TEKNIK GREEN SCREEN DALAM PENGEMBANGAN VIDEO PEMBELAJARAN PRAKTIKUM KEILMUAN SENI RUPA DAN DESAIN DI ERA PANDEMI COVID-19 by Deny Tri Ardianto, Anugrah Irfan ilIsma, Arif Ranu Wicaksono, Sayid Mataram, Rudy Wicaksono Herlambang

“…Hal ini memunculkan permasalahan mengenai bagaimana pendidik menyikapi fenomena online learning dalam mengembangkan media ajar berbasis video. …”
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Impact of Instructional Materials on the Teaching of Mathematics in Selected Secondary Schools in Mpigi District. by Bongole, Alex

“…The use of instructional materials in teaching has been a subject of interest and debate in the education community, with proponents arguing that they enhance learning experiences and outcomes. This research seeks to provide empirical evidence on the topic by examining the use of instructional materials on student's academic performance in mathematics. …”
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Performance Contract System and Decentralised Education Service delivery in Kayonza District of Rwanda. by Mugabo Seth, Asiimwe

“…The effectiveness of the system in education service delivery was found out to be influenced by factors such as teachers’ awareness and adoption of the system, motivation, level of happiness and commitment involvement of implementers at all levels, working environment, availability of resources and teachers attitudes on the importance of performance contract while the challenges in the implementation of the system were found to include limited awareness, dishonesty, low motivation, poor learning environment poor perception and adoption, lack of ownership of the process and poor evaluation criterion. …”
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Examining the Influence of Covid-19 Pandemic on Female Students’ Education in Secondary Schools in Kisoro Municipality, Uganda by Hadijah, Nalule

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Identification of a Typical CSTR Using Optimal Focused Time Lagged Recurrent Neural Network Model with Gamma Memory Filter by S. N. Naikwad, S. V. Dudul

“…A focused time lagged recurrent neural network (FTLR NN) with gamma memory filter is designed to learn the subtle complex dynamics of a typical CSTR process. …”
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Interactive Response Systems (IRS) in online English classes: Voices of foreign university teachers in Thailand by Kiki Juli Anggoro, Nurmala Nurmala

“…They aided in monitoring student attentiveness and comprehension while fostering independent learning. Challenges such as unequal internet access, device limitations, technology literacy, fees, workload, and language barriers existed, along with concerns about potential cheating during IRS activities.…”
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Extended IMD2020: a large‐scale annotated dataset tailored for detecting manipulated images by Adam Novozámský, Babak Mahdian, Stanislav Saic

“…Abstract Image forensic datasets need to accommodate a complex diversity of systematic noise and intrinsic image artefacts to prevent any overfitting of learning methods to a small set of camera types or manipulation techniques. …”
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Stretched at Both Ends: Pressure on Student Services and the Impact on Academic Staff at UK Universities by Gareth Hughes, Michael Priestley, Leigh Spanner

“…As a result, students increasingly present with mental health challenges in academic settings, multiplying risk for themselves, their peers, academic staff, and their universities, whilst negatively impacting the learning process. Thus, precisely as sectoral debate around UK universities’ legal duty of care intensifies, the role and responsibility of university services and academic staff in relation to other institutional and external stakeholders is becoming increasingly indeterminate. …”
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Modeling of Hyperparameter Tuned Fuzzy Deep Neural Network–Based Human Activity Recognition for Disabled People by Faiz Abdullah Alotaibi, Mrim M. Alnfiai, Fahd N. Al-Wesabi, Mesfer Alduhayyem, Anwer Mustafa Hilal, Manar Ahmed Hamza

“…HAR involves using technology, typically wearable devices or sensors, to automatically identify and classify human activities and movements. HAR using deep learning (DL) is an effective and popular method to automatically classify and identify human activities based on sensor information. …”
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TIE‐GCM ROPE ‐ Dimensionality Reduction: Part I by Piyush M. Mehta, Richard J. Licata

