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

“…The challenges AI encounters in radiography include the ‘black box’ issue, accuracy of data, technological and infrastructural complexity, ethical issues such as patient privacy and data security, overreliance on AI, and bias. …”
Get full text

Role of artificial intelligence in healthcare insurance: systematic literature review by Ahmed Ali Alkhelb, Salah Alshagrawi

“…Background: The use of artificial intelligence (AI) has been shown to enhance human life quality by making it easier, safer, and more efficient. However, there is currently limited evidence about the applicability of AI in health insurance and easing the complexity of insurance operations. …”
Get full text

Acellular porcine placental membranes as a novel biomaterial for tissue repair applications by Gustavo Henrique Doná Rodrigues Almeida, Luan Stefani Lima, Mariana Sversut Gibbin, Beatriz Lopomo, Rafael Oliveira Bergamo, Raquel Souza da Silva, Giovanna Vitória Consani Santos, Bruna Gomes Silva, Isabela Paulillo D’Onofrio, Henrique dos Santos, Lediane Pedroso Silva, Tais da Silva, Henrique Lança Fuzeti, Bianca Fuzeti Candian, Thais Naomi Gonçalves Nesiyama, João Victor Damin, Claudio Guilherme de Assis Oliveira, Lucas Paulo Jacinto Saavedra, Guilherme Henrique Gonçalves de Almeida, Douglas Lopes de Almeida, Jaqueline de Carvalho Rinaldi, Francielle Sato, Mauro Luciano Baesso, Luzmarina Hernandes, Flávio Vieira Meirelles, Rose Eli Grassi Rici, Durvanei Augusto Maria, Paulo Cezar de Freitas Mathias, Ana Claudia Oliveira Carreira, Ana Claudia Oliveira Carreira

“…Biological dressings derived from the extracellular matrix (ECM) of human placental tissues have proven effective in treating complex skin wounds and other anatomical sites, offering potential for new therapeutic applications. …”
Get full text

An Improved U-Net-Based Framework for Estimating River Surface Flow Velocity by 周继威, 安国成, 王根一

“…Objective Accurate estimation of river surface flow velocity is critical for optimizing hydropower generation efficiency and enhancing flood warning systems. Existing deep learning models face challenges in generalization due to limited training samples and data heterogeneity across complex river environments. …”
Get full text

Research on leakage hazards of embankments based on 3D electrical resistivity tomography technology by Yuehang Zhao, Risheng Wang, Tao Gao, Tao Guo, Xin Guo

“…Leakage is a common issue in reservoirs; however, accurately detecting its location and seepage diameter can be challenging owing to complex geological conditions. …”
Get full text

Utilizing GCN-Based Deep Learning for Road Extraction from Remote Sensing Images by Yu Jiang, Jiasen Zhao, Wei Luo, Bincheng Guo, Zhulin An, Yongjun Xu

“…Deep learning-based approaches have demonstrated outstanding performance in road extraction, particularly excelling in complex scenarios. However, extracting roads from remote sensing data remains challenging due to several factors that limit accuracy: (1) Roads often share similar visual features with the background, such as rooftops and parking lots, leading to ambiguous inter-class distinctions; (2) Roads in complex environments, such as those occluded by shadows or trees, are difficult to detect. …”
Get full text

Metastases of squamous cell carcinoma in the lymph nodes of the neck without the revealed primary focus by I. G. Komarov, D. A. Karseladze, A. I. Senderovich, A. I. Karseladze, K. V. Smirnova, M. A. Кrylovetskaya

“…The range of treatment methods for SCC is limited, combined and complex methods demonstrate greater efficiency, chemotherapy is less reasonable. …”
Get full text

Repeatability of Fractal Analysis in OCT Angiography of the Macula and Optic Nerve Head by Gustavo Rosa Gameiro, MD, PhD, Alessandro A. Jammal, MD, PhD, Verônica Vilasboas-Campos, MD, Jianhua Wang, MD, PhD, Felipe A. Medeiros, MD, PhD

“…OCT angiography images were processed for fractal analysis focusing on small vessels (<25 μm in diameter) within en face slabs of the superficial vascular complex (SVC), deep vascular complex (DVC), full retina, and nerve fiber layer vascular plexus (NFLVP). …”
Get full text

Performance of conventional laboratory tests and Xpert MTB/RIF in the diagnosis of tuberculosis by Natalia Zaporojan, Ramona Hodișan, Andreea Atena Zaha, Claudiu Zaporojan, Dana Carmen Zaha

