Bystanders by Rowe, Mary, Giraldo-Kerr, Anna

“…If they take helpful action, they may be called “active” or “positive” bystanders, or “up-standers.” …”
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Internet based training for engineers in the aspect of six sigma by Chatta Kannappa Srinivas.

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Battery plug-in electric vehicle concept design : (motor-drive train and batterypack) by Liong, Farandy Angesti.

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Effective image synthesis for effective deep neural network training by Cui, Kaiwen

“…We propose a novel Generative Co-training (GenCo) network that adapts the co-training idea into data-limited generation for tackling its inherent over-fitting issue. …”
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Predicted Losses of Sulfur and Selenium in European Soils Using Machine Learning: A 2 Call for Prudent Model Interrogation and Selection by Jones, Gerrad D., Insinga, Logan, Droz, Boris, Feinberg, Aryeh, Stenke, Andrea, Smith, Jo, Smith, Pete, Winkel, Lenny H. E.

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OSPC: Multimodal Harmful Content Detection using Fine-tuned Language Models by Cai, Bill

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Effectiveness of a preventative multi-component training program for prospective memory performance among healthy older adults by Farzin, Azin

“…Cognitive training includes strategy- and process-based approaches. …”
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FSL-QuickBoost: Minimal-Cost Ensemble for Few-Shot Learning by Bai, Yunwei, Cai, Bill Yang, Tan, Ying Kiat, Zheng, Zangwei, Chen, Shiming, Chen, Tsuhan

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Self-Supervised Learning across the Spectrum by Shenoy, Jayanth, Zhang, Xingjian Davis, Tao, Bill, Mehrotra, Shlok, Yang, Rem, Zhao, Han, Vasisht, Deepak

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Language models as hierarchy encoders by He, Y, Yuan, Z, Chen, J, Horrocks, I

“…Our method situates the output embedding space of pre-trained LMs within a Poincaré ball with a curvature that adapts to the embedding dimension, followed by training on hyperbolic clustering and centripetal losses. …”

Developing a system that uses ultrawide-band inertial measurement units to quantify selected 10-Pin skills in real-time by Wee, Joel Jiewei

“…This can be achieved through consistency in timing of the approach, accuracy of movement and reliance on equipment such as a bowling ball. At a competitive level, there is a need for professional training and a need for improved training methods. …”
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Virtual reality (VR) table tennis by Cheong, Yong Wen

“…The project has achieved the basic goal of creating an AI opponent which can return the ball through inference. Future Improvements could involve improvement of ball physics to simulate spinning effects of the ball and training the model with 3-dimensional variables with greater computing resources.Overall, this project has successfully demonstrated the feasibility integrating ML into VR, allowing future game developers to create immersive and adaptive gaming experiences that push the boundaries of VR entertainment.…”
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Developing Agility and Quickness / by Dawes, Jay, editor 522947, National Strength & Conditioning Association (U.S.) 422, Human Kinetics (Online service) 656055

“…The ball handler who fakes and then drives past a defender for an easy score. …”
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Scheduling and resource optimization in rail operations : models and algorithms by Birhade, Mahendra Pandharinath

“…In this essay, we develop a novel Integer Programming (IP) model that integrates the TTP and TPP into a single problem called the Integrated Train Timetabling and Platforming Problem (ITTPP). …”
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To assess the impact of physical factors on velocity, speed, and accuracy of tennis serve by Ma, Xudong, Yaacob, Azhar, Tengku Kamalden, Tengku Fadilah, Ng, Yee Guan

“…Objective: This study investigates the coordination of racquet and ball speed, examining how physical attributes and training impact serve performance. …”
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Object recognition using deep learning features by Zhu, Daiqing

“…This project proposed a more efficient algorithm called Data Driven Object Proposal which doesn’t need to train classifier. …”
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Virtual patient by Wong, Inge.

“…Standardized Patients have been widely used in hospitals and medical schools to train students. The term “Standardized Patients” refers to the specially trained actors who portray patients with particular health conditions or concerns. …”
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Object detection and tracking from surveillance videos by Yuan, Ziying

“…Wide use of video surveillance systems calls for powerful tools to extract information from video data. …”
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Hyperbolic face anti-spoofing by Han, Shuangpeng

“…To ensure the stability of model training and avoid the vanishing gradient problem, a simple but effective feature clipping method is designed in hyperbolic space. …”
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Design of machine learning based face recognition system by Yeo, Alvin Jin Kuang

“…In this report, a face recognition system called OpenFace which is an open source code based on a paper called FaceNet will be studied and implement. …”
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