Optimizing Project-Based Learning in Developing 21st Century Skills: A Future Education Perspective by Adam Mudinillah, Dedi Kuswandi, Erwin Erwin, Sugiarni Sugiarni, Winarno Winarno, Annajmi Annajmi, Sam Hermansah

“… Many studies show that the effectiveness of project-based learning in the perspective of future education is influenced by 21st century skills. …”
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Comparative Analysis of Machine Learning Algorithms and Statistical Techniques for Data Analysis in Crop Growth Monitoring with NDVI by M. Arunachalam, S. Sekar, A. M. Erdmann, V. V. Sajith Variyar, R. Sivanpillai

“…We assessed the potential of Machine Learning (ML) for mapping crop growth in three flood irrigated fields. …”
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Spatiotemporal Forecasting of Solar and Wind Energy Production: A Robust Deep Learning Model with Attention Framework by Md. Shadman Abid, Razzaqul Ahshan, Mohammed Al-Abri, Rashid Al Abri

“…Moreover, the integrated spatiotemporal attention mechanism selectively focuses on significant spatial regions and time steps to enhance the prediction of spatiotemporal sequences of time-resolved grid data. …”
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Robust multiclass classification of crop leaf diseases using hybrid deep learning and Grad-CAM interpretability by Sankar Murugesan, Jayaprakash Chinnadurai, Saravanan Srinivasan, Sandeep Kumar Mathivanan, Radha Raman Chandan, Usha Moorthy

“…Abstract The key objective of this study is to propose an effective and accurate deep learning (DL) framework to detect and classify diseases in banana, cherry, and tomato leaves. …”
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Precision forecasting for hybrid energy systems using five deep learning algorithms for meteorological parameter prediction by Ceren Ceylan, Zehra Yumurtacı

“…In addition, most of the research uses the same algorithmic solution to all the meteorological parameters without identifying parameter-specific optimization potential, and recent research is verified on actual future time steps instead of historical train-test split. This study presents a comprehensive comparative analysis of five deep learning algorithms, Multilayer Perceptron (MLP), Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), and CNN-LSTM hybrid, for forecasting critical meteorological parameters (wind speed, ambient temperature, and solar radiation) that determine energy output in a wind and solar-based hybrid energy system (HES). …”
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Lived Experiences of Nursing Students and Educators on Self-Management in Teaching and Learning in Ghana: An Interpretive Phenomenological Study by Mercy Kokuro PhD (Nursing), M Nursing, Diploma (Education), BSc (Nursing), Diploma (Nursing), Talitha Crowley RN, PhD, Anita Serdyn van der Merwe BSocSc Hons (Nursing), MSocSc (Intensive Care Nursing), PhD (Nursing), BA Hons (Philosophy), Cornelle Young BA Nurs, B Hons Nurs, MCur, D Litt et Phil, RN

“…However, few studies have explored the experiences of nursing students and educators on self-management in the teaching and learning. Objective The study aimed to understand the lived experiences of self-management in teaching and learning context from the perspectives of nursing students and educators from different nursing colleges in Ghana. …”
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Deep Learning-Based Feature Extraction Technique for Single Document Summarization Using Hybrid Optimization Technique by Jyotirmayee Rautaray, Sangram Panigrahi, Ajit Kumar Nayak, Premananda Sahu, Kaushik Mishra

“…Initially, input documents undergo pre-processing steps, including sentence segmentation, word tokenization, stop word removal, and lemmatization, to enhance text quality. …”
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Diagnostic Models for Differentiating COVID-19-Related Acute Ischemic Stroke Using Machine Learning Methods by Eylem Gul Ates, Gokcen Coban, Jale Karakaya

“…Radiomic features were extracted from brain MR images following image processing steps. Various feature selection algorithms were applied to identify the most relevant features, which were then used to train and evaluate machine learning classification models. …”
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Retrieval of cloud fraction using machine learning algorithms based on FY-4A AGRI observations by J. Xia, L. Guan

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Efforts To Improve Arabic Languege Learning Outcomes Using Audio Visual Based Touchable Grammatical Method by Sri Puspita br Sitepu, San Putra

