An AI-Driven Particle Filter Technology for Battery System State Estimation and RUL Prediction by Mohamed Ahwiadi, Wilson Wang

“…The main contributions of the AI-PF technique are as follows: (1) A novel dynamic sample degeneracy detection method is proposed to provide real-time assessment of particle weights so as to promptly identify degeneracy and improve computational efficiency. (2) An adaptive crossover and mutation strategy is proposed to reallocate low-weight particles and maintain particle diversity to improve modeling and RUL forecasting accuracy. …”
Get full text

The Role of Artificial Intelligence in Medical Imaging: From Diagnosis to Ethical Frontiers by Nouf Abuhadi

“…Artificial intelligence in radiology provides significant potential for enhancing diagnostic precision, efficiency, and workflow. However, its incorporation into clinical practice faces several challenges.…”
Get full text

Representation Learning of Multi-Spectral Earth Observation Time Series and Evaluation for Crop Type Classification by Andrea González-Ramírez, Clement Atzberger, Deni Torres-Roman, Josué López

“…Remote sensing (RS) spectral time series provide a substantial source of information for the regular and cost-efficient monitoring of the Earth’s surface. Important monitoring tasks include land use and land cover classification, change detection, forest monitoring and crop type identification, among others. …”
Get full text

A 79 GHz SiGe Doherty Power Amplifier Suitable for Next-Generation Automotive Radar by Jan Schoepfel, Tobias T. Braun, Julia Hellwig, Holger Rucker, Nils Pohl

“…The number of environment-detecting sensors inside cars continuously increases, to enable failsafe autonomous driving. …”
Get full text

Potential use of saliva infrared spectra and machine learning for a minimally invasive screening test for congenital syphilis in infants by Deise Cristina Dal’Ongaro, Cicero Cena, Bruno Spolon Marangoni, Daniele A. Soares-Marangoni

“…Abstract Congenital syphilis is a global public health issue, and its diagnostic complexity poses a challenge to early treatment. Fourier Transform Infrared Spectroscopy (FTIR) is a promising technological tool that facilitates the detection and diagnosis of various diseases by providing information on the biochemical composition of biofluids, including saliva. …”
Get full text

Advancing Pediatric Growth Assessment with Machine Learning: Overcoming Challenges in Early Diagnosis and Monitoring by Mauro Rodriguez-Marin, Luis Gustavo Orozco-Alatorre

“…Logistic regression is a reliable and easily interpretable model for detecting growth abnormalities in children. Unlike complex machine learning models, it offers parsimony in transparency, efficiency, and reproducibility, making it ideal for clinical settings where explainable, data-driven decisions are essential. …”
Get full text

Low-cost male urogenital simulator for penile implant surgery training: a 3D printing approach by Zixi Wang, Carlo Saija, Nicholas Raison, Abdullatif Aydin, Zhouyang Xu, Katie Zuo, Kawal Rhode, Antonia Pontiki

“…This study introduces an innovative and cost-efficient male urogenital simulator designed to enhance penile implant surgery training. …”
Get full text

Red-KPLS Feature Reduction with 1D-ResNet50: Deep Learning Approach for Multiclass Alzheimer’s Staging by Syrine Neffati, Ameni Filali, Kawther Mekki, Kais Bouzrara

“…This study introduces a computationally efficient AI framework designed to enhance AD staging using structural MRI. …”
Get full text

An Optimization Algorithm for Forward-Scatter Radar Network Node Deployment Based on BFGS and Improved NSGA-II by Yuqing Zheng, Xiaofeng Ai, Zhiming Xu, Jing Wu, Feng Zhao

“…A multi-objective optimization model was subsequently established with the objective functions of minimizing node cost and maximizing spatial detection area. Second, a method based on the Broyden–Fletcher–Goldfarb–Shanno (BFGS) algorithm was introduced to obtain the sub-optimal solution of node cost, thereby reducing the computational complexity of the optimization process. …”
Get full text

KEDM: Knowledge-Embedded Diffusion Model for Infrared Image Destriping by Lingxiao Li, Xin Wang, Dan Huang, Yunan He, Zhuqiang Zhong, Qingling Xia

