Node Classification Method Based on Hierarchical Hypergraph Neural Network by Feng Xu, Wanyue Xiong, Zizhu Fan, Licheng Sun

“…Hypergraph neural networks have gained widespread attention due to their effectiveness in handling graph-structured data with complex relationships and multi-dimensional interactions. …”
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BIOTHREAT EARLY ASSIST AND RESPONSE COMMAND SYSTEM (BEAR-CS) by Rexhep Mustafovski, Aleksandar Risteski, Tomislav Shuminoski

“…The system represents a significant step forward in ensuring operational safety and adapting to the complex threat landscape of modern warfare.…”
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Improvement of the perovskite photodiodes performance via advanced interface engineering with polymer dielectric by Andrey P. Morozov, Lev O. Luchnikov, Sergey Yu. Yurchuk, Artur R. Ishteev, Pavel A. Gostishchev, Sergey I. Didenko, Nikita S. Saratovsky, Dmitry O. Balakirev, Ivan V. Dyadishchev, Andrey A. Romanov, Ekaterina A. Ilicheva, Anton A. Vasilev, Sergey S. Kozlov, Dmitry S. Muratov, Yuriy N. Luponosov, Danila S. Saranin

“…Halide perovskite-based photodiodes are promising for efficient detection across a broad spectral range. …”
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Research on cardiac image segmentation algorithm based on improved level set modeling by Shuaishuai ZHANG, Ruixia LIU, Ke SHAN, Zhenhua GUO

“…However, the uneven grayscale of images and the symbolic distance function in the gradient descent method lead to issues such as computational complexity and high computational cost during segmentation. …”
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SAMU-Net: A dual-stage polyp segmentation network with a custom attention-based U-Net and segment anything model for enhanced mask prediction by Radiful Islam, Rashik Shahriar Akash, Md Awlad Hossen Rony, Md Zahid Hasan

“…Early detection of colorectal cancer through the proper segmentation of polyps in the colonoscopy images is crucial. …”
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Research on Deep Integration of the “Belt and Road” Aviation Network Based on Community Structure from the Perspective of China by Hongguang Yao, Huihui Xiao

“…Air transport has broad development potential along the “ Belt and Road” by owing to its fast, direct, and comfortable advantages, and the community structure is an important factor determining the efficiency and service functions of the aviation network. …”
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Precision Weed Control Using Unmanned Aerial Vehicles and Robots: Assessing Feasibility, Bottlenecks, and Recommendations for Scaling by Shanmugam Vijayakumar, Palanisamy Shanmugapriya, Pasoubady Saravanane, Thanakkan Ramesh, Varunseelan Murugaiyan, Selvaraj Ilakkiya

“…Scaling requires advancements in weed detection and energy efficiency, development of affordable robots with shared service models, enhanced farmer training, improved rural connectivity, and precise engineering solutions. …”
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Ship Contour: A Novel Ship Instance Segmentation Method Using Deep Snake and Attention Mechanism by Chen Chen, Songtao Hu, Feng Ma, Jie Sun, Tao Lu, Bing Wu

“…This method utilizes DLA-60 (deep layer aggregation) as the core network to ensure detection accuracy and speed, and it integrates an efficient channel attention (ECA) mechanism to boost feature extraction capability. …”
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SHARP-Net: A Refined Pyramid Network for Deficiency Segmentation in Culverts and Sewer Pipes by Rasha Alshawi, Md Meftahul Ferdaus, Md Tamjidul Hoque, Kendall Niles, Ken Pathak, Steve Sloan

“…This article introduces the semantic Haar-adaptive refined pyramid network (SHARP-Net), a novel architecture for semantic segmentation that delivers precise and efficient defect detection. SHARP-Net combines multiscale feature fusion, depthwise separable convolutions, and fine-tuned Haar-like features to enhance performance while reducing computational complexity. …”
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Traffic Incident Duration Prediction: A Systematic Review of Techniques by Artur Grigorev, Adriana-Simona Mihaita, Fang Chen

“…Key challenges identified include the following: data quality issues, model interpretability, and the complexities associated with high-dimensional datasets. …”
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Extracting road maps from high-resolution satellite imagery using refined DSE-LinkNet by Prativa Das, Satish Chand

