Fault-tolerant quantum architectures based on erasure qubits by Shouzhen Gu, Alex Retzker, Aleksander Kubica

“…We numerically estimate the memory thresholds for the circuit noise model that includes spreading (via entangling operations) and imperfect detection of erasures. Our results demonstrate that, despite being slightly more complex, QEC schemes based on erasure qubits can significantly outperform standard approaches.…”
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Nuclear Excitation of 181Ta Induced by High Power Femtosecond Laser Pulses by XU Yongsheng1, HE Chuangye1, LAN Xiaofei2, ZHAO Baozhen1

“…The results emphasize the role of laser intensity and plasma conditions in achieving efficient nuclear excitation. Additionally, the study notes the challenges in attributing specific excitation pathways due to the complex interplay of various mechanisms in the plasma environment. …”
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A Hybrid Deep Learning Approach for Skin Lesion Segmentation With Dual Encoders and Channel-Wise Attention by Asaad Ahmed, Guangmin Sun, Anas Bilal, Yu Li, Shouki A. Ebad

“…Accurate segmentation of skin lesions is essential for early detection and successful treatment, yet many current techniques struggle to balance computational efficiency with the ability to capture complex lesion features. …”
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Federated learning-based fault location and identification in hybrid AC/DC distribution systems considering bidirectional power flow by Zhonggen Xu, Lin Jiang

“…However, these systems present complex challenges for fault detection and localization due to the diversity of AC and DC fault characteristics and their intricate operational behavior. …”
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Development of a Machine‐Learning Model for Diagnosis of Pancreatic Cancer from Serum Samples Analyzed by Thermal Liquid Biopsy by Sonia Hermoso‐Durán, Nicolas Fraunhoffer, Judith Millastre‐Bocos, Oscar Sanchez‐Gracia, Pablo F. Garrido, Sonia Vega, Ángel Lanas, Juan Iovanna, Adrián Velázquez‐Campoy, Olga Abian

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Research and Experiment on a Chickweed Identification Model Based on Improved YOLOv5s by Hong Yu, Jie Zhao, Xiaobo Xi, Yongbo Li, Ying Zhao

“…This research can provide theoretical and technical support for efficient identification of weeds in complex field environments.…”
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Research on Personnel Image Segmentation Based on MobileNetV2 H-Swish CBAM PSPNet in Search and Rescue Scenarios by Di Zhao, Weiwei Zhang, Yuxing Wang

“…By substituting ResNet50 with the more efficient MobileNetV2 as the model backbone, the computational complexity is significantly reduced. …”
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Spectroscopic and Imaging Technologies Combined with Machine Learning for Intelligent Perception of Pesticide Residues in Fruits and Vegetables by Haiyan He, Zhoutao Li, Qian Qin, Yue Yu, Yuanxin Guo, Sheng Cai, Zhanming Li

“…Pesticide residues in fruits and vegetables pose a serious threat to food safety. Traditional detection methods have defects such as complex operation, high cost, and long detection time. …”
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Experimental Study on Pore Structure Quantitative Characterization and Enhanced Oil Recovery During Air/CO2 Flooding of Shale Reservoir With Online NMR by Chuanyi Tang, Meng Du, Jiaxing Liu, Lei Bai, Hui Tian, Zhihong Li, Liang Xu, Qiang Luo, Hongxian Liu, Liguo Zhou, Zhengming Yang

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Automated Quantification of Rebar Mesh Inspection in Hidden Engineering Structures via Deep Learning by Yalong Xie, Xianhui Nie, Hongliang Liu, Yifan Shen, Yuming Liu

“…This paper presents an in-depth study of the automated recognition and geometric information quantification of rebar meshes, proposing a deep learning-based method for rebar mesh detection and segmentation. By constructing a diverse rebar mesh image dataset, an improved Unet-based model was developed, incorporating residual modules to enhance the network’s feature extraction capabilities and training efficiency. …”
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RDSM: Underwater multi-AUV relay deployment and selection mechanism in 3D space by Yafei Liu, Na Liu, Hao Li, Yi Jiang, Junwu zhu

