Human mobility is well described by closed-form gravity-like models learned automatically from data by Oriol Cabanas-Tirapu, Lluís Danús, Esteban Moro, Marta Sales-Pardo, Roger Guimerà

“…Here, we show that simple machine-learned, closed-form models of mobility can predict mobility flows as accurately as complex machine learning models, and extrapolate better. …”
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Using deep learning model integration to build a smart railway traffic safety monitoring system by Chin-Chieh Chang, Kai-Hsiang Huang, Tsz-Kin Lau, Chung-Fah Huang, Chun-Hsiung Wang

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Unlocking the link: predicting cardiovascular disease risk with a focus on airflow obstruction using machine learning by Xiyu Cao, Jianli Ma, Xiaoyi He, Yufei Liu, Yang Yang, Yaqi Wang, Chuantao Zhang

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Grisotti flap for central quadrant breast tumours: quick, cosmetic and easy to learn – a case series by Sharma Shivaji, Pao Karan

“…Interpretation: Lumpectomy with resection of the NAC with Grisotti flap reconstruction is a relatively fast procedure with a short learning curve. In our case series of 7 women, all underwent successful breast reconstruction with minimum morbidity and excellent cosmetic outcome.…”
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PREDICTING STOCK PRICE DIRECTION OF EUROZONE BANKS: CAN DEEP LEARNING TECHNIQUES OUTPERFORM TRADITIONAL MODELS? by Bogdan Ionuț ANGHEL

“…The findings suggest that traditional machine learning models are more effective than advanced deep learning models for predicting stock price direction in the Eurozone banking sector. …”
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Multi-dimensional perceptual recognition of tourist destination using deep learning model and geographic information system. by Shengtian Zhang, Yong Li, Xiaoxia Song, Chenghao Yang, Niusha Shafiabady, Robert M X Wu

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Machine learning optimized design of THz piezoelectric perovskite-based biosensor for the detection of formalin in aqueous environments by Jacob Wekalao, Shobhit K. Patel, Om Prakash Kumar, Fahad Ahmed Al-zahrani

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SSL-MBC: Self-Supervised Learning With Multibranch Consistency for Few-Shot PolSAR Image Classification by Wenmei Li, Hao Xia, Bin Xi, Yu Wang, Jing Lu, Yuhong He

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SCHOOL-BASED VIOLENCE AND PEACE: IMPROVING LEARNING IN HIGHER EDUCATION AMONG ADULT SURVIVORS OF SCHOOL BULLYING by Jonathan Chukwuemeka Madu, Abugu Solomon Ogbonna

“…The study indicates that bullying experienced in secondary school could adversely affect the self-esteem and performance of the survivors at tertiary education level and importance of earlier intervention to improve learning. …”
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Continuous professional development and instructors’ beliefs about and practice of active learning method in Bahir Dar university by Mulugeta Teka Kahsay

“…They responded to a questionnaire having two parts: beliefs about active learning methods and application of active learning methods. …”
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RETRACTED: Bone Age Assessment Based on Deep Convolutional Features and Fast Extreme Learning Machine Algorithm by Longjun Guo, Juan Wang, Jiaqi Teng, Yukun Chen

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Insights into simulation-based learning: student and faculty experiences in a PharmD program in Saudi Arabia by Reem Binsuwaidan, Najla A. Altwaijry, Alnada A. Ibrahim, Rawan A. Alghamdi, Razan Bin Humaid, Alaa A. AlSharif, Alaa A. AlHubaishi, Elshaymaa I. Elmongy, Lina I. Alnajjar, Ghadah H. Alshehri

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Evaluating pre-processing and deep learning methods in medical imaging: Combined effectiveness across multiple modalities by Thien B. Nguyen-Tat, Tran Quang Hung, Pham Tien Nam, Vuong M. Ngo

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Digital technologies in music education. Using Digital Audio Workstations (DAW) with Project-Based Learning (PBL) by María Elena Cuenca-Rodríguez, Ignacio Pascual-Moltó, Raquel Pastor-Prada

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A Novel MoCo-Based Self-Supervised Learning Framework for Solar Panel Defect Detection by Jun Huang, Shamsul Arrieya Ariffin, Yongqiang Chen, Jinghui Lin, Wanting Xu

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Metode Deteksi Intrusi Menggunakan Algoritme Extreme Learning Machine dengan Correlation-based Feature Selection by Sulandri Sulandri, Achmad Basuki, Fitra Abdurrachman Bachtiar

“…The method used to do intrusion detection by classification is using the Extreme Learning Machine (ELM) method. However, using the ELM method alone is not able to produce good accuracy, so the ELM method needs to be added to the Correlation-Based Feature Selection (CFS) feature selection method to improve the accuracy and computational time. …”
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Decoding Consumer Behavior in the Used Car Market: A Machine Learning Approach to Key Decision Factors by Zhang Minshun

“…The focus is on how online and offline trading platforms affect purchasing behavior. Using machine learning techniques, the paper compares multiple models to predict key purchase factors and visualize the data through various graphs. …”
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Integrating fault detection and classification in microgrids using supervised machine learning considering fault resistance uncertainty by Morteza Barkhi, Javad Pourhossein, Seyed Ali Hosseini

“…This paper uses data analysis to extract knowledge from locally available measurements using RMS values of symmetrical components. The learning-based characteristic of the suggested technique with a low computational burden exempts the need for an available communication infrastructure in the MG. …”
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Identification of Plasma Proteins Associated with Alzheimer's Disease Using Feature Selection Techniques and Machine Learning Algorithms by Zakaria Mokadem, Mohamed Djerioui, Bilal Attallah, Youcef Brik

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Building Creative Capacity Building in University Graduates: What we can learn from boids and voids by McWilliam Erica

“…Given that the challenge of setting up a learning environment that fosters such a complex mix of relational dynamics is not a simple matter of ensuring that people feel good about themselves, the paper canvasses two areas of research that can be usefully bought together to provide principles on which to build learning environment for ‘high flying’ creatives.…”
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