Advanced parameter tuning scheme for double CFO based fractional order composite controller synthesis method by Siyi Chen, Yang Shu, Haiyang Kuang, Dongqi Cheng, Ying Luo

“…This method sequentially employs D-decomposition and optimization algorithms to address these challenges. Finally, by comparing it with various algorithms. …”
Get full text

Predicting student academic performance using Bi-LSTM: a deep learning framework with SHAP-based interpretability and statistical validation by Emi Kalita, Abdullah Mana Alfarwan, Houssam El Aouifi, Houssam El Aouifi, Ashima Kukkar, Sadiq Hussain, Tazid Ali, Silvia Gaftandzhieva

“…Predicting the student’s academic performance also helps to identify at-risk students and explore the possibility of providing intervention techniques.MethodsIn this paper, a deep learning model using a Bi-LSTM network is introduced to predict second term GPA.ResultsThe model had an average accuracy of 88.23% and was statistically better than traditional machine learning algorithms such as CatBoost, XGBoost, Hist Gradient Boosting, and LightGBM for accuracy, precision, recall, or F1-score metrics. …”
Get full text

A synthesis method for zero-sum mean-payoff asynchronous probabilistic games by Wei Zhao, Wanwei Liu, Zhiming Liu, Tiexin Wang

“…Next, two symbolic algorithms running in polynomial time are proposed to calculate the expected mean payoffs, and both algorithms adopt uniform random strategies. …”
Get full text

The Rise of Influencer Practices Among Psychologists: From Therapy Rooms to Instagram Reels by Burçin Sarı

“…Psychologists now strategically use the platform as a “visual curriculum vitae,” leveraging its affordances to craft micro-selling points for their self-brand. These efforts also involve negotiating with algorithms, constant optimization efforts, and projecting themselves authentically by trying not to compromise their professional demeanor. …”
Get full text

Digital culture in the light of educational processes. Ad vocem for the remarks and musings of Jordan Shapiro concerning the digital childhood by Łukasz Androsiuk, Małgorzata Obrycka

“…Digital technologies not only reshape the ways we experience the world but also redefine intergenerational relationships and fundamental educational mechanisms. …”
Get full text

Unlocking the pars plana by Aswathi Vijayan, Shabeena Basheer, Mini Mathew

“…An overview on the applied anatomy of the pars plana. Algorithms of the various drugs delivered through this route are also provided.…”
Get full text

Identification and validation of clinical phenotypes in Staphylococcus aureus blood stream infection and their association with mortality (FEN-AUREUS cohort-based study)Research in... by Belén Gutiérrez-Gutiérrez, Belén Gallego-Mesa, Achim J. Kaasch, Matthias Riediger, Siegbert Rieg, Marta Trigo, Sonsoles Salto-Alejandre, Francisco Anguita-Santos, Ángela Cano, Andrea Prolo-Acosta, Salvador López-Cárdenas, María Teresa Pérez-Rodríguez, Francisco Javier Martínez-Marcos, Esperanza Merino-Lucas, Blanca Anaya-Baz, Ana Arizcorreta, Antonio Plata-Ciézar, Marco Piscaglia, Alexandra Aceituno, Lidia Romero-Calderón, Daniel Hornuss, Aurora Alemán-Rodríguez, Adelina Gimeno-Gascón, Esther Recacha, Julián Torre-Cisneros, Nicolás Merchante, Álvaro Pascual, Luis Eduardo López-Cortés, Jesús Rodríguez-Baño

“…To facilitate clinical application, a validated open-access algorithm and calculator for phenotype and sub-phenotype assignment have been developed, enabling their use at the time of SAB confirmation. …”
Get full text

DeepISLES: a clinically validated ischemic stroke segmentation model from the ISLES'22 challenge by Ezequiel de la Rosa, Mauricio Reyes, Sook-Lei Liew, Alexandre Hutton, Roland Wiest, Johannes Kaesmacher, Uta Hanning, Arsany Hakim, Richard Zubal, Waldo Valenzuela, David Robben, Diana M. Sima, Vincenzo Anania, Arne Brys, James A. Meakin, Anne Mickan, Gabriel Broocks, Christian Heitkamp, Shengbo Gao, Kongming Liang, Ziji Zhang, Md Mahfuzur Rahman Siddiquee, Andriy Myronenko, Pooya Ashtari, Sabine Van Huffel, Hyunsu Jeong, Chiho Yoon, Chulhong Kim, Jiayu Huo, Sebastien Ourselin, Rachel Sparks, Albert Clèrigues, Arnau Oliver, Xavier Lladó, Liam Chalcroft, Ioannis Pappas, Jeroen Bertels, Ewout Heylen, Juliette Moreau, Nima Hatami, Carole Frindel, Abdul Qayyum, Moona Mazher, Domenec Puig, Shao-Chieh Lin, Chun-Jung Juan, Tianxi Hu, Lyndon Boone, Maged Goubran, Yi-Jui Liu, Susanne Wegener, Florian Kofler, Ivan Ezhov, Suprosanna Shit, Moritz R. Hernandez Petzsche, Michael Müller, Bjoern Menze, Jan S. Kirschke, Benedikt Wiestler

