Development of problem-based learning practicum modules for the dangerous goods course by Dwi Candra Yuniar, Herlina Febiyanti, Shabrina Ramadhani, R.R. Retno Sawitri Wulandari

Subjects: “…learning media…”
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Machine learning techniques for non-destructive estimation of plum fruit weight by Atefeh Sabouri, Adel Bakhshipour, Mehrnaz Poorsalehi, Abouzar Abouzari

“…We aimed to evaluate various machine learning (ML) techniques for this purpose. Images of fruit samples were captured using a smartphone camera, processed to extract binary images, and used to calculate dimensions. …”
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Combinatorial and Multinomial Coefficients and its Computing Techniques for Machine Learning and Cybersecurity by Chinnaraji Annamalai

“…Methodological advances in combinatorics and mathematics play a vital role in artificial intelligence and machine learning for data analysis and artificial intelligence-based cybersecurity for protection of the computing systems, devices, networks, programs and data from cyber-attacks. …”
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Fast Detection of Deceptive Reviews by Combining the Time Series and Machine Learning by Minjuan Zhong, Zhenjin Li, Shengzong Liu, Bo Yang, Rui Tan, Xilong Qu

“…The existing supervised learning methods require a large number of labeled examples of deceptive and truthful opinions by domain experts, while the available unsupervised learning methods are inefficient because they depend on the features of reviewers to detect each fake review. …”
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Sustainable Selection of Machine Learning Algorithm for Gender-Bias Attenuated Prediction by Raik Orbay, Evelina Wikner

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Ensemble learning based sustainable approach to rebuilding metal structures prediction by Tetiana Vlasenko, Taras Hutsol, Vitaliy Vlasovets, Szymon Glowacki, Tomasz Nurek, Iryna Horetska, Savelii Kukharets, Yuriy Firman, Olexandra Bilovod

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Source Apportionment of Particulate Matter by Application of Machine Learning Clustering Algorithms by Vikas Kumar, Manoranjan Sahu, Pratim Biswas

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Flood Detection Based on Unmanned Aerial Vehicle System and Deep Learning by Kaixin Yang, Sujie Zhang, Xinran Yang, Nan Wu

“…This study employs deep learning models to develop an automated detection of flooded buildings with UAV aerial images. …”
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Advances in the application of multi-omics and machine learning technologies in sepsis research by Chen Pengpeng, Yang Jie, Jin Xinhao, Zhang Bo, Yang Suibi, Hong Yucai, Ni Hongying, Zhang Zhongheng

“…In recent years, the combination of multiomics technologies and machine learning has led to significant breakthroughs in sepsis research, providing new prospects for early diagnosis, precise treatment, and personalized interventions. …”
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A joint learning method for low-light facial expression recognition by Yuanlun Xie, Jie Ou, Bihan Wen, Zitong Yu, Wenhong Tian

Subjects: “…Cross high- and low-level learning…”
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Similarity Learning and Generalization with Limited Data: A Reservoir Computing Approach by Sanjukta Krishnagopal, Yiannis Aloimonos, Michelle Girvan

“…We investigate the ways in which a machine learning architecture known as Reservoir Computing learns concepts such as “similar” and “different” and other relationships between image pairs and generalizes these concepts to previously unseen classes of data. …”
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Usability of Computer-Aided Translation Software Based on Deep Learning Algorithms by Junjun Liu

“…By observing, recording, and analyzing user behavior and related data, the five attributes of usability can be learned and memorable. The experiments show that the effect of this study on computer-aided software with the help of deep learning knowledge can produce good results, and the robustness and scalability of the software have been enhanced, increasing the competitiveness of the software itself in translation software.…”
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Document-Level Neural TTS Using Curriculum Learning and Attention Masking by Sung-Woong Hwang, Joon-Hyuk Chang

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The transition of online into limited English learning-teaching in the rural area context by Amira Wahyu Anditasari, Siti Kholija Sitompul

“… The Covid-19 pandemic has started to decrease, thus many schools in Indonesia have switched their learning activity from online to limited offline learning teaching. …”
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Financial and Sovereign Debt Crises: Some Lessons Learned and Those Forgotten by Carmen M. Reinhart, Kenneth S. Rogoff

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The role of lecturer discipline on student interests: motivation to learn as intervening variable by Man Yany, Djoko Soelistya, Eva Decembrianita, Rahmat Agus Samtoso, Mu’minatur Sholichah

Subjects: “…lecturer discipline, learning motivation, learning interest…”
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Potential for Vertical Heterogeneity Prediction in Reservoir Basing on Machine Learning Methods by Hongqing Song, Shuyi Du, Ruifei Wang, Jiulong Wang, Yuhe Wang, Chenji Wei, Qipeng Liu

“…With the rapid development of computer technology, some machine learning methods have begun to gradually integrate into the petroleum industry and have achieved some achievements, whether in conventional or unconventional reservoirs. …”
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Plant Disease Identification Based on Deep Learning Algorithm in Smart Farming by Yan Guo, Jin Zhang, Chengxin Yin, Xiaonan Hu, Yu Zou, Zhipeng Xue, Wei Wang

“…Finally, the segmented leaves are input into the transfer learning model and trained by the dataset of diseased leaves under simple background. …”
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Machine Learning–Based Predictive Farmland Optimization and Crop Monitoring System by Marion Olubunmi Adebiyi, Roseline Oluwaseun Ogundokun, Aneoghena Amarachi Abokhai

“…This study provided a machine learning–aided mobile system for farmland optimization, using various inputs such as location, crop type, soil type, soil pH, and spacing. …”
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Federated Learning-Based Load Forecasting for Energy Aggregation Service Providers by HUANG Yichuan, SONG Yuhui, JING Zhaoxia

Subjects: “…energy aggregation service provider|load forecasting|federated learning|data privacy|neural network…”
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