From data to diagnosis: leveraging deep learning in IoT-based healthcare by Miracle A. Atianashie, Chukwuma Chinaza Adaobi

“… In the evolving landscape of healthcare, the integration of deep learning within the Internet of Things (IoT) presents transformative potentials for medical diagnostics and patient care. …”
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INTERACTIVE WEB 2.0 TOOLS IN CONTENT AND LANGUAGE INTEGRATED LEARNING by Rinata R. Zaripova, Leila L. Salekhova, Andrew V. Danilov

Subjects: “…content and language integrated learning…”
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Stock Price Prediction in the Financial Market Using Machine Learning Models by Diogo M. Teixeira, Ramiro S. Barbosa

“…This paper presents an analysis of stock price forecasting in the financial market, with an emphasis on approaches based on time series models and deep learning techniques. Fundamental concepts of technical analysis are explored, such as exponential and simple averages, and various global indices are analyzed to be used as inputs for machine learning models, including Recurrent Neural Network (RNN), Long Short-Term Memory (LSTM), Gated Recurrent Unit (GRU), Convolutional Neural Network (CNN), and XGBoost. …”
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Implementation of learning reading and writing activities for 5th class students by La Rabani, Mansyur M

Subjects: “…learning indonesian, elementary school, literacy reading, writing activities…”
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The Learning Continuum: A Model for Sustained Participation with Hard-to-Serve Clients by Elizabeth B. Bolton

“… This report, The Learning Continuum: A Model for Sustained Participation with Hard-to-Serve Clients, is part of the UF/IFAS Welfare-to-Work Initiative (Grant #A6218) funded by the Florida Agency for Workforce Innovation (formerly Florida Department of Labor and Employment Security). …”
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THE IMPLEMENTATION OF LIVING HADITH TO INCREASE THE LEARNING MOTIVATION OF CHILDREN WITH SPECIAL NEEDS by Putri Nadha Setyaningrum, Yasri Mandar

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Incorporating Machine Learning in Capture-Recapture Estimation of Survey Measurement Error by Maaike Walraad, Jonas Klingwort, Joep Burger

“…Results show that machine learning clearly outperforms the regression models, but the obtained CRC point estimates remain largely unaffected. …”
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Machine learning-enhanced gesture recognition through impedance signal analysis by Huynh Hoang Nhut, Diep Quoc Tuan Nguyen, Dinh Minh Quan Cao, Tran Anh Tu, Dang Nguyen Chau, Phan Thien Luan, Tran Trung Nghia, Ching Congo Tak Shing

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Forecasting insect abundance using time series embedding and machine learning by Gabriel R. Palma, Rodrigo F. Mello, Wesley A.C. Godoy, Eduardo Engel, Douglas Lau, Charles Markham, Rafael A. Moral

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Machine learning and Fuzzy logic fusion approach for osteoporosis risk prediction by Rabia Khushal, Dr. Ubaida Fatima

Subjects: “…Fuzzy data transformation technique using three variables, fuzzy machine learning logic model for crisp output…”
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Deep Learning Framework for Advanced De-Identification of Protected Health Information by Ahmad Aloqaily, Emad E. Abdallah, Rahaf Al-Zyoud, Esraa Abu Elsoud, Malak Al-Hassan, Alaa E. Abdallah

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Predicting the Compressive Strength of Recycled Concrete Using Ensemble Learning Model by Binghao Pan, Wensheng Liu, Pan Zhou, Dapeng Oliver Wu

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Combining Machine Learning Models to Improve Estimated Time of Arrival Predictions by Ramon Dalmau, Aymeric Trzmiel, Stephen Kirby

Subjects: “…machine learning…”
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Social demonstration of colour preference improves the learning of associated demonstrated actions by Noam Zurek, Na’ama Aljadeff, Donya Khoury, Lucy M. Aplin, Arnon Lotem

Subjects: “…Social learning…”
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Trust expansion and listwise learning-to-rank based service recommendation method by Chen FANG, Hengwei ZHANG, Ming ZHANG, Jindong WANG

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A Scoping Review of Literature on Deep Learning Techniques for Face Recognition by Andisani Nemavhola, Serestina Viriri, Colin Chibaya

“…Deep learning has led to the creation of facial recognition technologies using convolutional neural networks (CNNs). …”
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English Teaching Centered on the Application of Learning Styles Perceived in Academic Contexts by NADHIM ALI

Subjects: “…Learning Styles, Student's Preferences, Perceptual Learning, and Gender…”
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Learning-based page replacement scheme for efficient I/O processing by Hwajung Kim

Subjects: “…Reinforcement Learning…”
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Binary Classification of Customer’s Online Purchasing Behavior Using Machine Learning by Ahmad Aldelemy, Raed A. Abd-Alhameed

Subjects: “…Machine Learning…”
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Deep Learning-Based Dynamic Stable Cluster Head Selection in VANET by Muhammad Asim Saleem, Zhou Shijie, Muhammad Umer Sarwar, Tanveer Ahmad, Amarah Maqbool, Casper Shikali Shivachi, Maham Tariq

“…An adaptive spectrum sensing is designed for evaluating the trust values specifically for the primary users. A deep recurrent learning network, commonly known as long short-term memory (LSTM), is trained for the probability of detection with various signals and noise conditions. …”
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