“…Kata Kunci: Strategi, Pembelajaran, Bahasa arab, Gramatikal, Audio-visual   Abstract This research is studied using a qualitative descriptive approach aimed at analyzing the approach in the teaching and learning process. As well as the steps applied to improve learning outcomes in the educational process at MtsS Al Washliyah 47 Binjai City. …”
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Optimizing radiomics for prostate cancer diagnosis: feature selection strategies, machine learning classifiers, and MRI sequences by Eugenia Mylona, Dimitrios I. Zaridis, Charalampos Ν. Kalantzopoulos, Nikolaos S. Tachos, Daniele Regge, Nikolaos Papanikolaou, Manolis Tsiknakis, Kostas Marias, ProCAncer-I Consortium, Dimitrios I. Fotiadis

“…Abstract Objectives Radiomics-based analyses encompass multiple steps, leading to ambiguity regarding the optimal approaches for enhancing model performance. …”
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Role of the amygdala opioid system in the effects of stress on the post-learning sleep patterns of male Wistar rats by Mehdi Graily-Afra, Farideh Bahrami, Zahra Bahari, Hedayat Sahraei, Zeinab Shankayi, Ali Gharib

“…Recordings of Rapid Eye Movement (REM) and Non-Rapid Eye Movement (NREM) sleep and wakefulness steps were made for the three hours prior to and three hours following the implementation of the immobility stress protocol and learning with the Barnes maze for three consecutive days. …”
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Classifying active and inactive states of growing rabbits from accelerometer data using machine learning algorithms by Mónica Mora, Lucile Riaboff, Ingrid David, Juan Pablo Sánchez, Miriam Piles

“…Different subsets of data containing an increasing number (from 5 to 25 in steps of 5) of the most informative features identified with random forest (RF) were used to train a binary classification model (inactive as a positive class). …”
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MENINGKATKAN MOTIVASI DAN HASIL BELAJAR MELALUI PROBLEM BASED LEARNING DI SDN MEDANI 02 by Emy Mardiastuti

“…This CAR is carried out in class III SD Negeri Medani 02 with a total of 7 students consisting of 2 male students and 5 female students. This Problem Based Learning Learning Model consists of five steps, Orientation of students to problems, Organizing students to learn, Guiding individual or group experiences, Developing and presenting work, Analyzing and evaluating the problem solving process. …”
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من ناحية المادة الدراسيةـ MTsS Darul Ulum Banda Aceh تدريس النحو بـــــ by Cut Nadia Salsabila, Salami Mahmud, Fajriah Fajriah

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The Design of the Problem Analysis-Based E-Teaching Materials for the Tahsin Al-Quran Course by Fauza Masyhudi, Ilpi Zukdi, Rendy Nugraha Frasandy, Alfurqan Alfurqan, Annisaul Khairat

“…This research reveals the important steps taken in designing e-teaching material product. …”
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A system for generating chatbots to support learning in the field of exact sciences using generative artificial intelligence models by Oleksandr Prokhorov, Dmytro Shymko, Olena Kuzminska, Andrey Chukhray, Oleksii Shatalov, Oleksandr Kholodniak

“…The effectiveness of the proposed approach is illustrated through examples of creating an assistant bot, a bot for generating variants of mathematical problems and step-by-step explanations of their solutions, and testing bots, which demonstrated cost optimization and more efficient resource utilization. …”
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Learning Curve of Novice Foot and Ankle Surgeon on Minimal Invasive Calcaneus Surgery Using the Sinus Tarsi Approach by Young Uk Park MD, PhD, Youngwook Seo MD

“…The degree of correction for the Bohler angle, hindfoot varus angle, and posterior facet step-off was analyzed using preoperative and postoperative X-rays and Computed Tomography. …”
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LISTENING AND SPEAKING SKILLS AS LEARNING AND TARGET NEEDS IN BUSINESS ENGLISH PROGRAM FOR TOUR GUIDE DIPLOMA STUDENTS IN KENYA. by Douglas Ondara Orang'i

“…That notwithstanding, ESP practitioners are ignoring this very paramount step when designing a course. Consequently, this paper looked at the target and language learning needs of tour guide learners pursuing an ESP course in Kenya from the students’ perspective, teachers’ perceptions and employers’ perceptions as far as the ESP course offered to learners is concerned. …”
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Classifying forensically important flies using deep learning to support pathologists and rescue teams during forensic investigations. by Anna Katharina Gohe, Marius Johann Kottek, Ricardo Buettner, Pascal Penava

“…In terms of inference time, the MobileNetV3-Large model was faster with an average time per step of 1.036 seconds than the VGG19 model, which took 2.066 seconds per step. …”
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