Participatory Forest Carbon Assessment and REDD+: Learning from Tanzania by Kusaga Mukama, Irmeli Mustalahti, Eliakimu Zahabu

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Comparison of Machine Learning Techniques for the Prediction of Compressive Strength of Concrete by Palika Chopra, Rajendra Kumar Sharma, Maneek Kumar, Tanuj Chopra

“…A comparative analysis for the prediction of compressive strength of concrete at the ages of 28, 56, and 91 days has been carried out using machine learning techniques via “R” software environment. R is digging out a strong foothold in the statistical realm and is becoming an indispensable tool for researchers. …”
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Innovation in Public Libraries :Learning From International Library Practice. by فاطمة محمد الامين

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Lessons Learned on the Application of Vibration Absorbers for Enhanced Cannon Stabilization by Eric Kathe

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Federated Learning Approach for Breast Cancer Detection Based on DCNN by Hussain AlSalman, Mabrook S. Al-Rakhami, Taha Alfakih, Mohammad Mehedi Hassan

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Learning to Live Through Loss: Helping Children Understand Death by Carolyn S. Wilken

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Oral cannabidiol did not impair learning and memory in healthy adults by Hanna H. Gebregzi, Joanna S. Zeiger, Jeffrey P. Smith, Libby Stuyt, Luann Cullen, Jim Carsella, Daniel C. Rogers, Jordan Lafebre, Jennah Knalfec, Alfredo Vargas, Moussa M. Diawara

“…Abstract Background The effect of oral Cannabidiol (CBD) on interference during learning and memory (L&M) in healthy human volunteers has not been studied. …”
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Oral English Auxiliary Teaching System Based on Deep Learning by Chenhui Qu, Yuanbo Li

“…In order to solve the problem of the oral English auxiliary teaching system, a research based on Deep Learning was proposed. Based on the theory of Deep Learning, the teaching mode of Deep Learning for college students built on information technology was investigated in the research. …”
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FedDrip: Federated Learning With Diffusion-Generated Synthetic Image by Karin Huangsuwan, Timothy Liu, Simon See, Aik Beng Ng, Peerapon Vateekul

Subjects: “…Federated learning…”
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Supervised and Self-Supervised Learning for Assembly Line Action Recognition by Christopher Indris, Fady Ibrahim, Hatem Ibrahem, Götz Bramesfeld, Jie Huo, Hafiz Mughees Ahmad, Syed Khizer Hayat, Guanghui Wang

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Deep Learning Approach for Ascaris lumbricoides Parasite Egg Classification by Narut Butploy, Wanida Kanarkard, Pewpan Maleewong Intapan

“…This research proposes deep learning for A. lumbricoides’s egg image recognition to be used as a prototype tool for parasite egg detection in medical diagnosis. …”
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Predictive Control for Steel Rib Bending Based on Deep Learning by Yijiang Xia, Jinhui Luo, Zhuolin Ou, Xin Han, Junlin Deng, Ning Wu

Subjects: “…machine learning…”
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Accurate Identification of Cancerlectins through Hybrid Machine Learning Technology by Jieru Zhang, Ying Ju, Huijuan Lu, Ping Xuan, Quan Zou

“…In this study, various protein fingerprint features and advanced classifiers, including ensemble learning techniques, were utilized to identify this group of proteins. …”
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Physics-guided actor-critic reinforcement learning for swimming in turbulence by Christopher Koh, Laurent Pagnier, Michael Chertkov

“…We explore optimally balancing these efforts by developing a novel physics-informed reinforcement learning strategy and comparing it with prescribed control and physics-agnostic reinforcement learning strategies. …”
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Inculcating of sasak local cultural values in learning at elementary school by Aswasulasikin Aswasulasikin, Dina Fadilah, Yul Alfian Hadi

“…Third, there is no Sasak local culture curriculum that can be used as a reference in learning in elementary schools. Most elementary school students do not know Sasak culture because most schools cannot instill Sasak cultural values through learning as a culture that must be understood and as a guide in students’ daily life. …”
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Remote Laboratory Experiments in a Virtual Immersive Learning Environment by Luca Berruti, Franco Davoli, Sandro Zappatore, Gianluca Massei, Amedeo Scarpiello

“…The Virtual Immersive Learning (VIL) test bench implements a virtual collaborative immersive environment, capable of integrating natural contexts and typical gestures, which may occur during traditional lectures, enhanced with advanced experimental sessions. …”
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Application of Improved Deep Learning Method in Intelligent Power System by HuiJie Liu, Yang Liu, ChengWen Xu

“…In view of the inaccurate short-term power load prediction in the power system, where the smart grid cannot effectively coordinate the production, transportation, and distribution of electric energy, the authors propose the application of improved deep learning methods in intelligent power systems. The method uses the convolutional neural network to establish the energy prediction calculation model, uses CNN adaptive data features to mine characteristics, quantifies power uncertainty, uses drop regularization to optimize the deep network structure, uses the deep forest to learn the extracted data features, and builds a prediction model, in order to achieve accurate prediction of power load and solve the problem that the accuracy of existing forecasting methods decreases due to random fluctuations of power. …”
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Federated Learning for Decentralized DDoS Attack Detection in IoT Networks by Yaser Alhasawi, Salem Alghamdi

Subjects: “…Federated learning…”
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Face Recognition using Deep Learning and TensorFlow framework by Makrem Beldi

“…However, machine learning remains a relatively complex field that could feel intimidating or inaccessible to many of us. …”
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Network Representation Based on the Joint Learning of Three Feature Views by Zhonglin Ye, Haixing Zhao, Ke Zhang, Zhaoyang Wang, Yu Zhu

Subjects: “…network representation learning…”
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