A Review on Medical Image Analysis Using Deep Learning by Raju Egala, M. V. S. Sairam

“…The Deep Learning CNN (DL-CNN) assists as valuable tool to assist radiologist in diagnosis and improves efficiency and accuracy. …”
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Digital Processing and Deep Learning Techniques: A review of the Literature by Kifaa Hadi Thanoon, Abdulwahhb Fathee Shareef, Omar A. Alsaif

“…The first part of the presented study gives an overview regarding the approaches of digital image processing, while the second section introduces the concept of deep learning (DL) approaches and compares them. …”
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Optimizing affordances of high immersive virtual reality for language learning by Nuesser Michaela, Zheng Dongping, Dong Jin

“…In this article, we first present which common VR application features offer affordances for second language learning and then survey to what degree these features have been adopted in the reviewed studies. …”
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Developing Teachers as Researchers: A Case Study in Collaborative Learning by Joe Gazdula

“…The investigation used an open learning cycle based on an adaptation of Scharmer’s Theory U (2009) to create data collection stages which helped identify critical aspects in the development of participants and is presented as a case study investigation. …”
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INVESTIGATING THE STUDENTS’ VALUE ORIENTATIONS IN THE LEARNING ENVIRONMENT OF THE HIGHER SCHOOL by Natalya Ye. Zhdanova

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Children’s experience of distance learning – the everyday life of first graders by Jolanta Bonar, Zuzanna Zbróg

“…The purpose of this paper is to present the everyday school life of younger pupils in pandemic times. …”
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Powerful Learning Environments: A Guide to Designing Innovation Labs by Ineke Miltenburg, Ron Weerheijm

“…In this paper, we first explain the essence of an Innovation Lab or I-lab. We then present some additional considerations and various different approaches to designing a powerful learning environment like the I-Lab.…”
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Laser induced forward transfer imaging using deep learning by James A. Grant-Jacob, Michalis N. Zervas, Ben Mills

“…Abstract A novel approach for improving the accuracy and efficiency of laser-induced forward transfer (LIFT), through the application of deep learning techniques is presented. By training a neural network on a dataset of images of donor and receiver substrates, the appearance of copper droplets deposited onto the receiver was predicted directly from images of the donor. …”
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A Learning-Based Approach for Biomedical Word Sense Disambiguation by Hisham Al-Mubaid, Sandeep Gungu

“…In the biomedical domain, word sense ambiguity is a widely spread problem with bioinformatics research effort devoted to it being not commensurate and allowing for more development. This paper presents and evaluates a learning-based approach for sense disambiguation within the biomedical domain. …”
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Enhancing Problem-Solving Skills and Motivation through Cooperative Learning by Ahlam Debache

“… In the present paper, the goal set to assist learners in the process of strategically seeking as well as applying information is given a major consideration in the realm of education. the advantage of raising awareness of problem solving skills and encouraging learners to apply them are two main requirements which go hand in hand to increase performance throughout learning, for we noticed that being informed about some pieces of information does not inevitably necessitate its application but an active involvement into cooperative problem-solving activities fosters higher-order thinking skills namely deductive and inductive types of thinking within cooperative learning environment. …”
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Teleconsultation with a Developing Country: Student Reported Outcomes of Learning by Megan K. Foti, Crystal Eleazar, Kimberly A. Furphy

“…Data were collected through student presentations and coded for relevant themes. Analysis revealed new learning in the areas of the occupational therapy process, cultural awareness, and technology. …”
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Quantum key distribution as a quantum machine learning task by Thomas Decker, Marcelin Gallezot, Sven Florian Kerstan, Alessio Paesano, Anke Ginter, Wadim Wormsbecher

“…Abstract We propose considering Quantum Key Distribution (QKD) protocols as a use case for Quantum Machine Learning (QML) algorithms. We define and investigate the QML task of optimizing eavesdropping attacks on the quantum circuit implementation of the BB84 protocol. …”
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Machine learning message-passing for the scalable decoding of QLDPC codes by Arshpreet Singh Maan, Alexandru Paler

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Media Literacy and Learning: Conceptual Contribution in the Field of Media Education by Rubaid Ashfaq, Zeba Nabi

“…The article presents a review critical conceptual about media literacy and learning from Latin American traditions, American and European, based on the compilation and analysis of publications that deal with the two last decades. …”
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(EFL) Learners’ Perspectives on Vocabulary Learning through Reading and Listening by Sara Jamal Mohammed Faraj

“…Language skills in general and the two receptive skills of reading and listening in particular are of the most important value in enhancing new lexical items. The present study aimed at investigating the EFL students’ perspective on vocabulary learning via reading and listening skills. …”
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Smartphone-Based Application “quizizz†as a Learning Media by Ramadhan Prasetya Wibawa, Rohana Intan Astuti, Bayu Aji Pangestu

“…The concept of maximum learning will have an impact on improving student learning outcomes.…”
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Considering the ethics of large machine learning models in the chemical sciences by Evan Walter Clark Spotte-Smith

“…Foundation models, including large language models, vision-language models, and similar large-scale machine learning tools, are quickly becoming ubiquitous in society and in the professional world. …”
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Machine Learning Approach on Time Series for PV-Solar Energy by S. Sivakumar, B. Neeraja, M. Jamuna Rani, Harishchander Anandaram, S. Ramya, Girish Padhan, Saravanakumar Gurusamy

“…The PV system depends on the environmental conditions present at the moment, such as the humidity level, surface temperature of the PV system, and wind speed. …”
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Developing tunable machine learning workflow for traffic analysis in SDN by Samaan Sama Salam, Jeiad Hassan Awheed

“…Therefore, this paper is tailored to mitigate the control and mitigate the effect od the DDoS attacks in SDN networks. It presents a complete machine learning (ML) workflow that begins with data ingestion and end with a trained model that is capable of analyzing packets in a production network. …”
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Credit card fraud detection through machine learning algorithm by Agyan Panda, Bharath Yadlapalli, Zhi Zhou

“…At the same time, due to confidentiality considerations, public data is uncommon, leaving many questions unanswered about the best technique for dealing with them. We present some replies from the practitioners in this publication. …”
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