Klasifikasi Ekspresi Wajah Menggunakan Covolutional Neural Network by Ahmad Taufiq Akbar, Shoffan Saifullah, Hari Prapcoyo

“…Hasil menunjukkan akurasi tertinggi sebesar 90.6% dengan learning rate 0.001 pada pembagian 85% data latih dan 15% data uji, melebihi model yang lebih kompleks. …”
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Kombinasi Feature Selection Fisher Score dan Principal Component Analysis (PCA) untuk Klasifikasi Cervix Dysplasia by Krisan Aprian Widagdo, Kusworo Adi, Rahmat Gernowo

“…Dalam hal ini machine learning dapat mengatasi masalah tersebut. Akan tetapi, keakuratan machine learning bergantung pada fitur yang digunakan. …”
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Klasifikasi Teks Hadis Bukhari Terjemahan Indonesia Menggunakan Recurrent Convolutional Neural Network (CRNN) by Muhammad Yuslan Abu Bakar, Adiwijaya Adiwijaya

“…Pada penelitian ini, digunakan salah satu metode hibrid dalam dunia deep learning dengan menggabungkan Convolutional Neural Network dan Recurrent Neural Network, yaitu Convolutional Recurrent Neural Network (CRNN). …”
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Enhancing Sentiment Analysis with a CNN-Stacked LSTM Hybrid Model by Shao Shuaijie

“…The performance of the model can be further improved, offering valuable insights for future hybrid model development in machine learning tasks.…”
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The application research of ancient calligraphy recognition model based on improved filtering and AI technology in calligraphy education in colleges and universities by Xing You

“…Abstract With the increase of Chinese emphasis on calligraphy education, more and more students choose to learn calligraphy courses in colleges. However, the present process of calligraphy education lacks enough content of appreciation and learning of stele characters of ancient calligraphers. …”
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The Ecosystem of AI-Driven Robotics in Pediatric Neurorehabilitation by Tole Sutikno, Lina Handayani

“…We address this review to facilitate an in-depth analysis of the effective integration of advanced technologies, such as artificial emotional intelligence and interactive reinforcement learning, into rehabilitation practices. By critically assessing each element, from the psychological dynamics of patient engagement to the technical intricacies of real-time adaptive learning systems, we can better understand their pivotal roles in enhancing therapeutic efficacy. …”
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Humans rationally balance detailed and temporally abstract world models by Ari E. Kahn, Nathaniel D. Daw

“…We developed a task to measure SR usage during dynamic, trial-by-trial learning. Using this approach, we find that participants exhibit a mix of SR and model-based learning strategies that varies across individuals. …”
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Evaluation of the Toddler Family Development Activity Group by Selvie Nofriani Tansile, Finta Amalinda

“…The results showed that to evaluate the learning itself, if the scope of the family involved cadres, the evaluation was carried out by posyandu activities at the end of the month. …”
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An Exponentially Converging Particle Method for the Mixed Nash Equilibrium of Continuous Games by Wang, Guillaume, Chizat, Lénaïc

“…This problem arises for example in game-theory-inspired machine learning applications, such as distributionally-robust learning. …”
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AN ENHANCED MULTIMODAL BIOMETRIC SYSTEM BASED ON CONVOLUTIONAL NEURAL NETWORK by LAWRENCE OMOTOSHO, IBRAHIM OGUNDOYIN, OLAJIDE ADEBAYO, JOSHUA OYENIYI

“…Convolutional Neural Network is based on deep supervised learning model and was employed for training, classification, and testing of the system. …”
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A conceptual framework for designing human-centered building-occupant interactions to enhance user experience in specific-purpose buildings by N. Roofigari-Esfahan, E. Morshedzadeh

“…Qualitative coding and concept mapping were used to analyze the qualitative data and determine the impact of occupant-specific needs on the learning experience of students. “Finding study space” was found to have the highest direct impact on the learning experience of students, and “Indoor Environment Quality (IEQ)” was found to have the highest indirect impact. …”
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A Comparative Analysis of Support Vector Machine and K-Nearest Neighbors Models for Network Attack Traffic Detection by Han Zhuoxi

“…This research centers on the use of advanced machine learning methods, particularly Support Vector Machines (SVM) and K-Nearest Neighbors (KNN), to improve the detection of network attack traffic. …”
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SurvBeNIM: The Beran-Based Neural Importance Model for Explaining Survival Models by Lev V. Utkin, Danila Y. Eremenko, Andrei V. Konstantinov, Vladimir A. Muliukha

“…It aims to explain predictions of machine learning survival models, which are in the form of survival or cumulative hazard functions. …”
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CoAt-Set: Transformed coordinated attack dataset for collaborative intrusion detection simulationMendeley Data by Aulia Arif Wardana, Grzegorz Kołaczek, Parman Sukarno

“…CoAt-Set is compatible with standard machine learning frameworks, offering researchers and practitioners a comprehensive resource for developing, testing, and evaluating CIDS models. …”
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The effect of the shaw English online channel on the EFL students’ speaking ability by Riswanto Riswanto, Anita Anita, Kasmaini Kasmaini, Anisa Imelda

“…This study aims to investigate whether or not the learning strategy using YouTube videos from the Shaw English Online Channel is effective on students' speaking skills in asking questions and giving opinions. …”
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Diagnostic classification in toxicologic pathology using attention-guided weak supervision and whole slide image features: a pilot study in rat livers by Philip Zehnder, Jeffrey Feng, Trung Nguyen, Philip Shen, Ruth Sullivan, Reina N. Fuji, Fangyao Hu

“…Our model demonstrates improvements in diagnostic classification and attention heatmap quality over the previously described clustering-constrained-attention multiple-instance learning method on several lesion classes in rat livers (38% improvement in AUC). …”
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Penerapan Animasi 3D pada Media Pembelajaran Mengenal Huruf Vocal untuk Anak 2-4 Tahun by Riens Pratama, Riana Defi Mahadji Putri

“…In addition there is no media learning in the form of 3D animation. Anticipating these constraints, new learning media is needed using 3D animation. 3D animation can be implanted for the child to learn because in its development period the child has a tendency to emulate and observe so as to facilitate the child in receiving material. …”
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Working With the News Media by Ricky Telg

“… Learn to think like a reporter about what stories are newsworthy and how you can help them do their job better and get your message out to the public. …”
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Working With the News Media by Ricky Telg

“… Learn to think like a reporter about what stories are newsworthy and how you can help them do their job better and get your message out to the public. …”
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An Effective Triage Education Method for Triage Nurses: An Overview and Update by Zagalioti SC, Ziaka M, Exadaktylos A, Fyntanidou B

“…Nursing staff worldwide have similar learning characteristics with similar working hours and common goals, despite the fact that different triage scales are used globally. …”
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