Klasifikasi Mahasiswa HER Berbasis Algoritma SVM dan Decision Tree by Jajang Jaya Purnama, Hendri Mahmud Nawawi, Susy Rosyida, Ridwansyah Ridwansyah, Risnandar Risnandar

“…SVM dan DT adalah salah satu metode klasifikasi supervised learning. Oleh karena itu, dalam penelitian ini menggunakan SVM dan DT. …”
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Intricacies of human–AI interaction in dynamic decision-making for precision oncology by Dipesh Niraula, Kyle C. Cuneo, Ivo D. Dinov, Brian D. Gonzalez, Jamalina B. Jamaluddin, Jionghua Judy Jin, Yi Luo, Martha M. Matuszak, Randall K. Ten Haken, Alex K. Bryant, Thomas J. Dilling, Michael P. Dykstra, Jessica M. Frakes, Casey L. Liveringhouse, Sean R. Miller, Matthew N. Mills, Russell F. Palm, Samuel N. Regan, Anupam Rishi, Javier F. Torres-Roca, Hsiang-Hsuan Michael Yu, Issam El Naqa

“…We investigated two levels of collaborative behavior: model-agnostic and model-specific; and found that Human–AI interaction is multifactorial and depends on the complex interrelationship between prior knowledge and preferences, patient’s state, disease site, treatment modality, model transparency, and AI’s learned behavior and biases. In summary, some clinicians may disregard AI recommendations due to skepticism; others will critically analyze AI recommendations on a case-by-case basis; clinicians will adjust their decisions if they find AI recommendations beneficial to patients; and clinician will disregard AI recommendations if deemed harmful or suboptimal and seek alternatives.…”
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Evaluation of choices and time spent on an open online elective course by undergraduate medical students during the COVID-19 pandemic by Z Mfeka, A Turner, J E Wolvaardt, D Muganhiri

“…The most popular LinkedIn Learning course was The Six Morning Habits of High Performers. …”
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Pengembangan Sistem Pemantauan Sentimen Berita Berbahasa Indonesia Berdasarkan Konten dengan Long-Short-Term Memory by Dewi Yanti Liliana, Nadia Nurul Hikmah, Maykada Harjono

“…This requires the development of an automatic online news sentiment classification system for monitoring Indonesian news. Machine learning-based automatic classification systems are carried out by building a learning model from a news corpus originating from news sites. …”
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Sustained effects of bladder point-of-care ultrasound simulation exercise on nursing students: A prospective cohort study by Tomoyoshi Naito, Akiko Hashizumi, Masako Sakai, Emiko Yamamura, Miho Iwase, Kiyomi Yamada, Masako Watanabe, Nobuo Kimura, Takako Kato, Eiko Fujimoto, Rie Kashihara

“…The secondary outcomes were the Self-Directed Learning Readiness Scale (SDLRS) and Student Satisfaction and Self-Confidence in Learning (SSSCLS) scores. …”
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Advancements and trends in mangrove species mapping based on remote sensing: A comprehensive review and knowledge visualization by Yuqi Wu, Chunyan Lu, Kexin Wu, Wenna Gao, Nuocheng Yang, Jingwen Lin

“…Classification algorithm development has evolved four stages, from pixel-based methods to object-oriented approaches, progressing to approaches incorporating machine learning algorithms, and currently advancing towards ensemble learning and deep learning. …”
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Improving Network Security: An Intelligent IDS with RNN-LSTM and Grey Wolf Optimization by murtadha ali

“…Made for network security by combining deep learning and optimization, tests reached 99.5% accurate. …”
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Global initiatives and challenges in integrating artificial intelligence literacy in elementary education: Mapping policies and empirical literature by Ibrahim H. Yeter, Weipeng Yang, Joshita B. Sturgess

“…In line with this purpose, this study explores worldwide AI literacy initiatives that use hands‐on activities, collaborative learning, and project‐based learning to introduce AI fundamentals to diverse learners. …”
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Metacognitive Awareness and Self-Efficacy: A Closer Look at the Profiles of Arabic Learners at an Islamic University in Indonesia by Diana Nur Sholihah

“…While numerous studies have established the roles of metacognitive awareness and self-efficacy in foreign and second language teaching and learning, research specifically focusing on Arabic language acquisition in this context remains limited. …”
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The Impact of Feedback on the Different Time Courses of Multisensory Temporal Recalibration by Matthew A. De Niear, Jean-Paul Noel, Mark T. Wallace