“… The laboratory diagnosis of tuberculosis (TB) represents a continuous challenge due to the variability and complexity of the required clinical samples. Although molecular technologies have considerably improved diagnostic accuracy, their combined use with traditional methods like microscopy and bacterial culture remains a subject of debate. …”
Get full text

Overview of Deep Learning Algorithms and Optimizers for Brain Tumor Segmentation by Nisha Purohit, Chandi Prasad Bhatt

“…Achieved high segmentation accuracy in brain tumor detection, outperforming traditional methods with improved Dice scores, precision, and computational efficiency. …”
Get full text

Enhancing IDS for the IoMT based on advanced features selection and deep learning methods to increase the model trustworthiness. by Ahmed Muqdad Alnasrallah, Maheyzah Md Siraj, Hanan Ali Alrikabi

“…This study indicates that the proposed strategy decreases computational complexity and enhances IDS efficiency in resource-constrained IoMT environments.…”
Get full text

Entropy-Based Emotion Recognition Using EEG Signals by Yeganeh Alidoost, Babak Mohammadzadeh Asl

“…Additionally, practical applications demand a balance between reducing computational complexity and maintaining high classification accuracy. …”
Get full text

Mitigating Transmission Errors: A Forward Error Correction-Based Framework for Enhancing Objective Video Quality by Muhammad Babar Imtiaz, Rabia Kamran

“…In video transmission, maintaining high visual quality under variable network conditions, including bandwidth and efficiency, is essential for optimal viewer experience. …”
Get full text

Transformer Fault Diagnosis Based on Knowledge Distillation and Residual Convolutional Neural Networks by Haikun Shang, Yanlei Wei, Shen Zhang

“…Dissolved Gas Analysis (DGA) of transformer oil is a critical technique for transformer fault diagnosis that involves analyzing the concentration of gases to detect potential transformer faults in a timely manner. …”
Get full text

Codimension-Two Bifurcations of Fixed Points in a Class of Discrete Prey-Predator Systems by R. Khoshsiar Ghaziani, W. Govaerts, C. Sonck

“…For the bifurcation points, we compute the corresponding normal form coefficients. These quantities enable us to compute curves of codimension 1 bifurcations that branch off from the detected codimension 2 bifurcation points. …”
Get full text

Key Nodes Identification Method in Scale-Free Network Based on Structural Holes by Weiyan Liu

“…It introduces two innovations: Dynamic multi-hop bridge detection, extending beyond the 2-hop limitation of E-Burt to quantify long-range bridging influence efficiently; and a weighted fusion model balancing coreness (via MDD) and bridging roles (via structural holes) with linear time complexity.Experiments on synthetic (Barab&#x00E1;si-Albert), social (dolphin), infrastructure(Western U.S. power grid), and collaboration (co-authorship) networks demonstrate superiority. …”
Get full text

FEATURES OF FOREIGN INVESTMENT AT VARIOUS STAGES OF THE AGRIBUSINESS GLOBAL VALUE CHAIN by T. Nagachevska, N. Plastovets

“…Approaches to designing and implementing government investment policy that is aimed at maximizing efficiency of the agrarian sector by means of foreign capital inflows are outlined in the study.…”
Get full text

Low-Resolution Quantized Precoding for Multiple-Input Multiple-Output Dual-Functional Radar–Communication Systems Used for Target Sensing by Xiang Feng, Zhongqing Zhao, Jiongshi Wang, Jian Wang, Zhanfeng Zhao, Zhiquan Zhou

“…Dual-functional radar–communication systems are extensively employed for the detection and control of unmanned aerial vehicle groups and play crucial roles in scenario monitoring. …”
Get full text

MINIMAL CEREBRAL DYSFUNCTION: PREVALENCE, RISK FACTORS, CLINICAL, NEUROPHYSIOLOGICAL AND NEUROPSYCHOPHYSIOLOGICAL ASPECTS by S. Y. Lavrik, S. V. Domitrak, V. V. Shprakh

“…According to the survey of 1155 children of 2-8 years attending nurseries and schools, the prevalence of minimal cerebral dysfunction (MCD) in Irkutsk was 11,3 %on average, 14 % in toddlers, 11,8 % in preschool age and 8,3 % in the early school age. Complex clinical-neurophysiological and neuropsychophysiological research was carried out in 173 children of 2-8 years with MCD. …”
Get full text