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A review on plant metabolite-mediated nanoparticle synthesis: sustainable applications in horticultural crops by Komal G. Lakhani, Rasmieh Hamid, Elaheh Motamedi, G. V. Marviya

“…Applications of these nanoparticles include nanofertilizers for efficient nutrient delivery, nanopesticides for targeted pest control, and nano-packaging to reduce post-harvest losses. …”
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Reliability Assessment and Condition Monitoring of Wind Energy Conversion Systems Using Bayesian Networks: Recent Advances and Key Insights by Fatemeh Salboukh, Yashar Mousavi, Ibrahim Beklan Kucukdemiral, Afef Fekih, Umit Cali

“…Wind energy conversion systems (WECSs) play a vital role in the transition to sustainable energy, requiring continuous advancements in reliability, efficiency, and predictive maintenance. This paper provides a comprehensive review of Bayesian Networks (BNs) as a robust probabilistic framework for enhancing fault detection, risk assessment, and condition monitoring in WECSs. …”
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Dynamic Patch-Based Sample Generation for Pulmonary Nodule Segmentation in Low-Dose CT Scans Using 3D Residual Networks for Lung Cancer Screening by Ioannis D. Marinakis, Konstantinos Karampidis, Giorgos Papadourakis, Mostefa Kara

“…HighRes3DNet is a specialized 3D convolutional neural network (CNN) architecture based on ResNet principles which uses residual connections to efficiently learn complex spatial features from 3D volumetric data. …”
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Application of Convolutional Neural Networks in Animal Husbandry: A Review by Rotimi-Williams Bello, Roseline Oluwaseun Ogundokun, Pius A. Owolawi, Etienne A. van Wyk, Chunling Tu

“…We selected relevant articles with various experimental results addressing animal detection, localization, tracking, and behavioral monitoring, validating the high-performance accuracy and efficiency of CNNs. …”
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Critical Role of Surface Properties in Passive Interstitial Fluid Extraction Using Polymeric Hollow Microneedles for Wearable Diagnostics by Ipek Atay, Emel Yilgör, Gürdeniz Neşer, Taher Abbasiasl, M. Baris Yagci, Iskender Yilgör, Levent Beker

“…Abstract Efficient sampling of dermal interstitial fluid (ISF) is essential for continuous monitoring of biomarkers for early detection and management of chronic diseases. …”
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Non-Iterative Reconstruction and Selection Network-Assisted Channel Estimation for mmWave MIMO Communications by Jing Yang, Yabo Guo, Xinying Guo, Pengpeng Wang

“…Beyond communication capabilities, these systems offer inherent advantages for integrated sensing applications, particularly in scenarios requiring precise object detection and localization. The sparse mmWave channel in the beamspace domain allows fewer radio-frequency (RF) chains by selecting dominant beams, boosting both communication efficiency and sensing resolution. …”
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Decoupling and Collaboration: An Intelligent Gateway-Based Internet of Things System Architecture for Meat Processing by Jun Liu, Chenggang Zhou, Haoyuan Wei, Jie Pi, Daoying Wang

“…This architecture is centered around an intelligently decoupled gateway design and edge-cloud collaborative intelligent meat inspection. Pork freshness detection is used as an example. In this paper, a high-precision and lightweight pork freshness detection model is developed by optimizing the MobileNetV3 model with Efficient Channel Attention (ECA). …”
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Deep Learning Techniques for Fault Diagnosis in Interconnected Systems: A Comprehensive Review and Future Directions by Nawel Said, Majdi Mansouri, Rami Al Hmouz, Atef Khedher

“…As systems in industry become increasingly interconnected and sophisticated, the task of fault detection and diagnosis becomes significantly more difficult. …”
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Development of a High-Performance Immunoaffinity Separation Technique for Rare Cell Capture by Dora Szerenyi, Paul Stolk, Jozsef Tovari, Laszlo Takacs, Andras Guttman

“…Efficiently capturing rare cells from complex biological fluids is essential in both diagnostic and therapeutic applications. …”
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