKAN MODEL FUNGSI BASIS RADIAL (RBF) DAN AUTO REGRESSIVE INTEGRATED MOVING AVERAGE (ARIMA) by DT Wiyanti, R Pulungan

“…Hal ini terlihat dalam visual plot, MAPE, dan RMSE dari semua variabel pada dua data uji coba.…”
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Postpartum changes in maternal physiology and milk composition: a comprehensive database for developing lactation physiologically-based pharmacokinetic models by Neel Deferm, Neel Deferm, Jean Dinh, Jean Dinh, Amita Pansari, Masoud Jamei, Khaled Abduljalil

“…The best-performing functions were selected through numerical and visual diagnostics.Results and DiscussionThe literature search identified 230 studies, yielding a dataset of 36,689 data points from 20,801 postpartum women, covering data from immediately after childbirth to 12 months postpartum. …”
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A Review of Research on Fruit and Vegetable Picking Robots Based on Deep Learning by Yarong Tan, Xin Liu, Jinmeng Zhang, Yigang Wang, Yanxiang Hu

“…This review summarizes the key technologies and applications of deep learning in the visual perception and target recognition, path planning and motion control, and intelligent control of end effectors of fruit and vegetable picking robots. …”
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A Novel Object Categorization Decoder from fMRI Signals Using Deep Neural Networks by Alireza Shakeripour, Zahra Bahmani, Pooriya Aghaomidi, Shima Seyed-Allaei

“…In this study, our primary aim was to categorize visual objects based on fMRI data during a natural scene viewing task. …”
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Design and Implementation of an Online Electronic Platform to Manage Education Activities in the Computer Science Department at Mosul University by Ali Modhar Yahiya, Ammar Thaher Yaseen

“… In this work, data for electronic activities of lecturers in Computer Science Department was organized using a relational database management system to exploit relations between entities for facilitating access, view, and manipulation of data developed using Microsoft Visual C# programming language to obtain an easy-to-use graphical user interface (GUI). …”
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A Multimodal Large Language Model Framework for Intelligent Perception and Decision-Making in Smart Manufacturing by Tianyu Wang, Bowen Zhang, Daqi Jiang, Dong Li

“…The system combines various data sources including images, sensor data, and production records, using advanced multimodal large language models. …”
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Desktop Application for Traceability System on The Printed Circuit Board (PCB) Storage Process by Alvin, Eko Rudiawan Jamzuri

“…The application was developed to facilitate data recording and tracking in an electronics manufacturing company's storage process of Printed Circuit Board (PCB) products. …”
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Research on Clothing Image Database Retrieval Algorithm Based on Wavelet Transform by Xiaoyue Cui

“…Firstly, it represents the color consistency vector of clothing image, reflects the composition and distribution of image color through color histogram, quantifies the visual features of clothing image, aggregates them into a fixed size representation vector, and uses the Fair Value (FV) model to complete the collection of clothing image data. …”
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Cross-Modal Insights into Urban Green Spaces Preferences by Jiayi Yan, Fan Zhang, Bing Qiu

“…Text-based data reflect users’ lived experiences and nuanced perceptions, while image data offers insights into visual appeal and spatial composition. …”
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Teknologi Opinion Mining untuk Mendukung Strategic Planning by Dwi Rolliawati, Khalid Khalid, Indri Sudanawati Rozas

“…Banjir data di era Big Data sudah tidak bisa terelakkan lagi. …”
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Designing the Forest of Tomorrow: Generating Virtual Trees with Adversarial Autoencoders by H. Hristova, C. Blattert, S. Puliti, J. Schweier

“…Employing a deep learning approach, we train models on existing 3D scanned data to produce diverse and realistic visual representations of specific tree species. …”
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Interpretable multimodal transformer for prediction of molecular subtypes and grades in adult-type diffuse gliomas by Yunsu Byeon, Yae Won Park, Soohyun Lee, Doohyun Park, HyungSeob Shin, Kyunghwa Han, Jong Hee Chang, Se Hoon Kim, Seung-Koo Lee, Sung Soo Ahn, Dosik Hwang

“…We introduce GlioMT, an interpretable multimodal transformer that integrates imaging and clinical data to predict the molecular subtype and grade of adult-type diffuse gliomas according to the 2021 WHO classification. …”
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Stimbut: Initiation of a Sustainable Business Strategy Model in Improving MSME Capability to Meet Consumer Expectations by Frendy Wibowo, Febrianur Ibnu Fitroh Sukono Putra, Muhammad Izzudien, Sulastri Sulastri

“…The analysis technique is through data collection, data reduction, data presentation, and concluding because it can explain, assess, and visualize superior MSME empowerment modeling. …”
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4D Radar Imaging and Camera Fusion for Road Crossing Detection and Classification Using Deep Learning by Liyaana Shahirah Wan Abd Aziz, Farah Nadia Mohd Isa, Faridah Abd Rahman, Arvind Hari Narayanan, Ahmad Reza Alghooneh, George Shaker

“…The fusion of radar point cloud data with visual sensor data proved effective, showing strong results in distinguishing target types. …”
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