Development of hybrid robot-gripper for picking foods by Tee, Isaac

“…One such example is the picking and placing of food in large quantities. …”
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Niemann-Pick type c disease: pathogenesis and therapy by Colaco, A

“…<p>Niemann-Pick disease Type C is a rare, lysosomal storage disorder caused by defects in either <em>NPC1</em> (95% of cases) or <em>NPC2</em>, and characterized by progressive neurodegeneration that ultimately results in premature death. …”

Discovering genetic modifiers in Niemann-Pick Disease Type C by Rodriguez-Gil, J

“…These subcellular pathologies eventually cause phenotypes of hepatosplenomegaly and neurological degeneration leading to premature death. NPC is extremely heterogeneous in the timing of clinical presentation (prenatal to adulthood) and is associated with a wide spectrum of causative NPC1 mutations. …”

Development of an automatic fruit picking robot based on object detection algorithm by Wan, Jiaxin

“…Robots are increasingly involved in human production, which leads to a qualitative leap in production efficiency. …”
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Filamentous oligomer structure reconstruction and a new filament picking method for Cryo-EM micrographs by Xu, Chenrui

“…Recognizing the bottleneck step of this process, the filament picking, we developed a rapid and easy-to-use software. …”
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Robust service restoration of distribution systems towards coordinated parallel network reconstruction and cold load pick-up by Xie, Dunjian, Xu, Yan, Zhang, Cuo

“…This paper proposed a robust service restoration method coordinating parallel network reconstruction and load restoration decisions considering cold load pick-up (CLPU) effects. Firstly, a novel parallel network reconstruction model is proposed, which can simultaneously guarantee the radiality of each subsystem and the feasibility of the restoration sequence. …”
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The Use of Scenario Based Approach Using Edpuzzle to Develop Interactive Environment Between Students and Educators in Teaching and Learning (S/O: 14758) by Khairudin, Norhaiza, Ibrahim, Marhaiza, Salleh, Danilah

“…In recent years, higher education institutions, both public and private, have been designated to adopt technology in teaching and learning processes so that students have the opportunity to learn and applied technology in their academic pursuits. …”
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Empowering communication for mute individuals through AI-assisted conversations by Au, Roydon Yew Rong

“…The application improves the convenience of mute users by generating personalized responses at real time for them to pick to reply to a normal speaker. Overtime, the app grows with the users by learning their habits and past experiences therefore improving the quality of generated responses to become more personal. …”
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Technology enabled interactive learning by Ong, Yu Bing

“…Technology Enabled Learning (TEL) is used commonly in schools and at corporate level. …”
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Reinforcement learning for robot assembly by Vuong Quoc Nghia

“…This is particularly important as customer demand for greater product variety has recently increased. Learning approaches will become prominent in this context since learning shifts the burden from humans to the robot. …”
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Optical microphone based on Mach Zehnder interferometer by Ng, Qin Yi.

“…An optical fiber microphone based on Mach Zehnder Interferometer had fabricated to detect acoustic wave and pick-up sound from surrounding. …”
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E-portal for life long learning by Chew, Adam Beng Aik

“…Life Long Learning is an online portal meant to bridge the informational gap between the everyday individuals seeking to pick up a new skill or hobby, and the course providers ranging from well-established corporations and government agencies to the small businesses hidden in our heartlands. …”
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Learning to detect partially overlapping instances by Arteta, C, Lempitsky, V, Noble, JA, Zisserman, A

“…Furthermore, the learning only requires weak annotations - a dot on each instance. …”

Software development for E-learning tool by Foong, Alexander Kwok Leong

“…The project starts off with searching for the best platform to perform software coding with high volume of consumers. …”
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Understanding Indexing Efficiency for Approximate Nearest Neighbor Search in High-dimensional Vector Databases by Qin, Yuting

“…The search performance, in terms of the scope of traversal that leads to convergence, is highly dependent on the quality of the graph. …”
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Deep learning for object detection and image segmentation by Tan, Yan Hwa

“…The aim of this project is to develop an automated solution to allow the robot to pick up the indicated object accurately from a clustered bin in bin-picking. …”
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Learning to detect cells using non-overlapping extremal regions by Arteta, C, Lempitsky, V, Noble, JA, Zisserman, A

“…We propose a machine learning-based cell detection method applicable to different modalities. …”

Modern Game Testing : Learn how to test games like a pro, optimize testing effort, and skyrocket your QA career / by Finska, Nikolina, author 656259

“…By the end of this book, you'll have a clear understanding of the modern methodologies of QA testing for games, and be able to build efficient, reliable, and long-lasting QA teams. What you will learn Conduct compliance, regression, and localization tests, among others Build and optimize test sets for testing mobile games Find out how to set up an efficient bug flow Write optimal bug reports that differentiate between priority and severity Pick the optimal testing approach for each phase of game development Discover how to use equivalence partitioning, boundary analysis, and decision tables Master live ops QA and handle live bugs Who this book is for This book is for game testers, game producers, game developers, testing managers, and other QA professionals who want to learn more about modern approaches to QA and utilizing them to build more efficient and cost-effective QA teams and products. …”
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A promising deep learning-assistive algorithm for histopathological screening of colorectal cancer by Ho, Cowan, Zhao, Zitong, Chen, Xiu Fen, Sauer, Jan, Saraf, Sahil Ajit, Jialdasani, Rajasa, Taghipour, Kaveh, Sathe, Aneesh, Khor, Li-Yan, Lim, Kiat-Hon, Leow, Wei-Qiang

“…We demonstrate an unique composite AI-model incorporating both a glandular segmentation deep learning model and a classical machine learning classifier, with excellent sensitivity in picking up high risk colorectal features. …”
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The problem-solving processes in physics of junior college students in Singapore by Tan, Bak Seng.

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