Is ‘Trojan Horse’ : seeing wood for the trees? by Jayakumar, Shashi

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Influence of forest plantation establishment on the hydrological characteristics of small catchments in Selangor by Shamsuddin, Siti Aisah

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A compact dual-polarized Vivaldi antenna with high gain for tree radar applications by Cheng, Kaixuan, Lee, Yee Hui, Qian, Jiwei, Lee, Daryl, Yusof, Mohamed Lokman Mohd, Yucel, Abdulkadir C.

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Prediction of international rice production using long short- term memory and machine learning models by Arya, Suraj, Anju, ., Nor Azuana, Ramli

“…This paper proposes machine learning (ML) and deep learning (DL) models like linear regression, ridge regression, random forest (RF), adaptive boosting (AdaBoost), categorical boosting (CatBoost), extreme gradient boosting (XGBoost), gradient boosting, decision tree, and long short-term memory (LSTM) to predict international rice production. …”
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Evaluation of carob tree (Ceratonia siliqua L.) pods, through three different drying techniques, and ultrasonic assisted extraction, for presence of bioactives by Hussain, Ashiq, Arif, Muhammad Rehan, Ahmed, Adnan, Laaraj, Salah, Firdous, Nida, Ali, Muhammad Qasim, Haya Fatima, ., Yaqub, Shazia, Kauser, Samina, Nisar, Rizwan, Gorsi, Faiza Iftikhar, Ud Din, Ghulam Mueen, Elfazazi, Kaoutar

“…The Mediterranean evergreen carob tree (Ceratonia siliqua L.) produces pods, that may be edible and even therapeutic. …”
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15.053 Optimization Methods in Management Science, Spring 2007 by Mamani, Hamed, Orlin, James, Metzger, Michael, Narayanaswamy, Murali

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16.410 / 16.413 Principles of Autonomy and Decision Making, Fall 2003 by Williams, Brian C., Sullivan, Greg

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16.410 / 16.413 Principles of Autonomy and Decision Making, Fall 2005 by Williams, Brian, Roy, Nicholas

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Pylon model for semantic segmentation by Lempitsky, V, Vedaldi, A, Zisserman, A

“…In the paper we show that if, instead of a flat partitioning, the image is represented by a hierarchical segmentation tree, then the resulting energy combining unary and boundary terms can still be optimized using graph cut (with all the corresponding benefits of global optimality and efficiency). …”

Effects of soil management practices on soil fauna feeding activity in an Indonesian oil palm plantation by Tao, H-H, Slade, E, Willis, KJ, Caliman, J-P, Snaddon, JL

“…Optimizing the use of available soil management practices in oil palm plantations is crucial to enhance long-term soil fertility and productivity. However, this needs a thorough understanding of the functional responses of soil biota to these management practices. …”

Marketing products and services in the dynamic environment. by Chan, Cindy Li Xia., Chye, Nyit Fhen., Poh, Hui Ting.

“…We recommended the institutionalization of Tree-shirts, a product line name and buzzword that is poised to trickle into the mainstream markets and permeate through the green industry as a household name in time. …”
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Latest Trends in Renewable Energy Technologies : Select Proceedings of NCRESE 2020 / by National Conference on Renewable Energy and Sustainable Environment (2020 : Online), organiser 642879, Vadhera, Shelly, editor 642885, Umre, Bhimrao S., editor 642886, Kalam, Akhtar, editor 495444

Precious metal price prediction using deep neural networks by Peng, Zhiling

“…In this project, the predicting model proposed by Vidya and Hari [1] is reproduced, using the long short-term memory (LSTM) network model. The results we obtain are roughly the same as those observed by Vidya and Hari. …”
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Managing oil palm plantations more sustainably : large-scale experiments within the Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) Programme by Luke, Sarah H., Advento, Andreas Dwi, Aryawan, Anak Agung Ketut, Adhy, Dwi Nugroho, Ashton-Butt, Adham, Barclay, Holly, Dewi, Jassica Prajna, Drewer, Julia, Dumbrell, Alex J., Edi, Eycott, Amy E., Harianja, Martina F., Hinsch, Julie K., Hood, Amelia S. C., Kurniawan, Candra, Kurz, David J., Mann, Darren J., Matthews Nicholass, Kirsty J., Naim, Mohammad, Pashkevich, Michael D., Prescott, Graham W., Ps, Sudharto, Pujianto, Purnomo, Dedi, Purwoko, Rizky Rajabillah, Putra, Syafrisar, Rambe, T. Dzulfikar S., Soeprapto, Spear, Dakota M., Suhardi, Tan, David J. X., Tao, Hsiao-Hang, Tarigan, Ribka Sionita, Wahyuningsih, Resti, Waters, Helen S., Widodo, Rudi Harto, Whendy, Woodham, Christopher R., Caliman, Jean-Pierre, Slade, Eleanor M., Snaddon, Jake L., Foster, William A., Turner, Edgar C.

“…In this paper we introduce the Biodiversity and Ecosystem Function in Tropical Agriculture (BEFTA) Programme: a long-term research collaboration between academia and industry in Sumatra, Indonesia. …”
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Unbiased metabolomics of volatile secondary metabolites in essential oils originated from Myrtaceae species by Manickavasagam, Ganapaty, San, Priscilla Wong Chie, Gorji, Sara Ghorbani, Sungthong, Bunleu, Yong, Yoke Keong, Fitzgerald, Melissa, Dewi, Firli Rahmah Primula, Lim, Vuanghao

“…In this study, an untargeted metabolomic approach was applied to analyze volatile secondary metabolites in five different essential oils (i.e., anise myrtle oil, honey myrtle oil, lemon myrtle oil, lemon-scented tea tree oil, and peppermint gum oil) from the Myrtaceae family, originating from the Australian bush plants. …”
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DNA computation by Wang, Qi Wen.

“…The aim is to compare the two different algorithms in terms of complexity, performance and efficiency.…”
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Mean square consensus of multi-agent systems over fading networks with directed graphs by Xu, Liang, Zheng, Jianying, Xiao, Niao, Xie, Lihua

“…It is then shown that the mean square consensusability is solely determined by the edge state dynamics on a directed spanning tree. As a result, sufficient conditions are provided for mean square consensus over fading networks with directed graphs in terms of fading parameters, the network topology and the agent dynamics. …”
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Real-time visual object classification for augmented reality by Xu, Haoran

“…Furthermore, the project also researched on implementation of a novel approach of hierarchical image classification. A tree-based multi-model system was developed with a special prediction mechanism. …”
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Detection of false data injection attacks in smart grid cyber-physical systems by Li, Beibei

“…Recent studies have investigated the possibilities of proactively detecting FmDI attacks on smart grid CPSs by using D-FACTS devices. We term this approach as proactive false data detection (PFDD). …”
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A generalized stereotypical trust model by Fang, Hui, Zhang, Jie, Sensoy, Murat, Thalmann, Nadia Magnenat

“…We then propose a fuzzy semantic decision tree (FSDT) learning method to construct trust stereotypes that generalizes over seller non-nominal attributes by splitting their values in a fuzzy manner, and generalizes over nominal attributes by replacing their specific values with more general terms according to the ontology. …”
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