Learning to count anything: reference-less class-agnostic counting with weak supervision by Hobley, M, Prisacariu, V

“…Current class-agnostic counting methods can generalise to unseen classes but usually require reference images to define the type of object to be counted, as well as instance annotations during training. …”

Efficient charging/discharging algorithm for battery storage system by Chow, Tze Hui

“…This report discusses various techniques to estimate the SOC of the battery such as open-circuit voltage (OCV) method, coulomb counting method and extended Kalman filter (EKF) algorithm. …”
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A high-sensitivity potentiometric 65-nm CMOS ISFET sensor for rapid E. coli screening by Jiang, Yu, Liu, Xu, Dang, Tran Chien, Huang, Xiwei, Feng, Hao, Zhang, Qing, Yu, Hao

“…Compared to the conventional direct plate counting method (24 h), more efficient sixfold smaller screening time (4 h) was achieved to differentiate samples' E. coli levels. …”
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Graph representation learning by Zhang, Xinyi

“…Besides different techniques used in graph representation learning, according to the fineness of the objects for embedding, the graph representation learning methods can be mainly divided into node-level, edge-level, and graph-level representation learning methods. …”
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Descriptor learning using convex optimisation by Simonyan, K, Vedaldi, A, Zisserman, A

“…Both of these problems use large margin discriminative learning methods. The third contribution is a new method of obtaining the positive and negative training data in a weakly supervised manner. …”

Machine learning for mathematical question difficulty classification by Pang, Jarald Qi Kai

“…The same 4 machine learning methods were then again used to classify the difficulty of each question using the vectorized question and predicted topic. …”
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Non-invasive diagnosis of lung cancer based on CFD modeling and fractal analysis by Chen, Rou, Zhou, Ying, Yan, Weiwei, Li, Hua

“…After that, the box-counting method is employed in fractal analysis to calculate the fractal dimension of exhaled aerosol patterns in the human lung model. …”
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You look familiar … but what’s your name? Word learning in Singaporean older adults by Tan, Justina Yu Han

“…The findings suggest that age differences in word learning may require specialized learning methods to meet different needs.…”
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Domain transfer multiple kernel learning by Duan, Lixin, Tsang, Ivor Wai-Hung, Xu, Dong

“…Cross-domain learning methods have shown promising results by leveraging labeled patterns from the auxiliary domain to learn a robust classifier for the target domain which has only a limited number of labeled samples. …”
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Soft computing based controllers for automotive air conditioning system with variable speed compressor. by Ng, Boon Chiang.

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The technological-industrial complex and education : navigating algorithms, datafication, and artificial intelligence in comparative and international education / by Curtis, Sydney Marie Simone, author 654828, Desimoni, Victoria, author 654829, Crumley-Effinger, Max, author 654830, Salajan Florin 654831, Jules, Tavis Deryck 654858, SpringerLink (Online service)

“…The advent of advanced technologies, particularly AI, has been a game changer for research, teaching, and learning methods. It is within this context and at the intersection of deglobalization (and the retreat towards regionalization) and the rise of the fourth industrial revolution -- that blends the biological, physical, and cyber-physical together -- that this project seeks to describe the benefits and consequences of datafication and AI for the field of CIE…”
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Using AI / machine learning to solve real world problems by Lok, Ignatius Zhengrong

“…With the development of technology, it is common to see machine learning methods used and adopted to help solve real-world problems of both individuals and well as large corporations. …”
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Genetic algorithm based deep learning model adaptation for improvising the motor imagery classification by R, Vishnupriya, Robinson, Neethu, M, Ramasubba Reddy

“…Deep learning methods have proved a promising performance for electroencephalography-based brain-computer interfaces (EEG-BCI). …”
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Cross-modal retrieval: a review of methodologies, datasets, and future perspectives by Han, Zhichao, Azman, Azreen Bin, Rina Binti Mustaffa, Mas, Binti Khalid, Fatimah

“…Currently, the most popular deep learning methods have achieved remarkable results in the field of data processing and graphics. …”
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Liquid slosh suppression by implementing data-driven fractional order PID controller based on marine predators algorithm by Mohd Zaidi, Mohd Tumari, Mohd Ashraf, Ahmad, Mohd Riduwan, Ghazali, Nik Mohd Zaitul Akmal, Mustapha, Shahrizal, Saat

“…The effectiveness of the FOPID controller tuning method based on MPA was assessed by evaluating the performance criteria in terms of convergence curve of the average fitness function, statistical results, and Wilcoxon’s rank test. …”
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Study on designer surface plasmon resonators by Gao, Fei

“…Chapter 2 introduces a dispersion tuning method on designer surface plasmon resonators. …”
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Investigation of the sequential accelerator on the perceptron for pattern recognition by Sirote Saetang.

“…Machine Learning methods have been widely used in recent years in many areas, such as object recognition, autonomous vehicle, recovery rate of symptoms and stock prediction. …”
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Reallocation of time between device-measured movement behaviours and risk of incident cardiovascular disease by Walmsley, R, Chan, S, Smith-Byrne, K, Ramakrishnan, R, Woodward, M, Rahimi, K, Dwyer, T, Bennett, D, Doherty, A

“…</p> <p><strong>Conclusion</strong> Machine-learning methods classified movement behaviours accurately in free-living accelerometer data. …”

Deep learning with constrained data resource by Mao, Jiangtian

“…The method can achieve a better accuracy compared to simple full-supervised learning methods, especially the problem becomes to a one-shotting problem.…”
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An Intelligent Cooperative Control Architecture by How, Jonathan, Choi, Han-Lim, Undurti, Aditya, Redding, Joshua

“…This paper presents an extension of existing cooperative control algorithms that have been developed for multi-UAV applications to utilize real-time observations and/or performance metric(s) in conjunction with learning methods to generate a more intelligent planner response. …”
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