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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RGB imaging for monitoring quality parameters of sweet potato during drying by Onwude, D.I., Hashim, N., Abdan, K., Janius, R., Che Adan, S.N., Jalaluddin, A.

“…Similarly, reference properties of moisture content and color coordinates were measured after every 1 h under the same drying conditions using conventional methods. It was observed that there were strong correlations between the RGB parameters and the measured quality properties. …”

Recent advances of optical imaging in the drying process of grains – a review by Jimoh, Kabiru Ayobami, Hashim, Norhashila, Shamsudin, Rosnah, Che Man, Hasfalina, Jahari, Mahirah

“…The rapid advancement in measurement methods has led to the use of a variety of optical-based techniques for monitoring grain throughout the drying process since they are non-destructive and highly effective. …”

Development of an educational method to rethink and learn oncological brain surgery in an “a la carte” connectome-based perspective by Valdes, Pablo A., Ng, Sam, Bernstock, Joshua D., Duffau, Hugues

“…The aim of this didactic method is to provide the neurosurgical oncology community with an accessible and ready-to-use educational tool, enabling neurosurgeons to improve their knowledge of WMTs and to better learn their oncologic cases, especially in glioma surgery using awake mapping. …”
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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

“…The proposed method consists of classic machine learning methods, including experimental sampling, data clustering, classification, and knowledge transfer. …”
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A hierarchical self-adaptive data-analytics method for real-time power system short-term voltage stability assessment by Zhang, Yuchen, Xu, Yan, Dong, Zhao Yang, Zhang, Rui

“…Based on a strategically designed ensemble-based randomized learning model, the STVS assessment is achieved sequentially and self-adaptively. …”
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The transfer and maximisation of dry-land strength & power into in-water thrust in competitive swimming by Tan, Quah Jian

“…BACKGROUND: The ability of competitive swimmers to maximise dry-land strength gains into useful swimming thrust is important for swimming performance. …”
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PCN: a deep learning approach to jet tagging utilizing novel graph construction methods and Chebyshev graph convolutions by Semlani, Yash, Relan, Mihir, Ramesh, Krithik

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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

“…We demonstrate the juxtaposition of transfer learning models such as ResNet50 with the proposed combination of BNs with artificial neural network methods such as CNNs which provides a state-of-the-art expert system with explainability. …”
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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

“…A comparison of teaching and learning assessment methods during and after COVID-19 semesters is described in this study. …”
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Formulation and in-vitro release study of drug loaded liposomes for treating dry eye disease by Chua, Yan Ni

“…Dry eye disease is regarded as an economic burden as the patients incurred financial loss during the treatment of DED. …”
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Monitoring the drying process of glutinous rice using hyperspectral imaging coupled with multivariate analysis by Jimoh, Kabiru Ayobami, Hashim, Norhashila, Shamsudin, Rosnah, Che Man, Hasfalina, Jahari, Mahirah

“…The visible-near infrared (Vis-NIR) HSI system with a spectral range of 450–1000 nm was employed in this study to monitor the moisture content of glutinous rice during hot-air drying. The partial least squares method was used for the model calibration based on the full spectral range. …”
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Chromatin interaction neural network (ChINN) : a machine learning-based method for predicting chromatin interactions from DNA sequences by Cao, Fan, Zhang, Yu, Cai, Yichao, Animesh, Sambhavi, Zhang, Ying, Akincilar, Semih Can, Loh, Yan Ping, Li, Xinya, Chng, Wee Joo, Tergaonkar, Vinay, Kwoh, Chee Keong, Fullwood, Melissa Jane

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Reinforcement learning-based method 3D motion planning for a 3D inspection task using prior viewpoint information by Chee, Yeng Sung

“…This paper is based on previous work that proposed a computational framework for automatic online path generation for robotic inspection via coverage planning and reinforcement learning-based approach. The online processing stage is utilising Monte Carlo Tree Search (MCTS) with the formulation of Markov Decision Process (MDP). …”
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Numerical Methods for Engineers / by Chapra, Steven C., author 289854, Canale, Raymond P., author 234599

“…Each part closes with an Epilogue containing sections called "Trade-Offs", "Important Relationships and Formulas", and "Advanced Methods and Additional References". Much more than a summary, the Epilogue deepens understanding of what has been learned and provides a peek into more advanced methods. …”

Adaptive Instructional Systems : Adaptation Strategies and Methods : Third International Conference, AIS 2021, Held as Part of the 23rd HCI International Conference, HCII 2021, Vir... by AIS (Conference : 2019- ) (3rd : 2021 :) Online, organiser 642976, Sottilare, Robert, editor 642977, Schwarz, Jessica, editor 642978, International Conference on Human-Computer Interaction (23rd : 2021 : Online), organiser 642922

Explainable machine learning and deep learning by Liao, Zhongtian

“…This project aims to solve this problem by focusing on methods for making machine learning models and decisions made interpretable to humans. …”
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E-learning for mobile learning platform by MacInnes, Catriona

“…From the very beginning of life, people are adapting and learning subconsciously. By studying the way people learn, methods can be created to increase learning potential and efficiency. …”
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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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An investigation into real-time surface crack classification and measurement for structural health monitoring using transfer learning convolutional neural networks and Otsu method by Mazleenda Mazni, Mazleenda Mazni, Husain, Abdul Rashid, Shapiai, Mohd. Ibrahim, Ibrahim, Izni Syahrizal, Devi Willieam Anggara, Devi Willieam Anggara, Zulkifli, Riyadh

“…Incorporating the Otsu method for image segmentation, our system accurately assesses individual crack sizes. …”
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