Optimization strategies for federated learning by Zhang, Tinghao

“…However, due to intractable interaction among multiple variables, stringent constraints, and the necessity to optimize multiple objectives concurrently, developing effective device scheduling and resource allocation algorithms for FL is challenging. This thesis proposes three frameworks to effectively handle the optimization aspect of FL. …”
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Deep Reinforcement Learning in complex environments by Nardelli, N

“…We show that the modules enable learning to plan when the environment also includes stochastic elements, providing a cost-efficient learning system to build low-level size-invariant planners for a variety of interactive, hard navigation problems. Thirdly, and lastly, we present a novel RL benchmark based on one of the oldest and most complex video games ever developed: the NetHack Learning Environment (NLE). …”

Quantitative analysis of coronary artery from computed tomography angiography images by Cui, Hengfei

“…The subvoxel precise centerlines are shown to be reliable and accurate. At last, an accurate and reproducible coronary artery cross sectional lumen area measurement algorithm at sub-voxel accuracy from human cardiac CTA images is developed. …”
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Performance enhancement and size reduction of near-eye display by Cheng, Qijia

“…The trend of developing high-resolution NED with small form-factor is with no doubt. During the last several decades, attempts were made to improve the resolution of NED. …”
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Essays on merchant-generated contents and merchant-to-merchant spillovers in e-commerce platform by Zhang, Xueli

“…Second, I use a residual learning framework, ResNet-50, combining with a special neural network structure, Siamese neural network, to recognize images, and choose the second-to-last layer of the network, containing 512 features, as “deep features”. …”
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Micro electro mechanical systems (MEMS) enabled digital pen by Tan, Joel Qi Zhi

“…The averaged data were then imported into MATLAB for further processing. Lastly, navigation algorithms were looked into to determine the best algorithm for use with the digital pen. …”
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Detection of false data injection attacks in smart grid cyber-physical systems by Li, Beibei

“…Neighboring HMs make use of the majority voting algorithm based on a set of predefined normal behavior rules to identify the existence of abnormal measurement data collected by PMUs. …”
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Nonlinear regression approach for GPS multipath mitigation : from code to carrier-phase measurements by Phan, Quoc Huy

“…Multipath, where GPS signals arrive by more than one path and thereby create a range error, has remained the long-lasting major error source in GPS solutions although having been a target of the GPS research community since the day the system started operating. …”
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Adversarial robustness of deep reinforcement learning by Qu, Xinghua

“…Our frame-correlation transfers dramatically speed up the attack generation compared to existing methods, often significantly reducing the required computation time; thus, shedding light on the real threat of real-time attacks in RL. Last but not the least, to alleviate the vulnerability issue of DRL, in Chapter \ref{chapter:A2PD}, we propose an adversary agnostic defense approach in order to increase the robustness of existed DRL policies. …”
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Harmonized co-existence with robust interference management in femto-macro cellular architectures by Ponnu Jacob

“…Hence each femtocell is embedded with a cognitive capability by means of a radio resource allocation algorithm called Cross-Polarized Complementary Frequency Allocation strategy (CPCFA) which enables it to select its own operational frequency. …”
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Real-time animation of vegetation : novel 2D approach and interactive authoring interface by Chen, Kan

“…This thesis presents novel algorithms to efficiently animate vegetation in 2D images and 3D scenes in real-time as well as provide users with an intuitive interface to easily and rapidly design and generate animation of short plants. …”
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Tracking and detecting objects in image sequence by Wang, Li

“…To solve this problem, a feature learning algorithm is proposed for visual object tracking by using domain adaptation. …”
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Ranging-based adaptive navigation for autonomous micro aerial vehicles by Nguyen, Pham Nhat Thien Minh

“…The last decade has witnessed a surge in popularity of Micro Aerial Vehicles (MAVs) in many civilian, industrial and military applications. …”
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Evaluating the socio-environmental impacts of monoculture cashew expansion in the Northern Western Ghats, India by Anushka Rege

“…I also compared the performances of the algorithms Random Forest, Classification And Regression Tree and Support Vector Machine. …”
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Reduced cell and stack modeling of planar solid oxide fuel cells by He, Zhongjie

“…The 2D spatially-smoothed counterpart is then asymptotically reduced to a set of parabolic partial differential equations (PDEs) and ordinary ones (ODEs) with a space marching algorithm. This reduced model, called the 2D asymptotic spatially-smoothed isothermal (ASSI) P-SOFC model, is finally verified with the 3D counterpart in terms of global and local cell properties. …”
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Wavefront subaperture stitching with Shack-Hartmann sensor by Li, Hongru, Feng, Guoying, Sun, Jianfei, Bourgade, Thomas, Zhou, Shouhuan, Asundi, Anand

“…Experimental validation of the SHWS stitching algorithm is carried out by using a coated mirror. …”
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Safety prompt advanced driver-assistance system by Shu, Haozhan

“…The control algorithm design section eluci-dates the development of the PID control algorithm, the lateral control algorithm for low-speed scenarios, and the decision scene switching algorithm. …”
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Fast ellipse detection via gradient information for robotic manipulation of cylindrical objects by Dong, Huixu, Sun, Guangbin, Pang, Wee-Ching, Asadi, Ehsan, Prasad, Dilip Kumar, Chen, I-Ming

“…Lastly, the algorithm is applied to identifying cylindrical objects in real-time for arranging and tracking purposes.…”
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Crowd monitoring and detection by Li, Xin

“…Lastly, the combined output shows whether the object human is wearing a mask and the crowd is following social distance. …”
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Parameter optimization methods for calibrating tank model and neural network for rainfall-runoff modelling by Kuok, King Kuok

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