Arsenic (III) removal from water using natural sedimentary rocks by Yusof, Nur Zulaikha

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Generation, Detection, and Evaluation of Role-play based Jailbreak attacks in Large Language Models by Johnson, Zachary D.

“…Through these processes, we learn the following information, respectively. 1) Out-of-the-box models such as GPT-4 are effective at generating successful role-play jailbreak attack prompts when being generated on just a few examples via fewshot prompting. 2) We can automatically classify LLM responses as jailbroken or not with high accuracy using statistical methods including Principal Component Analysis (PCA) and Support Vector Machines (SVMs). 3) Most classification architectures are unable to perform the complex task of accurately predicting whether a role-play prompt will successfully yield a jailbreak attack. …”
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Investigation of fluorescence lifetime imaging for quantitative cervical cancer screening and diagnosis by Gu, Jun

“…Mean and standard deviation of the characteristic fluorescence lifetime were used as feature vectors to feed into a neural network extreme learning machine (ELM) classifier for discrimination. …”
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Cognizant multitasking in multiobjective multifactorial evolution : MO-MFEA-II by Bali, Kavitesh Kumar, Gupta, Abhishek, Ong, Yew-Soon, Tan, Puay Siew

“…While multitasking solvers have led to recent success stories, a known shortcoming of existing methods is their inability to adapt the extent of transfer in a principled manner. …”
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Human Centered Computing : 66th International Conference, HCC 2020, Virtual Event, December 14-15, 2020 : Revised Selected Papers / by HCC (Conference : Human Centered Computing) (6th : 2020 : Online), organiser 642973, Zu, Qiaohong, editor 642970, Tang, Yong, editor 642971, Mladenović, Vladimir, editor 642972

Modelling and characterization of membrane fouling in osmotically-driven membrane processes (ODMPs) by Lai, Li

“…Performance of neural networks bears strong relationship with learning rate, number of hidden layers and number of nodes in hidden layer. …”
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Examining diabetes management apps recommended from a Google search : content analysis by Jimenez, Geronimo, Lum, Elaine, Car, Josip

“…Objective: The objective of this study was to investigate apps identified through a Google search and characterize these apps in terms of features that support diabetes management. Methods: We performed a Google search for the “best diabetes apps 2017” and explored the first 4 search results. …”
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Energy-efficient hardware accelerators based on bit-serial graph and memory-centric computing architectures by Mu, Junjie

“…In the second half of the thesis, we propose two all-digital bit-serial computing graph-based accelerators to solve PDEs using the finite difference method (FDM) and a checkerboard grid update method. …”
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Perovskite superstructures and heterostructures for enhanced optical performance by Chan, Wen Kiat

“…In this work, MA/FA/CsPbBr3 perovskite SSs were synthesized using the more scalable and facile ligand-assisted reprecipitation (LARP) method, demonstrating both the existence of hybrid perovskite SSs and the potential of the LARP method in obtaining perovskite SSs. …”
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Efficient algorithms for subgraph counting and enumeration on large graphs by Wang, Kaixin

