A soft actor-critic deep reinforcement learning method for multi-timescale coordinated operation of microgrids by Hu, Chunchao, Cai, Zexiang, Zhang, Yanxu, Yan, Rudai, Cai, Yu, Cen, Bowei

“…The first stage is formulated as a non-convex deterministic optimization problem, while the second stage is modeled as a Markov decision process solved by an entropy-regularized deep reinforcement learning method, i.e., the Soft Actor-Critic. The Soft Actor-Critic method can efficiently address the exploration–exploitation dilemma and suppress variations. …”
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Hybrid machine learning method to determine the optimal operating process window in aerosol jet 3D printing by Zhang, Haining, Moon, Seung Ki, Ngo, Teck Hui

“…In this paper, a novel hybrid machine learning method is proposed to determine the optimal operating process window for the AJP process in various design spaces. …”
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An integrated intelligent system for breast cancer detection at early stages using IR images and machine learning methods with explainability by Aidossov, Nurduman, Zarikas, Vasilios, Zhao, Yong, Mashekova, Aigerim, Ng, Eddie Yin Kwee, Mukhmetov, Olzhas, Mirasbekov, Yerken, Omirbayev, Aldiyar

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Comparing the effectiveness of online and face-to-face teaching and learning methods in an engineering course during and after the COVID-19 pandemic by Diana Che Lat, Doris Asmani Mat Yusof, Nurul Ainain Mohd Salim, Roslizayati Razali

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Machine Learning Method for Forecasting Weather Needed For Crop Water Demand Estimations in Low-Resource Settings Using A Case Study in Morocco by Sheline, Carolyn, Winter, Amos

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Seaweed processing: Efficiency, kinetics, and quality attributes under solar drying by Khan, Nida, Sudhakar, Kumarasamy, Rizalman, Mamat

“…Traditional open sun drying methods face issues such as weather dependence, contamination risk, inconsistent drying rates, and nutrient loss. …”
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Comparative study of modeling, drying kinetics and specific energy consumption of desiccated coconut during convective and infrared drying by S., Yahya, A., Mohd Shamsul, A.G., Nur Hamizah, M.N., Mohd Zuhair

“…White coconut shreds were dried in this study utilizing convective (CD) and infrared (IR) drying methods to produce desiccated coconuts. The drying duration, drying rate, effective moisture diffusivity, activation energy, and specific energy consumption of desiccated coconuts were examined and compared between convective and infrared drying. …”
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Comparative study of modelling, drying kinetics and specific energy consumption of desiccated coconut during convective and infrared drying by Sahari, Yahya, Anuar, Mohd Shamsul, Abdul Ghani, Nur Hamizah, Mohd Nor, Mohd Zuhair

“…White coconut shreds were dried in this study utilizing convective (CD) and infrared (IR) drying methods to produce desiccated coconuts. The drying duration, drying rate, effective moisture diffusivity, activation energy, and specific energy consumption of desiccated coconuts were examined and compared between convective and infrared drying. …”
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Okara extract as a potential platform for micronutrients encapsulation in food fortification by Theniko, Nasya Martin

“…The efficacy of extraction process was investigated in varying acidic/alkaline conditions, followed by two different drying methods; freeze-drying and spray-drying. The extracts were tested with FTIR, TGA, DSC, and SEM analysis for material characterization and the extracts were then used to encapsulate β-carotene. …”
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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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Potential utilisation of solar-assisted kiln dryer in bamboo drying by Zafhian, Zahidah, Muhammad Roseley, Adlin Sabrina, Shing, Sik Huei, Beng, Ong Chee, Rabidin, Zairul Amin

“…This study investigated the potential utilisation of solar drying methods for processing local bamboo. The drying characteristics and physical and mechanical properties of solar-dried Gigantochloa levis bamboo culms’ bottom, middle, and top sections were determined. …”
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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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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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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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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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