“…Specifically, LDM leverages a pretrained variational autoencoder (VAE) to transform the input image into latent feature space for efficient diffusion propagation, reducing computational complexity while preserving image restoration quality. …”
Get full text

An energy-balanced multi-sensor scheduling scheme for collaborative target tracking in wireless sensor networks by Pengcheng Fu, Hongying Tang, Yongbo Cheng, Baoqing Li, Hanwang Qian, Xiaobing Yuan

“…In addition, we also design an efficient multi-sensor node collaborative method to track a single target and to timely report its state to the remote end. …”
Get full text

A comparison of statistical methods for deriving occupancy estimates from machine learning outputs by Lydia K. D. Katsis, Tessa A. Rhinehart, Elizabeth Dorgay, Emma E. Sanchez, Jake L. Snaddon, C. Patrick Doncaster, Justin Kitzes

“…In the case of a high-performance classifier and a readily detectable species, classifier-guided listening paired with a standard occupancy model provides a practical and efficient approach for accurately estimating occupancy.…”
Get full text

Exploring sustainable strategies for mitigating microplastic contamination in soil, water, and the food chain: A comprehensive analysis by Udaratta Bhattacharjee, Kamal Narayan Baruah, Maulin P. Shah

“…Further, the article suggests a cost effective, efficient, and sustainable strategy to intercept MPs infiltration in the food chain and establish practical data applicability in real-life scenarios.…”
Get full text

Comparative analysis of innovative cooling systems for Li-ion cells using carbon-graphene coatings, metal foams, and 3D printing by Luigi Sequino, Bianca Maria Vaglieco

“…However, electric vehicles operate at high working temperatures, so designers must devote considerable effort to developing efficient cooling systems. The complexity of battery-cooling solutions varies with the application: city cars, trucks, and hyper-cars require increasingly sophisticated systems. …”
Get full text

Multi-modal action recognition via advanced image fusion techniques for cyber-physical systems by Zaiyong Shou, Daoyu Zhu

“…IntroductionThe increasing complexity of cyber-physical systems (CPS) demands robust and efficient action recognition frameworks capable of seamlessly integrating multi-modal data. …”
Get full text

Implementation of MF block in CNN for advanced REB fault diagnosis by M. Pandiyan, Narendiranath Babu T.

“…Furthermore, computational complexity analysis, including FLOPs estimation, was performed to assess real-time applicability. …”
Get full text

Empowering sentiment analysis in social media: a comprehensive approach to enhance the classification of abusive Tamil comments using transformer models by Malliga Subramanian, Sathishkumar Veerappampalayam Easwaramoorthy, Nandhini Subbarayan, Usha Moorthy

“…Of the models explored, the adapter-based mDeBERTa achieved the highest accuracy of 75.393%, validating the effectiveness of parameter-efficient transfer learning for abusive language detection in low-resource, code-mixed contexts.…”
Get full text

Real-Time Progress Monitoring of Bricklaying by Ramez Magdy, Khaled A. Hamdy, Yasmeen A. S. Essawy

“…However, the level of automation and digitalization in the construction industry is still at its infancy in comparison with other industries due to the complex nature and the large size of construction projects. …”
Get full text

A functionally tunable magnetic nanochains platform for N-glycoproteomic analysis of extracellular vesicles from ultratrace biofluids by Mingyang Li, Xiaorong Song, Haixia Tu, Jie Sun, Yuanyuan Deng, Bing Wang, Yuhan Cai, Yulian Wang, Bin Li, Yue Wang, Xiangzheng Zhang, Dong Wei, Xiaoyu Yang, Yueshuai Guo, Xiang Li, Jie Gu, Jie Ni, Yifan Zhou, Zhongze Gu, Zhuoying Xie, Yan Li, Xuejiang Guo

“…Abstract Extracellular vesicles (EVs) carry complex glycoproteins critical mediators of disease progression and hold great potential for liquid biopsy applications. …”
Get full text

Using machine learning to assist decision making in the assessment of mental health patients presenting to emergency departments by Oliver Higgins, Rhonda L. Wilson, Stephan K. Chalup

“…While CatBoost showed strong predictive capabilities, its complexity poses challenges for clinical interpretation. …”
Get full text