Deep and Machine Learning for Acute Lymphoblastic Leukemia Diagnosis: A Comprehensive Review by Mohammad Faiz, Bakkanarappa Gari Mounika, Mohd Akbar, Swapnita Srivastava

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Bioinformatics combining machine learning and single-cell sequencing analysis to identify common mechanisms and biomarkers of rheumatoid arthritis and ischemic heart failure by Ziyi Sun, Jianguo Lin, Xiaoning Sun, Zhangjun Yun, Xiaoxiao Zhang, Siyu Xu, Jinlong Duan, Kuiwu Yao

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Machine learning techniques for predicting neurodevelopmental impairments in premature infants: a systematic review by Arantxa Ortega-Leon, Daniel Urda, Ignacio J. Turias, Simón P. Lubián-López, Simón P. Lubián-López, Isabel Benavente-Fernández, Isabel Benavente-Fernández, Isabel Benavente-Fernández

Subjects: “…machine learning…”
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Advancements in training and deployment strategies for AI-based intrusion detection systems in IoT: a systematic literature review by S. Kumar Reddy Mallidi, Rajeswara Rao Ramisetty

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Three-stage automatic operational modal analysis using mathematical mode elimination by density-based clustering method by A. Salar Mehrabad, A. Shooshtari

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Progress in prediction of photocatalytic CO2 reduction using machine learning approach: A mini review by Md Mohshin Ali, Md. Arif Hossen, Azrina Abd Aziz

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Standardization for Data Generation and Collection in the Dairy Industry: Addressing Challenges and Charting a Path Forward by Michel Baldin, Jeffrey M. Bewley, Victor E. Cabrera, Kevin Jones, Connie Loehr, Gustavo Mazon, Juan D. Perez, Matthew Utt, Jeff Weyers

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HydroEcoLSTM: A Python package with graphical user interface for hydro-ecological modeling with long short-term memory neural network by Tam V. Nguyen, Vinh Ngoc Tran, Hoang Tran, Doan Van Binh, Toan D. Duong, Thanh Duc Dang, Pia Ebeling

Subjects: “…Machine learning…”
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A Collection of Machine Learning Models for Improved Airport Operations Amidst Adverse Weather Conditions by Ramon Dalmau, Jonathan Attia

Subjects: “…Machine Learning…”
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Improving molecular subtypes and prognosis of pancreatic cancer through multi group analysis and machine learning by Xue-Jian Zhang, Fang-Fang Lin, Ya-Qing Wen, Kun-Ping Guan

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Developing an Hourly Water Level Prediction Model for Small- and Medium-Sized Agricultural Reservoirs Using AutoML: Case Study of Baekhak Reservoir, South Korea by Jeongho Han, Joo Hyun Bae

Subjects: “…automated machine learning…”
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Biodegradation of CAHs and BTEX in groundwater at a multi-polluted pesticide site undergoing natural attenuation: Insights from identifying key bioindicators using machine learning... by Feiyang Xia, Tingting Fan, Mengjie Wang, Lu Yang, Da Ding, Jing Wei, Yan Zhou, Dengdeng Jiang, Shaopo Deng

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AI Algorithms as (un)virtuous knowers by Hans Van Eyghen

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Evaluation of Machine Learning Assisted Phase Behavior Modelling of Surfactant–Oil–Water Systems by Daulet Magzymov, Meruyert Makhatova, Zhassulan Dairov, Murat Syzdykov

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A Review of Environmental Perception Technology Based on Multi-Sensor Information Fusion in Autonomous Driving by Boquan Yang, Jixiong Li, Ting Zeng

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SYMBOLIC ANALYSIS OF CLASSICAL NEURAL NETWORKS FOR DEEP LEARNING by Vladimir Milićević, Igor Franc, Maja Lutovac Banduka, Nemanja Zdravković, Nikola Dimitrijević

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PermGuard: A Scalable Framework for Android Malware Detection Using Permission-to-Exploitation Mapping by Arvind Prasad, Shalini Chandra, Mueen Uddin, Taher Al-Shehari, Nasser A. Alsadhan, Syed Sajid Ullah

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A Comparative Study of Anomaly Detection Techniques for IoT Security Using Adaptive Machine Learning for IoT Threats by Dheyaaldin Alsalman

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Enhancing Monkeypox Detection through Data Analytics: A Comparative Study of Machine and Deep Learning Techniques by Kinjal A. Patel, Asadi Srinivasulu, Kuntesh Jani, Goddindla Sreenivasulu

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Enhanced dry SO₂ capture estimation using Python-driven computational frameworks with hyperparameter tuning and data augmentation by Robert Makomere, Hilary Rutto, Alfayo Alugongo, Lawrence Koech, Evans Suter, Itumeleng Kohitlhetse

Subjects: “…Machine learning…”
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