In this work, we present the design and plan of Quantum machinelearning (QML) course in a computer science (CS) University program at senior undergraduate level / first year graduate level. Based on our survey, there...
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ISBN:
(纸本)9798350343236
In this work, we present the design and plan of Quantum machinelearning (QML) course in a computer science (CS) University program at senior undergraduate level / first year graduate level. Based on our survey, there is a lack of detailed design and assessment plan for the delivery of QML course. In this paper we have presented the QML course design with week by week details of QML concepts and hands on activities that are covered in the course. We also present how this QML course can be assessed from CS program learning outcomes perspective.
Crowdsourcing has been used to produce impactful and large-scale datasets for machinelearning and Artificial Intelligence (AI), such as ImageNET, SuperGLUE, etc. Since the rise of crowdsourcing in early 2000s, the AI...
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ISBN:
(纸本)9781450394079
Crowdsourcing has been used to produce impactful and large-scale datasets for machinelearning and Artificial Intelligence (AI), such as ImageNET, SuperGLUE, etc. Since the rise of crowdsourcing in early 2000s, the AI community has been studying its computational, system design, and data-centric aspects at various angles. We welcome the studies on developing and enhancing of crowdworker-centric tools, that offer task matching, requester assessment, instruction validation, among other topics. We are also interested in exploring methods that leverage the integration of crowdworkers to improve the recognition and performance of the machinelearning models. thus, we invite studies that focus on shipping active learning techniques, methods for joint learning from noisy data and from crowds, novel approaches for crowd-computer interaction, repetitive task automation, and role separation between humans and machines. Moreover, we invite works on designing and applying such techniques in various domains, including e-commerce and medicine.
the android system had been a popular system among mobile phone users, there are lots of applications based on android system, which contain malware and good software. Malware is very harmful to the computer because i...
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In this study, the practical application of technologies related to IoT and machinelearning in the robotics education context is examined based on the use of a robot with two proximity sensors. the trial system was d...
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Lip Reading has evolved and from where it began to help deaf people has slowly turned into a service where in the Digital Entertainment industry has started utilizing it. Withthe recent rise of AI, automated technolo...
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In the real-estate industry, the capacity to extract significant information from raw data makes it extremely valuable for predicting home values, housing attributes, and much more. the cost of housing varies from day...
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the proceedings contain 68 papers. the topics discussed include: app based implementation of modern agriculture utilities for farmers;application of intelligent computing (IC) in human resources (HR) analytics: toward...
ISBN:
(纸本)9798350341126
the proceedings contain 68 papers. the topics discussed include: app based implementation of modern agriculture utilities for farmers;application of intelligent computing (IC) in human resources (HR) analytics: towards better tomorrow;artificial intelligence based chatbot for promoting equality in high school advising;assessment of human activity recognition based on impact of feature extraction prediction accuracy;biometric and RFID passive tag based student identification system for secure attendance management;blockchain and federated learning enabled smart traffic management system for smart cities;climatic temperature forecasting with regression approach;covid-19 detection on X-ray image using deep learning;critical review on applications of self-healing concrete in reinforced concrete structures;decipherable for artificial intelligence in Medicare: a review;dementia identification using machinelearning algorithms: comparative analysis;and design and implementation of an easy-to-use tracking device for logistic applications.
the exploration of histopathological osteosarcoma data is a profitable technique to observe the pathological textures of osteosarcoma. Osteosarcoma classification is complex and inefficient due to inter-class similari...
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the proceedings contain 17 papers. the topics discussed include: artificial neural networks in non-small cell lung cancer detection using computed tomography medical imaging;recommendations for the development of vide...
ISBN:
(纸本)9798350373219
the proceedings contain 17 papers. the topics discussed include: artificial neural networks in non-small cell lung cancer detection using computed tomography medical imaging;recommendations for the development of video games to reduce stress in young people;neural network architectures comparison for atrial fibrillation detection;real-time web monitoring of shoulder rehabilitation exercises using artificial vision techniques;HELP! It's up to YOU to DONATE - a structured literature review on conversational agents and promoting donation behavior;GigMaleBPMN: generation of graphical components from the BPMN model using machinelearning;machinelearning and balanced techniques for diabetes prediction;and a topic modeling approach to analyze teaching innovation projects.
Autism Spectrum Disorder (ASD) is an evolving ailment that upsets the nervous system, by means of a widespread range of symptoms and severity levels. Early ASD identification is challenging and there is no treatment, ...
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