Hybrid Viscosity Approaches to General Systems of Variational Inequalities with Hierarchical Fixed Point Problem Constraints in Banach Spaces by Lu-Chuan Ceng, Saleh A. Al-Mezel, Abdul Latif

“…We propose and consider hybrid implicit and explicit viscosity iterative algorithms for solving the GSVI with hierarchical fixed point problem constraint not only for a nonexpansive mapping but also for a countable family of nonexpansive mappings in X, respectively. …”
Get full text

Machine Learning-Assisted 3D Flexible Organic Transistor for High-Accuracy Metabolites Analysis and Other Clinical Applications by Caizhi Liao, Huaxing Wu, Luigi G. Occhipinti

“…This synergy not only improves diagnostic precision but also holds potential for the development of personalized diagnostics, tailoring treatments for individual metabolic profiles.…”
Get full text

SynergyAI: A Human–AI Pair Programming Tool Based on Dataflow by Le Jiang, Shingo Yamaguchi, Mohd Anuaruddin Bin Ahmadon

“…Additionally, the tool leverages comprehensive prediction algorithms and ensemble learning to simplify the operation of complex dataflows and mitigate overfitting risks. …”
Get full text

A digital measurement approach for structural condition assessment of sewers by Martins Luís Lages, Ribeiro Álvaro Silva, Almeida Maria do Céu, Brito Rita Salgado

“…The acquisition of multiple images of the observation scenario and application of the bundle adjustment technique, supported by computational algorithms dedicated to image parallel computation and clustering, is the base for the approach adopted. …”
Get full text

Detection of Autism Spectrum Disorder Using A 1-Dimensional Convolutional Neural Network by Aythem Khairi Kareem, Mohammed M. AL-Ani, Ahmed Adil Nafea

“… Autism Spectrum Disorder, also known as ASD, is a neurodevelopmental disease that impairs speech, social interaction, and behavior. …”
Get full text

Text Classification Techniques: A Holistic Review, Observational Analysis, and Experimental Investigation by Kamal Taha, Paul D. Yoo, Chan Yeun, Aya Taha

“…This review article provides a thorough assessment of modern and innovative algorithms for text classification through both observational and experimental evaluations. …”
Get full text

Diagnosis and Severity Assessment of COPD Using a Novel Fast-Response Capnometer and Interpretable Machine Learning by Leeran Talker, Cihan Dogan, Daniel Neville, Rui Hen Lim, Henry Broomfield, Gabriel Lambert, Ahmed Selim, Thomas Brown, Laura Wiffen, Julian Carter, Helen F. Ashdown, Gail Hayward, Elango Vijaykumar, Scott T. Weiss, Anoop Chauhan, Ameera X. Patel

“…A logistic regression model was also trained to distinguish GOLD 1 from GOLD 4 COPD with the output probability used as an index of severity.Results The best diagnostic model achieved an AUROC of 0.890, sensitivity of 0.771, specificity of 0.850 and positive predictive value (PPV) of 0.834. …”
Get full text

Prediction of obesity levels based on physical activity and eating habits with a machine learning model integrated with explainable artificial intelligence by Yasin Görmez, Fatma Hilal Yagin, Burak Yagin, Yalin Aygun, Hulusi Boke, Georgian Badicu, Matheus Santos De Sousa Fernandes, Abedalrhman Alkhateeb, Mahmood Basil A. Al-Rawi, Mohammadreza Aghaei, Mohammadreza Aghaei

“…Nonetheless, other models such as Decision Tree and Histogram-based Gradient Boosting also yielded strong and competitive results. The results also highlighted age, weight, height and specific food patterns as key predictors of obesity. …”
Get full text

Optimization of trusted wireless sensing models based on deep reinforcement learning for ISAC systems by Hao Zhang, Yi Jing, Wenhui Xu, Ronghui Zhang

“…As the number of edge sensing nodes increases, the likelihood of encountering untrusted nodes also rises, further limiting the performance of traditional federated learning aggregation algorithms. …”
Get full text

