An Overview of Deep Neural Networks for Few-Shot Learning by Juan Zhao, Lili Kong, Jiancheng Lv

“…However, these methods often require extensive labeled data for optimal performance, posing challenges and high costs in practical applications. …”
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Integrating NMR and MS for Improved Metabolomic Analysis: From Methodologies to Applications by Patricia Homobono Brito de Moura, Guillaume Leleu, Grégory Da Costa, Guillaume Marti, Pierre Pétriacq, Josep Valls Fonayet, Tristan Richard

“…Recent studies increasingly employ data fusion (DF) strategies to combine the complementary information from NMR and MS, aiming to enhance metabolomic analyses. …”
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mindLAMPVis as a Co-Designed Clinician-Facing Data Visualization Portal to Integrate Clinical Observations From Digital Phenotyping in Schizophrenia: User-Centered Design Process a... by Karthik Sama, Jaya Sreevalsan-Nair, Soumya Choudhary, Srilakshmi Nagendra, Preethi V Reddy, Asher Cohen, Urvakhsh Meherwan Mehta, John Torous

“…This paper explores the process of creating a novel data visualization system for a digital mental health app and outlines the necessary steps in the process. …”
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Advanced Hybrid Machine Learning Model for Accurate Detection of Cardiovascular Disease by Navita, Pooja Mittal, Yogesh Kumar Sharma, Umesh Kumar Lilhore, Sarita Simaiya, Kashif Saleem, Ehab Seif Ghith

“…In the first stage of the proposed hybrid model, the data imbalance problem is solved using a hybrid sampling technique named Synthetic Minority Oversampling Technique-Edited Nearest Neighbors Rule. …”
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Climatic moisture conditions in the north-west of the Mid-Russian Upland during the Holocene by Elena Yu. Novenko, Andrey N. Tsyganov, Kirill V. Babeshko, Richard J. Payne, Jinlin Li, Yuri A. Mazei, Alexander V. Olchev

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Multiplex PCR assay to identify clinically important Aeromonas species by Aki Sakurai, Naoto Hosokawa, Daisuke Ohkushi, Sohei Harada, Yasufumi Matsumura, Naoya Itoh, Kazuhiro Ishikawa, Sho Saito, Takayuki Sakurai, Ryota Hase, Takehiro Hashimoto, Yohei Doi, Masahiro Suzuki

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Deformation and failure of carbon fiber composite specimens with embedded defects during tension-torsion test by Valery E. Wildemann, Tatyana V. Tretyakova, Elena M. Strungar, Mikhail P. Tretyakov

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Velocity slip impact on the squeezing flow of water–CNTs and kerosene–CNTs nanofluids over a Riga surface by Subhajit Panda, Laila A. AL-Essa, Rupa Baithalu, S.R. Mishra, Anwar Saeed

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F@BOOL@: experiment with a simple verifying compiler based on SAT-solvers by N. V. Shilov

“…The purpose of the F@BOOL@ project is to develop a transparent for users, compact and portable verifying compiler F@BOOL@ for anno- tated computational programs, that uses e®ective and sound automatic SAT-solvers (i.e. programs that check satis¯ability of prepositional Boolean formulas in the conjunctive normal form) as means of automatic validation of correctness conditions (instead of semi-automatic proof techniques). The key idea is Boolean representation of all data instead of Boolean abstraction or ¯rst-order representation. …”
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From Barriers to Breakthroughs: A Deep Dive into BIM Integration Challenges by Terfa Caleb Agwa, Tahir Celik

“…A hybrid analytical methodology, integrating the Analytical Hierarchy Process (AHP) and fuzzy Technique for Order Preference by Similarity to the Ideal Solution (TOPSIS), was used to analyze the data, because they provide a comprehensive framework for informed decision-making. …”
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Impact of 3D Digitising Technologies and Their Implementation by Paula Triviño-Tarradas, Diego Francisco García-Molina, José Ignacio Rojas-Sola