“…Abstract Diffusion-weighted MRI is critical for diagnosing and managing ischemic stroke, but variability in images and disease presentation limits the generalizability of AI algorithms. We present DeepISLES, a robust ensemble algorithm developed from top submissions to the 2022 Ischemic Stroke Lesion Segmentation challenge we organized. …”
Get full text

Automatic Differentiation‐Based Full Waveform Inversion With Flexible Workflows by Feng Liu, Haipeng Li, Guangyuan Zou, Junlun Li

“…The AD‐based framework not only includes forword modeling and associated gradient computations for wave equations in various types of media from isotropic acoustic to vertically or horizontally transverse isotropic elastic, but also incorporates a suite of objective functions, regularization techniques, and optimization algorithms. …”
Get full text

Cluster mapping in Spain: Exploring the correlation between industrial agglomeration and regional performance by Rudy Fernández Escobedo, Begoña Eguía Peña, Leire Aldaz Odriozola

“…e study is made at NUTS-2 level, and a total of forty-seven out of eighty-eight 2-digits codes for CNAE2009 are analyzed; ICT Index and Industry 4.0 Index are also designed and computed. A six-step methodology is applied departing from cross-industry linkages and implementing clustering algorithms; one set of clusters is elected and mapped over territory. …”
Get full text

A labeled synthetic mobile money transaction datasetMendeley Data by Denish Azamuke, Marriette Katarahweire, Engineer Bainomugisha

“…The synthesis of this dataset using MoMTSim is described in this article and its structure and summary statistics are also presented. The dataset is particularly suitable for training and testing machine learning algorithms to detect financial fraud. …”
Get full text

Study of methods for extracting contours of objects on raster images of amber samples by Yu.O. Podchashynskyi, A.V. Ryzhuk

“…The article discusses the software and algorithmic methods of selecting the contours of objects used in technical vision systems (TVS). …”
Get full text

The optimization path of agricultural industry structure and intelligent transformation by deep learning by Xingchen Pan, Jinyu Chen

“…The results demonstrate that the proposed method outperforms conventional algorithms in regression tasks, particularly in terms of computational efficiency, data processing speed, and model training stability, while also exhibiting high scalability. …”
Get full text

Performance Evaluation of Neighbors-Based Learning Methods for Network Intrusion Detection System by Ngoc Thien Nguyen

“… The rapid advancement of computer networks offers substantial benefits but also introduces growing cybersecurity risks. Cyber-attacks are increasing in both frequency and sophistication, demanding continuous improvements in security systems. …”
Get full text

Modeling and Simulation for Effectiveness Evaluation of Dynamic Discrete Military Supply Chain Networks by Biao Xiong, Bixin Li, Rong Fan, Qingzhong Zhou, Wu Li

“…In order to provide a platform for evaluating the effectiveness, simulation algorithms based on topological structure models for MSCNs are presented. …”
Get full text

Quantum natural language processing and its applications in bioinformatics: a comprehensive review of methodologies, concepts, and future directions by Gundala Pallavi, Rangarajan Prasanna Kumar

“…However, this study also acknowledges the future of QNLP in bioinformatics in the discussion of the challenges and weaknesses of quantum hardware, data representation, encoding, and the construction and enhancement of the algorithms. …”
Get full text

Blood-based biomarkers in patients with non-small cell lung cancer treated with immune checkpoint blockade by Yo-Ting Tsai, Jeffrey Schlom, Renee N. Donahue

“…Integration of multiple blood-based biomarkers into comprehensive panels or algorithms also has the potential to enhance predictive accuracy. …”
Get full text

Determination of Pear Cultivars (Pyrus communis L.) Based on Colour Change Levels by Using Data Mining by Dilara Gerdan, Abdullah Beyaz, Mustafa Vatandaş

“…The relationship between fruit hardness and colour change were also demonstrated. The predictions were done supervised machine learning algorithms (Decision Tree and Neural Networks with Meta-Learning Techniques; Majority Voting and Random Forest) by using KNIME Analytics software. …”
Get full text

A graphical modelling approach to the dissection of highly correlated transcription factor binding site profiles. by Robert Stojnic, Audrey Qiuyan Fu, Boris Adryan

“…Overlaps in TF binding profiles may also result from measurements taken at closely related time intervals. …”
Get full text

Comparative study of the selected methods of laryngeal tone determination by W. Wszołek, M. Kłaczyński

“…The parameters of the laryngeal tone also contain some features that are useful in the medical diagnosis and therapy. …”
Get full text