Professional learning and the on-line discussion by Michael Hammond

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Relational Demonic Fuzzy Refinement by Fairouz Tchier

“…We use relational algebra to define a refinement fuzzy order called demonic fuzzy refinement and also the associated fuzzy operators which are fuzzy demonic join (⊔fuz), fuzzy demonic meet (⊓fuz), and fuzzy demonic composition (□fuz). …”
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Application to Biomedical Data: Using the Topp Leone Inverse Lindley Model by Maha A. Aldahlan

“…A more flexible two-parameter model named the Topp Leone inverse Lindley model is investigated. Some basic mathematical properties such as quantile, moments, order statistics, and Rényi entropy of the new distribution are considered. …”
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Un Américain au Louvre ? L’architecte William Welles Bosworth et le réaménagement du musée du Louvre dans le cadre du « plan Verne » (1925-1939) by Églantine Pasquier

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Learning model development moodle-based problem-based learning to improve critical thinking ability by Poy Saefullah Zevender, Disman Disman, Hari Mulyadi, Edutivia Mardetini, Deni Adriani, Lazuardi Imani Hakam

“…The MOODLE -Based Blended Problem Based Learning Model is considered suitable for develop ability think critical because Blended Problem Based Learning related learning with real world problems as context for participant educate for study think critical and skills solve problem , the MOODLE -based Learning Management System helps participant educate enter into the room digital class and can access materials learning in blended learning as effort restore educational conditions during the COVID-19 endemic. …”
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The improvement students learning achievement by applying work based learning combined with teaching factory concept by Hasan Maksum, Wawan Purwanto, Toto Sugiarto, Nuzul Hidayat, Siman Siman, Hanapi Hasan

Subjects: “…work-based learning model teaching factory automotive vocational students validity, practicality, effectivity…”
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The Short-Term Wind Power Forecasting by Utilizing Machine Learning and Hybrid Deep Learning Frameworks by Sunku V.S., Namboodiri V., Mukkamala R.

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Applying in machine learning and deep learning in finance industry: A case study on repayment prediction by Nguyễn Phát Đạt, Hồ Mai Minh Nhật, Trương Công Vinh, Lê Quang Chấn Phong, Lê Hoành Sử

“…The present inquiry advocates for the adoption of sophisticated computational methodologies, including machine learning and deep learning, to analyze borrowers’ behavioral patterns, demographic profiles, and credit histories, thus facilitating the prognostication of loan repayment likelihood. …”
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Determinants of Success and Risks of Implementing the “Service Learning” Approach in a Project-Oriented Learning Environment by Ya. A. Aslanov, L. S. Detochenko, A. P. Lepin, E. V. Martynova

Subjects: “…“service learning” pedagogical approach…”
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Musical colossal drama project-based learning to boost students’ engagement in English language learning by Upik Hastuti

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A Comprehensive Investigation of Anomaly Detection Methods in Deep Learning and Machine Learning: 2019–2023 by Shalini Kumari, Chander Prabha, Asif Karim, Md. Mehedi Hassan, Sami Azam

“…These techniques are categorized further into machine learning (ML), deep learning (DL), and federated learning (FL). …”
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Learning the Car-following Behavior of Drivers Using Maximum Entropy Deep Inverse Reinforcement Learning by Yang Zhou, Rui Fu, Chang Wang

“…The present study proposes a framework for learning the car-following behavior of drivers based on maximum entropy deep inverse reinforcement learning. …”
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Teacher strategies in online learning to increase students’ interest in learning during COVID-19 pandemic by Sutarto Sutarto, Dewi Purnama Sari, Irwan Fathurrochman

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Advancements in Machine Learning and Deep Learning Techniques for Crop Yield Prediction: A Comprehensive Review by V. Ramesh and P. Kumaresan

Subjects: “…crop yield prediction, machine learning, deep learning, artificial neural networks, optimization algorithms…”
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Depression Detection in Social Media: A Comprehensive Review of Machine Learning and Deep Learning Techniques by Waleed Bin Tahir, Shah Khalid, Sulaiman Almutairi, Mohammed Abohashrh, Sufyan Ali Memon, Jawad Khan

Subjects: “…Deep learning…”
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Deep Learning based Individual Cattle Face Recognition using Data Augmentation and Transfer Learning by Caner Koç, Kamil Ekinci, Ömer Ertuğrul, Dilara Gerdan Koc, Havva Eylem Polat

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Possible restrictions of mathematics learning in transition from a teaching model to a learning model by Regina Novikienė, Stasė Petraitienė

“…First part discusses the way for theoretical grounding of a change possibility for a mathematics learning model. Second part reveals theoretic restrictions, which may occur, while changing a model of studying. …”
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Learning Slope and Position Effects in Rey Auditory Verbal Learning Test: Diagnostic Value in Schizophrenia by M. Alfimova, V.V. Plakunova, V.E. Golimbet

“…The study aimed to test the ability of learning slope and serial position effects to differentiate schizophrenia patients from non-psychiatric controls. …”
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Trust in Intrusion Detection Systems: An Investigation of Performance Analysis for Machine Learning and Deep Learning Models by Basim Mahbooba, Radhya Sahal, Wael Alosaimi, Martin Serrano

“…., intrusion detection system (IDS)), users can justifiably trust, one needs to evaluate the impact of trust using machine learning and deep learning technologies. To guide the design and implementation of trusted AI-based systems in IDS, this paper provides a comparison among machine learning and deep learning models to investigate the trust impact based on the accuracy of the trusted AI-based systems regarding the malicious data in IDs. …”
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The effect of teacher teaching, learning methods and students’ perceptions on the student's learning achievement in Medan city by Limega Candrasa, Cia Cai Cen

Subjects: “…how to teach teachers, online learning methods, student perceptions and student achievements…”
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