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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Machine Learning in Acute Stroke Neuroimaging. A Systematic Literature Review by D. Matuliauskas, I. Stražnickaitė, A. Samuilis, D. Jatužis

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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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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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The role of artificial intelligence and machine learning in predicting and combating antimicrobial resistance by Hazrat Bilal, Muhammad Nadeem Khan, Sabir Khan, Muhammad Shafiq, Wenjie Fang, Rahat Ullah Khan, Mujeeb Ur Rahman, Xiaohui Li, Qiao-Li Lv, Bin Xu

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PREDICTION OF TELECOM SERVICES CONSUMERS CHURN BY USING MACHINE LEARNING ALGORITHMS by Edin Osmanbegović, Anel Džinić, Mirza Suljić

Subjects: “…machine learning…”
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['UBI-XGB: IDENTIFICATION OF UBIQUITIN PROTEINS USING MACHINE LEARNING MODEL'] by Sikandar Rahu, Ali Ghulam, Ali Farman, Dhani Bux Talpur, Mir Sajjad Hussain Talpur, Erum Saba, Zulfikar Ahmed Maher, Saima Tunio

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An Assessment of Land Use Land Cover Using Machine Learning Technique by V. Pushpalatha, H. N. Mahendra, A. M. Prasad, N. Sharmila, D. Mahesh Kumar, N. M. Basavaraju, G. S. Pavithra and S. Mallikarjunaswamy

“…Remote sensing imagery, Geographic Information System (GIS) tools, and machine learning algorithms are leveraged to process and interpret satellite data for accurate land-cover classification. …”
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Verification of Classification Model and Dendritic Neuron Model Based on Machine Learning by Dongbao Jia, Weixiang Xu, Dengzhi Liu, Zhongxun Xu, Zhaoman Zhong, Xinxin Ban

“…Compared with common machine learning methods such as decision tree, support vector machine, k-nearest neighbor, and artificial neural networks, dendritic neuron model trained by biogeography-based optimization has significant advantages. …”
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Machine learning of swimming data via wisdom of crowd and regression analysis by Jiang Xie, Junfu Xu, Celine Nie, Qing Nie

“…For the first time, statistical analysis and machine learning methods are systematically applied to 4,022,631 swim records. …”
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Anomaly Detection in IoMT Environment Based on Machine Learning: An Overview by Peyman Vafadoost Sabzevar, Hamidreza Rokhsati, Alireza Chamansara, Ahmad Hajipour

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Machine Learning-Based Multiagent Control for a Bunch of Flexible Robots by Jun Wang, Jiali Zhang, Jafar Tavoosi, Mohammadamin Shirkhani

“…In this paper, two novel methodologies of employing machine learning (here, the type-2 fuzzy system) are presented to control a multiagent system in which the agents are flexible joint robots. …”
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Examining the Use of Machine Learning Algorithms to Enhance the Pediatric Triaging Approach by Aljubran HJ, Aljubran MJ, AlAwami AM, Aljubran MJ, Alkhalifah MA, Alkhalifah MM, Alkhalifah AS, Alabdullah TS

Subjects: “…machine learning…”
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Retracted: Risk Assessment of Government Debt Based on Machine Learning Algorithm by null Complexity

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Multiomic machine learning on lactylation for molecular typing and prognosis of lung adenocarcinoma by Mengmeng Hua, Tao Li

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Tiny Machine Learning Implementation for Guided Wave-Based Damage Localization by Jannik Henkmann, Vittorio Memmolo, Jochen Moll

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Cloud-Based Intrusion Detection Approach Using Machine Learning Techniques by Hanaa Attou, Azidine Guezzaz, Said Benkirane, Mourade Azrour, Yousef Farhaoui

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Enhancing Telemarketing Success Using Ensemble-Based Online Machine Learning by Shahriar Kaisar, Md Mamunur Rashid, Abdullahi Chowdhury, Sakib Shahriar Shafin, Joarder Kamruzzaman, Abebe Diro

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Machine learning-based prognostic model for patients with anaplastic thyroid carcinoma by Yihan Sun, Da Lin, Xiangyang Deng, Yinlong Zhang

“…This study aimed to develop and validate a prognostic model for predicting survival outcomes for ATC patients using random survival forests (RSF), a machine learning algorithm. Methods A total of 1222 ATC patients were extracted from the Surveillance, Epidemiology, and End Results (SEER) database and randomly divided into a training set of 855 patients and a validation set of 367 patients. …”
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