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

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Augmented Object Intelligence with XR-Objects by Dogan, Mustafa Doga, Gonzalez, Eric, Ahuja, Karan, Du, Ruofei, Cola?o, Andrea, Lee, Johnny, Gonzalez-Franco, Mar, Kim, David

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Robust and efficient deep learning methods for vision-based action recognition by Xu, Yuecong

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Opinion based intelligent recommender system by Adjikusuma, Sentosa

“…This project consists of two tasks, first, the development of Twitter Sentiment Visualizer, a web application that retrieve and visualize live public opinion toward certain brand names, second, integration of sentiment information on existing recommendation algorithm. …”
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Vision enhancement using artificial intelligence techniques by Yu, Xiaohan

“…This dissertation uses the concept of artificial intelligence and deep learning, with a focus on removing rainwater from heavy rain videos based on a former research published on CVPR in 2018 carried out by my supervisor. …”
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Data integration and visualization of air quality in urban environment by Sowinski-Mydlarz, Viktor, Vassilev, Vassil, Gasiorowski, Pawel

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Neural network based intelligent image analyzer and retrieval by Khoo, Jia Jun.

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Green cooperative communication techniques for intelligent transportation systems by Vinod Kumar, Mogadala, Swaminathan, Ramabadran, Roy, Rajarshi

“…The current scenario of transportation infrastructure demands the need for developing efficient intelligent transportation systems (ITS) because of the increased population, changes in population density, traffic congestion, etc. …”
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Towards a more trustworthy generative artificial intelligence by Cheong, Ben Wee Joon

“…In recent years, the rapid increase of available Generative Artificial Intelligence (AI) models has revolutionized various domains. …”
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An Artificial Intelligence-Based Industry Peer Grouping System by Bonne, George, Lo, Andrew W, Prabhakaran, Abilash, Siah, Kien Wei, Singh, Manish, Wang, Xinxin, Zangari, Peter, Zhang, Howard

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Visual event recognition in videos by learning from web data by Duan, Lixin, Xu, Dong, Tsang, Ivor Wai-Hung, Luo, Jiebo

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Generative artificial intelligence : exploring the power and potential of generative AI / by Solanki, Shivam R., author 654859, Khublani, Drupad K., author, SpringerLink (Online service)

“…It focuses on generative visual models, exploring the exciting field of transforming text into images and videos. …”
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A multimodal approach to analysis of steady state visually evoked potentials by Vij, Nikhil, Zuobin, Wu, Bjornsdotter, Malin, Dauwels, Justin, Vialatte, François-Benoît

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Focal Surface Holographic Light Transport using Learned Spatially Adaptive Convolutions by Zheng, Chuanjun, Zhan, Yicheng, Shi, Liang, Cakmakci, Ozan, Ak?it, Kaan

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Multi-sensor calibration and multi-modal perception for intelligent systems by Zhang, Jun

“…Nowadays, various intelligent systems rely on multiple heterogeneous sensors for environmental perception. …”
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NeuSE: Neural SE(3)-Equivariant Embedding for Consistent Spatial Understanding with Objects by Fu, Jiahui, Du, Yilun, Singh, Kurran, Tenenbaum, Joshua, Leonard, John

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Emerging Trends, Techniques, and Applications in Geospatial Data Science / by Gaur, Loveleen, editor 656281, Garg, Pradeep K., editor 656282, IGI Global (Online service) 631983

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Probabilistic modeling of nodal charging demand based on spatial-temporal dynamics of moving electric vehicles by Musa, Ryan Rezal

“…So, in this project, a probabilistic model based on spatial-temporal dynamics will be produced together with MATLAB, a programming software to perform the simulation of various situations in this case and then to show visually and to tell us where in the power grid system the distribution in the form of graphs and charts of the load demands at a particular charging location and at a particular time of the day. …”
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Robust deep learning methods for accountable contrast-agent-free CMR imaging in clinical applications by Gonzales, RA

OST: a heuristic-based orthogonal partitioning algorithm for dynamic hierarchical data visualization by Wang, Yan Chao, Xing, Yidan, Lin, Feng, Seah, Hock Soon, Zhang, Jie

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