Research Progress and Prospects of Minimally Invasive Surgical Instrument Segmentation Methods Based on Artificial Intelligence by Weimin CHENG, Xiaohua WU, Jing XIONG

“…Given that deep learning methods have extremely high requirements for data, current data augmentation methods have also been explored. Finally, a summary and outlook on instrument segmentation technology are provided.…”
Get full text

Innovative computer vision methods for tomato (Solanum Lycopersicon) detection and cultivation: a review by L. Moldvai, A. Nyéki

“…The primary objective of this article was to present a thorough analysis of the image processing algorithms utilized in research over the past two years, along with their outcomes.…”
Get full text

Traveling Wave and Wavelet Based Fault Location Detection in Microgrids by Muhammed Oğuz Korkmaz, Ahmet Küçüker

“…With the increase in demand for renewable energysources, the use of microgrids also increases. Microgrids, compared totraditional grids, have a more complex structure and need more complex protectionfunctions. …”
Get full text

A pyramid Gaussian pooling based CNN and transformer hybrid network for smoke segmentation by Guiqian Wang, Feiniu Yuan, Hongdi Li, Zhijun Fang

“…A large number of experiments have proved that the method is significantly superior to existing state‐of‐the‐art algorithms on virtual and real smoke datasets, and ablation experiments have also verified the effectiveness of the proposed modules.…”
Get full text

Methodology of Computer Graphic Model Control for Accuracy in Forensic Land Management Expertise by D. V. Samoilenko, S. M. Salov, G. I. Bazhenova

“…The suggested technique will allow experts to track the model creation process, to verify its accuracy and the correctness of the computational algorithms of the computer program in which the simulation has been performed.…”
Get full text

Traffic Prediction Based on Online Vehicle Position Information for Simulation, Validation and Controller Resource Allocation Purposes by Rebeka Anna Jáger, Géza Szabó

“…This encompasses not only the examination of conflict resolution algorithms but also the exploration of human–machine collaboration. …”
Get full text

Siamese Denoising Autoencoders for Enhancing Adversarial Robustness in Medical Image Analysis by Jaesung Shim, Kyuri Jo

“…Experiments on Chest X-ray, Brain MRI, Retina, and Skin images, using FGSM, PGD, DeepFool, CW, SPSA, and AutoAttack adversarial algorithms, demonstrate that the Siamese-DAE, trained to remove noise, effectively eliminates perturbations, leading to improved classification accuracy compared not only to the standard classification model but also to relevant denoising defense models.…”
Get full text

A Neuro-Symbolic Framework for Tree Crown Delineation and Tree Species Classification by Ira Harmon, Ben Weinstein, Stephanie Bohlman, Ethan White, Daisy Zhe Wang

“…Not only do neuro-symbolic models perform better, but they also deal better with data scarcity, enable the direct incorporation of high-level domain knowledge, and are more explainable. …”
Get full text

The impact of artificial intelligence on the economic productivity of enterprises by Šović Milena, Brkić Ivana

“…It also analyses the challenges of implementing AI technology, such as ethical concerns, data privacy, and integration costs. …”
Get full text

Student attendance and evaluation system : A review by Sura Falih, Yaseen Ismael

“…Previous studies have explored a variety of approaches and techniques to achieve these goals, such as using RFID for automatic attendance recording, Arduino systems for automated testing, and machine learning algorithms for analyzing academic performance. However, these systems also face challenges, including financial constraints, privacy concerns, and difficulties in scalability. …”
Get full text

Multi‐function radar work mode recognition based on residual shrinkage reconstruction recurrent neural network by Lihong Wang, Kai Xie

“…However, the challenges posed by complex electromagnetic environments, such as lost pulses, spurious pulses, and measurement errors, along with the reliance of traditional multi‐task learning strategies on clean samples, make it difficult for existing algorithms to achieve satisfactory recognition performance in real‐world scenarios. …”
Get full text