Items where Subject is "Z Bibliography. Library Science. Information Resources > ZR Rights Retention"

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Bate, Michael and Boehm, Soeren and Litterick, Alastair and Martin, Benjamin and Roehrle, Gerhard (2025) G-complete reducibility and saturation. Pacific Journal of Mathematics. (In Press)

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Chen, Gang and Du, Guoqiang and Yang, Chenguang and Xu, Yidong and Wu, Chuanyu and Hu, Huosheng and Dong, Fei and Zeng, Jinfeng (2025) An underwater visual SLAM system with adaptive image enhancement. Ocean Engineering, 326. p. 120896. DOI https://doi.org/10.1016/j.oceaneng.2025.120896

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Moueddene, Leïla and Fytas, Nikolaos G and Berche, Bertrand (2024) Critical and tricritical behavior of the d=3 Blume-Capel model: Results from small-scale Monte Carlo simulations. Physical Review E, 110 (6). DOI https://doi.org/10.1103/physreve.110.064144

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Raj, Aditya and Anjali, A and Singh, Vishal Krishna and Semwal, Vijay Bhaskar (2025) Mapping urban heat islands in Pune, India: ecological impacts and environmental challenges. Remote Sensing Letters, 16 (6). pp. 654-664. DOI https://doi.org/10.1080/2150704x.2025.2486319

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Sri Pothu Raju, Chintha and Laskar, Rabul Hussain and Ali, Zulfiqar and Muhammad, Ghulam (2025) Attention-based Fusion for Stroke Lesion Segmentation on Computed Tomography Perfusion Data. ACM Transactions on Multimedia Computing, Communications, and Applications, 21 (4). pp. 1-23. DOI https://doi.org/10.1145/3716632

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Wu, Lin and An, Yi and Qin, Pan and Hu, Huo-Sheng (2025) Prediction of significant wave height based on feature decomposition and enhancement. Expert Systems with Applications, 277. p. 127255. DOI https://doi.org/10.1016/j.eswa.2025.127255 (In Press)

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Yang, Huijun and Song, Hanqun and Wang, Yao-Chin and Ma, Emily (2025) Similarity-attraction theory perspective on service employees and service robots’ interactions. Service Industries Journal. DOI https://doi.org/10.1080/02642069.2025.2485972

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Zhong, Xungao and Luo, Jiaoguo and Zhong, Xunyu and Hu, Huosheng and Liu, Qiang (2025) SS-ARGNet: A Novel Cascaded Schema for Robots’ 7-DoF Grasping in Adjacent and Stacked Object Scenarios. IEEE Transactions on Instrumentation and Measurement, 74. p. 2509312. DOI https://doi.org/10.1109/tim.2025.3544720