Real-Time Prediction of the Trend of Ground Motion Intensity Based on Deep Learning by Tao Liu, Zhijun Dai

“…In order to predict the intensity of earthquake damage in advance and improve the effectiveness of earthquake emergency measures, this paper proposes a deep learning model for real-time prediction of the trend of ground motion intensity. …”
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Evaluation Method of Street Green Landscape Viewing Degree Based on Machine Learning by Tieming Wang, Mengyu Liu, Wenhua Huang

“…In order to change this situation, this paper combined machine learning with the evaluation method of street green landscape viewing degree and conducted experiments on it based on machine learning. …”
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Gamma Oscillations Facilitate Effective Learning in Excitatory-Inhibitory Balanced Neural Circuits by Kwan Tung Li, Junhao Liang, Changsong Zhou

“…Gamma oscillation in neural circuits is believed to associate with effective learning in the brain, while the underlying mechanism is unclear. …”
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Frequency-Aware Integrity Learning Network for Semantic Segmentation of Remote Sensing Images by Penghan Yang, Wujie Zhou, Yuanyuan Liu

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Machine learning algorithms for predicting PTSD: a systematic review and meta-analysis by Masoumeh Vali, Hossein Motahari Nezhad, Levente Kovacs, Amir H Gandomi

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CONSTRUCTIVE FEEDBACK IN TEACHING AND LEARNING: A PERSPECTIVE FROM BIOLOGY TEACHING PRACTICE by Nguyễn Thị Ái Minh

“…This was followed by a study on the practice of providing constructive feedback in teaching and learning within a module of Biology Teaching Practice at Dalat University.…”
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Learning from collaborative ‘conversations’ on the Students as Producer Pedagogic model: students’ views by Kate Strudwick, Phil Johnson

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How Can ChatGPT Facilitate Teaching and Learning: Implications for Contemporary Education by Turgut Karakose, Tijen Tülübaş

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Systematic review of machine learning applications using nonoptical motion tracking in surgery by Teona Z. Carciumaru, Cadey M. Tang, Mohsen Farsi, Wichor M. Bramer, Jenny Dankelman, Chirag Raman, Clemens M. F. Dirven, Maryam Gholinejad, Dalibor Vasilic

“…Abstract This systematic review explores machine learning (ML) applications in surgical motion analysis using non-optical motion tracking systems (NOMTS), alone or with optical methods. …”
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USING ARTIFICIAL INTELLIGENCE (AI) AND DEEP LEARNING TECHNIQUES IN FINANCIAL RISK MANAGEMENT by Joseph Olorunfemi AKANDE

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Using Reclaimed Water to Irrigate Turfgrass – Lessons Learned from Research with Nitrogen by George Hochmuth, Jinghua Fan, Jason Kruse, Jerry Sartain

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Digital Effectiveness in Video Conference Methods on Internet Learning Environments of Higher Education by Yanhong Wei, Huili Tang

“…This paper has aimed at investigating the ways of effective utilization of video conferencing in an online learning environment and presents a case study following the principles of educational neuroscience and distance education that are related to appropriate utilization of available digital technologies to function as educational and learning means to promote the usage in the framework of higher education.…”
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Integrated Model of Multiple Kernel Learning and Differential Evolution for EUR/USD Trading by Shangkun Deng, Akito Sakurai

“…The experimental results showed that trading using the prediction learned by MKL yielded consistent profits.…”
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Deep Learning Implementation Using CNN to Classify Bali God Sculpture Pictures by Ni Luh Gede Pivin Suwirmayanti, I Wayan Budi Sentana, I Ketut Gede Darma Putra, Made Sudarma, I Made Sukarsa, Komang Budiarta

“…This research is motivated by the existence of various forms of God statues which have a central role in Balinese culture. The Deep Learning method is proposed because it has unique features that can be extracted automatically. …”
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Upregulation of Neurotrophic Factors Selectively in Frontal Cortex in Response to Olfactory Discrimination Learning by Ari Naimark, Edi Barkai, Michael A. Matar, Zeev Kaplan, Nitzan Kozlovsky, Hagit Cohen

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Skillful prediction of Indian Ocean Dipole index using machine learning models by J.V. Ratnam, Swadhin K. Behera, Masami Nonaka, Kalpesh R. Patil

“…In this study, we evaluated six machine learning models for their skill in predicting the Indian Ocean Dipole (IOD). …”
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An optimal defensive deception framework for the container‐based cloud with deep reinforcement learning by Huanruo Li, Yunfei Guo, Penghao Sun, Yawen Wang, Shumin Huo

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An Unsupervised Deep Learning Framework for Retrospective Gating of Catheter-Based Cardiac Imaging by Zheng Sun, Yue Yao, Ru Wang

“…In this paper, we report on an end-to-end unsupervised learning framework for retrospective image-based gating (IBG) of catheter-based intracoronary images, named IBG Network. …”
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Deep and Machine Learning for Acute Lymphoblastic Leukemia Diagnosis: A Comprehensive Review by Mohammad Faiz, Bakkanarappa Gari Mounika, Mohd Akbar, Swapnita Srivastava

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On improving training mechanisms teaching staff and prospects for targeted learning in the interests of universities by S. A. Kudzh, N. B. Golovanova

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