Real-time classification of EEG signals using Machine Learning deployment by Swati CHOWDHURI, Satadip SAHA, Samadrita KARMAKAR, Ankur CHANDA

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New Heuristics Method for Malicious URLs Detection Using Machine Learning by Maher Kassem Hasan

Subjects: “…Malicious URLs, Machine Learning, Cybersecurity, Logistic Regression, Random Forest, Support Vector Machines…”
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Retracted: Travel Time Estimation by Learning Driving Habits and Traffic Conditions by Journal of Advanced Transportation

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Applications of Deep Learning in the Evaluation and Analysis of College Students’ Mental Health by Lanfeng Zhou

“…It is an important research direction of mental health discipline in the current era to evaluate and analyze college students’ mental health by using deep learning methods and form visual data characteristics and analyzable discipline conclusions. …”
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A Deep Learning-Based Approach to Garbage Detection in urban centers by Slvar Abdulazeez Arif, Abubakar M. Ashir

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Publisher Correction: A generic self-learning emotional framework for machines by Alberto Hernández-Marcos, Eduardo Ros

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Deep learning empowered sensor fusion boosts infant movement classification by Tomas Kulvicius, Dajie Zhang, Luise Poustka, Sven Bölte, Lennart Jahn, Sarah Flügge, Marc Kraft, Markus Zweckstetter, Karin Nielsen-Saines, Florentin Wörgötter, Peter B. Marschik

“…Available deep learning tools, all of which are based on single sensor modalities, are however still considerably inferior to that of well-trained human assessors. …”
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Machine Learning in Acute Stroke Neuroimaging. A Systematic Literature Review by D. Matuliauskas, I. Stražnickaitė, A. Samuilis, D. Jatužis

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Using a NLSI to deliver the Effective Learning Programme: problems and practicalities by Bob Hunter

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Using machine learning to study the population life quality: methodological aspects by E. V. Shchekotin, В. Л. Гойко, P. A. Basina, B. B. Bakulin

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Polarimetric image recovery method with domain-adversarial learning for underwater imaging by Fei Tian, Jiuming Xue, Zhedong Shi, Hongling Luo, Wanyuan Cai, Wei Tao

“…Polarization information benefits image recovery, and existing learning-based polarimetric imaging methods ignore multiple water types (viewed as domains) and domain generalization. …”
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ELECTRONIC LEARNING FOR EDUCATIONAL SUSTAINABILITY IN THE PANDEMIC ERA: A CRITICAL REVIEW by HADI BUHARI SHUAYAU, HUSSAINI IBRAHIM SULE

“…It is worth noting that electronic learning, often known as virtual or e-learning, was previously neglected, particularly in underdeveloped nations. …”
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Developing Financial Forecast Modeling With Deep Learning On Silver/Ons Parity by Adem Üntez, Mümtaz İpek

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Automating the amino acid identification in elliptical dichroism spectrometer with Machine Learning. by Ridhanya Sree Balamurugan, Yusuf Asad, Tommy Gao, Dharmakeerthi Nawarathna, Umamaheswara Rao Tida, Dali Sun

“…Therefore, this study presents a pioneering Machine Learning (ML) approach for automatic amino acid identification by utilizing the unique absorption profiles from an Elliptical Dichroism (ED) spectrometer. …”
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Federated Learning for Brain Tumor Diagnosis: Methods, Challenges and Future Prospects by Ma Yuhan

“…With the widespread application of Artificial Intelligence (AI) and Machine Learning (ML) in medical field, early diagnosis of brain tumors has become increasingly significant. …”
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Efficient learning strategies: Student attraction to entrepreneurship lessons using technology by Azmy Ramelan Kurniawan, S. Sistiyani, Zalfa Feyza Qolbi

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Self-Regulated Learning is not for Everyone: Towards an Explanation for the Heterogeneous Effects of Interventions by M. S. Khamidulina, N. G. Maloshonok

Subjects: “…self-regulated learning…”
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Pendeteksi Citra Masker Wajah Menggunakan CNN dan Transfer Learning by Mohammad Farid Naufal, Selvia Ferdiana Kusuma

“…Convolutional Neural Network (CNN) merupakan algoritma deep learning yang memiliki performa bagus dalam klasifikasi citra. …”
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FORMATION OF STUDENTS’ SCIENTIFIC THINKING BASED ON THE LEARNING OF METHODS OF THE SUBSTANCE ANALYSIS by M. A. Kosareva, L. A. Baikova, E. A. Nikonenko, V. V. Vaitner, A. N. Gabdullin

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Multi‐Wound Classification: Exploring Image Enhancement and Deep Learning Techniques by Prince Odame, Maxwell Mawube Ahiamadzor, Nana Kwaku Baah Derkyi, Kofi Agyekum Boateng, Kelvin Sarfo‐Acheampong, Eric Tutu Tchao, Andrew Selasi Agbemenu, Henry Nunoo‐Mensah, Dorothy Araba Yakoba Agyapong, Jerry John Kponyo

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