“…The optimal geometry capturing and processing 3D data techniques for a specific case are studied as well as their limitations.…”
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Enhanced Plant Leaf Classification over a Large Number of Classes Using Machine Learning by Ersin Elbasi, Ahmet E. Topcu, Elda Cina, Aymen I. Zreikat, Ahmed Shdefat, Chamseddine Zaki, Wiem Abdelbaki

“…By systematically integrating these techniques, we aim to reduce dimensionality, eliminate irrelevant or redundant features, and improve data quality. …”
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Migrant Health Country Profile tool (MHCP-t) for transforming health data collection and surveillance in the Middle East and North African (MENA) region: tool development protocol... by Farah Seedat, Bouchra Assarag, Kolitha Wickramage, Sally Hargreaves, Ana Requena-Mendez, Dominik Zenner, Anna Deal, Stella Evangelidou, Oumnia Bouaddi, Moudrick Abdellatifi, Hassan Edries, Eman Elafef, Taha Maatoug, Anissa Ouahchi, Sara Arias, Adel Abdelkhalek, Ibrahim Ahmed Bani, Kenza Hassouni, Mahmoud Hilali, Mohamed Khalis, Wejdene Mansour, Ali Mtiraoui, Hassan Chrifi, Mohamed Douagi, Abdedayem Khelifi

“…To address this problem, we aim to design and pilot test the Migrant Health Country Profile tool (MHCP-t) which can collate country-level data collection around migration health data, policies and healthcare provision.Methods and analysis The MHCP-t development is a stepwise process that will integrate a process evaluation model with active involvement and engagement of multilevel stakeholders. …”
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On the Application of a Sparse Data Observers (SDOs) Outlier Detection Algorithm to Mitigate Poisoning Attacks in UltraWideBand (UWB) Line-of-Sight (LOS)/Non-Line-of-Sight (NLOS) C... by Gianmarco Baldini

“…In the general ML domain, poisoning and adversarial attacks and the related mitigation techniques are an active area of research. Such attacks aim to hamper the ML classification process by poisoning the data set. …”
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A bibliometric analysis of industry 5.0 and healthcare supply chain research: Emerging opportunities and future challenges by Rajesh Matha, Subhodeep Mukherjee, Rashmi Ranjan Panigrahi, Avinash K Shrivastava

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Healthcare trajectories of aging individuals during their last year of life: application of process mining methods to administrative health databases by Delphine Bosson-Rieutort, Alexandra Langford-Avelar, Juliette Duc, Benjamin Dalmas

“…Process mining, a family of process management and data science techniques used to derive insights from the data generated by a process, can be a solid candidate to provide a useful tool to support decision-making. …”
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A Cloud-Based Intelligence System for Asian Rust Risk Analysis in Soybean Crops by Ricardo Alexandre Neves, Paulo Estevão Cruvinel

“…The approach also includes the use of machine learning techniques and a Markov chain algorithm for data fusion, aimed at supporting decision-making in agricultural management. …”
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Predicting Students’ Performance Using a Hybrid Machine Learning Approach by Ropafadzo Duwati, Tawanda Mudawarima

“…Learning institutions have amassed volumes of educational data from sources such as learning management systems and academic databases. …”
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Arabic paraphrased parallel synthetic datasetGitHub by Noora Al-shameri, Hend Al-Khalifa

“…The Arabic paraphrased parallel dataset plays a crucial role in advancing NLP and other language-related applications by leveraging data from diverse sources and expanding it through data augmentation techniques. …”
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A Brief Overview of Modeling Estimation of State of Health for an Electric Vehicle’s Li-Ion Batteries by Ehab H. E. Bayoumi, Michele De Santis, Hilmy Awad

“…This study addresses this gap by conducting a comprehensive evaluation of SOH prediction methods for Li-ion batteries in EV applications, encompassing direct measurement techniques, physics-based approaches, and data-driven methodologies. …”
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