Fault Diagnosis and Prediction of Continuous Industrial Processes Based on Hidden Markov Model-Bayesian Network Hybrid Model by Jiarula Yasenjiang, Chenxing Xu, Shengpeng Zhang, Xin Zhang

“…Then, the EM algorithm is improved by sequential and parallel learning to alleviate the initial sensitivity and local optimum problems. …”
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Smart Shift Decision Method Based on Stacked Autoencoders by Zengcai Wang, Yazhou Qi, Guoxin Zhang, Lei Zhao

“…Meanwhile, the network structure of SAE is determined through a comparative experiment on simple and deep-learning neural networks. Experimental results demonstrate that using the SAE intelligent shift control strategy to determine shift timing not only is feasible and accurate but also saves time and development costs.…”
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Glia and TRPM2 Channels in Plasticity of Central Nervous System and Alzheimer’s Diseases by Jing Wang, Michael F. Jackson, Yu-Feng Xie

“…Synaptic plasticity refers to the ability of neurons to strengthen or weaken synaptic efficacy in response to activity and is the basis for learning and memory. Glial cells communicate with neurons and in this way contribute in part to plasticity in the CNS and to the pathology of Alzheimer’s disease (AD), a neurodegenerative disease in which impaired synaptic plasticity is causally implicated. …”
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Parallel LSTM-Based Regional Integrated Energy System Multienergy Source-Load Information Interactive Energy Prediction by Bo Wang, Liming Zhang, Hengrui Ma, Hongxia Wang, Shaohua Wan

“…Then, based on the long short-term memory depth neural network time series prediction, parallel long short-term memory multitask learning model is established to achieve horizontal interaction among multienergy systems and based on user-driven behavioral data to achieve vertical interaction between source and load. …”
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The Use of Graph Databases for Artificial Neural Networks by Ahmet Cumhur Kınacı, Doğa Barış Özdemir

“…With the study conducted, even someone who has started learning artificial neural network models from scratch will see the process and can visually develop their own model. …”
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Salário de docente básico by Pedro Demo

“…It is very important to achieve, over time, a more visible correlation between the improvement of the teachers' remuneration and the improvement of students' learning.…”
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Using transformer-based models and social media posts for heat stroke detection by Sumiko Anno, Yoshitsugu Kimura, Satoru Sugita

“…This study demonstrates the potential of using Japanese tweets and deep learning algorithms based on transformer networks for event-based surveillance at high spatiotemporal levels to enable early detection of heat stroke risks.…”
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Future of education in the era of generative artificial intelligence: Consensus among Chinese scholars on applications of ChatGPT in schools by Ming Liu, Yiling Ren, Lucy Michael Nyagoga, Francis Stonier, Zhongming Wu, Liang Yu

“…The research findings indicate that a majority of Chinese scholars support the cautious integration of GAI into education as it serves as a learning tool that offers personalized educational experiences for students. …”
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IJSIE ABSTRACTS by Kananga Robert Mukuna

“…The Editorial Board welcomes empirical, conceptual, academic, and theoretical articles critically analysed and interpreted in all its holistic approach to inclusive education: inclusive education, learning barriers, learners, or students with special needs, etc. …”
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Integrated Balanced Scorecard and DEA Approach for Performance Evaluation with Non-Discretionary Factors by Seyed Najafi, Mir Aryanezhad, Farhad Hosseinzadeh Lotfi, Seyyed Ebnerasoul

“…Measuring the performance of production systems is a critical management task, which the Balanced Scorecard (BSC) framework addresses by providing a clear representation of key performance indicators across financial, customer, internal process, and learning and growth perspectives. In contrast, traditional data envelopment analysis (DEA) approaches evaluate systems holistically without considering individual processes. …”
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Comparative analysis of regression algorithms for drug response prediction using GDSC dataset by Soojung Ha, Juho Park, Kyuri Jo

