Identification of LSA Data Retrieval Method and Temporal Graph for Document Retrieval by Shahla Rezvani, Nader Naghshineh, Ahmad Khalilijafarabad

“…The field of expert finding has seen a large number of approaches proposed both in universities and in industries, using a variety of new techniques in relevant data fields. This study tends to identify information retrieval method of latent semantic analysis and temporal graph for document retrieval. …”
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Hybrid optimized data aggregation for fog computing devices in internet of things by M. Jalasri, S. Manikandan, Arthur Davis Nicholas, S. Gobimohan, Naarisetti Srinivasa Rao

“…With the increase in the devices used in an application for smooth and efficient operations, the amount of data generated is high. …”
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Electro-fermentation for biopolymers production: trends determination with bioinformatics data analysis by Chernysh Y., Bataltsev Y., Shen X.-J., Bohdanovych O., Yakhnenko O.

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Data-Driven Approaches for Predicting and Forecasting Air Quality in Urban Areas by Cosmina-Mihaela Rosca, Madalina Carbureanu, Adrian Stancu

“…The proposed solution was integrated into a web application with IoT infrastructure and real-time alert mechanisms. …”
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Multimodal Data Fusion Framework for Early Prediction of Autism Spectrum Disorder by Mohemmed Sha, Hussein Al-Dossary, Mohamudha Parveen Rahamathulla

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Predictive Modeling for Cardiovascular Disease in Patients Based on Demographic and Biometric Data by Abayomi Danlami Babalola, Kayode Francis Akingbade, Daniel Olakunle

“…Machine learning (ML) has emerged as a promising approach for CVD risk prediction, offering the potential to capture complex relationships between clinical and biometric data and patient outcomes. This study explores the application of support vector machines (SVMs), ensemble learning, and artificial neural networks (NNs) for predictive modeling of CVD in patients. …”
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Triple Filtering of Terrain Conductivity Data for Precise Tracing of Underground Utilities by Mohamed Rashed, Abdulaziz Alqarawy, Nassir Al-Amri, Riyadh Halawani, Milad Masoud, Maged El Osta

“…Finally, a virtual resolution enhancement (VRE) filter is applied to enhance the pinpointing apex of the trough. The application of the proposed filtering routine to apparent conductivity data collected using different terrain conductivity meters over different utilities in different urban environments shows a significant improvement of the data and an effective ability to reveal masked underground utilities. …”
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Automated diabetes detection prediction system based on patients’ medical data by S.V. Pidopryhora, Yu.V. Bogoyavlenska

“…This paper examines the potential and benefits of implementing machine learning (ML) and artificial intelligence (AI) algorithms for medical data analysis aimed at diabetes detection. It has been proven that the application of such technologies significantly enhances the accuracy of disease prediction and diagnosis, enabling timely identification of at-risk patients and providing necessary medical care at early stages. …”
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DTCNet: finger flexion decoding with three-dimensional ECoG data by Fufeng Wang, Zihe Luo, Wei Lv, XiaoLin Zhu

“…To address these challenges, this paper proposes a novel decoding method that transforms 2D ECoG data samples into 3D spatio-temporal spectrograms with time-stamped features via wavelet transform. …”
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Research on Multi-source Place Name Data Integration and Update Methods by S. Lin, X. Du, X. Guan, M. Xu, X. Liang, J. Chen, C. Wu, X. Zhou

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Filtering and Overlapping Data for Accuracy Enhancement of Doppler-Based Location Method by Rafał Szczepanik, Jan M. Kelner

“…The signal Doppler frequency (SDF) method, developed for dual-use applications, leverages Doppler frequency shifts (DFSs) in received signals to estimate the positions of radio transmitters. …”
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A physics-informed and data-driven framework for robotic welding in manufacturing by Jingbo Liu, Fan Jiang, Shinichi Tashiro, Shujun Chen, Manabu Tanaka

“…Abstract The development of artificial intelligence (AI)-based industrial data-driven models is the driving force behind the digital transformation of manufacturing processes and the application of smart manufacturing. …”
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Adaptive Safe Data Driven Control Strategy for Closed Loop System by Wen Ruchun

“…Due to the widely studied data driven control in today’s new big data era, this paper combines other innovative considerations into our existed contributions about data driven control, for example, adaptation, safety and switching logic together, so that an innovative adaptive safe data driven control strategy is proposed to complete its entire research from the theoretical perspectively and practical application. …”
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Data-dependent visualization of biological networks in the web-browser with NDExEdit. by Florian Auer, Simone Mayer, Frank Kramer

“…The web tool is designed to conform to the Cytoscape Exchange (CX) format as a data model, which is used for the data transmission by both tools, Cytoscape and NDEx. …”
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Recent Tools of Software-Defined Networking Traffic Generation and Data Collection by Tabarak Khudhair, Omar Athab

“…This advantage of SDN comes because of its separation of the control plane from the data plane. Although many studies have focused on SDN management, monitoring, control and improving quality of service, only a few are focused on presenting what is used to generate traffic and collect data. …”
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Data on the administrative workload and perceived administrative burden of farmers in SwitzerlandZenodo by Gabriele Mack, Christian Ritzel, Jeanine Ammann, Katja Heitkämper, Nadja El Benni

“…In the main part of the survey, we collected quantitative data on farmers’ workload and perceived burden due to (1) overall farming activities, (2) administrative activities related to the application of direct payments, and (3) other office work related to farm planning, bookkeeping, purchasing, and sales. …”
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Universal Vector Calibration for Orientation-Invariant 3D Sensor Data by Wonjoon Son, Lynn Choi

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Digital transformation in the legal sector: Challenges and opportunities for cybersecurity and data protection by Erisa Xhixho, Niiazbek Pazylov, Viktor Savchenko, Nurkhanbek Patiev, Munarym Pazylova

“…[Methodology/approach/design]The study conducted legal and comparative analysis of the regulatory framework and its application in modern conditions. Additionally, the content of reports from governmental and international organisations was examined to assess current trends in data protection and digital services. …”
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Moisture prediction in chicken litter using hyperspectral data and machine learning by Ahmad Tulsi, Abdul Momin, Victoria Ayres

“…We employed two modeling approaches: Partial Least Squares Regression (PLSR) and Extreme Gradient Boosting (XGBoost), to assess performance using raw spectral data and under three preprocessing techniques designed to enhance data quality: Moving Average (MA), Multiplicative Scatter Correction (MSC), and Standard Normal Variate (SNV). …”
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AI Innovations in Liver Transplantation: From Big Data to Better Outcomes by Eleni Avramidou, Dominik Todorov, Georgios Katsanos, Nikolaos Antoniadis, Athanasios Kofinas, Stella Vasileiadou, Konstantina-Eleni Karakasi, Georgios Tsoulfas

“…Artificial intelligence (AI) has emerged as a transformative field in computational research with diverse applications in medicine, particularly in the field of liver transplantation (LT) given its ability to analyze and build upon complex and multidimensional data. …”
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