“…To address the imbalanced class distribution problem, a new aggregate loss function is proposed by integrating binary cross-entropy, Jaccard coefficient, and Lovasz sigmoid loss functions. The experiments are performed on a publicly available dataset, DeepGlobe Road Extraction Challenge 2018, to show its efficacy over the D-LinkNet, winner of DeepGlobe Challenge 2018, by achieving IoU of 0.69 with lesser number of parameters and better computational complexity.…”
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Application of double-error correction codes to protect configuration programmable logic memory against space radiation by E. S. Lepeshkina, N. D. Kustov, V. K. Khanov

“…Due to the known SEC-DED-DAEC codes having a non-zero probability of erroneous detection and subsequent erroneous correction of a double non-adjacent error, as well as various redundancy and implementation complexities, a study was made of the most efficient code for internal scrubbing.Results. …”
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Sustainable Transmitters for High-Capacity Metro-Access Networks by Stefano Gaiani, Alberto Gatto, Paola Parolari, Pierpaolo Boffi

“…The proposed VCSEL-based DM scheme appears to offer an excellent trade-off between performance and implementation complexity, supporting high throughput, high spectral efficiency, thanks to SSB-DMT modulation.…”
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The Study of Roadside Visual Perception in Internet of Vehicles Based on Improved YOLOv5 and CombineSORT by LI Xiaohui, YANG Jie, XIA Qin

“…But in practice, it is difficult to achieve both optimal detection accuracy and computational efficiency simultaneously due to limited computing resources. …”
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Design and Simulation of Magnetic Shielding Structure Based on Closed-Loop TMR Current Sensor by Qiuyang Li, Suqin Xiong, Shuo Wang, Xianguang Dong, Haifeng Zhang

“…This research provides important theoretical and practical insights for applying high-precision TMR current sensors in complex electromagnetic environments.…”
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Graph Neural Networks for Digital Pathology by Vincenzo DELLA MEA, Hafsa AKEBLI, Kevin ROITERO

“…GNNs are well-suited for analyzing data such as social networks, molecular structures, and medical images, capturing both local and global patterns. The complexity and high dimensionality of medical images make them suitable for analysis using GNNs, which can leverage the relationships between elements in the data, offering a more complex and complete analysis that can improve both the accuracy and efficiency of medical image processing tasks such as classification, segmentation, and detection of abnormalities. …”
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Image target importance recognition method based on visual model and correlation algorithm by Z. Ren, L. Huo, T. Shen, F. Kong

“…Based on the analytical results, we implement preference ranking for targets, prioritizing key objects with higher relevance weights to enhance system efficiency and accuracy.Experimental results demonstrate that the proposed method outperforms conventional object detection approaches in recognition accuracy, task relevance matching degree, and computational efficiency, validating its effectiveness and superiority in complex urban scenarios.…”
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Hearing vocals to recognize schizophrenia: speech discriminant analysis with fusion of emotions and features based on deep learning by Jie Huang, Yanli Zhao, Zhanxiao Tian, Wei Qu, Xia Du, Jie Zhang, Meng Zhang, Yunlong Tan, Zhiren Wang, Shuping Tan

“…Abstract Background and objective Accurate detection of schizophrenia poses a grand challenge as a complex and heterogeneous mental disorder. …”
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Electrochemical Immunosensors on Laser-Induced Graphene Platforms for Monitoring of Anti-RBD Antibodies After SARS-CoV-2 Infection by Beatriz R. Martins, Cristhianne Molinero R. Andrade, Guilherme F. Simão, Rhéltheer de Paula Martins, Lucas V. de Faria, Tiago A. Matias, Virmondes Rodrigues Júnior, Rodrigo Alejandro Abarza Munoz, Renata Pereira Alves

“…In this context, electrochemical biosensors present themselves as promising tools for the efficient monitoring of SARS-CoV-2 infection. We have developed a highly specific biosensor for the detection of anti-SARS-CoV-2 antibodies in patient sera. …”
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Compact classification using the biomimetic properties of ultrafast spiking microlaser neurons by Gibaek Kim, Matthieu Dubernard, Sami V El-Nakouzi, Amir-Hossein Masominia, Sylvain Barbay, Laurie E Calvet

“…This enables the training of a compact, energy efficient spiking photonic architecture that takes advantage of biomimetic properties to detect important features of the data. …”
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