A deep learning-driven multi-layered steganographic approach for enhanced data security by Yousef Sanjalawe, Salam Al-E’mari, Salam Fraihat, Mosleh Abualhaj, Emran Alzubi

“…At the same time, the deep learning encoder adds layer of protection by concealing an image within another. …”
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Deep learning improves physician accuracy in the comprehensive detection of abnormalities on chest X-rays by Pamela G. Anderson, Hannah Tarder-Stoll, Mehmet Alpaslan, Nora Keathley, David L. Levin, Srivas Venkatesh, Elliot Bartel, Serge Sicular, Scott Howell, Robert V. Lindsey, Rebecca M. Jones

“…Here, we present an FDA-cleared, artificial intelligence (AI) system which uses a deep learning algorithm to assist physicians in the comprehensive detection and localization of abnormalities on chest X-rays. …”
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Exploring SME owners’ motivation to learn and acquire new skills for the adoption of e-commerce by Naledi D.D. Gallant, Anthea P. Amadi-Echendu, Elriza Esterhuyzen

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Development of an mPBPK machine learning framework for early target pharmacology assessment of biotherapeutics by Krutika Patidar, Nikhil Pillai, Saroj Dhakal, Lindsay B. Avery, Panteleimon D. Mavroudis

“…In the present work, we propose a machine learning-based target pharmacology assessment framework that utilizes minimal physiologically based pharmacokinetic (mPBPK) modeling and machine learning (ML) to infer optimal physicochemical properties of antibodies and their targets. …”
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Lessons learned from the upscaling of an iron bio-oxidation process to improve uranium recovery by Hubau, Agathe, Bru, Kathy, Idrissa Oumarou, Safiatou, Leycuras, Cécile

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Machine learning-driven optimization for predicting compressive strength in fly ash geopolymer concrete by Maryam Bypour, Mohammad Yekrangnia, Mahdi Kioumarsi

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RETRACTED: Post COVID green intellectual capital management with the mediation of organizational learning capability by Elena Rostislavovna Schislyaeva, Inna Petrovna Krasovskaya, Kristina Sergeevna Plis

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Rapid maize seed vigor classification using deep learning and hyperspectral imaging techniques by Papis Wongchaisuwat, Pongsan Chakranon, Achitpon Yinpin, Damrongvudhi Onwimol, Kris Wonggasem

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A robust, deep learning-based analysis of time-domain signals for NMR spectroscopy by Kyungdoe Han, Eunhee Kim, Kyoung-Seok Ryu, Donghan Lee

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Predicting Depression: a comparative study of machine learning approaches based on language usage. by Luciana Mariñelarena-Dondena, Edgardo Ferretti, Manolis Maragoudakis, Maximiliano Sapino, Marcelo Luis Errecalde

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Effect of educational content creators on student motivation and learning outcomes in the pandemic COVID-19 by Afni Zahrotulmuna Sya’ro, Eka Puspa Dewi

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Statistical and machine learning based platform-independent key genes identification for hepatocellular carcinoma. by Md Al Mehedi Hasan, Md Maniruzzaman, Jie Huang, Jungpil Shin

“…To solve these problems, we have taken datasets from multiple platforms and designed a statistical and machine learning-based system to determine platform-independent key genes (KGs) for HCC patients. …”
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A SYSTEMATIC REVIEW OF MOBILE-ASSISTED VOCABULARY LEARNING AND TEACHING IN ESL/EFL CONTEXT by Muhammad Nawaz, Malini Ganapathy, Sadaf Manzoor, Tess Ezzy, Shahzad Ul Hassan Farooqi

“…Malaysian Journal of Learning and Instruction…”
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River water quality monitoring using machine learning with multiple possible in-situ scenarios by Dani Irwan, Saerahany Legori Ibrahim, Sarmad Dashti Latif, Chris Aaron Winston, Ali Najah Ahmed, Mohsen Sherif, Amr H. El-Shafie, Ahmed El-Shafie

Subjects: “…Machine learning…”
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Exploring Students’ Perceptions of Learning Medical Terminology With Teacher-Made Flashcards Used Electronically by Iman Alizadeh, Farideh Ebrahimi, Afsane Dehnad

“…The study concludes that how the flashcards are developed aesthetically, how exhaustively they embrace the students’ needs for information, and how potentially efficaciously they contribute to learning mattered to the students. The study recommends that although teacher-made materials can support the delivery of knowledge and continuity of education, considering students’ feedback on and perceptions of the materials can help secure the quality and usability of the materials and ensure quality teaching and learning. …”
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Verbal paired associates learning lateralizes left hippocampal sclerosis in temporal lobe epilepsy by Andy Sitoh, David Weintrob, Jacqueline F. I. Anderson, Angela R. Jackman, Marie F. O'Shea, Graeme D. Jackson, Piero Perucca, Chris Tailby

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A systematic literature review and taxonomy proposition of machine learning techniques in smart manufacturing by Frederico de Oliveira Santos, Ivanete Schneider Hahn

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Personalized treatment strategies for breast adenoid cystic carcinoma: A machine learning approach by Sakhr Alshwayyat, Mahmoud Bashar Abu Al Hawa, Mustafa Alshwayyat, Tala Abdulsalam Alshwayyat, Siya sawan, Ghaith Heilat, Hanan M. Hammouri, Sara Mheid, Batool Al Shweiat, Hamdah Hanifa

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ACCEPTANCE OF A USB-BASED PORTABLE LEARNING RESOURCE ON LOCAL KNOWLEDGE (EXPERIENCE IN THE PHILIPPINES) by Angie R. Jalandoon, Liezel G. Mohillo, Dave E. Marcial

“…Specifically, this paper provides a descriptive analysis of Portable Learning Resource acceptance among the respondents in terms of performance expectancy, effort expectancy, attitudes toward using Portable Learning Resource, facilitating conditions, self-efficacy, anxiety, and behavioral intention to use Portable Learning Resource. …”
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Making Good Decisions: Television and Young Children’s Learning, A Parent Tip Sheet by David C. Diehl, Stephanie C. Toelle

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