Performance Evaluation of YOLOv11 and YOLOv12 Deep Learning Architectures for Automated Detection and Classification of Immature Macauba (<i>Acrocomia aculeata</i>) Fruits by David Ribeiro, Dennis Tavares, Eduardo Tiradentes, Fabio Santos, Demostenes Rodriguez

“…The public release of the VIC01 dataset and trained weights ensures reproducibility and supports future research. Our results underscore the importance of selecting architectures based on application-specific requirements, balancing detection accuracy, background discrimination, and computational constraints. …”
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SOA Services Identification and Design Methods From Business Models: A Systematic Literature Review by Redouane Blal, Abderrahmane Leshob, Hafedh Mili, Imen Benzarti, Pierre Hadaya, Raqeebir Rab

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Optimizing Cervical Cancer Diagnosis with Feature Selection and Deep Learning by Łukasz Jeleń, Izabela Stankiewicz-Antosz, Maria Chosia, Michał Jeleń

“…These reduced feature sets were evaluated using several classifiers including support vector machines and compared with CNN-based approach, highlighting differences in accuracy and precision. …”
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Insights into gender-equity in healthcare accessibility in northern Nigeria: descriptive and predictive approaches by Chika Yinka-Banjo, Olasupo Ajayi, Mary Akinyemi, David Tresner-Kirsch, Adekemi Omotubora

“…Descriptive analysis (using Pearson’s and Spearman’s correlation) and predictive analysis (using CATBoost, Random Forest, and Support Vector Machine) were done on the data. The descriptive analysis revealed that women with low income and education levels, and the elderly have a higher chance of accessing healthcare services compared to male and non-binary gender, while the predictive analysis revealed that, using machine learning models, it is possible to predict an individual’s accessibility to healthcare services with up to 81 % accuracy. …”
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Polarimetric Identification of 3D-Printed Nano Particle Encoded Optical Codes by Kavan Ahmadi, Pedro Latorre-Carmona, Bahram Javidi, Artur Carnicer

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Genetic algorithm for parameter optimization of supercapacitor model. by Filipe Menezes, Sérgio Cunha, William Assis, Allan Manito, Reinaldo Leite, Thiago Soares, Hugo Lott

“…The present work aims to estimate optimally some parameters of an electrical circuit model of a supercapacitor, in such a way as to obtain responses with very low errors and, thus, be able to use this computational electrical modeling for the development of a Digital Twin system. …”
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An Approach for Leukemia Classification Based on Cooperative Game Theory by Atefeh Torkaman, Nasrollah Moghaddam Charkari, Mahnaz Aghaeipour

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Leveraging Low-Rank Adaptation for Parameter-Efficient Fine-Tuning in Multi-Speaker Adaptive Text-to-Speech Synthesis by Changi Hong, Jung Hyuk Lee, Hong Kook Kim

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Biomarker Investigation Using Multiple Brain Measures from MRI Through Explainable Artificial Intelligence in Alzheimer’s Disease Classification by Davide Coluzzi, Valentina Bordin, Massimo W. Rivolta, Igor Fortel, Liang Zhan, Alex Leow, Giuseppe Baselli

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Bayesian-Optimized Multi-Task Gaussian Process Regression With Composite Kernels for Soybean Oil Futures Forecasting by Hui-Dong Yin, Yi-Yang Li

“…Results confirm the model&#x2019;s capacity to disentangle complex market patterns while maintaining computational tractability. This work advances agricultural price forecasting by bridging theoretical Bayesian methods with practical trading applications, offering policymakers and market participants a robust tool for hedging and supply chain optimization.…”
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Use of a convolutional neural network for direct detection of acid-fast bacilli from clinical specimens by Paul English, Muir J. Morrison, Blaine Mathison, Elizabeth Enrico, Ryan Shean, Brendan O'Fallon, Deven Rupp, Katie Knight, Alexandra Rangel, Jeffrey Gilivary, Amanda Vance, Haleina Hatch, Leo Lin, David P. Ng, Salika M. Shakir

“…While the model’s current performance requires further improvement to be clinically useful in our lab, we detail our approach and share our expertly annotated data set to support future advancements in this area. By building on our work, researchers can develop better algorithms to improve the diagnosis of AFB, reducing the burden on laboratory staff and improving diagnostic speed and accuracy of these medically important organisms.…”
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Optimizing Group Multi-Factor Authentication for Secure and Efficient IoT Device Communications by Salem AlJanah, Ning Zhang, Siok Wah Tay

“…The communication and computation overheads of the protocols are also analyzed and compared with those of IoT group authentication solutions and Kerberos. …”
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System for the Acquisition and Analysis of Maintenance Data of Railway Traffic Control Devices by Mieczysław Kornaszewski, Waldemar Nowakowski, Roman Pniewski

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An attention based hybrid approach using CNN and BiLSTM for improved skin lesion classification by Ayesha Shaik, Shivanya Shomir Dutta, Ishaan Milind Sawant, Shreyas Kumar, Ananthakrishnan Balasundaram, Kanjar De

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Early detection of Alzheimer’s disease in structural and functional MRI by Rudrani Maity, Vellupillai Mariappan Raja Sankari, Umapathy Snekhalatha, Umapathy Snekhalatha, Shubashini Velu, Tahani Jaser Alahmadi, Zaid Ali Alhababi, Hend Khalid Alkahtani

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Unmanned aerial vehicle based multi-person detection via deep neural network models by Mohammed Alshehri, Laiba Zahoor, Yahya AlQahtani, Abdulmonem Alshahrani, Dina Abdulaziz AlHammadi, Ahmad Jalal, Ahmad Jalal, Hui Liu, Hui Liu, Hui Liu

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A Unified Machine Learning Framework for Li-Ion Battery State Estimation and Prediction by Afroditi Fouka, Alexandros Bousdekis, Katerina Lepenioti, Gregoris Mentzas

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Hidden social and emotional competencies in autism spectrum disorders captured through the digital lens by Elizabeth B. Torres, Elizabeth B. Torres, Elizabeth B. Torres, Joe Vero, Neel Drain, Richa Rai, Theodoros Bermperidis

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A review of deep-learning-based models for afaan oromo fake news detection on social media networks by Kedir Lemma Arega, Kula Kekeba Tune, Asrat Mulatu Beyene, Wegderes Tariku, Nurhussen Menza Bune

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Enhanced Lightweight Quantum Key Distribution Protocol for Improved Efficiency and Security by Ashutosh Bhatia, Sainath Bitragunta, Kamlesh Tiwari

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