“…Collectively, our findings illustrate that feedback signals promote and sustain audiovisual recalibration over the course of cumulative learning and enhance rapid trial-to-trial learning. …”
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Gender-Leadership in the Ivory Tower: A Case Study of Institutions of Higher Education in Taraba State by Salama Bako, Abigail Karfe, Godswill Moses

“…Hypotheses were tested at 0.05 level of significance using a t-test.Results: The findings revealed no significant difference in the mean rating scores of women representations in leadership positions in Taraba State institutions of higher learning between academic and non-academic staff. Furthermore, the findings revealed no significant difference in the mean rating scores of underrepresentation of women in leadership positions in Taraba State institutions of higher learning between academic and non-academic staff. …”
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Differential Grey Wolf Load-Balanced Stochastic Bellman Deep Reinforced Resource Allocation in Fog Environment by S. V. Nethaji, M. Chidambaram

“…In a Stochastic Gradient and Deep Reinforcement Learning-based Resource Allocation Model, a stochastic gradient bellman optimality function and Deep Reinforcement Learning are integrated for optimal resource allocation. …”
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An effective feature selection approach based on hybrid Grey Wolf Optimizer and Genetic Algorithm for hyperspectral image by Yiqun Shang, Minrui Zheng, Jiayang Li, Xinqi Zheng

“…The innovation of GWOGA lies in three core strategies: (1) chaotic map and Opposition-Based Learning (OBL) for uniformly distributed population initialization, enhancing diversity and mitigating premature convergence; (2) elite learning strategy to prioritize high-ranking solutions, strengthening the search hierarchy and efficiency; and (3) a hybrid optimization mechanism where GWO ensures rapid early-stage convergence, while GA refines global search in later stages to escape local optima. …”
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Network Anomaly Detection Using Quantum Neural Networks on Noisy Quantum Computers by Alon Kukliansky, Marko Orescanin, Chad Bollmann, Theodore Huffmire

“…The escalating threat and impact of network-based attacks necessitate innovative intrusion detection systems. Machine learning has shown promise, with recent strides in quantum machine learning offering new avenues. …”
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Shipyard Manpower Digital Recruitment: A Data-Driven Approach for Norwegian Stakeholders by Bogdan Florian Socoliuc, Andrei Alexandru Suciu, Mădălina Ecaterina Popescu, Doru Alexandru Plesea, Florin Nicolae

“…The application of machine learning algorithms provides predictive insights that support real-time adjustments to job postings, optimizing recruitment strategies. …”
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A New Methodology of Design and Development of Serious Games by André F. S. Barbosa, Pedro N. M. Pereira, João A. F. F. Dias, Frutuoso G. M. Silva

“…First of all, the player has to feel that he is playing a game where the learning is only a consequence of the playing actions. …”
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A large-scale dataset for Chinese historical document recognition and analysis by Yongxin Shi, Dezhi Peng, Yuyi Zhang, Jiahuan Cao, Lianwen Jin

“…Recently, researchers have tried to utilize deep-learning techniques to automate recognition and analysis. …”
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Exploring pre-service English teachers’ perceptions and practices of critical thinking in Indonesian EFL classrooms by Ganang Kuswandaru, Willy Prasetya

“…Critical thinking is essential for success in the 21st century, particularly in language learning. This study explores pre-service English language teachers’ (ELTs) perceptions and practices regarding critical thinking instruction in Indonesia. …”
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A Novel Method to Forecast Nitrate Concentration Levels in Irrigation Areas for Sustainable Agriculture by Halil Karahan, Müge Erkan Can

“…The proposed model, although based on an artificial neural network (ANN), also has the potential to be adapted for methods used in machine learning and artificial intelligence, such as Support Vector Machines, Decision Trees, Random Forests, and Ensemble Learning Methods.…”
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Superpixel guided spectral-spatial feature extraction and weighted feature fusion for hyperspectral image classification with limited training samples by Yao Li, Liyi Zhang, Lei Chen, Yunpeng Ma

“…Abstract Deep learning is a double-edged sword. The powerful feature learning ability of deep models can effectively improve classification accuracy. …”
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