“…It determines the weights of edges in a data-driven fashion, using a novel method based on reinforcement learning. We conduct extensive experi- ments to verify that our technique can produce estimates with smaller errors while often running faster compared with existing algorithms. …”
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Autoencoder-Based Anomaly Detection System for Online Data Quality Monitoring of the CMS Electromagnetic Calorimeter by Abadjiev, D., Adams, T., Adzic, P., Ahmad, M., Amendola, C., Andrews, M. B., Arcidiacono, R., Argiro, S., Askew, A., Auffray, E., Azzolini, V., Bailleux, D., Band, R., Barney, D., Barria, P., Bartosik, N., Basile, C., Bastos, D., Bell, K. W., Besancon, M., Bianco, R., Biino, C., Blinov, V., Borca, C., Bornheim, A., Brown, R. M., Campana, M., Castells, S., Cavallari, F., Cetorelli, F., Chatterjee, R. M., Chatterjee, S., Chaudhary, G., Chen, J. A., Chernyavskaya, N., Chung, H., Cipriani, M., Cokic, L., Cooke, C., Cossio, F., Couderc, F., Cristoforetti, D., Cucciati, G., Cunqueiro Mendez, L., Da Silva Di Calafiori, D., Dafinei, I., Cockerill, D. J. A., Dejardin, M., Re, D. Del, Ricca, G. Della, Depasse, P., Dervan, J., Marco, E. Di, Diemoz, M., Dimova, T., Dissertori, G., Dittmar, M., Dolgopolov, A., Donegà, M., Dordevic, M., Mamouni, H. El, Errico, F., Espinosa, F., Faure, J. L., Fay, J., Menendez, J. Fernandez, Ferri, F., Finco, L., Fiori, F., Frahm, E., Funk, W., Gadek, T., Gajownik, J., Galli, M., Ganjour, S., Gascon, S., Ghezzi, A., Ghose, P., Gninenko, S., Goadhouse, S., Godinovic, N., Golubev, N., Govoni, P., Gras, P., Hakala, J., de Monchenault, G. Hamel, Harilal, A., Härringer, N., Hashmi, R., Heath, H. F., Hirosky, R., Ho, K. W., Hou, X., Ingram, Q., Jain, Sh., Javaid, T., Jessop, C., Jimènez, R., Joshi, B. M., Jourd‘hui, E., Kaadze, K., Kao, Y.-W., Kardapoltsev, L., Khurana, R., King, J., Kirilovas, A., Konstantinov, D., Kovac, M., Krishna, A., Kuo, C. M., Lambrecht, L., Lavizzari, G., Lecoq, P., Ledovskoy, A., Legger, F., Lelas, D., Li, Y. y., Liang, Z., Lin, W., Longo, E., Loukas, N., Lu, R. -S., Lustermann, W., Lutton, L., Lyon, A. -M., Maeshima, K., Malcles, J., Mandrik, P., Manzoni, R. A., Marchese, L., Marinelli, N., Marini, A. C., Martin, L., Marzocchi, B., Mascellani, A., Massironi, A., Matveev, V., Mazza, G., Meridiani, P., Mijic, M., Mijuskovic, J., Milenovic, P., Milosevic, J., Monteno, M., Monti, F., Moortgat, F., Mousa, J., Mudholkar, T., Nessi-Tedaldi, F., Nicolaou, C., Nigamova, A., Obertino, M. M., Organtini, G., Orimoto, T., Orlandi, F., Ovtin, I., Paganis, E., Papagiannis, D., Pandolfi, F., Paramatti, R., Park, K., Pastrone, N., Paulini, M., Pauss, F., Petkovic, , A., Petraityte, E., Pettinacci, V., Petyt, D., Pigazzini, S., Pinolini, B. S., Prova, P. R., Quaranta, C., Ragazzi, S., Rahatlou, S., Rasteiro Da Silva, J. C., Razis, P. A., Teles, P. Rebello, Reis, T., Riti, F., Rogan, C., Romanteau, T., Rosowsky, A., Rovelli, C., Rovere, M., Rusack, R., Salvi, G., Sancar, O., Sanchez, A., Sandever, C., Santanastasio, F., Saradhy, R., Sarkar, U., Schneider, M., Schroeder, N., Sculac, A., Sculac, T., Shahzad, M. A., Shepherd-Themistocleous, C. H., Simkina, P., Singla, A., Singovsky, A., Skovpen, Y., Smith, V. J., Soffi, L., Stachon, K., Steen, A., Steggemann, J., Succar, M., Tao, J., Tishelman-Charny, A., Tiwari, P. C., Tornago, M., Tramontano, R., Tsai, L. -S., Usai, E., Valsecchi, D., Vagnerini, A., Varela, J., Venditti, R., Verma, P., Vlassov, E., Wachirapusitanand, V., Wamorkar, T., Wang, C., Wang, J., Wadud, M. A., Yu, S. S., Zabi, A., Zghiche, A., Zhang, L., Zhu, R. Y., Zygal, L.

“…A real-time autoencoder-based anomaly detection system using semi-supervised machine learning is presented enabling the detection of anomalies in the CMS electromagnetic calorimeter data. …”
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GPU-based commonsense reasoning for real-time query answering and multimodal analysis by Tran, Ha Nguyen

“…The graph compression method converts the data graph to a weighted graph which is small enough to be maintained in GPU memory. …”
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Active Extrinsic Contact Sensing: Application to General Peg-in-Hole Insertion by Kim, Sangwoon, Rodriguez, Alberto

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Spatiotemporal saliency detection via sparse representation by Ren, Zhixiang, Gao, Shenghua, Rajan, Deepu, Chia, Clement Liang-Tien, Huang, Yun

“…Multimedia applications like retrieval, copy detection etc. can gain from saliency detection, which is essentially a method to identify areas in images and videos that capture the attention of the human visual system. …”
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Lighting transfer across multiple views through local color transforms by Zhang, Qian, Laffont, Pierre-Yves, Sim, Terence

“…We present a method for transferring lighting between photographs of a static scene. …”
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Universal Adaptive Control of Nonlinear Systems by Lopez, Brett T., Slotine, Jean-Jacques E.

“…The approach adjusts the rate of adaptation online to eliminate the effects of parameter estimation transients on stability. The method can be immediately combined with a previously designed or learned feedback policy if a corresponding model-parameterized Lyapunov function or contraction metric is known. …”
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Received signal strength based indoor positioning using a random vector functional link network by Cui, Wei, Zhang, Le, Li, Bing, Guo, Jing, Meng, Wei, Wang, Haixia, Xie, Lihua

“…Moreover, the feature selector and predictor are jointly learned iteratively in a single framework based on an augmented Lagrangian method. …”
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Graph embeddings on gene ontology annotations for protein-protein interaction prediction by Zhong, Xiaoshi, Rajapakse, Jagath Chandana

“…To address these two issues, we define two corresponding tasks, namely missing PPI prediction and spurious PPI prediction, and propose a method that employs graph embeddings that learn vector representations from constructed Gene Ontology Annotation (GOA) graphs and then use embedded vectors to achieve the two tasks. …”
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Transactional log analysis approach to evaluating an education Website by Leong, Yoke Khuan.

“…Even with limited resources, organisations could use this method to learn how their resources on the World Wide Web are serving their clientele or a particular group of clients.…”
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Visual activity monitoring : assisted child-minding home camera surveillance system by Tan, Sophia Boon Fong.

“…The main focus of this project is to develop a robust activity monitoring system which is able track and automatically recognize the activities of a child in an unsupervised environment. Codebook method is used to learn the background for foreground detection and tracking is initialized for every new foreground object detected. …”
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