CGD-CD: A Contrastive Learning-Guided Graph Diffusion Model for Change Detection in Remote Sensing Images by Yang Shang, Zicheng Lei, Keming Chen, Qianqian Li, Xinyu Zhao

“…To address these issues, we introduce a graph diffusion model into the field of CD and propose a novel network architecture called CGD-CD Net, which is driven by a structure-sensitive SSL strategy based on contrastive learning. Specifically, a superpixel segmentation algorithm is applied to bi-temporal images to construct graph nodes, while the k-nearest neighbors algorithm is used to define edge connections. …”
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Towards lightweight model using non-local-based graph convolution neural network for SQL injection detection by Duc-Chinh Nguyen, Manh-Hung Ha, Manh-Tuan Do, Oscal Tzyh-Chiang Chen

“…To address this issue, we propose a unique graph network, an innovative topology not explored previously for SQL injection detection. SQL statements are nodes, and their connections form edges in the graph. …”
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Spectrum Sensing Meets ISAC: An Spectrum Detection Scheme for ISAC Services Based on Improved Denoising Auto-Encoder and CNN by Yuebo Li, Hengguo Song, Xiaoyang Ren, Zhiyue Zhang, Sichao Cheng, Xiaojun Jing

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Intelligent Fault Detection and Self-Healing Mechanisms in Wireless Sensor Networks Using Machine Learning and Flying Fox Optimization by Almamoon Alauthman, Abeer Al-Hyari

“…WSNs play a critical role in many applications that require network reliability, such as environmental monitoring, healthcare, and industrial automation. Thus, fault detection and self-healing are two effective mechanisms for addressing the challenges of node failure, communication disruption, a energy constraints faced by WSNs. …”
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BoostPolyGlot: A Structured IR Generation-Based Fuzz Testing Framework for GCC Compiler Frontend by Hui Liu, Hanbin Guo, Peng Liu, Tongding Hou

“…When existing fuzz testing methods are applied to compiler testing, although they can detect common errors like lexical and syntax errors, there are issues such as insufficient pertinence in constructing the input corpus, limited support for structured Intermediate Representation (IR) node manipulation, and limited perfection of the mutation strategy. …”
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Improved sphere decoding algorithm based on ±1 quadratic programming by LI Zi1, CAI Yue-ming1

“…With the ±1 quadratic programming of the MIMO detection,the necessary conditions for MIMO detection op-timal solution were derived.An improved sphere decoding algorithm based on these necessary conditions was proposed.The algorithm prunes redundant nodes by necessary conditions based on the origin sphere decoding.With this pruning strategy,the complexity of algorithm is reduced significantly,while holding the bit error rate performance.…”
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Anomaly Detection Over Multi-Relational Graphs Using Graph Structure Learning and Multi-Scale Meta-Path Graph Aggregation by Chi Zhang, Junho Jeong, Jin-Woo Jung

“…To address these limitations, we introduce a graph structure learning layer designed to refine the original, noisy graph structure, enhancing the representation of node relationships. This enables our model to effectively handle inconsistencies and structural noise present in the original graph data with the augmented graph topology. …”
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A dual layer secure and energy-efficient model for border surveillance using sea lion inspired strategy in wireless sensor networks by Jayachandran J, Vimaladevi K

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MalHAPGNN: An Enhanced Call Graph-Based Malware Detection Framework Using Hierarchical Attention Pooling Graph Neural Network by Wenjie Guo, Wenbiao Du, Xiuqi Yang, Jingfeng Xue, Yong Wang, Weijie Han, Jingjing Hu

“…Firstly, to ensure semantic richness, a Bidirectional Encoder Representations from Transformers-based (BERT) attribute-enhanced function embedding method is proposed for the extraction of node attributes in the function call graph. Subsequently, this work designs a hierarchical graph neural network that integrates attention mechanisms and pooling operations, complemented by function node sampling and structural learning strategies. …”
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Diagnostic Modalities for Detecting Extrapulmonary Tuberculosis and Resistance Patterns of Rifampicin and Isoniazid at a Referral Hospital: A Retro Prospective Study by Ankur Kumar, Amresh Kumar Singh, Vivek Gaur, Ashwini Kumar Mishra, Anita Mehta, Raj Kishore Singh

