Real-time classification of EEG signals using Machine Learning deployment by Swati CHOWDHURI, Satadip SAHA, Samadrita KARMAKAR, Ankur CHANDA

“…By monitoring the students' electroencephalography (EEG) signals and employing machine learning algorithms, this study proposes a comprehensive solution for addressing this challenge. …”
Get full text

Estimation of water storage changes in a tropical lake-floodplain system through remote sensing by Thijs de Klein, Victor Bense, Syed Mustafa

“…A collection of optical remote sensing and Synthetic Aperture Radar (SAR) scenes is used in combination with supervised classification algorithms and topographical data to derive lake volumes for the period 1984–2023, which are analyzed for trends and correlation with satellite-derived climate data. …”
Get full text

Autonomous detection of nail disorders using a hybrid capsule CNN: a novel deep learning approach for early diagnosis by Gunjan Shandilya, Sheifali Gupta, Salil Bharany, Ateeq Ur Rehman, Upinder Kaur, Hafizan Mat Som, Seada Hussen

“…The purpose of this research is to offer novel deep-learning algorithms that target the autonomous categorization of six forms of nail disorders by employing images: Blue Finger, Clubbing, Pitting, Onychogryphosis, Acral Lentiginous Melanoma, and Normal Nail or Healthy Nail Appearance. …”
Get full text

Immune Toxicity with Checkpoint Inhibition for Metastatic Melanoma: Case Series and Clinical Management by Anna J. Lomax, Jennifer Lim, Robert Cheng, Arianne Sweeting, Patricia Lowe, Neil McGill, Nicholas Shackel, Elizabeth L. Chua, Catriona McNeil

“…Toxicities may occur late; this requires vigilance and multidisciplinary management which may allow effective anticancer therapy to continue. Management algorithms for thyroiditis, hypophysitis, arthralgia/arthritis, colitis, steroid-refractory hepatitis, and skin toxicity are discussed.…”
Get full text

Multi-functional dressings for recovery and screenable treatment of wounds: A review by F. Moradifar, N. Sepahdoost, P. Tavakoli, A. Mirzapoor

“…These technologies facilitate wound observation and monitoring, as well as the evaluation and control of the healing process through various models and strategies, such as the fabrication of functional nanomaterials, computer algorithms, and artificial intelligence. This review presents an overview of the most prominent new technologies in wound dressings, along with their innovative approaches.…”
Get full text

Learning to Boost the Performance of Stable Nonlinear Systems by Luca Furieri, Clara Lucia Galimberti, Giancarlo Ferrari-Trecate

“…The growing scale and complexity of safety-critical control systems underscore the need to evolve current control architectures aiming for the unparalleled performances achievable through state-of-the-art optimization and machine learning algorithms. However, maintaining closed-loop stability while boosting the performance of nonlinear control systems using data-driven and deep-learning approaches stands as an important unsolved challenge. …”
Get full text

Vehicle Re-Identification Based on Multiple Magnetic Signatures Features Evaluation by Juozas Balamutas, Dangirutis Navikas, Vytautas Markevicius, Mindaugas Cepenas, Algimantas Valinevicius, Mindaugas Zilys, Michal Prauzek, Jaromir Konecny, Zhixiong Li, Darius Andriukaitis

“…The essence of this study revolves around a comprehensive comparison of various algorithms employed for feature extraction from registered magnetic field distortions. …”
Get full text

Improvement of organizational and methodological issues of analytical control of natural gas quality in Testing laboratory by A. F. Battalov, R. T. Saetova, Ya. V. Denisova

“…This article proposes a method for calculating the frequency of gas sampling using automated algorithms taking into account data on changes in the composition and properties of gas streams for the reporting period. …”
Get full text

Large Language Models for UAVs: Current State and Pathways to the Future by Shumaila Javaid, Hamza Fahim, Bin He, Nasir Saeed

“…Their expanding capabilities present a platform for further advancement by integrating cutting-edge computational tools like Artificial Intelligence (AI) and Machine Learning (ML) algorithms. These advancements have significantly impacted various facets of human life, fostering an era of unparalleled efficiency and convenience. …”
Get full text

Dietary Glycemic Index, Dietary Glycemic Load, Blood Lipids, and Coronary Heart Disease by Edgar Denova-Gutiérrez, Gerardo Huitrón-Bravo, Juan O. Talavera, Susana Castañón, Katia Gallegos-Carrillo, Yvonne Flores, Jorge Salmerón

“…CHD risk was estimated according to the sex-specific Framingham prediction algorithms. Results. IIn the 5,830 individuals aged 20 to 70 who were evaluated, dietary GI and GL were significantly associated with HDL-C, LDL-C, LDL-C/HDL-C ratio, and triglycerides serum levels. …”
Get full text

Evaluating machine learning models for supernova gravitational wave signal classification by Y Sultan Abylkairov, Matthew C Edwards, Daniil Orel, Ayan Mitra, Bekdaulet Shukirgaliyev, Ernazar Abdikamalov

“…We test convolutional and recurrent neural networks, as well as six classical algorithms: random forest, support vector machines, naïve Bayes(NB), logistic regression, k -nearest neighbors, and eXtreme gradient boosting. …”
Get full text