“…This work focuses on the dimensionality reduction step of the ROPE development process and addresses three limitations of the proof‐of‐concept: (a) extending the altitude upper boundary from 450 km to nearly 1000 km, (b) employing deep learning for nonlinear dimensionality reduction over principal component analysis (PCA) for improved performance during storm periods, and (c) maintaining the spatial resolution of the physical TIE‐GCM model, without down‐sampling, to preserve the spatial scales and variations. …”
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Structural Equation Modeling of Academic Procrastination Based on Motivational Beliefs with the Mediating Role of Academic Vitality Among Students by Rouhollah Salehitabar, Rahim Davari, Hossein Ebrahimimoghadam

“…Data collection tools included Solomon and Roth Bloom’s Academic Procrastination Questionnaire (1986), Pintrich and Digrott’s Motivational Strategies for learning questionnaire (1990), and Martin and Marsh’s academic vitality questionnaire (2008). …”
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Development of Competent Mathematical Speech of Students at Technical University by A. V. Muzhikova, M. N. Gabova

“…The development of literate speech of students, including mathematics, as one of the areas of communicative component of learning outcomes, is a requirement of higher education standards. …”
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An improved gray wolf optimization algorithm solving to functional optimization and engineering design problems by Yihui Qiu, Xiaoxiao Yang, Shuixuan Chen

“…First, the initial population is optimized using the lens imaging reverse learning algorithm for laying the foundation for global search. …”
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An Automatic System for Atrial Fibrillation by Using a CNN-LSTM Model by Fengying Ma, Jingyao Zhang, Wei Chen, Wei Liang, Wenjia Yang

“…In this paper, we proposed an automatic recognition method named CNN-LSTM to automatically detect the AF heartbeats based on deep learning. The model combines convolutional neural networks (CNN) to extract local correlation features and uses long short-term memory networks (LSTM) to capture the front-to-back dependencies of electrocardiogram (ECG) sequence data. …”
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Psychotherapeutic Methods of Coping with Stress in Everyday Life by Senol TURAN, Cana AKSOY POYRAZ

“…In "problem-focused" approaches targets are acquiring time management, self-monitoring, problem-solving skills, while in "emotion-focused" approaches, through ways of accepting or rejecting of stress associated negative emotions, or reconciling with these emotions, the target is learning how to keep emotions under control. "Problem-focused" and "emotion-focused" approaches may independently be used effectively in appropriate cases, their simultaneous practice may increase chances of successful treatment. …”
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Probabilistic Forecasting of Crude Oil Prices Using Conditional Generative Adversarial Network Model with Lévy Process by Mohammed Alruqimi, Luca Di Persio

“…Recent research highlights Generative Adversarial Networks (GANs) as a promising alternative approach for capturing intricate patterns in time series data, leveraging the adversarial learning framework. This paper introduces a Crude Oil-Driven Conditional GAN (CO-CGAN), a hybrid model for enhancing crude oil price forecasting by combining advanced AI frameworks (GANs), oil market sentiment analysis, and stochastic jump-diffusion models. …”
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Efektivitas Konseling REBT Pendekatan Teknik Self-Talk Untuk Menurunkan Tingkat Kecemasan Akademik Siswa Kelas X SMAN “A” Denpasar by Ni Kadek Rista Ary Putri, Ni Ketut Suarni, I Ketut Dharsana

“…This study aims to (1) find out the relationship between the use of the REBT counseling approach  to self-talk techniques to  reduce students' academic anxiety levels, (2) to know the benefits of the importance of self-talk techniques for students, (3) to find out the obstacles faced by students in the teaching and learning process in schools.  The method used in this study was Pretest-Posttest Control Group Design.  …”
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Secure UAV-Based System to Detect Small Boats Using Neural Networks by Moisés Lodeiro-Santiago, Pino Caballero-Gil, Ricardo Aguasca-Colomo, Cándido Caballero-Gil

“…The proposal makes extensive use of emerging technologies like Unmanned Aerial Vehicles (UAV) combined with a top-performing algorithm from the field of artificial intelligence known as Deep Learning through Convolutional Neural Networks. The use of this algorithm improves current detection systems based on image processing through the application of filters thanks to the fact that the network learns to distinguish the aforementioned objects through patterns without depending on where they are located. …”
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Causal Relationships Between the Use of AI, Therapeutic Alliance, and Job Engagement Among Psychological Service Practitioners by Boshra A. Arnout, Sami M. Alshehri

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