Federated learning for privacy-enhanced mental health prediction with multimodal data integration by Parul Dubey, Pushkar Dubey, Pitshou N. Bokoro

“…The proposed framework incorporates a Convolutional Neural Network (CNN) and Long Short-Term Memory (LSTM) network within a federated learning environment, ensuring that raw user data remains decentralised and privacy is preserved using differential privacy and encryption techniques. …”
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URDD: An open dataset for urban roadway disease detection and classificationMendeley Data by Shuaiqi Liu, Wenjing Jiang, Yue Yu, Lei Ren, Chunbo Li, Qi Hu

“…Traditional road disease detection methods involve collecting road data using ground-penetrating radar and manually analyzing the data. …”
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Towards an automatized and objective assessment of data from visual inspections of building envelopes by Jan Mandinec, Pär Johansson

“…Such tools do not exist. The aim of this study is to investigate the current objectivization possibilities in the domain of building inspections. …”
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A clustering-based approach for classifying data streams using graph matching by Yuxin Du, Mingshu He, Xiaojuan Wang

“…The proposed method utilizes a graph matching approach to effectively categorize data streams in real-time scenarios. This approach aims to enhance the accuracy and efficiency of network traffic classification, particularly in the face of evolving encryption techniques and privacy-preserving measures. …”
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Identifying performance patterns in professional mixed martial arts: An exploratory data approach by Muhammad Qasthalani, Ahmad Maulana, Bonita Amelia

“…Research Objectives: This study aims to explore performance patterns among Ultimate Fighting Championship™ (UFC) fighters using Exploratory Data Analysis (EDA), uncovering trends and relationships among key performance attributes. …”
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Learning stream plot: classroom activity visualization with daily learning log data by Izumi Horikoshi, Yuko Toyokawa, Kohei Nakamura, Rwitajit Majumdar, Hiroaki Ogata

“…However, it is costly to introduce sensors into daily classroom environments, and collecting and visualizing data has always been challenging. To address this issue, this study aimed to clarify to what extent the daily learning log data from multiple learning tools can be used for classroom activity visualization. …”
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The attitude of Tomato framers in the Sharaqat district, Salaheddin province to wards use modern Agriculture technique and their relationship with some variable by Ali Ahmed Ghaidhaib, Mohammed Omer Shreef, Faras Abraheem Arhaeem

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Cervical Vertebral Maturation Assessment using various Machine Learning techniques on Lateral cephalogram: A systematic literature review by Shailendra Singh Rana, Bhola Nath, Prabhat Kumar Chaudhari, Sharvari Vichare

“…Objectives: This paper aimed to answer the question “How are machine learning techniques being employed in studies concerning cervical vertebral maturation assessment using lateral cephalograms?” …”
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Offline System for 2D Indoor Navigation Utilizing Advanced Data Structures by Jorge Luis Veloz, Leo Sebastián Intriago, Jean Carlos Palma, Andrea Katherine Alcívar-Cedeño, Álvaro Antón-Sacho, Pablo Fernández-Arias, Edwan Anderson Ariza, Diego Vergara

“…The system leverages advanced spatial modeling techniques to optimize pathfinding and resource efficiency. …”
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How does running technique change with running speed? A quantitative analysis based on practice-informed principal components by Daniel Debertin, Diego Jaén-Carrillo, Luis Enrique Roche Seruendo, Peter Federolf

“…Discussion Firstly, practice-informed and data-driven running technique measures could be developed (I). …”
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Control chart for geometrically distributed data based on Bayesian fast double bootstrap by Muhammad Yahya Matdoan, Muhammad Mashuri, Muhammad Ahsan

“…For specific conditions, such as limited data and no nonconforming items, bootstrap-based Bayesian estimators offer a computational alternative. …”
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Bridging the Gap: Missing Data Imputation Methods and Their Effect on Dementia Classification Performance by Federica Aracri, Maria Giovanna Bianco, Andrea Quattrone, Alessia Sarica