Development of data-driven algal bloom alert models with low temporal resolution data and application to Hong Kong rivers by Shujie Xu, Zhongnan Ye, Shu-Chien Hsu, Xiaoyi Liu, Chunmiao Zheng

“…New hydrological insights for the region: Models that integrate data discretization outperformed those using numerical normalization, showing higher recall scores and greater stability across selected algorithms (linear regression, support vector machine, random forest, and decision tree). …”
Get full text

COSMIC’s Large-scale Search for Technosignatures during the VLA Sky Survey: Survey Description and First Results by C. D. Tremblay, J. Sofair, L. Steffes, T. Myburgh, D. Czech, P. B. Demorest, R. A. Donnachie, A. W. Pollak, M. Ruzindana, Siemion A. P. V., S. S. Varghese, S. Z. Sheikh

“…Developing algorithms to search through data efficiently is a challenging part of searching for signs of technology beyond our solar system. …”
Get full text

Multimodal marvels of deep learning in medical diagnosis using image, speech, and text: A comprehensive review of COVID-19 detection by Md Shofiqul Islam, Khondokar Fida Hasan, Hasibul Hossain Shajeeb, Humayan Kabir Rana, Md. Saifur Rahman, Md. Munirul Hasan, AKM Azad, Ibrahim Abdullah, Mohammad Ali Moni

“…We explore the architecture of deep learning models, emphasising their data-specific structures and underlying algorithms. Subsequently, we compare different deep learning strategies utilised in COVID-19 analysis, evaluating them based on methodology, data, performance, and prerequisites for future research. …”
Get full text

Microplastics in food products: Prevalence, artificial intelligence based detection, and potential health impacts on humans by M. Amin Mir, Muhammad Azhar Ali Khan, Bimal Krishna Banik, Syed M. Hasnain, Lina Alzayer, K. Andrews, Sani I. Abba

“…The research also highlights the necessity of better detection methods, like multispectral imaging and AI-based algorithms, to increase the precision and effectiveness of microplastic identification in food. …”
Get full text

Effect of Time-of-Flight and Regularized Reconstructions on Quantitative Measurements and Qualitative Assessments in Newly Diagnosed Prostate Cancer With F-Fluorocholine Dual Time... by Spencer C. Behr MD, Brett J. Mollard MD, Jaewon Yang PhD, Robert R. Flavell MD, PhD, Randall A. Hawkins MD, PhD, Youngho Seo PhD

“…Recent technical advances in positron emission tomography/magnetic resonance imaging (PET/MRI) technology allow much improved time-of-flight (TOF) and regularized iterative PET reconstruction regularized iterative reconstruction (RIR) algorithms. We evaluated the effect of TOF and RIR on standardized uptake values (maximum and peak SUV [SUV max and SUV peak ]) and their metabolic tumor volume dependencies and visual image quality for 18 F-fluorocholine PET/MRI in patients with newly diagnosed prostate cancer. …”
Get full text

Neuroeconomically dissociable forms of mental accounting are altered in a mouse model of diabetes by Chinonso A. Nwakama, Romain Durand-de Cuttoli, Zainab M. Oketokoun, Samantha O. Brown, Jillian E. Haller, Adriana Méndez, Mohammad Jodeiri Farshbaf, Y. Zoe Cho, Sanjana Ahmed, Sophia Leng, Jessica L. Ables, Brian M. Sweis

“…These findings suggest that complex relationships between metabolic dysfunction and dissociable valuation algorithms underlying unique cognitive heuristics and sensitivity to opportunity costs can disrupt distinct computational processes leading to comorbid psychiatric vulnerabilities.…”
Get full text

An annotated high-content fluorescence microscopy dataset with EGFP-Galectin-3-stained cells and manually labelled outlineszenodo by Salma Kazemi Rashed, Malou Arvidsson, Rafsan Ahmed, Sonja Aits

“…In order to develop and benchmark algorithms and neural networks that can perform this task, high-quality datasets with annotated cell outlines are needed.We have created a dataset, named Aitslab_bioimaging2, consisting of 60 fluorescence microscopy images with EGFP-Galectin-3 labelled cells and their hand-labelled outlines. …”
Get full text

Understanding and Modeling the Dynamics of Storm‐Time Atmospheric Neutral Density Using Random Forests by K. Murphy, A. J. Halford, V. Liu, J. Klenzing, J. Smith, K. Garcia‐Sage, J. Pettit, I. J. Rae

“…Overall, this work demonstrates the importance of including geomagnetic activity in the modeling of atmospheric density and serves as a proof of concept for using machine learning algorithms to model, and in the future forecast atmospheric density for operational use.…”
Get full text

Comparison of Manual, Automatic, and Voice Control in Wheelchair Navigation Simulation in Virtual Environments: Performance Evaluation of User and Motion Sickness by Enrique Antonio Pedroza-Santiago, José Emilio Quiroz-Ibarra, Erik René Bojorges-Valdez, Miguel Ángel Padilla-Castañeda

“…Future work will explore adaptive algorithms to enhance usability and accessibility in real world applications.…”
Get full text