Search Results - "Art Modell"

Deep residual network framework for structural health monitoring by Wang, Ruhua, Chencho, An, Senjian, Li, Jun, Li, Ling, Hao, Hong, Liu, Wan-Quan

“…The proposed framework demonstrates consistent damage prediction results on this beam with the state-of-the-art models.…”
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Flood hydrograph reconstructing for Sarawak kanan river using infoworks river simulation (RS) by Mah, Yau Seng.

“…Devastating floods in Sarawak KananRiver valley, particularly middle valley Bau area and downstream Siniawan in February 2003 and January 2004 indicated the need to study the flooding scenarios in the Sarawak Kanan River basin using state of the art modeling tools. The main purpose or this project is to develop a methodology to reconstruct flood events at Sarawak kananRiver to obtain flood hydrographs to provide explanation to the flooding of Bau and Siniawan.…”
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Accurate Facial Landmarks Detection for Frontal Faces with Extended Tree-Structured Models by Liang, Antoni, Liu, Wan-Quan, Li, Ling, Farid, M., Le, V.

“…In this paper, we aim to improve one of the current state-of-the-art models for facial components detection/localization. …”
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Review of modeling methodologies and state-of-the-art for osmotically assisted reverse osmosis membrane systems by Chong, Y. K., Li, M., Wiley, D. E., Fletcher, D. F., Liang, Yong Yeow

“…This paper reviews state-of-the-art modeling methodologies for OARO using analytical and CFD models. …”
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Real-time human action recognition using stacked sparse autoencoders by Farooq, Adnan, Mohammad, Emad U Din, Ahmad Zarir, Abdullah, Ismail, Amelia Ritahani, Sulaiman, Suriani

“…Analysis: The proposed model matched the other state of the art models applied for human-action recognition classification problems. …”
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Improved salient object detection via boundary components affinity by Nadzri, Nur Zulaikhah, Marhaban, Mohammad Hamiruce, Ahmad, Siti Anom, Ishak, Asnor Juraiza, Mohd Zin, Zalhan

“…Using the verified datasets, the performance of the proposed model was measured and compared with the 4 state-of-art models. In addition, the model performance was tested on the close contrast images. …”
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Classification of brain tumors: using deep transfer learning by Husin, Nor Azura, Husam, Mohamed, Hussin, Masnida

“…Our model outperformed the state-of-the-art model in various research articles, according to performance matrices. …”
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Learning and Fatigue Effects Revisited: The Impact of Accounting for Unobservable Preference and Scale Heterogeneity on Perceived Ordering Effects in Multiple Choice Task Discrete... by Greene, William, Czajkowski, M., Giergiczny, M.

“…We do this by utilizing the state-of-the-art modeling methods (H-MNL, S-MNL, HRPL, G-MNL) which we modify to accommodate choice task specific scale parameter. …”
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The Efficacy of Deep Learning-Based Mixed Model for Speech Emotion Recognition by Uddin, Mohammad Amaz, Chowdury, Mohammad Salah Uddin, Khandaker, Mayeen Uddin *, Tamam, Nissren, Sulieman, Abdelmoneim

“…This mixed model is found to be performed better than the usual state-of-the-art models in emotion recognition from speech. It also indicates that this mixed model could be effectively utilized in advanced research dealing with sound processing.…”
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Effective salience-based fusion model for image retrieval by Mansourian, Leila

“…After implementation, the final proposed model provided more accurate results than the other three state-of-the-art models mentioned here and 19 additional color feature extraction methods.…”
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Multi-channel response reconstruction using transformer based generative adversarial network by Zheng, Wenhao, Li, Jun, Li, Qilin, Hao, Hong

“…The effectiveness of the proposed method is further verified by comparing the reconstruction accuracy of the proposed model with those of other three state-of-the-art models. The results demonstrate that an improved performance of applying the proposed approach for dynamic structural response reconstruction is achieved and validated with in-field testing data under ambient and extreme excitation conditions.…”
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CNN-based deep learning approach for classification of invasive ductal and metastasis types of breast carcinoma by Islam, Md. Tobibul, Hoque, Md Enamul, Ullah, Mohammad, Islam, Md. Toufiqul, Nishu, Nabila Akter, Islam, Md. Rabiul

“…Therefore, it could be applied effectively in classifying IDC and metastatic cancer in comparison to other state-of-the-art models.…”
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Praktis dan hala tuju seni hibrid dalam seni kotemporari by Valerie, Anak Michael

“…The findings of hybrid art practice showed that subject matter, exploration and research are the important items to make an art piece while future of hybrid art stated art magazine and commercialization are the important elements to develop hybrid arU The findings of this study yielded a model ofhybrid art practice that portrays the complexities in creating an art piece and analyses the phenomenon of hybrid art model when the art work has a traditional or technological tendency. …”
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Towards real-world clinical colonoscopy deep learning models for video-based bowel preparation and generalisable polyp segmentation by Haithami, Mahmood

“…In this thesis, rigorous experiments are conducted to evaluate the proposed models against the state-of-the-art models. The yielded results indicate that the proposed models outperformed the state-of-the-art models under different settings.…”
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"You have to get wet to learn how to swim" applied to bridging the gap between research into personnel scheduling and its implementation in practice by Petrovic, Sanja

“…However, this still does not imply that this research has a large impact on practice and that state-of-the art models and algorithms are widely in use in organisations. …”
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Real-time personal protective equipment compliance detection using you only look once by Nurhanisah, Aminuddin, Nor Azuana, Ramli, Pratondo, Agus

“…The proposed research work employs the system of object detection from CCTV videos around the working sites of company XYZ through a framework that includes image acquisition, data collection, and video data pre-processing, with the implementation of various deep learning algorithms using state-of-the-art models such as You Only Look Once (YOLO) including YOLOv5, YOLOv7, and YOLOv8. …”
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An information retrieval model based on interaction features and neural networks / Fadel Alhassan by Fadel , Alhassan

“…The experiments results confirm the previous finding and show that, though less complex and more efficient, our model was able to outperform two baselines and give a close performance to the state-of-the-art model even without using some important IR factors like term importance.…”
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Recurrent error-based ridge polynomial neural networks for time series forecasting by Hassan Saeed, Waddah Waheeb

“…Furthermore, it was found that the proposed models outperformed many state-of-the-art models. It was concluded that the proposed models have the capability to efficiently forecast time series and that practitioners could benefit from using these forecasting models.…”
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Experimental investigation of gas lift technique in viscous fluids by Ibrahim, Abubakr

“…Second, the performance of the state of the art models is assessed against the unique experimental data generated. …”
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Enhancing generic code clone detection model for C based application by Ainun Syahirah, Adnan

“…Generic Code Clone Detection (GCCD) is the state of the art model that detects code clone up to type 4 in Java programs. …”
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