“…Prediction of drug response is recently being performed using machine learning technology. However, high-throughput sequencing data produces thousands of features per patient. …”
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AN ACOUSTIC ANALYSIS OF THE STRESS ON THE PARTICLE مَا /MAː/ IN QURANIC RECITATION BY NON-ARAB SPEAKERS by Azzah Risti Meliyani, Mohamad Zaka Al Farisi, Hikmah Maulani

“…This research aims to provide a deeper insight into the acoustic characteristics of the recitation of the Quran and positively contribute to learning Arabic and the Quran. The findings show that the stress of the particle مَا /maː/ in Surah `Abasa produces some differences between non-Arabic speakers and native speakers. …”
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The Neuroplastic Adaptation Trident Model: A Suggested Novel Framework for ACL Rehabilitation by Timothy Machan, Kody Krupps

“…This structured framework provides clinicians with reproducible methods to employ as part of the rehabilitation process to maximize motor control and motor learning. Suggested dosage and implementation are proposed to lead to a consistent and gradually progressive challenge throughout the entire rehabilitation process that takes advantage of the time from surgery until return to play. …”
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Lithium-Ion Battery Capacity Estimation: A Method Based on Visual Cognition by Yujie Cheng, Laifa Tao, Chao Yang

“…Similarly, inspired by the HVS manifold sensing characteristic, the Laplacian eigenmap manifold learning method, which is considered to reveal the evolutionary law of battery performance degradation within a low-dimensional intrinsic manifold, is used to further obtain a low-dimensional feature vector. …”
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Virtual reality platforms for K-12 STEM education by Tyler Ward, Jorge A. Ortega-Moody, Sam Khoury, Mykelti Wheatley, Kouroush Jenab

“…This paper will cover the methodology and design considerations that went into developing these modules, with a focus on how these modules relate to various learning strategies as well as with existing research on the use of VR in K-12 education.…”
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Intelligent and Smart Irrigation System Using Edge Computing and IoT by M. Safdar Munir, Imran Sarwar Bajwa, Amna Ashraf, Waheed Anwar, Rubina Rashid

“…The decision from the ontology and the sensor values collectively become the source of the final decision which is the result of a machine learning algorithm (KNN). Moreover, an edge server is introduced between the main IoT server and the GSM module. …”
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Identifying industrial buildings as a spatial resource for sustainable urban regeneration in high-density post-industrial metropolitan in Asia by Miao Sun, Tan Qin, Yuanxiao Kuang, Jianchang Lv

“…This paper develops a machine learning method for identifying industrial buildings from satellite aerial images. …”
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Towards cross-platform interoperability for machine-assisted text annotation by Richard Eckart de Castilho, Nancy Ide, Jin-Dong Kim, Jan-Christoph Klie, Keith Suderman

“…This methodology requires the ability to freely combine resources from different document repositories, access a wide array of NLP tools that automatically annotate corpora for various linguistic phenomena, and use a sophisticated annotation editor that enables interactive manual annotation coupled with on-the-fly machine learning. We consider three independently developed platforms, each of which utilizes a different model for representing annotations over text, and each of which performs a different role in the process.…”
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DM-YOLO: improved YOLOv9 model for tomato leaf disease detection by Abudukelimu Abulizi, Junxiang Ye, Halidanmu Abudukelimu, Wenqiang Guo

“…Specifically, firstly, lightweight dynamic up-sampling DySample is incorporated into the feature fusion backbone network to enhance the ability to extract features of small lesions and suppress the interference from the background environment; secondly, the MPDIoU loss function is used to enhance the learning of the details of overlapping lesion margins in order to improve the accuracy of localizing overlapping lesion margins. …”
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Kesadaran Metakognitif Mahasiswa Melalui Pembelajaran Mandiri by Wachidatul Linda Yuhanna, Nuri Ati Ningsih

“…Metacognitive awareness is essential in learning, which includes knowledge about cognition and regulation about cognition. …”
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