Towards robust sensing and recognition : from statistical learning to transfer learning by Yang, Jianfei

“…Secondly, current domain adaptation methods require careful manual hyper-parameter tuning, which is not realistic for unmanned systems such as smart cars. …”
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Transfer-recursive-ensemble learning for multi-day COVID-19 prediction in India using recurrent neural networks by Chakraborty, Debasrita, Goswami, Debayan, Ghosh, Susmita, Ghosh, Ashish, Chan, Jonathan H., Wang, Lipo

“…This method with two countries, Spain and Bangladesh, is seen to achieve the best performance amongst all the combinations as well as compared to other traditional regression models.…”
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Modeling and optimization of photovoltaic systems under partially shaded and rapidly changing conditions by Jiang, Lian Lian

“…The proposed method eliminates the requirement for users to manually tune the control parameters of the differential evolutionary algorithms and offers better accuracy of the extracted parameters. …”
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Development of a vision-based gesture human-computer interface by Lim, Chun Ping.

“…To enhance the robustness of the system, a variant codebook method had been created to be used in skin segmentation. …”
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Deep learning for fabric defect detection by Nangia, Saniya

“…In this study, a modified StackBox ensemble method is implemented. The base models, YOLOv8 and RT-DETR, are fine-tuned on a dataset of patterned fabric defects to find the optimal model configurations. …”
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Bacterial foraging optimization algorithm in robotic cells with sequence-dependent setup times by Majumder, Arindam, Laha, Dipak, Suganthan, Ponnuthurai Nagaratnam

“…In this paper, we propose an improved discrete bacterial foraging algorithm to determine the optimal sequence of parts and robot moves in order to minimize the cycle time for the 2-machine robotic cell scheduling problem with sequence-dependent setup times. We present a method to convert the solutions from continuous to discrete form. …”
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Scaling up parametric human recovery by Cai, Zhongang

“…A critical challenge in achieving this is the prohibitive cost of acquiring large-scale, diverse datasets, which limits the accuracy and generalizability of state-of-the-art methods. To overcome this, the thesis presents a cohesive series of innovative studies aimed at resolving data scarcity. …”
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Segmentation of liver tumor from CT images by La, Cam Chung

“…One can use the rib curve as a post-processing step to fine tune the segmentation.…”
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A detailed full-order discrete-time modeling and stability prediction of the single-phase dual active bridge DC-DC converter by Iqbal, Mohammad Tauquir, Maswood, Ali Iftekhar, Tariq, Mohd, Iqbal, Atif, Verma, Vimlesh, Urooj, Shabana

“…Therefore, the conventional method is not suitable for resonant converters, including the phase-shifted bidirectional dual active bridge (PSBDAB) converter. …”
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A constrained instantaneous learning approach for aerial package delivery robots : onboard implementation and experimental results by Mehndiratta, Mohit, Kayacan, Erdal

“…Rather than utilizing a sophisticated robot which is trained—and tuned—for a scenario in a specific environment perfectly, most people are interested in seeing robots operating in various conditions where they have never been trained before. …”
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Experimental and AI-driven enhancements in gas-phase photocatalytic CO2 conversion over synthesized highly ordered anodic TiO2 nanotubes by Hossen, Md. Arif, Hasan, Md. Munirul, Ahmed, Yunus, Azrina, Abd Aziz, Nurashikin, Yaacof, Leong, Kah Hon

“…The K-fold cross-validation method was employed to fine-tune the hyperparameters of the ML models. …”
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Anomaly detection in aerosol jet printing via computer vision & machine learning by Ang, Ryan Wei Hao

“…The Aerosol Jet Printing (AJP) technique is a relatively new contactless direct write method that is being developed for the purpose of producing fine features on a diverse selection of surfaces. …”
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Delving deeper into the whorl of flower segmentation by Nilsback, M, Zisserman, A

“…</p> <br> <p>We show how the components of the algorithm can be tuned to overcome common segmentation errors, and how performance can be optimized by learning parameters on a training set.…”

Landau-Zener transitions in a superconducting flux qubit by Johansson, J., Amin, M. H. S., Berkley, A. J., Bunyk, P., Choi, V., Harris, R., Johnson, M. W., Lanting, T. M., Lloyd, Seth, Rose, G.

“…We report an experimental measurement of Landau-Zener transitions on an individual flux qubit within a multiqubit superconducting chip. The method used isolates a single qubit, tunes its tunneling amplitude Δ into the limit where Δ is much less than both the temperature T and the decoherence-induced energy level broadening, and forces it to undergo a Landau-Zener transition. …”
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Language models as hierarchy encoders by He, Y, Yuan, Z, Chen, J, Horrocks, I

“…We evaluate HITs against pre-trained LMs, standard fine-tuned LMs, and several hyperbolic embedding baselines, focusing on their capabilities in simulating transitive inference, predicting subsumptions, and transferring knowledge across hierarchies. …”

Free3D: consistent novel view synthesis without 3D representation by Zheng, C, Vedaldi, A

“…We introduce Free3D, a simple accurate method for monocular open-set novel view synthesis (NVS). …”

Refractive index sensor based on θ-shaped microfiber resonator and Vernier effect by Xu, Zhilin, Luo, Yiyang, Sun, Qizhen, Shum, Perry Ping, Wu, Zhifang, Shao, Xuguang, Liu, Deming

“…The RI sensitivity is widely tuned from 311.77nm/RIU to 2460.07nm/RIU in the experiment. …”
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Automating feature engineering in machine Learning by Zhu, Haoyu

“…Automated feature selection was also tested on wrapper methods by utilizing the Bayesian optimization method. …”
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Transmission loss analysis of a parallel-coupled Helmholtz resonator network by Zhao, Dan

“…To damp frequency-varying noise, the membrane vibration was actively tuned by implementing a trust-region Newton conjugate-gradient method. …”
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The characteristics and improvement paths of think tank construction and exchange between China and ASEAN by Zhang, Wei, Teh, Benny Cheng Guan

“…This paper adopts a qualitative analytical research method and summarizes the cooperation and exchange mode of the think tanks of China and ASEAN by examining the ranking of the think tanks of China and ASEAN and the exchange results between them. …”
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