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. …”
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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. …”
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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. …”
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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. …”
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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. …”
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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.…”
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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. …”
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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. …”
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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. …”
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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. …”
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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 (Barabási-Albert), social (dolphin), infrastructure(Western U.S. power grid), and collaboration (co-authorship) networks demonstrate superiority. …”
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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.…”
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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. …”
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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. …”
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AI-Powered Vocalization Analysis in Poultry: Systematic Review of Health, Behavior, and Welfare Monitoring by Venkatraman Manikandan, Suresh Neethirajan

“…The investigation reveals compelling evidence for edge computing deployment via TinyML frameworks, addressing critical scalability challenges in commercial poultry environments characterized by acoustic complexity and computational constraints. Advanced applications spanning emotion recognition, disease detection, and behavioral phenotyping demonstrate unprecedented potential for real-time welfare assessment. …”
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SMoFFI-SegFormer: a novel approach for ovarian tumor segmentation based on an improved SegFormer architecture by Qiuyin Xie, Jianuo Huang, Jingyang Sun, Chenxi Huang, Caixu Xu

“…Ovarian cancer remains one of the most lethal gynecological malignancies, posing significant challenges for early detection due to its asymptomatic nature in early stages. …”
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Failure State Identification and Fault Diagnosis Method of Vibrating Screen Bolt Under Multiple Excitation of Combine Harvester by Jiaojiao Xu, Tiantian Jing, Meng Fang, Pengcheng Li, Zhong Tang

“…Bolt loosening, a critical failure mode at the joints of various working parts of combine harvesters, is a prevalent concern. The complexity and heterogeneity of vibration signals in these machines present a considerable challenge for the timely and accurate detection of bolt loosening. …”
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The role of phenolic OH groups of flavonoid compounds with H-bond formation ability to suppress amyloid mature fibrils by destabilizing β-sheet conformation of monomeric Aβ17-42. by Sahar Andarzi Gargari, Abolfazl Barzegar, Alireza Tarinejad

“…Myricetin, morin and flavone penetrated into the core of the Aβ17-42 and formed self-clusters of Aβ17-42-flavonoid complexes. Analysis of Aβ17-42-flavonoids interactions identified that the hydrophobic interactions related to SASA-dependent energy are weak in all complexes. …”
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Integration of Artificial Neural Network in a IEEE 5 BUS System by T. L. Makosso, A. Almaktoof, K. Abo-Al-Ez

“…The data collected from that phase to phase voltage fault are computed and train in the proposed model and proves the higher efficiency and ability to detect faults or abnormal disturbances. …”
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Intersection collision prediction and prevention based on vehicle-to-vehicle (V2V) and cloud computing communication by Min Zeng, Mohd Sani Mohamad Hashim, Mohd Nasir Ayob, Abdul Halim Ismail, Qiling Zang

“…In modern transportation systems, the management of traffic safety has become increasingly critical as both the number and complexity of vehicles continue to rise. These systems frequently encounter multiple challenges. …”
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