Hybrid Cat-Transmon Architecture for Scalable, Hardware-Efficient Quantum Error Correction by Connor T. Hann, Kyungjoo Noh, Harald Putterman, Matthew H. Matheny, Joseph K. Iverson, Michael T. Fang, Christopher Chamberland, Oskar Painter, Fernando G.S.L. Brandão

“…With this level of performance, the qubit overhead required to reach algorithmically relevant logical error rates with the cat-transmon architecture matches that of an unbiased-noise architecture with physical error rates in the range 10^{−5}–10^{−4}.…”
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Robust Schnorr-based subgroup multi-signature scheme by ZHANG Zhenqi, ZHU Qiuchi, WANG Zhiwei

“…This scheme retained the advantage of low computational complexity inherent in the Schnorr digital signature cryptosystem while incorporating the benefits of subgroup multi-signature. …”
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Random Forest–Based Coal Mine Roof Displacement Prediction and Application by Hongxia Li, Rong Wu, Jianan Gao

“…The results show that the RF model has the best performance while the XGBoost model has the worst performance. …”
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Adaptive Track Association Method Based on Automatic Feature Extraction by Zhaoyue Zhang, Guanting Dong, Chenghao Huang

“…The computational results show that, compared with conventional statistical methods, the proposed methodology achieves both superior precision and recall rates while maintaining computational efficiency threefold that of traditional machine learning algorithms.…”
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Ant Colony Optimization Using Common Social Information and Self-Memory by Yoshiki Tamura, Tomoko Sakiyama, Ikuo Arizono

“…We apply the existing ACO algorithms and ASIM to some TSP benchmarks and compare the ability to solve TSP.…”
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Urban Air Mobility Vertiport’s Capacity Simulation and Analysis by Antoni Kopyt, Sebastian Dylicki

“…The framework integrates dynamic grid-based spatial management, probabilistic mission duration algorithms, and EASA-compliant operational protocols to address the infrastructural and logistical demands of high-density UAS operations. …”
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Compact embedded RF sawtooth waveform generator for particle accelerator applications by Ashish Sharma, Subrat Kar, Bhuban Kumar Sahu

“…This paper elaborates on the construction of this instrument, including the design and implementation of multiple feedback controls and complex signal processing algorithms to generate a stable sawtooth waveform. The entire design is space and resource-optimized to be hosted on a single system-on-chip field programmable gate array board, which helped reduce the development effort. …”
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Human-AI collaboration is not very collaborative yet: a taxonomy of interaction patterns in AI-assisted decision making from a systematic review by Catalina Gomez, Sue Min Cho, Shichang Ke, Chien-Ming Huang, Mathias Unberath

“…Leveraging Artificial Intelligence (AI) in decision support systems has disproportionately focused on technological advancements, often overlooking the alignment between algorithmic outputs and human expectations. A human-centered perspective attempts to alleviate this concern by designing AI solutions for seamless integration with existing processes. …”
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Automatic brake Driver Assistance System based on deep learning and fuzzy logic. by A R García-Escalante, R Q Fuentes-Aguilar, A Palma-Zubia, E Morales-Vargas

“…These systems seek to provide precise synchronization for decision-making processes and explore algorithms beyond emergency responses, enabling braking actions with short reaction times. …”
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Fruit fast tracking and recognition of apple picking robot based on improved YOLOv5 by Yao Xu, Liu Zuodong

“…Firstly, the original BottleneckCSP module in the YOLOv5 backbone network is enhanced to extract deeper features from images while maintaining lightweight. Secondly, the ECA module is embedded into the improved backbone network to better extract features of different apple targets. …”
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Assessing wildfire susceptibility in Iran: Leveraging machine learning for geospatial analysis of climatic and anthropogenic factors by Ehsan Masoudian, Ali Mirzaei, Hossein Bagheri

“…The findings revealed that climatic elements such as soil moisture, temperature, and humidity significantly contribute to wildfire susceptibility, while human activities—particularly population density and proximity to powerlines—also played a crucial role. …”
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Prediction of porosity, hardness and surface roughness in additive manufactured AlSi10Mg samples. by Fatma Alamri, Imad Barsoum, Shrinivas Bojanampati, Maher Maalouf

“…This work compares five supervised machine learning algorithms, including artificial neural networks, support vector regression, kernel ridge regression, random forest, and Lasso regression. …”
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Bone tumor recognition strategy based on object region and context representation in medical decision-making system by Yueguang Liu, Jun Liu, Tingyi Dai, Fangfang Gou

“…RCROS achieves high accuracy while maintaining low resource consumption. It reduces the time doctors spend viewing images and provides a more accurate reference for clinical decision-making.…”
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The impact of the protein interactome on the syntenic structure of mammalian genomes. by Isa Kristina Kirk, Nils Weinhold, Søren Brunak, Kirstine Belling

“…Our analyses demonstrate that subsets of syntenic blocks are associated with highly connected proteins, and that PPI connectivity can be used to detect conserved synteny even if sequence conservation drifts beyond what orthology algorithms normally can identify.…”
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BFS: A blockchain-based financing scheme for logistics company in supply chain finance by Jia Fu, Bangcan Cao, Xiaoliang Wang, Pengjie Zeng, Wei Liang, Yuzhen Liu

“…BFS utilises more efficient and interpretative smart contract technology, as well as improved privacy information query and invocation algorithms, to realise automatic control of entity node privacy information flow and significantly simplifying the steps and lowering the thresholds to financing for logistics companies, while protecting the privacy of their data. …”
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Unlocking autism’s complexity: the Move Initiative’s path to comprehensive motor function analysis by Ashley Priscilla Good, Elizabeth Horn

“…Move will make motor screenings more dynamic and longitudinal while supporting continuous assessment of targeted interventions. …”
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Hybrid neural network method for damage localization in structural health monitoring by Fatahlla Moreh, Yusuf Hasan, Zarghaam Haider Rizvi, Sven Tomforde, Frank Wuttke

“…Many existing methods for crack detection rely on deep learning algorithms or traditional approaches that typically use image data. …”
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Security-centric node identification in complex networks by Lanying Liu, Ning Du, Duyong Sheng

“…To achieve this, we develop a mathematical model to compute SC, introduce efficient algorithms for identifying critical nodes, and implement an incremental update mechanism to enhance adaptability in real-time networks. …”
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Predicting and Mapping of Soil Organic Matter with Machine Learning in the Black Soil Region of the Southern Northeast Plain of China by Yiyang Li, Gang Yao, Shuangyi Li, Xiuru Dong

“…The spatial distribution of SOM shows that higher content is concentrated in the east and west, while lower content is found in the middle. The SOM content of cultivated land was lower than that of forest land.…”
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The role of TMEM119 in gastric adenocarcinoma and its specific effects on immunity by Yating Liu, Xin Yan, Caihao Qu, Futian Tang, Qian Wang, Yumin Li

“…Additionally, CIBERSORT and ESTIMATE algorithms were applied to examine the relationship between TMEM119 expression and tumour-infiltrating immune cells, as well as the tumour microenvironment. …”
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