“…Inadequate handling of missing values can compromise the performance and interpretability of machine learning (ML) models. This study aimed to systematically compare the impacts of five imputation methods on classification performance using multimodal data from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). …”
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Data mining approach in detecting inaccurate financial statements in government-owned enterprises by Amra Gadžo, Mirza Suljić, Adisa Jusufović, Slađana Filipović, Erna Suljić

“…The study aims to assess the capability of various data mining techniques in detecting inaccurate financial statements of government-owned enterprises operating in the Federation of Bosnia and Herzegovina (FBiH). …”
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Weighting Variables for Transportation Assets Condition Indices Using Subjective Data Framework by Abdallah B. Al-Hamdan, Yazan Ibrahim Alatoom, Inya Nlenanya, Omar Smadi

“…This study proposes a novel framework for determining variables’ weights in transportation assets condition indices calculations using statistical and machine learning techniques. The methodology leverages subjective ratings alongside objective measurements to derive data-driven weights. …”
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One-year outcomes of a trifocal intraocular lens with glistening-free hydrophobic acrylic using the mix-and-match technique by Sungho Choi, Yoon Seong Choi, Deok Jo Nam, Sungjin Na

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Determinants of Success in Revision Cochlear Implant Surgeries: A Comprehensive Evaluation of Patient, Surgical, and Radiological Factors by Sarah Alshehri, Thikra Khalid Hamdi Alasmari

“…<b>Background/Objectives:</b> This study aims to evaluate factors influencing revision cochlear implant surgeries, including patient demographics, surgical techniques, and radiological findings. …”
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Topological Data Analysis in the Assessment of Coronary Atherosclerosis: A Comprehensive Narrative Review by Yashbir Singh, ME, PhD, Quincy A. Hathaway, MD, PhD, Colleen Farrelly, MS, Matthew J. Budoff, MD, Bradley Erickson, MD, PhD, Jeremy D. Collins, MD, Michael J. Blaha, MD, Tim Leiner, MD, PhD, Francisco Lopez-Jimenez, MD, MBA, Jennifer Rozenblit, PhD, Deepa Sarkar, PhD, Gunnar Carlsson, PhD

“…Evaluating these plaques is essential for cardiovascular risk stratification and determining the most appropriate treatment strategies. This review aimed to investigate the potential of topological data analysis (TDA), a novel technique, in assessing coronary atherosclerosis. …”
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Utilizing Remote Sensing Data to Ascertain Weed Infestation Levels in Maize Fields by Tetiana P. Fedoniuk, Petro V. Pyvovar, Pavlo P. Topolnytskyi, Oleksandr O. Rozhkov, Mykola M. Kravchuk, Oleh V. Skydan, Viktor M. Pazych, Taras V. Petruk

“…This study presents the evaluation of tools for weed analysis and management to support agroecological practices in organic farming, emphasizing agriculture digitalization, and remote sensing. The main aim was to provide techniques for monitoring and predicting weed spread using multispectral satellite and drone data, without the use of chemical inputs. …”
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Toward Privacy-Preserving Data Sharing&#x2014;An Australian Healthcare Perspective by Kimley Foster, Nectarios Costadopoulos, Arash Mahboubi, Sabih Ur Rehman, Md Zahidul Islam

“…This study examined current perspectives on data sharing, investigating the trust level in privacy preserving data sharing tools and techniques among healthcare professionals and organisations, and their openness to adopting technology for secure data sharing. …”
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Patient-reported outcomes associated with different restorative techniques in pediatric dentistry: A systematic review and MTC meta-analysis. by Nathalia Miranda Ladewig, Tamara Kerber Tedesco, Thaís Gimenez, Mariana Minatel Braga, Daniela Prócida Raggio

“…<h4>Background</h4>Despite the increasing number of studies evaluating patient reported outcome measures (PROs), there is no clearness regarding which restorative treatment offers major benefits based on the pediatric patient perspective.<h4>Aim</h4>To compare different restorative techniques in pediatric dentistry regarding patient-reported outcomes.…”
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