A Data-Driven Approach for Predicting Remaining Useful Life of Semiconductor Devices Based on Machine Learning and Synthetic Data Generation: A Review and Case Study on SiC MOSFETs by Yarens J. Yarenscruz, Fernando Castano, Alberto Villalonga, Madhav Mishra, Rodolfo E. Haber

“…The proposed approach was evaluated on a silicon carbide metal-oxide-semiconductor field-effect transistor dataset. …”
Get full text

An Ensemble Learning-Based Predictive Parameterization Approach for Permanent Magnet Synchronous Machines by Sema Nur Ipek, Nur Bekiroglu, Murat Taskiran

“…An averaging voting ensemble model is developed by integrating the two highest-performing algorithms, LRNN and TRF, leveraging the strengths of both algorithms. …”
Get full text

Machine Learning in Ambient Assisted Living for Enhanced Elderly Healthcare: A Systematic Literature Review by Aabid A. Mir, Ahmad S. Khalid, Shahrulniza Musa, Mohammad Faizal Ahmad Fauzi, Normy Norfiza Abdul Razak, Tong Boon Tang

“…This systematic literature review (SLR) explores the current state and advancements in AAL technologies, with a specific focus on their applications in elderly care. It synthesizes current methodologies, including predictive analytics, Explainable AI (XAI), and Generative AI (GenAI), while also evaluating the role of vision-based systems and multi-modal data fusion. …”
Get full text

RGB-to-Infrared Translation Using Ensemble Learning Applied to Driving Scenarios by Leonardo Ravaglia, Roberto Longo, Kaili Wang, David Van Hamme, Julie Moeyersoms, Ben Stoffelen, Tom De Schepper

“…Our synthetic images exhibit good visual quality when evaluated using metrics such as <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula>, PSNR, SSIM, and LPIPS, achieving an <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><msup><mi>R</mi><mn>2</mn></msup></semantics></math></inline-formula> of 0.98 on the MS2 dataset and a PSNR of <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><mn>21.3</mn></mrow></semantics></math></inline-formula> dB on the Freiburg dataset. …”
Get full text

HI4HC and AAAAD: Exploring a hierarchical method and dataset using hybrid intelligence for remote sensing scene captioning by Jiaxin Ren, Wanzeng Liu, Jun Chen, Shunxi Yin

“…Many existing methods and datasets lack a fine-grained description of key geographical elements, fail to capture the full diversity of spatial relations, and are limited in their applicability to real-world geospatial scenarios. To address these shortcomings, we propose HI4HC (hybrid intelligence for remote sensing scene hierarchical captioning), a novel method that combines deep learning algorithms with expert knowledge to generate hierarchical captions for remote sensing scenes. …”
Get full text

Dung beetle optimizer based on mean fitness distance balance and multi-strategy fusion for solving practical engineering problems by Wanru Tang, Haoze Qin, Shuang Kang

“…To comprehensively evaluate the optimizer performance of MMDBO, experiments were conducted on the IEEE CEC2017 and CEC2022 benchmark sets, comparing it with 13 other population-based optimizer algorithms. …”
Get full text

Structural-methodical model of computer program for control of theoretical knowledge of cadets by V. V. Bulgakov

“…Basically, readymade computer programs are used, which are universal and are intended for wide application, without taking into account the specifics of Universities.Research and development of structural and methodological model was carried out with the use of theoretical analysis of the provisions of pedagogy on the problems of control, evaluation and analysis of the level of theoretical knowledge, methods of theory of algorithms and decision-making, methods of synthesis and analysis of information processes. …”
Get full text

Analysis of the Current State of Digitalization İmplementation in the Banking System of Azerbaijan by K. N. Atayev

“…Recent indexes confirm that the integration of mobile technologies, biometric identification systems, artificial intelligence algorithms, and fintech innovations has served as a significant catalyst for the transformation of this sector. …”
Get full text

Building health systems capable of leveraging AI: applying Paul Farmer’s 5S framework for equitable global health by Liam G. McCoy, Azra Bihorac, Leo Anthony Celi, Matthew Elmore, Divya Kewalramani, Teddy Kwaga, Nicole Martinez-Martin, Renata Prôa, Joel Schamroth, Jonathan D. Shaffer, Alaa Youssef, Amelia Fiske

Get full text

Assessing the Impact of the MOOC Learning Platform on the Comprehensive Development of English Teachers at College Level under “Double First-Rate” by Utilization of the SWOT Analys... by Wenjuan He

“…Then, the reliability test and the MOOC learning recommendation algorithm are used to evaluate the quality evaluation system of English teaching in the MOOC utilizing the structural equation model. …”
Get full text