“…However, global EPTB burden estimates remain inconsistent, necessitating standardized surveillance and diagnostic protocols to improve detection accuracy and inform public health strategies.…”
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Rapid equivalent simplification algorithm for complex underground mine ventilation networks by Jinzhang JIA, Wentian SHANG, Jian LIU, Lijun Deng

“…The algorithm introduces a local series and parallel subnet equivalent simplification strategy based on the nodes' in-and-out degrees and the branches' inflow and outflow nodes. …”
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Improving the spatial deployment of the soil moisture sensors in smart irrigation systems using GIS by Yasser Arafa, Abdel-Ghany M. El-Gindy, Mohammed El-Shirbeny, Mohamed Bourouah, Ahmed M. Abd-ElGawad, Younes M. Rashad, Mohamed Hafez, Mohamed A. Youssef

“…Employing the Soil-Plant-Atmosphere-Water model (SPAW), the available water-holding capacity (AWHC) for these soil samples was estimated. A sensor placement strategy was formulated, aligning with AWHC maps to detect the spatial variations at varying depths. …”
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Exploring human mutuality in cyber and physical spaces using mobile big data and network analysis by Minglei Liao, Xintao Liu

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Tailored Management of Advanced Esophageal Squamous Cell Carcinoma — Balancing Efficacy and Toxicity with a “Hold Chemotherapy and Keep Immunotherapy” Strategy: A Case Report by Yu-Chieh Lin, Jeng-Shiun Du, Chun-Chieh Wu

“…Despite initially achieving complete remission, recurrence was detected during follow-up. A ”Hold Chemotherapy and Keep Immunotherapy” strategy effectively managed advanced ESCC, balancing efficacy and toxicity while preserving quality of life.…”
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[F]PSMA-1007 PET/MR as a Precision Biomarker for Early Detection of Biochemical Recurrence in Prostate Cancer at Very Low PSA Levels by Ko-Han Lin, Tzu-Chun Wei, Shu-Huei Shen, William Ji-Shien Huang, Mei-Hua Chuang, Nan-Jing Peng, Wen-Tao Huang, Yuh-Feng Wang

“…The imaging protocol incorporated multiparametric MRI (mpMRI) and PET acquisitions, with lesion classification following PSMA-RADS version 1.0. Detection rates of recurrent lesions, including local recurrence, lymph node metastasis, and skeletal metastasis, were evaluated. …”
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Energy efficient hierarchical clustering based dynamic data fusion algorithm for wireless sensor networks in smart agriculture by Dhamodharan Srinivasan, Ajmeera Kiran, S. Parameswari, Jeevanantham Vellaichamy

“…The energy constraints of WSN nodes and the need for accurate event detection, however, make it difficult to develop reliable and efficient systems. …”
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In vitro detection of canine anti-human antibodies following intratumoral injection of the hu14.18-IL2 immunocytokine in spontaneous canine melanoma. by Andrew T Kosharek, Cindy L Zuleger, William S Glass, Jens Eickhoff, Paul M Sondel, David M Vail, Mark R Albertini

“…<h4>Conclusions</h4>This study advances CAHA detection strategies and reports the kinetics of CAHA following IT-IC in dogs with spontaneous melanoma.…”
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Wireless Sensor Network Deployment: Architecture, Objectives, and Methodologies by Frantz Tossa, Yves Faga, Wahabou Abdou, Eugène C. Ezin, Pierre Gouton

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Condition monitoring of heterogeneous landslide deformation in spatio-temporal domain using advanced graph attention network by Huajin Li, Yu Zhu, Qiang Xu, Ran Tang, Chuanhao Pu, Yusen He

“…The framework’s key innovation is its ability to detect transitions from homogeneous to heterogeneous deformation states, implementing graph-level rather than traditional node-level alarm systems. …”
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PSMA PET/CT for prostate cancer diagnosis: current applications and future directions by Zhengang Shen, Zeng Li, Yunlong Li, Xiaodi Tang, Jiayi Lu, Li Chen, Zhu Zhong Cheng, Hong Liao, Shukui Zhou

“…PSMA PET/CT demonstrated exceptional specificity for locoregional staging, ECE, and SVI while reducing unnecessary biopsies and optimizing biopsy strategies. The diagnostic accuracy for pelvic lymph node metastases was higher with PSMA PET/CT than with traditional methods, although sensitivity for micrometastasis detection remained challenging. …”
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