First study of the RuPatient health information system with optical character recognition of medical records based on machine learning by A. A. Komkov, V. P. Mazaev, S. V. Ryazanova, D. N. Samochatov, E. V. Koshkina, E. V. Bushueva, O. M. Drapkina

“…We compared the recognition quality of RuPatient HIS and a popular optical character recognition application (FineReader for Mac).Results. …”
Get full text

An NSCT-Based Multifrequency GPR Data-Fusion Method for Concealed Damage Detection by Junfang Wang, Xiangxiong Li, Huike Zeng, Jianfu Lin, Shiming Xue, Jing Wang, Yanfeng Zhou

“…The comparison between the evaluation metrics before and after fusion demonstrates the effectiveness of the proposed fusion method. …”
Get full text

Line-Frame Combined Multi-Slit Hyperspectral Imaging System for Simplified and High-Precision UAV Remote Sensing Solution by Liangjie Huang, Xiyu Zhou, Jiamin Huang, Li Shao, Weimin Shen, Jiacheng Zhu

“…These features enable reliable reflectance measurements and high-quality hyperspectral images. A rigorous evaluation framework, including both ground-based and AAV-based experiments, is conducted to comprehensively assess system performance. …”
Get full text

Enhanced Cuckoo Search Optimization with Opposition-Based Learning for the Optimal Placement of Sensor Nodes and Enhanced Network Coverage in Wireless Sensor Networks by Mandli Rami Reddy, M. L. Ravi Chandra, Ravilla Dilli

“…The performance of ECSO-OBL is evaluated using eight benchmark functions, and the results of three cases are compared with the existing methods. …”
Get full text

Investigation with Bluetooth Sensors of Bicycle Travel Time Estimation on a Short Corridor by Zhenyu Mei, Dianhai Wang, Jun Chen

“…Test data are used to measure the quality of bicycle travel time data collected by the Bluetooth sensors, and the results show that the new technology is a promising method for collecting high-quality travel time data that can be used as ground truth for evaluating other sources of travel time and other intelligent transportation system applications.…”
Get full text

Multi-label semantic segmentation of magnetic resonance images of the prostate gland by Mark Locherer, Christopher Bonenberger, Wolfgang Ertel, Boris Hadaschik, Kristina Stumm, Markus Schneider, Jan Philipp Radtke

“…Although we trained on tiny datasets our method achieves excellent segmentation quality and is even able to detect prostate cancer. …”
Get full text

Metabolic pathway activation and immune microenvironment features in non-small cell lung cancer: insights from single-cell transcriptomics by Yanru Liu, Yanru Liu, Yanru Liu, Hanmin Liu, Hanmin Liu, Ying Xiong, Ying Xiong

“…Wet lab experiments validated the role of KRT6B in NSCLC, demonstrating that KRT6B expression is elevated and it stimulates the proliferation of cancer cells.DiscussionThese observations not only enhance our understanding of metabolic reprogramming and its biological functions in NSCLC but also provide new perspectives for early detection, prognostic evaluation, and targeted therapy. However, future research should further explore the specific mechanisms of these metabolic pathways and their application potentials in clinical practice.…”
Get full text

Investigation of deep learning image fusion techniques for medical imaging by Angayarkanni Veeraputhiran, Muthukumar Balamurugan, Varun P. Gopi

“…Experiments on the fusion of MRI and PET medical images are being conducted to evaluate performance, algorithm stability, and other parameters. …”
Get full text

Transfer learning based feature selection for feedforward neural network for speech emotion classifier by D. V. Krasnoproshin, M. I. Vashkevich

“…To evaluate the quality of the model, unweighted average recall (UAR) was used. …”
Get full text

Learning new surgical techniques in low and middle income countries, approval processes, and the impact of artificial intelligence by Long Cong Duy Tran, Long Cong Duy Tran, Helal Metwalli, Helal Metwalli, Dat Tien Le, Dat Tien Le, Samuel Amo-Afful, Samuel Amo-Afful, Mario Salib Todry Gerges, Mario Salib Todry Gerges, Hajer Hatim Hassan Ahmed, Hajer Hatim Hassan Ahmed, Dinh Thi Kim Quyen, Dinh Thi Kim Quyen, Abdelrahman Gamil Gad, Abdelrahman Gamil Gad, Phillip Tran, Nguyen Tien Huy, Nguyen Tien Huy, Nguyen Tien Huy

“…Recently, artificial intelligence (AI) has emerged as a reliable solution, providing applicable, Quantitative methods for skill development, competency evaluation and regulatory supervision. …”
Get full text